Corporate Training
Every Course We Teach, In One Place
Ten tracks that run from a first look at AI through to agent engineering and board-level strategy. Browse the outlines, then tell us which ones your team needs.
Nothing matches that search. Try a broader term, or clear the level filter.
Track 01
Artificial Intelligence Foundations
This track is where everyone starts learning about AI. You will learn what AI is, how it works, and where it is used every day. Bosses and managers learn how to make smart choices with AI, and everyone learns how to use helpful AI tools in their daily jobs. You will also learn how to talk to AI clearly with good prompts, how to use AI fairly and safely, and how to use it without breaking any rules.
-
A non-technical introduction to what AI is, how it creates business value, and how to navigate the AI landscape — without requiring any technical background.
What You'll Learn
- What AI and machine learning are and how they work
- How to identify and scope AI opportunities in your organization
- How to build a realistic AI strategy and set expectations
- The societal impact of AI and how to navigate ethical questions
Skills You'll Gain
- AI Literacy
- Strategic Thinking
- AI Project Scoping
- Organizational AI Adoption
Tools You'll Learn
- ChatGPT
- Claude
- Google Gemini
- AI landscape survey tools
Modules
- What is AI?
- Building AI Projects
- AI Inside Your Company
- AI and Society
-
A strategic-level program helping senior leaders understand AI's business impact, frame investment decisions, and govern AI adoption responsibly.
What You'll Learn
- How to build and communicate the business case for AI
- Operating model design for AI at enterprise scale
- How to set governance structures and risk appetite
- How to prioritize AI investments across functions
Skills You'll Gain
- AI Strategy
- Executive Decision-Making
- AI Governance
- Investment Prioritization
Tools You'll Learn
- AI readiness frameworks
- Board governance templates
- AI opportunity mapping tools
Modules
- AI Strategy Foundations for Executives
- Identifying and Prioritizing AI Opportunities
- Building the AI Business Case
- Enterprise AI Operating Model
- AI Governance and Risk for Leaders
- Leading Organizational AI Adoption
-
Equips team leaders with practical tools to redesign workflows, coach teams through AI adoption, and maintain quality and accountability.
What You'll Learn
- How to lead AI-augmented teams effectively
- Redesigning team workflows with generative AI
- Coaching teams through AI adoption and resistance
- Setting guardrails, review points, and quality controls
Skills You'll Gain
- Change Leadership
- Team Management
- Workflow Design
- AI Adoption Planning
Tools You'll Learn
- Microsoft Copilot
- ChatGPT
- Notion AI
- workflow mapping tools
Modules
- GenAI for Leaders — The Manager's Landscape
- Redesigning Team Workflows with AI
- People Management in an AI-Augmented Team
- Managing Risk, Quality, and Accountability
- Leading AI Change and Sustaining Adoption
-
Hands-on introduction to the AI tools that help employees work faster, write better, and automate everyday tasks across any role.
What You'll Learn
- How to use AI to draft, edit, and summarize documents
- How to analyze information and research faster with AI
- How to automate repetitive tasks without writing code
- How to evaluate and critically review AI-generated output
Skills You'll Gain
- AI Tool Proficiency
- Prompt Writing
- Task Automation
- Productivity Optimization
Tools You'll Learn
- Google Gemini
- Google Workspace AI (Duet AI)
- ChatGPT
- Copilot
Modules
- Introduction to AI and How It Helps You Work
- Maximizing Productivity with AI Tools
- The Art of Prompt Engineering
- Using AI Responsibly in the Workplace
- Staying Ahead of the AI Curve
-
Covers the principles, frameworks, and practical controls needed to develop and deploy AI responsibly across organizations — from bias mitigation to governance design.
What You'll Learn
- Core AI ethics principles and how they apply in practice
- How to identify and mitigate bias and fairness risks in AI
- Governance frameworks and compliance requirements for AI
- How to build an organizational responsible AI culture
Skills You'll Gain
- AI Ethics
- Responsible AI
- AI Governance
- Bias Assessment
- Regulatory Compliance
Tools You'll Learn
- Responsible AI assessment frameworks
- Model cards
- Bias testing tools
- ISO 42001 guidance
Modules
- Foundations of Responsible AI
- AI Bias and Fairness
- AI Governance Frameworks
- Privacy, Data Protection, and AI
- AI Risk Management
- Building a Responsible AI Culture
-
Teaches the principles and techniques behind effective prompt writing to get better, more consistent results from any large language model.
What You'll Learn
- How large language models process and respond to prompts
- The anatomy of an effective prompt
- Techniques including few-shot, chain-of-thought, and role prompting
- How to test, iterate, and improve prompt quality
Skills You'll Gain
- Prompt Engineering
- LLM Interaction
- Output Quality Control
- Instruction Design
Tools You'll Learn
- ChatGPT
- Claude
- Gemini
- prompt testing frameworks
Modules
- Introduction to LLMs and Prompting
- Prompt Anatomy and Structure
- Advanced Prompting Techniques
- Prompt Testing and Iteration
- Domain-Specific Prompting Applications
-
Builds on prompt fundamentals to cover multi-step prompt chains, context management, structured outputs, and production-grade prompting workflows.
What You'll Learn
- Chain-of-thought and tree-of-thought reasoning techniques
- Context window management across long workflows
- Designing and connecting multi-step prompt chains
- Structured output formats and JSON mode
- Retrieval-augmented prompting for grounded responses
Skills You'll Gain
- Prompt Chaining
- Context Engineering
- Structured Output Design
- Reasoning Prompts
- Workflow Design
Tools You'll Learn
- Claude API
- OpenAI API
- LangChain
- LlamaIndex
Modules
- Review of Prompting Fundamentals
- Context and Memory Management
- Chaining Prompts Together
- Structured Output and JSON Mode
- Retrieval-Augmented Prompting
- Evaluation and Quality Control
-
A plain-language introduction to AI for employees with no technical background — covering what AI can do, its limits, and how to use it safely at work.
What You'll Learn
- What AI is and what it is not
- Common AI misconceptions and how to spot them
- How to use AI tools safely and within workplace policy
- How to recognize and critically evaluate AI-generated content
Skills You'll Gain
- AI Literacy
- Digital Awareness
- Safe AI Use
- Critical Thinking
Tools You'll Learn
- ChatGPT
- Claude
- Microsoft Copilot
- workplace AI assistants
Modules
- AI Demystified
- What AI Can and Cannot Do
- AI in Your Daily Work
- Using AI Safely and Responsibly
- AI and the Future of Work
Track 02
Generative AI & LLM Tools
This track is all about creative AI helpers that can write, draw, talk, and make videos. You will learn to use famous helpers like Claude, ChatGPT, Copilot, and Gemini at work. You will practice writing, making pictures, and creating sounds with AI. You will also learn how to build your own mini AI assistants, compare different tools to pick the best one, and use AI for research that helps you find good answers fast.
-
Practical introduction to Anthropic's Claude for everyday business use — drafting, summarizing, analyzing, and collaborating with AI in professional workflows.
What You'll Learn
- How Claude works and where it excels compared to other AI tools
- How to write effective prompts tailored to Claude's strengths
- Using Claude for writing, research, analysis, and communication tasks
- Safe and responsible use of Claude inside business environments
Skills You'll Gain
- Claude Proficiency
- Prompt Writing
- AI-Assisted Work
- Business Communication
Tools You'll Learn
- Claude.ai
- Claude Projects
- Claude API basics
Modules
- Getting Started with Claude
- Core Claude Capabilities
- Prompting Claude Effectively
- Claude for Business Writing and Documents
- Claude for Research and Analysis
- Safe and Responsible Claude Use
-
Covers how to use Claude's Projects feature for team knowledge management and Claude Code for AI-assisted software development workflows.
What You'll Learn
- Setting up and managing Claude Projects for team use
- Building shared knowledge bases and document libraries
- Using Claude Code for code generation, review, and debugging
- Integrating AI assistance into team development workflows
Skills You'll Gain
- Claude Projects
- AI-Assisted Development
- Knowledge Management
- Code Review with AI
Tools You'll Learn
- Claude.ai Projects
- Claude Code
- VS Code
- GitHub Copilot
Modules
- Introduction to Claude Projects
- Building Team Knowledge Bases
- Introduction to Claude Code
- Code Generation with Claude
- Code Review and Debugging with AI
- Team Collaboration Workflows
-
Developer-level training on building autonomous AI agents using Anthropic's Claude Agent SDK — covering tool use, memory, orchestration, and production safety.
