Intermediate Level

Agentic AI with Lang Chain and Lang Graph

★ 4.8 (300 learners) 60 hrs total 12 modules 2 capstones

Amazon Bedrock LangChain LangGraph CrewAI AutoGen OpenAI +1 more

Only 7 seats left · Next batch starts 15 Aug 2026

Download Curriculum

60 hrs: of content
12 modules: in curriculum
18 projects: hands-on builds
Intermediate: difficulty

Curriculum covers

Frameworks you'll master

7 tools & frameworks

Amazon Bedrock LangChain LangGraph CrewAI AutoGen OpenAI ChatGPT

Course Curriculum

12 modules · 60 hours · 24 live sessions

Generative AI Basics 2 sessions

What is Generative AI and how it differs from traditional AI
Overview of foundation models and large language models
Use cases: text, image, code, and multimodal generation
Introduction to OpenAI, Anthropic, Google and open-source models
Hands-on: Calling GPT-4 via API and exploring responses

LLM Introduction & Basics 2 sessions

How LLMs work: transformers, attention, and pre-training
Tokens, context windows and temperature settings
Prompt design fundamentals — zero-shot, few-shot, chain-of-thought
Model selection: GPT-4o vs Claude vs Gemini vs open-source
LLM limitations: hallucinations, knowledge cutoff, reasoning gaps

LangChain Introduction & Setup 2 sessions

What is LangChain and why it matters for agentic apps
Installing LangChain and configuring API keys
LangChain components: Models, Prompts, Chains, Memory, Tools
First LangChain application — chaining a simple prompt
GIST of LangChain Application architecture

Chains — Basic to Advanced 2 sessions

LLMChain, SequentialChain and RouterChain
Building reusable chain templates with PromptTemplate
Chaining multiple LLM calls with output parsers
LangChain Expression Language (LCEL) for composing chains
Streaming responses with LCEL

Callbacks (Function Calling) 1 sessions

AsyncIteratorCallbackHandler
AsyncFinalIteratorCallbackHandler
FinalStreamingStdOutCallbackHandler
LoggingCallbackHandler
Building custom callbacks for monitoring and debugging

Memory 1 sessions

ConversationBufferMemory and ConversationSummaryMemory
ConversationBufferWindowMemory for long chats
Entity memory and Knowledge Graph memory
Persisting memory with Redis or databases
LangChain Memory Module Concept in-depth

Retrieval Augmented Generation (RAG) 3 sessions

What is RAG and why it outperforms fine-tuning for private data
Embeddings, vector representations and similarity search
Vector databases: Pinecone, Chroma, FAISS, Weaviate
Building a Chat-with-PDF app end-to-end
Building a Documentation Assistant (Embeddings + RetreivalQA + Memory)
Advanced RAG: re-ranking, hybrid search and chunking strategies

Agents 2 sessions

What are AI Agents — Planning, Tools and Actions
LangChain Agent types: ReAct, OpenAI Functions, Structured Chat
Defining custom tools and connecting agents to real APIs
Agent memory and multi-step reasoning loops
ICE Breaker Real-World Generative AI Application
Building a slim ChatGPT Code Interpreter with Advanced Agents

Indexing API 1 sessions

LangChain Indexing API for document management
Avoiding duplicate content in vector stores
Incremental indexing and delta updates
Combining the Indexing API with RAG pipelines
LangChain Data Connection Module concepts

LangSmith 1 sessions

Introduction to LangSmith for observability and debugging
Tracing LLM calls, chains and agent runs
Evaluating LLM outputs with LangSmith datasets
Setting up feedback loops and human-in-the-loop review
Using LangSmith in production monitoring

LangGraph & Agentic Orchestration 3 sessions

LangGraph: stateful, cyclical agent graphs
Building multi-agent collaboration workflows with LangGraph
AI Agent Planning Capability Demo
AI Agents — Guardrails and Communication
Agentic AI Design Patterns: Reflection, Tool, Planning, Multi-Agent
Top frameworks for AGENTIC AI Workflows

Multi-Agent Frameworks 3 sessions

AutoGen — multi-agent conversation framework by Microsoft
CrewAI — role-based low-code agent collaboration
AutoGPT — autonomous goal-oriented agent
IBM BEE Agent Framework
N8N Workflow — no-code agentic automation
Amazon Bedrock Multi-Agent Framework

Download Full Curriculum

Hands-on learning

What you'll build

2 industry capstone projects · built from scratch · yours to keep

Intelligent Documentation Generator

Build an end-to-end AI agent that auto-generates product manuals, release notes, and FAQs from raw technical content — with version management, multi-format publishing, and semantic search.

LangChain OpenAI GPT-4 Chroma FastAPI LangSmith

Legal Contract Review & Analysis System

A multi-agent system that scans contracts for risks, summarises case law, drafts legal templates, validates regulatory compliance, and maintains a searchable legal knowledge base.

LangGraph CrewAI OpenAI Pinecone LangSmith

Plus 16 guided mini-projects across the curriculum — Q&A bots, resume screeners, SQL helpers, and more.

Batch Schedule

⚡ Seats filling fast — only 7 remaining across all batches

Available Batches
Batch Type	Schedule	Duration	Next Start Date	Availability
Weekend	Sat & Sun, 10am–1pm	10 weeks	15 Aug 2026	Available
Weekday	Mon–Fri, 7–9pm	8 weeks	17 Aug 2026	Available
Fast-track	Mon–Sun, 6 hours/day	2 weeks	24 Aug 2026	Available

Ready to Get Started?