Gen AI for Agentic AI

What students will learn in this course

• Understand how AI agents think, plan, and act autonomously
• Learn how AI agents break problems into steps and solve them intelligently
• Design effective system prompts for AI agents
• Build real multi-step AI workflows using tools like n8n or make.com
• Connect AI with real tools like Gmail, Google Calendar, and Telegram
• Understand memory systems and reduce hallucinations
• Explore browser automation and real-world task execution
• Build multi-agent systems that collaborate and complete tasks
• Create a complete AI agent project from idea to deployment

Course Sessions

Projects students build

Information Processing

AI Research Assistant Agent

Students build an intelligent agent that researches any topic, filters useful information, and generates a clear, structured report automatically.

Communication Intelligence

Email Analyzer Agent

Students create an AI agent that reads incoming emails, identifies important messages, summarizes content, and suggests or generates appropriate replies.

Web Interaction

Browser Task Agent

Students build an agent that navigates websites, extracts relevant data, and completes tasks like searching, comparing, and collecting information.

Knowledge Systems

AI Knowledge Assistant (RAG System)

Students build an agent that answers questions using custom data sources, enabling more accurate and context-aware responses using RAG.

Content Generation

Content Creation Agent

Students create an AI agent that generates structured content such as summaries, blogs, or reports based on given inputs and instructions.

Autonomous Execution

AI Task Execution Agent

Students build an agent that takes a goal, breaks it into steps, and executes actions like researching, organizing information, and delivering final outputs.