Complete Agentic AI Bootcamp With LangGraph and Langchain
183 lectures45h 42m totalSubtitles & transcript search26 sections
Full lifetime access · picks up where you left off
Curriculum
26 sections · 183 lectures
01Introduction To the Course1 · 2m
02Installation Of Anaconda And VS Code IDE3 · 28m
- Installation Of Anaconda And VS Code Editor11:35
- Creating Virtual Environments Using Conda5:59
- Creating Virtual Environments Using UV Package Manager10:49
03Python Prerequisites40 · 11h 41m
- Getting Started With VS Code10:37
- Python Basics- Syntax And Semantics20:18
- Variables In Python18:55
- Basic Datatypes In Python9:53
- Operators In Python16:17
- Conditional Statements(if,elif,else)21:03
- Loops In Python28:03
- List And List Comprehension In Python37:08
- Practical Exmaples Of List9:51
- Sets In Python21:05
- Dictionaries In Python38:19
- Tuples In Python22:35
- Getting Started With Functions24:22
- More Coding Examples With Functions28:03
- Python Lambda Funbction9:45
- Maps Functions Python11:09
- Filter Function In Python9:01
- Import Modules And Package In Python17:07
- Standard Library Overview17:44
- File Operation In Python17:08
- Working With File Paths8:44
- Exception Handling25:00
- Classes And Objects In Python22:56
- Inheritance In OOPS19:01
- Polymorphism In OOPS19:09
- Encapsulations In OOPS22:12
- Abstraction In OOPS9:09
- Magic Methods In Python8:04
- Operative Overloading In Python8:32
- Custom Exception Handling7:06
- Iterators In Python6:26
- Generators In Python11:07
- Fucntion Copy.Closures and Decorators21:15
- Numpy In Python28:17
- Pandas-DataFrame And Series29:10
- Data Manipulation With Pandas And Numpy24:39
- Reading Data From Various Data Source Using Pandas15:05
- Logging Practical Implementation In Python14:38
- Logging With Multiple Loggers4:40
- Logging With A Real World Examples7:44
04Getting Started With Pydantic In Python2 · 36m
- Introduction To Pydantic14:08
- Pydantic Practical Implementation21:43
05Langchain Hands On13 · 2h 40m
- Getting Started With Langchain And Open AI12:02
- Creating Virtual Environment7:12
- Important Components Of LangChain13:10
- Data Ingestion With Documents Loaders22:44
- Recursive Character Text Splitter12:57
- Character Text Splitter With Langchain3:53
- HTML Header Text Splitter7:01
- Recursive Json Text Splitter6:49
- Introduction To OPENAI Embeddings22:21
- Ollama Embeddings15:44
- HuggingFace Embeddings10:21
- Vector Stores-FAISS16:34
- Vector Store And Retriever- Chroma DB9:33
06Getting Started With OpenAI And Ollama6 · 1h 24m
- Building Important Components Of Langchain21:46
- Building GENAI Apps17:38
- Understanding Retrievers And Chains21:00
- Introduction To Ollama And Set Up7:24
- Simple GenAI App Using Ollama12:57
- Tracking GENAI App Using Langsmith2:53
07Building Basic LLM Application Using LCEL3 · 49m
- Getting Started With Open Source Models Uing Groq API16:29
- Building LLM Prompt And StrOutput Parser Chain With LCEL14:36
- Deploy Langserve Runnable And Chains As API17:38
08Building AI agents With Conversation History Using Langchain4 · 1h 16m
- Building Chatbot With Message History Using Langchain23:12
- Working With Prompt Template And Message ChatHistory Using LAngchain13:48
- Managing the Chat Conversation History Using Langchain12:26
- Working With VectorStore And Retriever26:32
09AI Agents Vs Agentic AI2 · 30m
- What is Ai Agent Vs Agentic AI18:25
- Some More Examples11:44
10Updated Langchain Version V112 · 2h 31m
- Langchain Updates V13:52
- Creating Virtual Environment Using UV Package11:59
- Creating Agents Using Langchain18:28
- Langchain LLM Model Integration12:11
- Invoke And Batch Streaming Using Langchain7:33
- Tools In Langchain9:13
- Messages Types In Langchain16:08
- LLM structured Output Using Pydantic16:28
- LLM structured Output Using TypeDict6:10
- LLM structured Output Using DataClass6:38
- Middleware Summarization27:40
- Human In The Loop MiddleWare14:53
11Getting Started With LangGraph8 · 1h 56m
- Introduction To LangGraph19:44
- Getting Started LangGraph Application- Creating The Environment11:45
- Setting Up OpenAI API Key7:03
- Setting Up GROQ API KEY5:46
- Setting Up LangSmith API Key6:24
- Developing A Simple Graph or Workflow Using LangGraph- Building Nodes And Edges21:50
- Building Simple Graph StateGraph And Graph Compiling11:27
- Developing LLM Powered Simple Chatbot Using LangGraph31:44
12LangGraph Components13 · 3h 19m
