Description
Agentic AI – Private Agentic RAG with LangGraph and Ollama is a course on how to build private and secure Agentic AI workflows using LangGraph and Ollama published by Udemy Online Academy. This course introduces learners to the next generation of AI systems by teaching them how to build private and secure Agentic AI workflows using LangGraph and Ollama. The course focuses on building AI agents that can reason, take action, and retrieve knowledge from their data using RAG (Recovery-Augmented Generation). The course guides you through setting up local LLMs with Ollama, designing agent workflows with LangGraph, connecting tools and memory, and deploying fully private AI assistants that run on your device without sending data to the cloud.
This is a practical and actionable guide for anyone interested in AI automation, data privacy, and building advanced AI agents. This course is designed for developers who want strong control over their data, complete privacy, and end-to-end workflows using local LLMs. You will learn how to build modern RAG systems, implement advanced retrieval pipelines, add agent workflows, use LangGraph state machines, integrate SQL agents, and run everything on your device using Ollama. The entire course is hands-on. Each concept is explained with step-by-step workbooks, full Python code, and real-world examples using SEC financial filings from Amazon, Google, Apple, and Microsoft.
What you will learn in Agentic AI – Private Agentic RAG with LangGraph and Ollama:
- Build private, production-ready RAG Agentic systems using LangGraph v1 and Ollama.
- Build custom LLM workflows with LangGraph state machines, nodes, edges, and conditional routing.
- Implement PageRAG, metadata extraction, PDF processing with Docling, and page-level fetching.
- Use ChromaDB, embeddings, metadata filtering, and MMR retrieval for high-precision searching.
- Apply BM25+ re-scoring and advanced retrieval pipelines for financial document analysis.
- Build RAG Agentic: tool calls, reasoning loops, structured outputs, and multi-stage workflows.
- Implement Remedial RAG (CRAG) with document grading, query rewriting, and web search substitution.
- Build custom Ollama models, model files, embeddings, and integrate with LangChain. Build Reflexion, Self-RAG, and Adaptive RAG with MySQL Agent
- And…
Course specifications
Publisher: Udemy
Instructors: KGP Talkie | Laxmi Kant
Language: English
Level: Introductory to Advanced
Number of Lessons: 143
Duration: 15 hours and 30 minutes
Course topics
Agentic AI – Private Agentic RAG with LangGraph and Ollama Prerequisites
Basic Python knowledge is helpful, but all steps are explained clearly for beginners.
Pictures
Agentic AI – Private Agentic RAG with LangGraph and Ollama introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 720p
Changes:
Version 2025/11 compared to 2025/10 has increased by 126 lessons and 14 hours and 39 minutes in duration. English subtitles were also added to the course.
Download link
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
Size
7.47 GB
