Foundations of Agentic AI: Mastering LangChain and LangGraph Workflows In Hindi Course

Module-1 Evolution of Agency From Chatbots to Autonomous Agents

Section-1 Evolution of Agency From Chatbots to Autonomous Agents

Module-2 LangChain Ecosystem Core, Community & Partner Packages

Section-2 LangChain Ecosystem Core, Community & Partner Packages

Module-3 Principles of Declarative Chains in LCEL

Section-3 Principles of Declarative Chains in LCEL

Module-4 Mastering Output Parsers Structuring LLM Responses

Section-4 Mastering Output Parsers Structuring LLM Responses

Module-5 Chat Models vs. LLMs Interface Differences & Configuration

Section-5 Chat Models vs. LLMs Interface Differences & Configuration

Module-6 Mastering Text Splitters Character & Semantic Chunking Logic

Section-6 Mastering Text Splitters Character & Semantic Chunking Logic

Module-7 Deep Dive into ChromaDB and FAISS Integration (1)

Section-7 Deep Dive into ChromaDB and FAISS Integration (1)

Module-8 Beyond Similarity Search Multi-Query & MMR Explained

Section-8 Beyond Similarity Search Multi-Query & MMR Explained

Module-9 Embedding Models Trade-offs, Fine-tuning, and Selection

Section-9 Embedding Models Trade-offs, Fine-tuning, and Selection

Module-10 Mastering The Runnable Protocol Standardizing Input Output Interfaces

Section-10 Mastering The Runnable Protocol Standardizing Input Output Interfaces

Module-11 Understanding ConversationBuffer & Window Memory in AI Agents

Section-11 Understanding ConversationBuffer & Window Memory in AI Agents

Module-12 Mastering Summary Memory & Token Management in AI Agents

Section-12 Mastering Summary Memory & Token Management in AI Agents

Module-13 Monitoring Agentic AI with Callbacks, Tracing & LangSmith

Section-13 Monitoring Agentic AI with Callbacks, Tracing & LangSmith

Module-14 Parent Document Retrieval Decoupling Embeddings from Context

Section-14 Parent Document Retrieval Decoupling Embeddings from Context

Module-15 Translating Natural Language to Metadata Filters Self-Querying Retrievers

Section-15 Translating Natural Language to Metadata Filters Self-Querying Retrievers

Module-16 Optimizing Token Usage in RAG with Contextual Compression

Section-16 Optimizing Token Usage in RAG with Contextual Compression

Module-17 Handling Tables, Images & Text with Multi-Vector Retrieval

Section-17 Handling Tables, Images & Text with Multi-Vector Retrieval

Module-18 Hybrid Search Combining Keyword (BM25) and Vector Search

Section-18 Hybrid Search Combining Keyword (BM25) and Vector Search

Module-19 Ensemble Retrievers Weighing Multiple Data Sources (1)

Section-19 Ensemble Retrievers Weighing Multiple Data Sources (1)