What You'll Learn
- Claude Agent SDK architecture and core concepts
- Designing agent tasks and configuring tool use
- Implementing memory and retrieval for persistent agents
- Building and coordinating multi-agent systems
- Evaluating, testing, and safely deploying agents to production
Skills You'll Gain
- Agent Development
- SDK Programming
- Tool Use Design
- Multi-Agent Orchestration
- Python
Tools You'll Learn
- Claude Agent SDK
- Python
- REST APIs
- vector databases
- Claude API
Modules
- Introduction to AI Agents
- Claude Agent SDK Fundamentals
- Tool Use and Function Calling
- Memory and Retrieval
- Multi-Agent Orchestration
- Safety, Evaluation, and Testing
- Production Deployment
-
Comprehensive hands-on training in ChatGPT for business use — covering prompting, productivity workflows, custom instructions, and ethical usage.
What You'll Learn
- ChatGPT capabilities, limitations, and best use cases
- Writing high-quality prompts for business tasks
- Using ChatGPT for content, analysis, and problem-solving
- Setting up custom instructions and GPT configurations
Skills You'll Gain
- ChatGPT Proficiency
- Prompt Engineering
- AI Content Creation
- Productivity
Tools You'll Learn
- ChatGPT
- GPT-4o
- DALL-E
- Custom GPTs
Modules
- Introduction to ChatGPT
- Effective Prompting for Business
- ChatGPT for Writing and Communication
- ChatGPT for Analysis and Research
- Advanced ChatGPT Features
- Responsible Use and Limitations
-
Teaches how to design, build, and deploy custom GPTs and AI assistants tailored to specific business roles and workflows.
What You'll Learn
- How to configure a Custom GPT from scratch
- Creating GPT actions to connect external tools and APIs
- Setting up knowledge files and custom instructions
- Testing, refining, and deploying assistants to your team
Skills You'll Gain
- GPT Builder
- Custom AI Design
- Knowledge Base Configuration
- API Actions
- AI Deployment
Tools You'll Learn
- OpenAI GPT Builder
- ChatGPT Plus
- GPT Actions (API)
- knowledge file setup
Modules
- Introduction to Custom GPTs
- Configuring Your GPT's Persona and Instructions
- Adding Knowledge Files and Context
- Building GPT Actions and API Connections
- Testing and Refining Your GPT
- Deploying to Your Team
-
Practical training on Microsoft 365 Copilot across Word, Excel, Outlook, Teams, and PowerPoint — for business users of any technical level.
What You'll Learn
- Using Copilot in Word to draft, rewrite, and summarize documents
- Analysing data and generating insights with Copilot in Excel
- Composing and managing email smarter with Copilot in Outlook
- Generating meeting summaries and action items with Copilot in Teams
- Creating polished presentations faster with Copilot in PowerPoint
Skills You'll Gain
- Microsoft Copilot
- Office Productivity
- AI-Assisted Writing
- Meeting Efficiency
- Data Analysis
Tools You'll Learn
- Microsoft Copilot
- Word
- Excel
- Outlook
- Teams
- PowerPoint
Modules
- Introduction to Microsoft 365 Copilot
- Copilot in Word and Outlook
- Copilot in Excel and PowerPoint
- Copilot in Teams and Meetings
- Advanced Copilot Workflows
- Governance, Privacy, and Safe Use
-
Hands-on training in Google Gemini across Gmail, Docs, Sheets, Slides, and Meet for everyday business productivity.
What You'll Learn
- Using Gemini in Gmail to draft, reply, and summarize emails
- Writing and editing documents faster with Gemini in Docs
- Analyzing data and generating formulas with Gemini in Sheets
- Creating presentations with Gemini in Slides
- Generating meeting notes and summaries with Gemini in Meet
Skills You'll Gain
- Google Gemini
- Google Workspace
- AI-Assisted Writing
- Productivity
- Data Analysis
Tools You'll Learn
- Gmail
- Google Docs
- Google Sheets
- Google Slides
- Google Meet
- Gemini
Modules
- Introduction to Gemini for Google Workspace
- Gemini in Gmail and Docs
- Gemini in Sheets and Data
- Gemini in Slides and Meet
- Advanced Workspace AI Workflows
- Privacy, Governance, and Responsible Use
-
Focused training on using Perplexity AI as a real-time research engine for market intelligence, competitor analysis, and industry monitoring.
What You'll Learn
- How Perplexity's search modes and citation model work
- Building structured research workflows with Perplexity
- Conducting competitive intelligence and market scanning
- Evaluating, verifying, and citing AI-sourced information
Skills You'll Gain
- AI Research
- Market Intelligence
- Competitive Analysis
- Information Verification
Tools You'll Learn
- Perplexity AI
- Perplexity Pro
- source verification tools
- research templates
Modules
- Introduction to Perplexity AI
- Advanced Search and Research Techniques
- Competitive Intelligence Workflows
- Market and Industry Monitoring
- Evaluating and Verifying Sources
- Integrating Perplexity into Business Workflows
-
Side-by-side exploration of Claude, ChatGPT, Microsoft Copilot, and Google Gemini to help teams select and standardize the right AI tool for their workflows.
What You'll Learn
- The strengths and limitations of each major AI platform
- How to match the right tool to specific task types
- Security, governance, and data handling differences across platforms
- How to build a shared team AI toolkit and usage standard
Skills You'll Gain
- AI Tool Evaluation
- Platform Selection
- Prompt Portability
- AI Governance
Tools You'll Learn
- Claude
- ChatGPT
- Microsoft Copilot
- Google Gemini
- Perplexity AI
Modules
- Overview of Major AI Platforms
- Prompting Across Platforms
- Task-Based Tool Comparison
- Security and Governance by Platform
- Building a Team AI Toolkit
- Standardizing AI Usage in Your Organization
-
Practical training in using AI to generate images, video, audio, and voice — and how to integrate multimodal AI into creative and business workflows.
What You'll Learn
- How text-to-image generation models work and how to prompt them
- Creating AI video content for marketing and communications
- Voice cloning and synthesis for business use cases
- Building multimodal workflows combining image, video, and text
- Ethical considerations and rights around AI-generated media
Skills You'll Gain
- Image Generation
- AI Video
- Voice Synthesis
- Creative AI
- Content Production
Tools You'll Learn
- Midjourney
- DALL-E
- Runway
- ElevenLabs
- Sora
- Adobe Firefly
- HeyGen
Modules
- Introduction to Multimodal AI
- Text-to-Image Generation
- AI Video Creation
- Voice and Audio Generation
- Multi-Modal Workflows
- Ethics and Rights in AI-Generated Media
Track 03
Data Science & Analytics
This track is about turning numbers into helpful answers. You will learn how to collect data, understand statistics, and spot patterns that help businesses make good choices. You will practice making clear charts and pretty dashboards using tools like Power BI, Tableau, and Excel. You will also learn SQL, the special language used to talk to databases, and how to tell great stories with data that everyone can understand. From easy lessons to a big practice bootcamp, there is something for every level of learner.
-
Introduces the full data science workflow — from data collection and cleaning through analysis, modeling, and communication of actionable insights.
What You'll Learn
- The end-to-end data science process and mindset
- How to collect, clean, and prepare real-world datasets
- Exploratory data analysis and statistical foundations
- How to communicate findings clearly to business stakeholders
Skills You'll Gain
- Data Analysis
- Statistical Thinking
- Python
- Data Cleaning
- Exploratory Data Analysis
Tools You'll Learn
- Python
- Jupyter Notebooks
- Pandas
- Matplotlib
- Seaborn
Modules
- Introduction to Data Science
- Data Collection and Wrangling
- Exploratory Data Analysis
- Statistical Modeling Foundations
- Machine Learning Basics
- Data Communication and Storytelling
-
Applied statistics course focused on helping business professionals interpret data, test hypotheses, and make evidence-based decisions with confidence.
What You'll Learn
- Descriptive statistics and probability distributions
- How to design and interpret hypothesis tests
- Regression analysis for business forecasting
- How to communicate statistical uncertainty clearly
Skills You'll Gain
- Statistical Analysis
- Hypothesis Testing
- Regression
- A/B Testing
- Data Interpretation
Tools You'll Learn
- Excel
- Python (SciPy, StatsModels)
- R basics
Modules
- Foundations of Statistics
- Probability and Distributions
- Sampling and Estimation
- Hypothesis Testing
- Regression Analysis
- Statistical Decision-Making in Business
-
Covers the analytical thinking and technical skills needed to turn raw business data into clear recommendations and measurable decisions.
What You'll Learn
- How to frame business questions into analytical problems
- Exploring and summarizing datasets with SQL and visualization
- Translating data insights into business recommendations
- Building a repeatable analytics workflow for your team
Skills You'll Gain
- Business Analytics
- SQL
- Data Visualization
- Analytical Thinking
- Report Writing
Tools You'll Learn
- SQL
- Tableau
- Excel
- Google Sheets
- Looker basics
Modules
- Introduction to Business Analytics
- Framing Business Questions
- Data Exploration and SQL
- Visualizing Business Data
- Communicating Insights to Stakeholders
- Building an Analytics Workflow
-
Advanced training for data professionals to design, automate, and deploy end-to-end enterprise analytics solutions using Microsoft Fabric.
