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🤖 Artificial Intelligence

Agentic AI

Step into the frontier of AI development. Learn to design, build and orchestrate autonomous AI agents that can reason, plan, use tools and collaborate — using LangChain, LangGraph, AutoGen and production deployment patterns.

⏱ 8 Weeks 📶 Intermediate 🌐 Online & Offline 🛠 Project-Based 📜 Certificate
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Course Fee
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Flexible payment options available
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✔ 8 Weeks of Live Instruction
✔ Build 3+ Agent Projects
✔ Recorded Session Access
✔ Doubt Clearing Sessions
✔ Completion Certificate
✔ Online & Offline Batch Options
Curriculum Overview

What You'll Learn

A hands-on journey into autonomous AI systems — from LLM fundamentals to deploying production agents.

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Introduction to AI Agents — concepts, architectures & use cases
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LLM Fundamentals — prompting, tokens, temperature & context
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Tool Calling & Function Calling with OpenAI & Anthropic APIs
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LangChain — Chains, Agents, Tools & Memory
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LangGraph — State Machine-based Agent Workflows
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AutoGen — Multi-agent Conversation Frameworks
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Memory & Context Management — Short & Long-term
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Multi-Agent Orchestration & Communication Patterns
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Building Custom Tools — APIs, Databases, Web Scraping
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Agent Evaluation & Observability with LangSmith
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Deploying Agents — FastAPI, Docker & Cloud Basics
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Capstone: Build an Autonomous Research Agent
Week by Week

Course Curriculum

MODULE 01 LLM & Agent Foundations
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What are AI Agents? ReAct, Plan-and-Execute patterns
LLM APIs — OpenAI, Anthropic, Google Gemini setup
Prompt Engineering for Agent Control
Structured Outputs & JSON Mode
Python tooling — venv, dotenv, logging
MODULE 02 LangChain Deep Dive
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LangChain Architecture — Chains, Runnables, LCEL
LangChain Agents — ReAct & Tool-Calling agents
Creating Custom Tools (web search, calculators, APIs)
Memory Types — ConversationBuffer, Summary, Entity
Building a CLI Chatbot with Tool Calling
MODULE 03 LangGraph & State Machines
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LangGraph — Nodes, Edges & State
Conditional Routing in Agent Graphs
Human-in-the-loop Agent Patterns
Parallel Node Execution
Project: Multi-step Research & Summarisation Agent
MODULE 04 Multi-Agent Systems
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AutoGen — AssistantAgent, UserProxy, GroupChat
Role-based Agent Teams & Supervisor Patterns
Agent Communication Protocols
Building a Code Review Multi-Agent Pipeline
Evaluation with LangSmith & Tracing
MODULE 05 Deployment & Capstone
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Wrapping Agents in FastAPI endpoints
Dockerising Agent Applications
Rate Limiting, Cost Tracking & Safety Guardrails
Cloud Deployment Overview — Render / Railway / GCP
Capstone: Autonomous Research Agent (end-to-end)

Ready to Build AI Agents?

This is the skill set the next decade of AI will be built on. Enrol now.

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