2025 Master LangGraph and LangChain with Ollama- Agentic RAG

Dive deep into the world of AI development with this advanced course on LangGraph, Ollama, and Retrieval-Augmented Generation (RAG). It is a comprehensive course designed for beginners and professionals alike - allowing you to build chatbots, manage LLMs locally, and have powerful database query capabilities added to your projects.

Step-by-step guidance will take you through topics such as:
Setting up and benchmarking local LLMs using Ollama.
Building state-of-the-art chatbots using LangGraph and LangChain.
Advanced type hinting, data validation, and OOPs principles for clean and efficient coding.
Designing intelligent agents for MySQL queries and RAG workflows.
Unlock your potential and learn how to create dynamic, memory-enabled chatbots, work with private datasets, and master graph-based programming for AI applications.
Ollama Setup for Local LLM
Learn how to install and configure Ollama to work with local LLMs. Discover available models, run benchmarks, and use powerful Ollama commands to manage and interact with AI models efficiently.
Getting Started with LangChain
Discover LangChain and its capabilities for integrating LLMs into applications. From installation to API calls, this section provides foundational knowledge to leverage LangChain for building intelligent systems.
LangGraph Basics
Get to know LangGraph - the state-machine-inspired tool for AI system design. Learn how to work with its Graph and ToolNode modules for creating interactive chatbots with graph-based programming for better functionality.
Type Hinting and Data Validation for LangGraph
Understand the importance of type hinting, data validation, and OOP principles in AI development. Learn how to work with the tools TypedDict and Pydantic to write clean, efficient, and reliable code for your projects.
Graph Definitions in LangGraph
Dive into graph definitions in LangGraph to build complex systems. Discover how these definitions bring clarity and structure to your AI workflows.
Chatbot Development with LangGraph and Ollama
Use the might of LangGraph and Ollama to construct feature-rich chatbots. Set up tool nodes, design robust architectures for your system, and attach memory for more interactive and intelligent user conversations.
Learn how to use LLMs with MySQL to execute queries in a seamless way. Develop agents that create and execute database queries, connect the results to AI systems, and develop intelligent database-driven workflows.
Agentic RAG with Private Datasets
Master retrieval-augmented generation on private datasets: learn how to prepare datasets, compute embeddings and store them within vector databases and deploy retrieval-augmented generation agents capable of doing end-to-end processing directly from retrieved data in real time.