What You'll Learn
- Architect lakehouse solutions using Medallion design and Delta tables
- Build automated data pipelines with Data Factory and PySpark
- Design real-time dashboards with Eventstream and KQL
- Implement enterprise security, governance, and CI/CD workflows
Skills You'll Gain
- Data Architecture
- Data Warehousing
- ETL
- DAX
- PySpark
- CI/CD
Tools You'll Learn
- Microsoft Fabric
- Power BI
- Azure DevOps
- PySpark
- KQL
- Git
Modules
- Fabric Foundations & Workspaces
- Medallion Architecture & Delta Tables
- Data Pipelines & Orchestration
- Real-Time Intelligence & Semantic Modeling
- Security, Governance & DevOps
- Launching Your Fabric Career
-
Teaches the design principles and chart selection logic behind effective data visualization for business and executive audiences.
What You'll Learn
- Choosing the right chart type for each type of comparison
- Applying visual hierarchy, color, and annotation to guide the reader
- Reducing clutter and improving clarity in charts and dashboards
- Designing visualizations for accessibility and diverse audiences
Skills You'll Gain
- Data Visualization
- Chart Design
- Visual Communication
- Dashboard Layout
- Accessibility
Tools You'll Learn
- Tableau
- Power BI
- Flourish
- Datawrapper
- Excel
Modules
- Why Visualization Matters
- Chart Types and When to Use Them
- Visual Hierarchy and Design Principles
- Color and Typography for Data
- Avoiding Common Visualization Mistakes
- Designing for Your Audience
-
End-to-end Power BI training from data connection and modeling through DAX calculations, interactive dashboard design, and governed publishing.
What You'll Learn
- Connecting to data sources and shaping data with Power Query
- Building a star schema data model in Power BI Desktop
- Writing DAX measures for KPIs and time intelligence
- Designing audience-ready dashboards with effective visuals
- Publishing, sharing, and governing reports in Power BI Service
Skills You'll Gain
- Power BI
- DAX
- Power Query
- Data Modeling
- Dashboard Design
Tools You'll Learn
- Power BI Desktop
- Power BI Service
- Power Query
- DAX Studio
Modules
- Introduction to Power BI
- Connecting and Transforming Data with Power Query
- Data Modeling
- DAX Calculations and Measures
- Visualizations and Dashboard Design
- Publishing, Sharing, and Governance
- Row-Level Security
-
Comprehensive Tableau training covering data connection, calculated fields, interactive dashboard design, and publishing visual analytics.
What You'll Learn
- Connecting Tableau to various data sources and preparing data
- Building comparison, trend, and distribution visualizations
- Creating calculated fields, parameters, and table calculations
- Designing interactive dashboards with filters and actions
- Publishing and maintaining views on Tableau Server or Public
Skills You'll Gain
- Tableau
- Data Visualization
- Dashboard Design
- Calculated Fields
- Tableau Prep
Tools You'll Learn
- Tableau Desktop
- Tableau Prep
- Tableau Public
- Tableau Server basics
Modules
- Getting Started with Tableau
- Working with Data in Tableau
- Building Visualizations
- Calculated Fields and Analytics
- Dashboard and Story Design
- Publishing and Sharing
-
Shows business users how to combine Excel's analytical power with Microsoft Copilot to accelerate data analysis, formula building, and reporting.
What You'll Learn
- Using Copilot to analyze datasets and surface patterns
- Generating and debugging formulas with Copilot assistance
- Building pivot tables and charts with AI guidance
- Critical review practices for AI-generated Excel outputs
Skills You'll Gain
- Excel
- Microsoft Copilot
- Data Analysis
- Formula Design
- Pivot Tables
Tools You'll Learn
- Excel
- Microsoft 365 Copilot
- Power Query basics
Modules
- Excel Foundations Review
- Introduction to Copilot in Excel
- Data Cleaning with Copilot
- Analysis and Pivot Tables with Copilot
- Building Reports with Copilot
- Governance and Review Practices
-
Teaches business users and analysts to write SQL queries for extracting, filtering, joining, and summarizing data from relational databases.
What You'll Learn
- Relational database structure and how to read a schema
- Writing SELECT, WHERE, and ORDER BY queries
- Joining multiple tables to answer cross-functional questions
- Aggregating data with GROUP BY and writing subqueries
Skills You'll Gain
- SQL
- Data Querying
- Database Navigation
- Business Reporting
- Data Analysis
Tools You'll Learn
- MySQL
- PostgreSQL
- BigQuery
- SQLite
- DBeaver
Modules
- Introduction to Databases and SQL
- Filtering and Sorting Data
- Joining Tables
- Aggregating and Grouping Data
- Subqueries and CTEs
- Writing Business Reports with SQL
-
Deep-dive into advanced SQL patterns, relational database design, normalization, and query optimization for analysts and engineers.
What You'll Learn
- Advanced JOIN patterns, window functions, and analytics queries
- Relational database normalization and schema design
- Query optimization and indexing strategies
- Stored procedures, views, and database security
Skills You'll Gain
- Advanced SQL
- Database Design
- Query Optimization
- Window Functions
- Schema Modeling
Tools You'll Learn
- PostgreSQL
- MySQL
- DBeaver
- pgAdmin
- ERD design tools
Modules
- Advanced SQL Patterns
- Window Functions and Analytics
- Database Normalization
- Schema Design and ERD
- Performance and Query Optimization
- Stored Procedures and Views
- Database Security and Access Control
-
Teaches how to turn data findings into compelling narratives and executive-ready dashboards that drive decisions rather than just report numbers.
What You'll Learn
- Narrative structure for data presentations and reports
- Choosing visuals that support rather than decorate your story
- Annotating and emphasizing what matters in charts
- Presenting uncertainty and caveats with confidence
Skills You'll Gain
- Data Storytelling
- Narrative Design
- Dashboard Design
- Executive Communication
- Visual Analytics
Tools You'll Learn
- Tableau
- Power BI
- PowerPoint
- Canva for data
Modules
- The Art of Data Storytelling
- Structuring Your Data Narrative
- Choosing the Right Visual
- Annotation and Emphasis
- Dashboard as a Story
- Presenting Insights to Stakeholders
-
Intensive full-program training covering the complete data science toolkit from Python fundamentals through machine learning and model deployment.
What You'll Learn
- Python for data science including Pandas and NumPy
- Data collection, cleaning, and exploratory analysis
- Machine learning algorithms and model evaluation
- End-to-end data science project workflow from problem to deployment
Skills You'll Gain
- Python
- SQL
- Machine Learning
- Model Evaluation
- Data Analysis
- Jupyter
Tools You'll Learn
- Python
- Pandas
- NumPy
- Matplotlib
- Scikit-learn
- SQL
- Jupyter
Modules
- Introduction to Data Science
- Python for Data Science
- Data Analysis with Python
- Databases and SQL for Data Scientists
- Data Visualization
- Machine Learning with Python
- Applied Data Science Capstone
Track 04
Automation & AI Agents
This track teaches you how to make computers do boring, repeat jobs so people have time for bigger ideas. You will learn to connect apps so they work together by themselves, using tools like Zapier, Make, and Microsoft Power Automate. You will also meet smart AI agents that can finish tasks on their own, and learn how to find the jobs in your office that are best for automation. These helpers save time and stop silly mistakes, so your team can do more important work.
-
Introduction to no-code automation tools and how AI enhances them to create intelligent, multi-step business workflows without writing a single line of code.
What You'll Learn
- How automation triggers and actions work across connected apps
- Building multi-step workflows in Zapier and Make
- Adding AI steps to automate content, categorization, and responses
- Common business automation use cases and how to scope them
Skills You'll Gain
- No-Code Automation
- Workflow Design
- Zapier
- Make (Integromat)
- AI Integration
Tools You'll Learn
- Zapier
- Make (Integromat)
- ChatGPT integration
- Slack
- Google Workspace connectors
Modules
- Introduction to Workflow Automation
- Building Your First Zap or Scenario
- Multi-Step Automations
- Adding AI to Automation Workflows
- Troubleshooting and Maintenance
- Business Use Cases and Templates
-
Intensive hands-on bootcamp for building sophisticated multi-step business automations with no-code tools, AI APIs, and advanced workflow logic.
