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Agentic RAG and Chatbot, AI Agent, LLAMA 3.2 Agent, FAISS Vector Database, LLM RAG, LangGraph Graph RAG, Ollama RAG
Updated on Sep, 2026
Programming, Data Science, LangChain
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Dive deep into the world of AI development with this advanced course on LangGraph, Ollama, and Retrieval-Augmented Generation (RAG). This comprehensive course is designed for beginners and professionals alike, enabling you to build chatbots, manage LLMs locally, and add powerful database query capabilities to your projects.
Step-by-step guidance will take you through:
Setting up and benchmarking local LLMs using Ollama.
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.
Get to know LangGraph — the state-machine-inspired tool for AI system design. Learn how to work with its Graph and ToolNode modules to create interactive chatbots using graph-based programming for better functionality.
Understand the importance of type hinting, data validation, and OOP principles in AI development. Learn how to work with TypedDict and Pydantic to write clean, efficient, and reliable code for your projects.
Dive into graph definitions in LangGraph to build complex systems and bring clarity and structure to your AI workflows.
Use the might of LangGraph and Ollama to construct feature-rich chatbots. Set up tool nodes, design robust architectures, 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 build intelligent database-driven workflows.
Master retrieval-augmented generation on private datasets. Learn how to prepare datasets, compute embeddings, store them within vector databases, and deploy retrieval-augmented generation agents capable of end-to-end processing directly from retrieved data in real time.
Unlock your potential and learn how to create dynamic, memory-enabled chatbots, work with private datasets, and master graph-based programming for AI applications.
Course Prerequisites
Before enrolling in this course, it is recommended that participants have:
Basic Python Knowledge
Understanding of APIs
Foundational AI Concepts
Experience with Databases
Command Line Proficiency
Optional but Beneficial:
Check out the detailed breakdown of what’s inside the course
I am AVP, Data Science at Join Ventures, and have been Ph.D. Scholar at the Indian Institute of Technology (IIT), Kharagpur. I also co-founded a company, mBreath Technologies. I have 8+ years of experience in data science, team management, business development, and customer profiling. I have worked with startups and MNCs. You can join me at my YouTube channel KGPTalkie.
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