Course Curriculum
A structured approach to Professional Program In Agentic Ai
Module 1 – Foundations of Agentic AI - Standard AI vs Agentic AI
Core Components: LLMs
memory
planning
tools
Case Studies: Jarvis
AutoGPT
BabyAGI
Devin AI
Hands-on: Setup Python
VS Code
OpenAI API
LangChain
Module 2 – LLMs as Brains - Prompt Engineering for Autonomy
Multi-step Reasoning & Tool Usage
Using LangChain & LlamaIndex
Hands-on: Build an Autonomous Q&A Assistant
Module 3 – Memory & Planning - Short-term vs Long-term Memory
Vector Databases: Pinecone
FAISS
ChromaDB
Planning Frameworks: ReAct
AutoGPT-style loops
Hands-on: Agent with Persistent Chat Memory
Module 4 – Connecting the Outside World - API Integrations (Google
Zapier
CRMs
Notion)
Web Scraping & Data Pipelines
Hands-on: Email Reader & Task Summarizer Agent
Module 5 – Multi-Agent Systems - Agent Collaboration & Role-based Agents
Task Delegation Between Agents
Hands-on: Two Agents Negotiating & Completing a Task
Module 6 – Real-World Deployment - Deploying Agents as Web Apps (Streamlit
Gradio)
Hosting on Cloud (Render
AWS
Hugging Face)
Hands-on: Deploy a Personal Research Assistant
Module 7 – Advanced Agent Capabilities - Tool-Building for Agents (Custom APIs & Functions)
Connecting Agents to IoT & Automation Tools
Hands-on: AI Agent that Manages Schedules & Books Meetings
Module 8 – Monetization & Final Project - Freelancing Opportunities with Agentic AI
Selling AI Automations to Startups & SMEs
Capstone Project: Build a Fully Autonomous Agent
Final Pitch & Demo Day
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