What You'll Learn
- Advanced workflow architecture with conditional logic and branching
- Error handling and building reliable, production-grade automations
- Connecting AI APIs to no-code automation platforms
- Automating reports, approvals, and communications end-to-end
Skills You'll Gain
- Advanced Automation
- No-Code Development
- AI-Enhanced Workflows
- Process Optimization
- Error Handling
Tools You'll Learn
- Zapier
- Make
- n8n
- Airtable
- Notion
- OpenAI API
Modules
- Automation Architecture Fundamentals
- Advanced Workflow Design
- Conditional Logic and Branching
- Integrating AI into Automations
- Error Handling and Reliability
- Building a Complete Business Automation
-
Teaches Microsoft's low-code platform for building business automations with Power Automate and custom applications with Power Apps.
What You'll Learn
- Building automated flows for approvals, notifications, and data sync
- Advanced Power Automate patterns with conditions and loops
- Creating canvas apps in Power Apps for business users
- Connecting automations and apps to Microsoft 365 data sources
Skills You'll Gain
- Power Automate
- Power Apps
- Low-Code Development
- Microsoft 365
- Business Process Automation
Tools You'll Learn
- Power Automate
- Power Apps
- Dataverse
- SharePoint
- Microsoft 365 connectors
Modules
- Introduction to the Microsoft Power Platform
- Building Flows with Power Automate
- Advanced Flow Patterns
- Introduction to Power Apps
- Building Canvas Apps
- Connecting to Data Sources
- Governance and Administration
-
Developer-level training on building production-grade AI agents using leading frameworks including LangChain, AutoGen, and Claude Agent SDK.
What You'll Learn
- AI agent architecture patterns and design principles
- Tool use, function calling, and API integration in agents
- Memory, retrieval, and context management in multi-step agents
- Multi-agent coordination with LangGraph and AutoGen
- Evaluating, debugging, and safely deploying agents
Skills You'll Gain
- LangChain
- AutoGen
- Agent Programming
- Tool Use
- Vector Databases
- Python
Tools You'll Learn
- LangChain
- LangGraph
- AutoGen
- Semantic Kernel
- Python
- OpenAI API
- Pinecone
Modules
- Introduction to AI Agents
- LangChain Fundamentals
- Retrieval-Augmented Generation
- Building Agent Tools
- LangGraph for Multi-Step Agents
- AutoGen Multi-Agent Systems
- Semantic Kernel
- Evaluation and Production Deployment
-
Practical training in UiPath RPA to automate rules-based, repetitive desktop and web processes — no prior programming experience required.
What You'll Learn
- UiPath Studio interface and the core automation development cycle
- Recording and building automation workflows for desktop and web
- Working with data, files, emails, and applications in UiPath
- Exception handling and bot deployment via UiPath Orchestrator
Skills You'll Gain
- UiPath
- RPA Development
- Process Automation
- Bot Management
- Exception Handling
Tools You'll Learn
- UiPath Studio
- UiPath Orchestrator
- UiPath Document Understanding
Modules
- Introduction to RPA and UiPath
- UiPath Studio Fundamentals
- Recording and Automating Tasks
- Working with Data and Files
- Exception Handling
- Orchestrator and Bot Deployment
-
Strategic-level course for identifying automation opportunities, building the business case, and selecting tools for sustainable process improvement.
What You'll Learn
- How to discover and map processes suitable for automation
- Assessing automation feasibility, risk, and expected ROI
- Selecting the right tools across no-code, low-code, and RPA
- Planning governance, maintenance, and change management for automation
Skills You'll Gain
- Process Analysis
- Automation Strategy
- Business Case Development
- Tool Selection
- Change Management
Tools You'll Learn
- Process mapping tools
- BPMN notation
- automation assessment frameworks
Modules
- Introduction to Business Process Automation
- Process Discovery and Mapping
- Identifying Automation Opportunities
- Building the Business Case
- Selecting Automation Tools
- Governance and Sustainability
- Managing Automation Change
Track 05
Programming, Computer Science & Software Engineering
This track is for people who love building things with code. You will start with Python, an easy language for beginners, and learn how computers think. Then you will explore machine learning, where computers learn from examples, plus how they see pictures and understand words. You will also learn to build websites, use the cloud, and make apps faster with AI helpers that write code with you. By the end, you can build your own smart apps and even teach computers new tricks.
-
Beginner-friendly introduction to Python programming covering core syntax, data structures, and practical scripting for everyday technical tasks.
What You'll Learn
- Python syntax, variables, and core data types
- Control flow with conditionals, loops, and functions
- Working with files, strings, lists, and dictionaries
- Reading stack traces and debugging code effectively
Skills You'll Gain
- Python
- Programming Fundamentals
- Debugging
- Scripting
- Computational Thinking
Tools You'll Learn
- Python 3
- Jupyter Notebooks
- VS Code
- IDLE
Modules
- Why Programming?
- Variables and Expressions
- Conditional Execution
- Functions
- Iteration and Loops
- Strings and Files
- Lists, Dictionaries, and Tuples
-
Teaches how to use Python's data analysis ecosystem — Pandas, NumPy, and Matplotlib — to explore, clean, and visualize real business datasets.
What You'll Learn
- NumPy array operations for numerical computing
- Pandas DataFrames for data manipulation and aggregation
- Data cleaning, reshaping, and handling missing values
- Creating visualizations with Matplotlib and Seaborn
- Consuming external data via APIs
Skills You'll Gain
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Data Cleaning
- API Consumption
Tools You'll Learn
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebooks
Modules
- Python Basics for Data
- NumPy and Array Manipulation
- Pandas DataFrames
- Data Cleaning and Preparation
- Data Visualization
- Working with APIs and External Data
- Applied Data Analysis Project
-
Rigorous introduction to machine learning algorithms, model evaluation, and practical implementation using Python and Scikit-learn.
What You'll Learn
- Supervised learning: regression and classification algorithms
- Unsupervised learning: clustering and dimensionality reduction
- Model evaluation, selection, and the bias-variance trade-off
- Regularization techniques and hyperparameter tuning
Skills You'll Gain
- Machine Learning
- Scikit-learn
- Model Evaluation
- Regression
- Classification
- Clustering
Tools You'll Learn
- Python
- Scikit-learn
- NumPy
- Pandas
- TensorFlow basics
- Jupyter Notebooks
Modules
- Introduction to Machine Learning
- Regression
- Classification
- Clustering and Unsupervised Learning
- Model Evaluation and Selection
- Regularization and Improvement
- Neural Network Introduction
- Applied ML Project
-
Comprehensive training in deep learning architectures — from neural network fundamentals through CNNs, RNNs, and modern attention-based models.
What You'll Learn
- Neural network architecture, activations, and backpropagation
- Hyperparameter tuning and training optimization techniques
- Convolutional neural networks (CNNs) for vision tasks
- Recurrent networks (RNNs/LSTMs) for sequential data
- Transformers and attention mechanisms
Skills You'll Gain
- Deep Learning
- TensorFlow
- Neural Networks
- CNN
- RNN
- Transformers
Tools You'll Learn
- Python
- TensorFlow
- Keras
- NumPy
- Jupyter Notebooks
- Google Colab
Modules
- Neural Networks and Deep Learning
- Improving Deep Neural Networks
- Structuring ML Projects
- Convolutional Neural Networks
- Sequence Models
-
Practical training in applying deep learning models to image recognition, object detection, and visual AI applications in business contexts.
What You'll Learn
- Image classification with convolutional neural networks
- Transfer learning with pre-trained vision models
- Object detection and localization techniques
- Image segmentation and visual AI deployment
Skills You'll Gain
- Computer Vision
- CNN
- Transfer Learning
- Object Detection
- TensorFlow
- PyTorch
Tools You'll Learn
- Python
- TensorFlow
- PyTorch
- OpenCV
- YOLO
- Hugging Face
Modules
- Introduction to Computer Vision
- CNN Architecture
- Transfer Learning
- Object Detection and Localization
- Image Segmentation
- Computer Vision Applications
- Model Deployment
-
In-depth training covering text processing, sentiment analysis, named entity recognition, and modern transformer-based language models.
What You'll Learn
- Text preprocessing, tokenization, and feature extraction
- Sentiment analysis and text classification
- Sequence-to-sequence models and attention mechanisms
- Transformer architecture, BERT, and fine-tuning language models
Skills You'll Gain
- NLP
- Transformers
- BERT
- Text Classification
- Sentiment Analysis
- Named Entity Recognition
Tools You'll Learn
- Python
- NLTK
- SpaCy
- Hugging Face Transformers
- TensorFlow
- PyTorch
Modules
- NLP with Classification and Vector Spaces
- NLP with Probabilistic Models
- NLP with Sequence Models
- NLP with Attention Models
-
End-to-end web development training covering frontend, backend, databases, REST APIs, containers, and cloud deployment.
