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Udemy – LangChain – Develop Controlled AI Agent with LangChain & RAG 2025-11

Updated August 10, 2026 1.7 GB
Udemy – LangChain – Develop Controlled AI Agent with LangChain & RAG 2025-11

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Description

LangChain – Develop Controlled AI Agent with LangChain & RAG is a course on how to design and build controlled and reliable AI agents using LangChain and Retrieval-Augmented Generation (RAG) published by Udemy Online Academy. This course teaches you how to design and build controlled and reliable AI agents using LangChain and Retrieval-Augmented Generation (RAG). The course focuses on creating AI systems that can reason, retrieve accurate information from custom knowledge sources, and act within defined boundaries. Learners will gain hands-on experience in setting up instructions, tools, memory, and data retrieval pipelines to develop intelligent agents suitable for real-world applications such as chatbots, assistants, and enterprise AI systems.

Learn how to design, build, and deploy controlled commercial AI agents using LangChain, RAG (Recovery-Augmented Generation), OpenAI LLM, and a production-ready backend with FastAPI. This course focuses on how real AI agent systems are structured in modern products and startups. You will learn how to combine agents, chains, instructions, schemas, and vector databases to create AI systems that can reason, plan, retrieve knowledge, and validate outputs in a controlled and reliable manner.

What you will learn in LangChain – Develop Controlled AI Agent with LangChain & RAG:

  • Design and build a business AI agent from scratch
  • Use schemas to execute structured and predictable AI outputs
  • Build reusable chains and manage execution with agent executors
  • Develop specialized agents for scheduling, marketing, emails, and tasks
  • Control agent decision-making and reduce illusions
  • Implement RAG (Retrieval-Augmented Generation) step-by-step
  • Convert documents into AI-readable knowledge using embeddings
  • Store and retrieve context using a vector database
  • Perform similarity searches to provide relevant context to AI agents
  • Manage and clear RAG memory to prevent stale or incorrect responses
  • Review and validate AI outputs before delivering final results
  • Build and deliver your own AI agent using FastAPI
  • And…

Course specifications

Publisher: Udemy
Instructors: Ghulam Abbas
Language: English
Level: Introductory to Advanced
Number of Lessons: 38
Duration: 4 hours and 2 minutes

Course topics

LangChain - Develop Controlled AI Agent with LangChain & RAG Content

LangChain – Develop Controlled AI Agent with LangChain & RAG Prerequisites

Basic coding concepts are needed
Familiar with subjects such as: python, environment variables, classes

Pictures

LangChain - Develop Controlled AI Agent with LangChain & RAG

LangChain – Develop Controlled AI Agent with LangChain & RAG introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 1080p

Downloadly link

Download Part 1 – 1 GB

Download Part 2 – 770 MB

Rapidgator link

Download Part 1 – 1 GB

Download Part 2 – 770 MB

File password (s): www.downloadly.ir

Size

1.7 GB