Module-20 Reranking Strategies Cohere & Cross-Encoders for Precision

Section-20 Reranking Strategies Cohere & Cross-Encoders for Precision

Module-21 Long-Context Optimization Handling Lost in the Middle Phenomenon

Section-21 Long-Context Optimization Handling Lost in the Middle Phenomenon

Module-22 Defining AI Tools @tool Decorators and Pydantic Schemas

Section-22 Defining AI Tools @tool Decorators and Pydantic Schemas

Module-23 LangChain Toolkits SQL, Gmail, Slack, and Shell Integration

Section-23 LangChain Toolkits SQL, Gmail, Slack, and Shell Integration

Module-24 Function Calling Native Tool-calling vs. Prompt-based Reasoning

Section-24 Function Calling Native Tool-calling vs. Prompt-based Reasoning

Module-25 Mastering ReAct (Reason + Act) Methodology in AI Agents

Section-25 Mastering ReAct (Reason + Act) Methodology in AI Agents

Module-26 Decoupling High-level Planning from Execution in AI Agents

Section-26 Decoupling High-level Planning from Execution in AI Agents

Module-27 Mastering Iterative Refinement in Self-Reflection Patterns

Section-27 Mastering Iterative Refinement in Self-Reflection Patterns

Module-28 Mastering Error Handling Tool Failures & Hallucinations in AI

Section-28 Mastering Error Handling Tool Failures & Hallucinations in AI

Module-29 Building Proprietary Reasoning Loops from Scratch

Section-29 Building Proprietary Reasoning Loops from Scratch

Module-30 The Graph Paradigm Nodes, Edges, and State in LangGraph

Section-30 The Graph Paradigm Nodes, Edges, and State in LangGraph

Module-31 StateGraph Fundamentals Defining and Initializing State

Section-31 StateGraph Fundamentals Defining and Initializing State

Module-32 Nodes & Functions Building Independent Logic Units

Section-32 Nodes & Functions Building Independent Logic Units

Module-33 LangGraph Edges & Logic Conditional Routing vs. Direct Transitions

Section-33 LangGraph Edges & Logic Conditional Routing vs. Direct Transitions

Module-34 Cycles in AI Why Loops are Critical for Reasoning

Section-34 Cycles in AI Why Loops are Critical for Reasoning

Module-35 Persistence & Checkpointing Saving Agent State Across Sessions

Section-35 Persistence & Checkpointing Saving Agent State Across Sessions

Module-36 Time Travel in AI Agents Debugging by Rewinding Graph History

Section-36 Time Travel in AI Agents Debugging by Rewinding Graph History

Module-37 Human-in-the-Loop (HITL) Interrupts and Manual Approval Nodes

Section-37 Human-in-the-Loop (HITL) Interrupts and Manual Approval Nodes

Module-38 Passing Runtime Arguments to Graphs in LangGraph

Section-38 Passing Runtime Arguments to Graphs in LangGraph

Module-39 Parallel Execution Fan-out and Fan-in (Map-Reduce) Patterns

Section-39 Parallel Execution Fan-out and Fan-in (Map-Reduce) Patterns

Module-40 Building Modular & Hierarchical Architectures using Subgraphs

Section-40 Building Modular & Hierarchical Architectures using Subgraphs

Module-41 Dynamic Breakpoints Pausing Graphs for External Validation

Section-41 Dynamic Breakpoints Pausing Graphs for External Validation

Module-42 Multi-Agent Architectures Orchestrator vs. Peer-to-Peer

Section-42 Multi-Agent Architectures Orchestrator vs. Peer-to-Peer

Module-43 Centralized Control via LangGraph The Supervisor Pattern

Section-43 Centralized Control via LangGraph The Supervisor Pattern

Module-44 Hierarchical Teams Dividing Complex Problems into Sub-tasks

Section-44 Hierarchical Teams Dividing Complex Problems into Sub-tasks

Module-45 Agent Communication Shared State vs Message Passing

Section-45 Agent Communication Shared State vs Message Passing

Module-46 Managing Divergent Agent Outputs in Conflict Resolution

Section-46 Managing Divergent Agent Outputs in Conflict Resolution

Module-47 Designing Agents that Recruit Other Agents Task Delegation

Section-47 Designing Agents that Recruit Other Agents Task Delegation

Module-48 State Scoping & Privacy in Multi-Agent Systems

Section-48 State Scoping & Privacy in Multi-Agent Systems

Module-49 Adaptive RAG Routing Between Retrieval and Generation

Section-49 Adaptive RAG Routing Between Retrieval and Generation

Module-50 Corrective RAG (CRAG) Self-Correction on Retrieved Documents

Section-50 Corrective RAG (CRAG) Self-Correction on Retrieved Documents

Module-51 Long-term Memory Implementing Graph-based Memories

Section-51 Long-term Memory Implementing Graph-based Memories

Module-52 Semantic Caching Reducing Latency and API Costs

Section-52 Semantic Caching Reducing Latency and API Costs

Module-53 Streaming Inputs & Outputs Real-time Token and State Updates in LangGraph

Section-53 Streaming Inputs & Outputs Real-time Token and State Updates in LangGraph

Module-54 Agentic Search Deep Research with Tavily and Search Tools

Section-54 Agentic Search Deep Research with Tavily and Search Tools

Module-55 Evaluation with LangSmith Creating Datasets and Backtesting

Section-55 Evaluation with LangSmith Creating Datasets and Backtesting

Module-56 LLM-as-a-Judge Automated Grading of Agent Performance

Section-56 LLM-as-a-Judge Automated Grading of Agent Performance

Module-57 Monitoring & Observability Detecting Drift and Tool Latency

Section-57 Monitoring & Observability Detecting Drift and Tool Latency

Module-58 Security & Guardrails Prompt Injection Defense with LangChain

Section-58 Security & Guardrails Prompt Injection Defense with LangChain

Module-59 MCP Standardizing Tool Integration for AI Agents

Section-59 MCP Standardizing Tool Integration for AI Agents

Module-60 LangGraph Cloud Deploying Graphs as Scalable APIs

Section-60 LangGraph Cloud Deploying Graphs as Scalable APIs

Module-61 Version Control for Agents Iterating on Prompts and Graphs

Section-61 Version Control for Agents Iterating on Prompts and Graphs

Module-62 Emerging Trends in Agentic AI Architecture Beyond Scaling

Section-62 Emerging Trends in Agentic AI Architecture Beyond Scaling

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Foundations of Agentic AI: Mastering LangChain and LangGraph Workflows In Hindi

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