What You'll Learn
- HTML, CSS, and JavaScript for frontend development
- Building interactive UIs with React
- Server-side development with Node.js and Express
- Databases, REST APIs, Docker, and cloud deployment
Skills You'll Gain
- HTML/CSS
- JavaScript
- React
- Node.js
- REST APIs
- Docker
- Git
- Cloud Deployment
Tools You'll Learn
- HTML
- CSS
- JavaScript
- React
- Node.js
- Express
- MongoDB
- Docker
- GitHub
- IBM Cloud
Modules
- Introduction to Web Development
- HTML, CSS, and JavaScript Essentials
- Front-End Development with React
- Back-End Development with Node.js
- Databases and ORM
- REST APIs
- Containers and DevOps
- Cloud Deployment
- Capstone Project
-
Survey of core cloud computing concepts and services across Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
What You'll Learn
- Core cloud models: IaaS, PaaS, SaaS, and shared responsibility
- Compute, storage, and networking fundamentals on major platforms
- Identity, access management, and cloud security basics
- Cloud cost management and architectural design principles
Skills You'll Gain
- Cloud Computing
- AWS
- Azure
- GCP
- Cloud Architecture
- IAM
- Cloud Security
Tools You'll Learn
- AWS Console
- Azure Portal
- Google Cloud Console
- Terraform basics
- CloudWatch
Modules
- Introduction to Cloud Computing
- AWS Core Services
- Azure Core Services
- Google Cloud Core Services
- Cloud Networking and Security
- Identity and Access Management
- Cost Optimization
- Cloud Architecture Design
-
Covers the culture, practices, and tools behind DevOps including CI/CD pipelines, containerization, and infrastructure as code.
What You'll Learn
- DevOps principles, culture, and the shift to continuous delivery
- Containerization with Docker and orchestration with Kubernetes
- Designing CI/CD pipelines for automated testing and deployment
- Infrastructure as code and monitoring in production environments
Skills You'll Gain
- DevOps
- CI/CD
- Docker
- Kubernetes
- GitHub Actions
- Infrastructure as Code
Tools You'll Learn
- Docker
- Kubernetes
- Jenkins
- GitHub Actions
- Terraform
- Ansible
- Prometheus
Modules
- Introduction to DevOps
- Source Control and Git
- Continuous Integration
- Continuous Delivery and Deployment
- Containers with Docker
- Orchestration with Kubernetes
- Infrastructure as Code
- Monitoring and Observability
-
Rigorous introduction to fundamental algorithms and data structures for technical staff needing computer science depth.
What You'll Learn
- Core data structures: arrays, linked lists, trees, and graphs
- Fundamental sorting and searching algorithms
- Dynamic programming and greedy algorithm approaches
- Analysing algorithm complexity with Big-O notation
Skills You'll Gain
- Algorithms
- Data Structures
- Computational Complexity
- Problem Solving
- Python
Tools You'll Learn
- Python
- C++
- algorithm visualization tools
- coding practice platforms
Modules
- Introduction to Data Structures
- Arrays and Linked Lists
- Stacks, Queues, and Priority Queues
- Trees and Graphs
- Sorting and Searching Algorithms
- Dynamic Programming
- Algorithm Design Patterns
-
Practical training in using AI pair-programming tools to write, review, debug, and document code faster and more reliably.
What You'll Learn
- Effective prompt patterns for code generation and explanation
- Using AI to debug and understand unfamiliar code
- AI-assisted code review and maintaining quality standards
- Integrating AI coding tools into your daily development workflow
Skills You'll Gain
- AI-Assisted Development
- Prompt Engineering for Code
- Code Review
- GitHub Copilot
- Debugging
Tools You'll Learn
- Claude Code
- GitHub Copilot
- Cursor
- VS Code
- ChatGPT for coding
Modules
- Introduction to AI Coding Tools
- Effective Prompting for Code
- Code Generation Techniques
- AI-Assisted Debugging
- Code Review with AI
- Documentation and Testing with AI
- Workflow Integration
-
Teaches non-developers to build functional apps, websites, and automations using AI tools and natural language — no coding background required.
What You'll Learn
- How to ideate and describe what you want to build to an AI
- Using AI assistants to generate, run, and iterate on code
- Building simple websites and tools with vibe coding techniques
- Connecting your creations to data and publishing them
Skills You'll Gain
- Vibe Coding
- AI-Assisted Development
- No-Code Mindset
- App Building
- Prompt Design
Tools You'll Learn
- Claude
- ChatGPT
- Lovable
- Bolt.new
- Replit
- GitHub Copilot
Modules
- Introduction to Vibe Coding
- Describing What You Want to Build
- AI-Assisted App Creation
- Building Websites with AI
- Connecting Data and Automations
- Testing and Iteration
- Publishing Your Creation
Track 06
Cybersecurity
This track teaches you how to keep computers, secrets, and people safe online. You will learn to spot tricky fake emails called phishing, make strong passwords, and build good safety habits. You will also learn how AI helps bad people attack and good people defend. Security teams learn to watch for trouble, experts practice breaking into systems safely, and companies follow rules to protect private information. Anyone can join, from complete beginners to experts, because every lesson makes staying safe easier and clearer.
-
Practical security awareness training helping employees recognize phishing, protect accounts, handle data safely, and respond to incidents correctly.
What You'll Learn
- How to identify phishing emails, smishing, and social engineering
- Strong password practices and multi-factor authentication
- Secure data handling, sharing, and device hygiene
- What to do and who to contact when something looks wrong
Skills You'll Gain
- Security Awareness
- Phishing Recognition
- Password Management
- Data Protection
- Incident Reporting
Tools You'll Learn
- Password managers (LastPass, 1Password)
- MFA apps (Google Authenticator, Duo)
- secure email practices
Modules
- Introduction to Cybersecurity
- Phishing and Social Engineering
- Password and Account Security
- Data Handling and Privacy
- Device and Physical Security
- Incident Reporting
-
Examines how AI is reshaping cybersecurity — from AI-powered attacks and deepfakes to AI-enhanced threat detection and SOC automation.
What You'll Learn
- How attackers are using AI: phishing, deepfakes, and adversarial inputs
- AI-powered intrusion detection and anomaly identification
- Machine learning techniques used in modern security tools
- Evaluating AI security products and avoiding over-reliance
Skills You'll Gain
- AI Security
- Threat Detection
- Anomaly Detection
- Security AI
- Adversarial Machine Learning
Tools You'll Learn
- SIEM platforms
- AI threat intelligence tools
- ML-based detection systems
Modules
- AI and the Evolving Threat Landscape
- AI-Powered Attacks
- AI for Threat Detection and Response
- Machine Learning in Cybersecurity
- AI in Security Operations
- Adversarial Machine Learning
- Governance and Responsible AI Security
-
Comprehensive training in security operations center practices including monitoring, threat detection, incident response, and digital forensics.
What You'll Learn
- SOC roles, structure, and the analyst workflow
- Log analysis, SIEM configuration, and alert triage
- Threat hunting methodologies and indicator analysis
- Incident response lifecycle and digital forensics basics
Skills You'll Gain
- Security Operations
- SIEM
- Incident Response
- Threat Hunting
- Log Analysis
- Digital Forensics
Tools You'll Learn
- Splunk
- Microsoft Sentinel
- CrowdStrike
- Wireshark
- Nessus
Modules
- Introduction to Security Operations
- SIEM and Log Management
- Threat Detection and Analysis
- Incident Response
- Threat Intelligence
- Digital Forensics
- SOC Reporting and Metrics
-
Foundational training in ethical hacking methodology including reconnaissance, vulnerability assessment, exploitation, and professional reporting.
What You'll Learn
- The ethical hacking lifecycle and legal authorization requirements
- Network reconnaissance, scanning, and enumeration techniques
- Vulnerability identification and exploitation fundamentals
- Web application testing and professional findings reporting
Skills You'll Gain
- Ethical Hacking
- Penetration Testing
- Network Security
- Vulnerability Assessment
- Kali Linux
Tools You'll Learn
- Kali Linux
- Nmap
- Metasploit
- Burp Suite
- Nessus
- Wireshark
Modules
- Introduction to Ethical Hacking
- Reconnaissance and Information Gathering
- Scanning and Enumeration
- Vulnerability Analysis
- Exploitation Techniques
- Web Application Testing
- Social Engineering
- Professional Reporting
-
Covers AI-specific governance frameworks, risk assessment methodologies, and compliance requirements including ISO 42001 and the EU AI Act.