- State Schema With DataClasses23:35
- Pydantic9:06
- Chain In LangGraph19:59
- Routers In LangGraph9:19
- Tools And ToolNode With Chain Integration- Part 128:48
- Tools And Tool Node With Chain Integration-Part 28:02
- Building Chatbot With Multiple Tools Integration- Part 123:39
- Building Chatbot With Multiple Tools Integration-Part 29:02
- Introduction To Agents And ReAct Agent Architecture In LangGraph15:03
- ReAct Agent Architecture Implementation12:53
- Agent With Memory In LangGraph17:54
- Streaming In LangGraph16:44
- Streaming using astream events Using Langgraph5:05
13Debugging LangGraph Application With LangSmith1 · 21m
- LangGraph Studio20:40
14Different Workflows In LangGraph7 · 1h 28m
- Prompt Chaining5:29
- Prompt Chaining Implementation With Langgraph15:51
- Parallelization8:48
- Routing22:13
- Orchestrator-Worker6:36
- Orchestrator Worker Implementation16:48
- Evaluator-optimizer12:01
15Human In The Loop In LangGraph4 · 52m
- Human In The Loop With LangGraph Workflows21:50
- Human In the Loop Continuation12:26
- Editing Human Feedback In Workflow6:52
- Runtime Human Feedback In Workflow10:23
16RAG With LangGraph7 · 1h 43m
- Agentic RAG Theoretical Understanding13:02
- Agentic RAG Implementation- Part 122:42
- Agentic RAG Implementation-Part 217:19
- Corrective RAG Theoretical Understanding7:14
- Corrective RAG Practical Implementation13:55
- Adaptive RAG Theoretical Understanding11:55
- Adaptive RAG Implementation17:02
17Vectorless RAG2 · 51m
- Vectorless RAG With PAgeIndex Tutorials29:18
- Traditional Vs Vectorless RAG21:43
18Guardrails1 · 38m
- Guardrails With Langchain38:14
19LLM Gateways1 · 43m
- LLM Gateways Understanding And Implementation42:56
20End To End Agentic AI Projects With LangGraph10 · 1h 51m
- Introduction And Overview3:56
- Project Set Up With VS Code7:14
- Setting up The Github Repository7:44
- Setting Up The Project Structure14:23
- Designing The Front End Using streamlit27:01
- Implementing The LLM Module In Graph Builder9:15
- Implementing The Graph Builder Module13:11
- Implementing The Node Implementation6:33
- Integrating the Entire Pipeline With Front End13:25
- Testing The End To End Agentic Application8:25
21End To End Agentic Chatbot With Web Search Functionality4 · 42m
- Introduction To The Project5:38
- Implementing The Front End With Streamlit7:04
- Implementing GraphBuilder and Search Tools Pipeline13:45
- Implementing Node Functionality With End To End Agentic Pipeline15:15
22AI News Summarizer End To End Agentic AI Projects7 · 50m
- Project Introduction8:11
- Building the Front End With Streamlit7:33
- Building The AI News State Graph Builder6:15
- Tavily Client Search Fetch News Node Implementation7:11
- AI News Summarize Node Functionality Implementation3:08
- Save Results Node Functionality Implementation7:11
- Running The Entire AINEWS Agentic Workflow10:47
23End To End Blog Generation Agentic AI App10 · 1h 48m
- Introduction And Project Demo7:41
- Building Project Structure Using UV Package7:04
- Blog Generation Grpah Builder And State Implementation15:59
- Blog Generation Node Implementation Definition12:23
- Creating Blog Generating API Using FAST API17:30
- Integrating Langgraph Studion For Debugging14:16
- Blog Generation And Translation With Language2:45
- Building Blog Generation And Translation Graph Builder10:18
- Blog Generation And Translation Node Implementation15:56
- Testing In Postman And Langgraph Studio3:39
24Model Context Protocol7 · 1h 51m
- Introduction To Model Context Protocol17:26
- Important Components Of MCP7:08
- Communication Between Components Of MCP8:34
- Demo Of MCP With Claude Desktop20:02
- Cursor IDE Installation6:26
- Getting Started With Smithery AI16:16
- Building MCP Servers With Tools And Client From Scratch Using Langchain34:45
25Claude Code7 · 2h 11m
- Introduction To Claude Ecosystem20:11
- Claude Code Worrking And Setup32:53
- Claude Code Agents18:03
- Agent Views In Claude Code9:51
- Agent Teams With Claude Code14:26
- Hooks In Claude Code14:26
- Skills And Plugins In Claude Code21:14
26Building Deep Agents With Langchain8 · 2h 42m
- Introduction To Deep Agents And Basics Implementation44:12
- Deep Agents Customization1:45
- Introduction To Backends In Deep Agents19:34
- Deep Agents Vs Claude SDK13:34
- Introduction To Context Engineering And Its Types34:12
- Using Skills For Context Engineering24:30
- Sub Agents In Deep Agents16:42
- Implementating Project With All Features7:48