Generative AI and Automation

What you’ll learn

• Understand Generative AI and how modern AI models work
• Work effectively with large language models
• Master practical prompt engineering
• Generate and transform text, images, and other content with AI
• Use AI for research, analysis, and productivity
• Understand APIs and how AI tools communicate with other applications
• Connect AI to external tools and services
• Build automated workflows
• Automate repetitive business and personal tasks
• Process and transform information automatically
• Work with structured and unstructured data
• Build AI-powered assistants and workflows
• Understand AI agents and agentic workflows
• Add human approval and control to automations
• Monitor, debug, and improve automated workflows
• Understand AI security, privacy, and responsible use
• Build real-world AI automation projects

1. 01Module 1 — Welcome to the AI Automation Era

   Discover how Generative AI and automation are changing the way people work. Learn the difference between using AI manually and building systems that work automatically.

2. 02Module 2 — Understanding Generative AI

   Explore how modern AI models generate text, images, code, and other content. Understand their capabilities, limitations, context windows, and common failure modes.

3. 03Module 3 — Prompt Engineering

   Learn how to write effective prompts, provide context, structure instructions, define outputs, and iterate toward reliable results.

4. 04Module 4 — AI for Everyday Productivity

   Discover practical ways to use AI for research, writing, summarization, analysis, brainstorming, document processing, and repetitive knowledge work.

5. 05Module 5 — From Prompt to Workflow

   Move beyond individual AI conversations and learn how to design repeatable workflows where multiple steps are executed automatically.

6. 06Module 6 — APIs: Connecting the Pieces

   Understand what APIs are and how applications communicate. Learn the fundamentals of sending data, receiving responses, handling authentication, and connecting AI models to other services.

7. 07Module 7 — No-Code & Low-Code Automation

   Build useful automations using visual workflow tools. Learn triggers, actions, conditions, data transformations, integrations, and scheduled workflows.

8. 08Module 8 — AI-Powered Automation

   Combine AI with automation to create workflows that can classify information, extract data, generate content, make decisions, and trigger actions based on AI outputs.

9. 09Module 9 — Working with Data & Documents

   Learn how to automate the processing of emails, documents, spreadsheets, forms, and other sources of information using AI-powered workflows.

10. 10Module 10 — Building AI Assistants

    Create practical AI assistants that can answer questions, process information, interact with tools, and perform defined tasks within controlled workflows.

11. 11Module 11 — AI Agents & Agentic Workflows

    Explore the concept of AI agents and learn how systems can use tools, reason through tasks, and execute multi-step workflows while maintaining appropriate human oversight.

12. 12Module 12 — Reliability, Security & Human Control

    Learn how to make automations safer and more reliable. Explore validation, permissions, privacy, error handling, human approval, monitoring, and protection against unreliable AI outputs.

13. 13Module 13 — Debugging & Optimizing Automations

    Learn how to troubleshoot failed workflows, identify bottlenecks, improve prompts, handle unexpected outputs, and make automations more robust.

14. 14Module 14 — AI Automation for Business

    Explore practical use cases across marketing, sales, customer support, operations, HR, research, finance, and content creation.

15. 15Module 15 — Build Your AI Automation System

    Bring everything together by designing and building a complete AI-powered automation. Identify a real problem, map the workflow, connect the required tools, implement AI, test the system, and measure its impact.