What You'll Learn
- AI risk categories and how to map them to organizational controls
- ISO 42001 requirements and implementation steps
- EU AI Act obligations and risk classification
- How to conduct an AI audit and build a governance program
Skills You'll Gain
- AI Governance
- ISO 42001
- EU AI Act
- Risk Management
- Compliance
- AI Audit
Tools You'll Learn
- GRC platforms
- AI risk assessment templates
- ISO 42001 frameworks
- AI audit toolkits
Modules
- Introduction to AI GRC
- AI Risk Categories
- ISO 42001 Framework
- EU AI Act Overview
- AI Risk Assessment and Controls
- AI Audit and Assurance
- Building an AI Governance Program
- Monitoring and Continuous Compliance
-
Focused training on data protection laws and AI compliance requirements in the UAE and GCC region, including the UAE PDPL and sector-specific regulations.
What You'll Learn
- UAE Personal Data Protection Law (PDPL) requirements
- GCC data localization and cross-border transfer rules
- The AI regulatory landscape in the UAE and broader region
- Building a practical data protection compliance program
Skills You'll Gain
- Data Privacy
- UAE PDPL
- GCC Compliance
- AI Regulation
- Data Protection
Tools You'll Learn
- Privacy impact assessment tools
- data mapping templates
- compliance checklists
Modules
- Data Privacy Fundamentals
- UAE Personal Data Protection Law
- GCC Regulatory Landscape
- AI Regulation in the UAE and GCC
- Privacy by Design
- Data Subject Rights Management
- Building a Compliance Program
Track 07
Digital Marketing & AI
This track shows you how AI helps businesses tell people about their products and get more customers. You will learn to create fun posts, pictures, and videos with AI tools. You will also learn how to help websites appear at the top of search results, read numbers from social media, build marketing machines that talk to customers on their own, and give sales teams superpowers to find new customers. Every lesson uses real tools, so you can start growing your business right away.
-
Introduces how AI is transforming digital marketing across content creation, advertising, analytics, and customer engagement — from strategy to execution.
What You'll Learn
- Where AI fits across the full digital marketing funnel
- AI-powered audience targeting and segmentation
- Using AI for content generation while maintaining brand voice
- Applying marketing analytics AI to measure and optimize campaigns
Skills You'll Gain
- AI Marketing
- Digital Strategy
- Content Generation
- Marketing Analytics
- Customer Targeting
Tools You'll Learn
- Google Ads AI
- Meta AI tools
- HubSpot AI
- Canva AI
- ChatGPT for marketing
Modules
- Introduction to AI in Marketing
- AI for Content Creation
- AI-Powered Advertising
- Marketing Analytics with AI
- Personalization and Customer Engagement
- Ethical Marketing AI
-
Practical training in using AI tools to produce marketing copy, visual content, and video at scale while maintaining brand quality and consistency.
What You'll Learn
- Writing ads, social posts, and email copy with AI
- Generating on-brand images and visuals with text-to-image tools
- Creating AI video for marketing and communications
- Reviewing and editing AI output to maintain brand standards
Skills You'll Gain
- AI Copywriting
- Image Generation
- AI Video
- Brand Consistency
- Content Production
Tools You'll Learn
- ChatGPT
- Claude
- Jasper
- Midjourney
- DALL-E
- Runway
- Canva AI
- HeyGen
Modules
- AI for Marketing Copywriting
- Writing Ads and Social Copy with AI
- Email Marketing with AI
- AI Image Creation for Marketing
- AI Video for Marketing
- Brand Voice and Quality Control
-
Teaches how to use AI tools to accelerate keyword research, content optimization, technical SEO analysis, and performance tracking.
What You'll Learn
- AI-powered keyword research and opportunity identification
- Using AI to create content briefs and optimize pages for search
- Technical SEO audits with AI assistance
- Tracking rankings and reporting performance with AI tools
Skills You'll Gain
- SEO
- Keyword Research
- Content Optimization
- Technical SEO
- Search Analytics
Tools You'll Learn
- Surfer SEO
- Semrush
- Ahrefs
- ChatGPT for SEO
- Google Search Console
Modules
- Introduction to AI-Powered SEO
- Keyword Research with AI
- Content Strategy and Briefs
- On-Page Optimization with AI
- Technical SEO Analysis
- Link Building Strategy
- Tracking and Performance Reporting
-
Covers data-driven social media strategy using AI tools for content planning, audience analysis, campaign optimization, and performance measurement.
What You'll Learn
- Social media analytics fundamentals and key metrics
- AI-powered content planning and scheduling
- Audience targeting and lookalike modeling with AI
- Optimizing campaigns and measuring ROI with social analytics
Skills You'll Gain
- Social Media Analytics
- Campaign Management
- Content Planning
- Audience Targeting
- Social Listening
Tools You'll Learn
- Hootsuite
- Sprout Social
- Buffer
- Meta Business Suite
- TikTok Analytics
- ChatGPT
Modules
- Social Media Analytics Fundamentals
- AI Tools for Social Media
- Content Strategy with AI
- Audience Analysis and Targeting
- Campaign Optimization
- Social Listening and Reputation Management
- Measuring ROI
-
Teaches how to design and implement automated marketing workflows and AI-enhanced CRM processes for lead nurturing and customer retention.
What You'll Learn
- Marketing automation workflow design and best practices
- Building email sequences and drip campaigns
- Lead scoring, segmentation, and AI-driven personalization
- Attribution modeling and measuring automation performance
Skills You'll Gain
- Marketing Automation
- CRM
- Email Marketing
- Lead Nurturing
- Segmentation
- Attribution
Tools You'll Learn
- HubSpot
- Salesforce Marketing Cloud
- Marketo
- ActiveCampaign
- Klaviyo
Modules
- Introduction to Marketing Automation
- Email Workflow Design
- Lead Scoring and Segmentation
- CRM and AI Features
- Multi-Channel Automation
- Attribution and Reporting
- Optimization and Testing
-
Equips sales teams with AI tools and techniques for prospecting, personalized outreach, proposal writing, and pipeline management.
What You'll Learn
- AI-powered prospecting and lead research techniques
- Writing personalized outreach at scale with AI
- Using AI for proposals, presentations, and objection handling
- CRM AI features and AI-assisted sales forecasting
Skills You'll Gain
- AI Sales
- Prospecting
- Outreach Personalization
- Sales Enablement
- CRM
Tools You'll Learn
- Salesforce Einstein
- HubSpot AI
- Clay
- Apollo.io
- ChatGPT for sales
- Gong
Modules
- Introduction to AI in Sales
- AI-Powered Prospecting
- Personalized Outreach with AI
- AI for Proposals and Demos
- CRM and Pipeline Management with AI
- Sales Forecasting with AI
- Ethical AI in Sales
Track 08
AI Across Industry Verticals
This track shows how AI helps different kinds of businesses do their jobs better. You will explore many worlds: hospitals that heal people, banks that keep money safe, shops that sell things you love, factories that make products, hotels that welcome guests, and governments that serve citizens. Every lesson is about real work, so you will always see how AI fits into the job you do every day. From restaurants to oil rigs, there is a lesson for almost every workplace you can imagine.
-
Explores how AI is transforming healthcare delivery, clinical decision support, medical imaging, and administrative operations — with emphasis on ethics and safety.
What You'll Learn
- AI applications in clinical care, diagnostics, and decision support
- Machine learning in medical imaging and pathology
- AI for administrative efficiency in healthcare organizations
- Ethics, safety, and regulatory considerations for healthcare AI
Skills You'll Gain
- Healthcare AI
- Clinical Decision Support
- Medical Imaging
- Healthcare Ethics
- AI Regulation
Tools You'll Learn
- Healthcare AI platforms
- EHR integrations
- medical imaging AI tools
- clinical NLP tools
Modules
- Introduction to AI in Healthcare
- AI for Clinical Decision Support
- Medical Imaging and AI
- AI in Healthcare Operations
- NLP for Clinical Data
- Ethics and Regulation in Healthcare AI
- AI Implementation in Healthcare
-
Covers AI applications in banking and financial services including fraud detection, credit risk modeling, algorithmic trading, and customer personalization.
What You'll Learn
- Machine learning for fraud detection and prevention
- Credit risk scoring and alternative data approaches
- Customer personalization and robo-advisory applications
- AI regulatory compliance in financial environments
Skills You'll Gain
- Financial AI
- Fraud Detection
- Credit Risk
- Regulatory Compliance
- Financial NLP
Tools You'll Learn
- Python ML tools
- financial data APIs
- Bloomberg data tools
- regulatory AI frameworks
Modules
- AI Landscape in Financial Services
- Fraud Detection with Machine Learning
- Credit Risk Modeling
- Customer Personalization
- NLP for Financial Data
- Algorithmic Trading Basics
- AI Regulation in Finance
- Implementation and Governance
-
Explores how AI can be applied across the HR lifecycle — from recruitment and onboarding through performance management and workforce planning.
What You'll Learn
- AI-powered recruitment screening and candidate matching
- Onboarding automation and personalized learning paths
- Performance analytics and workforce planning with AI
- Bias, fairness, and legal considerations in HR AI
Skills You'll Gain
- HR AI
- Recruitment Technology
- Workforce Analytics
- Performance Management
- AI Ethics
Tools You'll Learn
- LinkedIn Recruiter AI
- HireVue
- Workday AI
- SAP SuccessFactors
- ATS platforms
Modules
- Introduction to AI in HR
- AI-Powered Recruitment
- Onboarding with AI
- Performance Management and Analytics
- Workforce Planning and People Analytics
- Fairness and Ethics in HR AI
- Implementation and Change Management
-
Covers AI tools and applications in legal practice — including contract review, legal research, due diligence automation, and compliance monitoring.
What You'll Learn
- AI for contract review, drafting, and risk flagging
- Legal research and case analysis with AI tools
- Due diligence automation and document classification
- Risk, liability, and ethics of AI in legal practice
Skills You'll Gain
- Legal AI
- Contract Review
- Legal Research
- Due Diligence
- Compliance Monitoring
Tools You'll Learn
- Harvey AI
- Lexis+ AI
- Thomson Reuters CoCounsel
- contract AI platforms
- DocuSign AI
Modules
- Introduction to AI in Legal Practice
- AI for Contract Review
- Legal Research with AI
- Due Diligence and Document Review
- Compliance Monitoring
- Risk and Liability in Legal AI
- Implementing AI in Legal Operations
-
Examines AI applications in manufacturing including predictive maintenance, quality control using computer vision, demand forecasting, and digital twins.
What You'll Learn
- AI-powered predictive maintenance to reduce equipment downtime
- Computer vision for automated quality inspection
- Demand forecasting and supply chain optimization with ML
- Digital twins and simulation for manufacturing improvement
Skills You'll Gain
- Manufacturing AI
- Predictive Maintenance
- Computer Vision QC
- Supply Chain Optimization
- Digital Twins
Tools You'll Learn
- Siemens AI
- GE Digital
- Azure AI for manufacturing
- Python ML tools
Modules
- Introduction to AI in Manufacturing
- Predictive Maintenance
- Quality Control with Computer Vision
- Demand Forecasting
- Supply Chain Optimization
- Digital Twins
- Implementation and ROI
-
Explores how AI and PropTech are reshaping property valuation, leasing, facility management, and real estate investment decision-making.
What You'll Learn
- AI-powered automated valuation models and market analytics
- Smart building management and predictive facility maintenance
- AI for tenant experience and leasing process automation
- Real estate investment analytics and deal screening with AI
Skills You'll Gain
- PropTech
- Property Valuation
- Real Estate AI
- Tenant Experience
- Investment Analytics
Tools You'll Learn
- CoStar
- PropTech platforms
- Matterport
- building management AI
- valuation model tools
Modules
- Introduction to AI in Real Estate
- AI-Powered Property Valuation
- Tenant Experience and Smart Buildings
- Leasing and Document Management with AI
- Real Estate Investment Analytics
- Predictive Maintenance for Facilities
- PropTech Implementation
-
Covers designing, deploying, and managing AI chatbots and virtual agents to transform customer service operations and improve the customer experience.
What You'll Learn
- Conversational AI design principles and intent mapping
- Building and deploying chatbots across digital channels
- Designing effective escalation paths and human handoff
- Measuring CX impact and continuously improving AI agents
Skills You'll Gain
- Conversational AI
- Chatbot Design
- Customer Experience
- AI Quality Management
- CX Analytics
Tools You'll Learn
- Dialogflow
- Amazon Lex
- Intercom AI
- Zendesk AI
- Salesforce Service Cloud Einstein
Modules
- Introduction to AI in Customer Service
- Conversational AI and Chatbot Fundamentals
- Designing AI Customer Journeys
- Building and Deploying Chatbots
- Escalation and Human Handoff
- Measuring Customer Experience
- Continuous Improvement
-
Explores AI applications in retail including product recommendations, demand forecasting, inventory management, and visual merchandising.
What You'll Learn
- AI-powered personalization and product recommendation engines
- Demand forecasting and inventory optimization with machine learning
- Visual AI for search, try-on, and merchandising decisions
- Customer analytics and loyalty program optimization
Skills You'll Gain
- Retail AI
- Personalization
- Demand Forecasting
- Inventory Optimization
- Customer Analytics
Tools You'll Learn
- Salesforce Commerce Cloud AI
- Shopify AI
- Google Cloud Retail AI
- retail analytics platforms
Modules
- Introduction to AI in Retail
- Customer Personalization and Recommendations
- Demand Forecasting
- Inventory and Supply Chain AI
- Visual Merchandising with AI
- Customer Analytics and Loyalty
- Implementation and ROI
-
Examines how governments and public agencies are deploying AI to improve citizen services, policy analysis, and operational efficiency — with accountability at the center.
What You'll Learn
- AI applications in citizen-facing services and e-government
- Using AI for policy analysis, simulation, and impact assessment
- Ethical AI and accountability in public sector deployment
- AI procurement, governance, and oversight for government
Skills You'll Gain
- Public Sector AI
- Citizen Services
- Policy Analytics
- AI Governance
- Procurement
Tools You'll Learn
- government AI platforms
- public data APIs
- policy analysis tools
- government cloud services
Modules
- Introduction to AI in Government
- AI for Citizen Services
- Public Data and Analytics
- Policy Analysis with AI
- Ethics and Accountability in Government AI
- AI Procurement and Governance
- Case Studies in Public Sector AI
-
Covers AI applications in construction and engineering — from BIM and design optimization to site safety monitoring and predictive project management.
What You'll Learn
- AI integration with BIM for design optimization and clash detection
- Computer vision for site safety monitoring and progress tracking
- Predictive scheduling, cost modeling, and risk analysis
- Structural analysis and generative design with AI tools
Skills You'll Gain
- Construction AI
- BIM
- Site Safety AI
- Project Analytics
- Predictive Scheduling
Tools You'll Learn
- Autodesk Construction Cloud
- Procore
- DroneDeploy
- structural analysis AI tools
Modules
- Introduction to AI in Construction
- BIM and Digital Design
- Computer Vision for Site Monitoring
- Safety Monitoring with AI
- Project Scheduling and Cost Prediction
- Structural Analysis and Design AI
- Implementation and ROI
-
Explores AI applications in hospitality and tourism — including dynamic pricing, guest personalization, AI concierge services, and operational efficiency.
What You'll Learn
- Revenue management and AI-driven dynamic pricing
- Personalization at scale for guest experiences
- Deploying AI chatbots and digital concierge services
- Tourism analytics for demand forecasting and marketing
Skills You'll Gain
- Hospitality AI
- Revenue Management
- Guest Personalization
- Tourism Analytics
- Chatbot Deployment
Tools You'll Learn
- Opera PMS with AI
- revenue management systems
- Booking.com AI tools
- chatbot platforms
Modules
- Introduction to AI in Hospitality
- Revenue Management and Dynamic Pricing
- Guest Personalization with AI
- Chatbots and Digital Concierge
- AI in Food and Beverage Operations
- Tourism Analytics
- Implementation and Staff Training
-
Examines AI applications in logistics networks and energy operations — from route optimization and fleet management to predictive maintenance in oil and gas.
What You'll Learn
- AI route optimization and fleet management for logistics
- Demand forecasting and inventory optimization in supply chains
- Predictive maintenance for energy assets and industrial equipment
- Safety monitoring, compliance, and operational analytics with AI
Skills You'll Gain
- Logistics AI
- Supply Chain Optimization
- Energy AI
- Predictive Maintenance
- Safety Analytics
Tools You'll Learn
- SAP AI
- Oracle Supply Chain AI
- OSIsoft PI
- energy management platforms
Modules
- Introduction to AI in Logistics
- Route Optimization and Fleet Management
- Demand Forecasting and Inventory
- AI in Energy Operations
- Predictive Maintenance for Energy Assets
- Safety and Compliance with AI
- Digital Transformation in Logistics and Energy
Track 09
Executive & Leadership Courses
This track is made for leaders - the people who make big decisions for their companies. You will learn how to create a smart plan for using AI, how to lead your whole company through big changes, and how to help your team feel excited instead of scared about new tools. You will also learn how to keep AI safe, fair, and legal, and how to explain it to your bosses at the board table. Great leaders learn here, then teach everyone else.
-
Executive briefing on framing AI investments, setting strategic priorities, building governance structures, and leading AI transformation at enterprise scale.
What You'll Learn
- How to build a compelling AI business case for the board
- Prioritizing AI investments across business functions
- Designing an enterprise AI operating model and governance structure
- Measuring AI ROI and leading the organizational change agenda
Skills You'll Gain
- AI Strategy
- Executive Leadership
- Investment Prioritization
- AI Governance
- Change Management
Tools You'll Learn
- AI readiness frameworks
- board reporting templates
- AI strategy canvases
Modules
- The AI Imperative for Business Leaders
- Identifying Strategic AI Opportunities
- Building the AI Business Case
- Enterprise AI Operating Model
- Governance and Risk for Executives
- Leading Organizational AI Adoption
- Measuring Success
-
Equips leaders with the frameworks and tools to design, sponsor, and sustain successful digital transformation initiatives across their organizations.
What You'll Learn
- How to define and communicate a digital transformation strategy
- Aligning technology investment to business outcomes
- Leading organizational change and building digital culture
- Measuring transformation progress and governance
Skills You'll Gain
- Digital Leadership
- Transformation Strategy
- Change Management
- Portfolio Management
- Stakeholder Engagement
Tools You'll Learn
- transformation roadmaps
- digital maturity assessment tools
- agile and OKR frameworks
Modules
- What is Digital Transformation?
- Strategic Planning for Transformation
- Building the Digital Business Case
- Technology Landscape for Leaders
- People and Change Management
- Digital Culture and Innovation
- Governance and Measurement
- Sustaining Transformation
-
Practical change management training focused on managing the people side of AI adoption — communication, training design, resistance, and culture change.
What You'll Learn
- Applying change management frameworks (ADKAR, Kotter) to AI rollouts
- Stakeholder analysis and tailored communication planning
- Building AI champions and peer-adoption networks
- Measuring adoption quality and sustaining long-term change
Skills You'll Gain
- Change Management
- Communication Planning
- Stakeholder Management
- Training Design
- Culture Change
Tools You'll Learn
- ADKAR framework
- Kotter's 8 steps
- change readiness assessments
- adoption tracking tools
Modules
- Introduction to AI Change Management
- Stakeholder Analysis
- Communication Strategy
- Building AI Champions
- Training and Capability Development
- Managing Resistance
- Measuring Adoption
- Sustaining Long-Term Change
-
Strategic program covering how to assess and build an organization's readiness for AI across data, technology, people, culture, and governance dimensions.
What You'll Learn
- Conducting an AI maturity assessment across key dimensions
- Building a data and technology foundation for AI
- Designing a talent and capability roadmap for AI readiness
- Governance design, culture strategy, and scaling AI at enterprise level
Skills You'll Gain
- Organizational Development
- AI Maturity
- Data Strategy
- Talent Planning
- AI Governance
Tools You'll Learn
- AI maturity frameworks
- data readiness assessments
- organizational design tools
Modules
- Assessing AI Readiness
- Data and Technology Foundation
- Talent and Skills Strategy
- AI Governance Design
- Culture and Change Strategy
- Building the AI Roadmap
- Operationalizing AI at Scale
-
Concise executive briefing equipping board members and non-executive directors with the governance knowledge needed to oversee AI initiatives responsibly.
What You'll Learn
- The board's accountability and oversight role for AI
- Key AI risks that boards must monitor: model, data, reputational, and regulatory
- Governance structures, accountability frameworks, and AI policies
- Navigating the global AI regulatory landscape
Skills You'll Gain
- AI Governance
- Board Oversight
- Risk Management
- Regulatory Awareness
- Strategic Inquiry
Tools You'll Learn
- AI governance frameworks
- board oversight checklists
- AI risk registers
Modules
- The Board's Role in AI
- Key AI Risks for Board-Level Oversight
- Governance Structures and Accountability
- The AI Regulatory Landscape
- Questions Every Board Should Ask
- Building Board AI Competence
Track 10
Emerging Tech & Future Skills
This track is a fun look at the amazing new technologies coming in the future. You will learn about quantum computers that solve giant puzzles, robots that can work with people, smart machines that talk to each other through the internet, and cool virtual worlds you can explore with goggles. You will also learn how to make new tech that is kind to the Earth. No one knows exactly what comes next, but these lessons make sure you will be ready.
-
Accessible, business-oriented introduction to quantum computing — what it is, when it will matter, and how to think about it strategically without a physics background.
What You'll Learn
- The principles of quantum computing in plain business language
- Where quantum computing outperforms classical computers
- Current state of the quantum ecosystem and timeline expectations
- Strategic implications and preparation priorities for organizations
Skills You'll Gain
- Quantum Literacy
- Strategic Technology Assessment
- Innovation Awareness
Tools You'll Learn
- IBM Quantum Experience (introductory)
- quantum computing simulators
Modules
- What is Quantum Computing?
- Quantum Bits and Principles
- Quantum vs. Classical Computing
- Quantum Applications and Use Cases
- The Quantum Ecosystem
- Strategic Implications for Business
-
Explores blockchain fundamentals and enterprise Web3 applications beyond cryptocurrency — supply chain transparency, smart contracts, and digital identity.
What You'll Learn
- Blockchain architecture, consensus mechanisms, and cryptography basics
- Smart contract design and deployment fundamentals
- Enterprise blockchain platforms and industry use cases
- Tokenization, digital assets, and regulatory considerations
Skills You'll Gain
- Blockchain
- Smart Contracts
- Web3
- Enterprise DLT
- Tokenization
Tools You'll Learn
- Ethereum
- Hyperledger
- Solidity basics
- MetaMask
- blockchain explorers
Modules
- Blockchain Fundamentals
- Consensus and Cryptography
- Smart Contracts
- Enterprise Blockchain Platforms
- Tokenization and Digital Assets
- Decentralized Applications
- Regulatory and Business Considerations
-
Practical overview of IoT architecture, connected device ecosystems, and enterprise applications in manufacturing, logistics, facilities, and smart buildings.
What You'll Learn
- IoT architecture layers: devices, connectivity, edge, and cloud
- Sensor data collection, protocols (MQTT, CoAP), and data pipelines
- Edge computing and how it reduces latency and bandwidth
- Enterprise IoT use cases and security considerations
Skills You'll Gain
- IoT
- Edge Computing
- Sensor Networks
- Industrial IoT
- IoT Security
Tools You'll Learn
- Arduino (conceptual)
- Raspberry Pi basics
- AWS IoT
- Azure IoT Hub
- MQTT
Modules
- Introduction to IoT
- IoT Architecture and Protocols
- Sensors and Data Collection
- Connectivity and Networking
- Edge Computing
- Enterprise IoT Applications
- IoT Security and Privacy
-
Introduction to robotics concepts — movement, sensing, and physical AI — and their business applications in manufacturing, logistics, and services.
What You'll Learn
- Robot kinematics, movement, and coordinate systems
- Sensing, perception, and environmental mapping
- Collaborative robot (cobot) design and safety standards
- Physical AI applications and the business case for robotics
Skills You'll Gain
- Robotics
- Physical AI
- Cobots
- Robot Programming
- Industrial Automation
Tools You'll Learn
- ROS (Robot Operating System) basics
- robot simulation environments
- cobot interfaces
Modules
- Introduction to Robotics
- Robot Movement and Kinematics
- Sensing and Perception
- Robot Programming
- Collaborative Robots in Industry
- Physical AI and Autonomous Systems
- Business Applications of Robotics
-
Explores augmented reality, virtual reality, and metaverse platforms for training, retail, design, collaboration, and customer experience use cases.
What You'll Learn
- The differences between AR, VR, MR, and spatial computing
- Current hardware and platform landscape for immersive technology
- Business use cases: employee training, retail, design, and remote collaboration
- Developing an immersive technology strategy for your organization
Skills You'll Gain
- AR/VR
- Immersive Technology
- Metaverse Strategy
- XR Applications
- Spatial Computing
Tools You'll Learn
- Meta Quest
- HoloLens
- Unity / Unreal basics
- Spatial
- Horizon Workrooms
Modules
- Introduction to Immersive Technologies
- AR, VR, and MR Compared
- Hardware and Platform Landscape
- Immersive Tech for Training
- Retail and Customer Experience with AR/VR
- Metaverse for Business Collaboration
- Developing an Immersive Tech Strategy
-
Examines the environmental impact of AI and technology, and how organizations can adopt more sustainable, energy-efficient practices in their digital operations.
What You'll Learn
- The energy footprint of AI model training and inference
- Green AI principles and energy-efficient model design
- Sustainable cloud computing choices and carbon-aware architectures
- Measuring, reporting, and reducing Scope 3 tech emissions
Skills You'll Gain
- Sustainable Technology
- Green AI
- Carbon Measurement
- ESG Reporting
- Circular Economy
Tools You'll Learn
- cloud carbon calculators
- energy monitoring tools
- ESG reporting frameworks
Modules
- The Environmental Impact of AI and Technology
- Green AI Principles
- Sustainable Cloud Computing
- Energy-Efficient AI Practices
- Circular Economy in Technology
- Measuring and Reporting Tech Emissions
- Building a Sustainable Technology Strategy