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RAG & LLM AssistantsIntermediateBESTSELLER

Build AI Agents with LangChain & OpenAI

Create autonomous AI agents that can browse, code, and execute complex workflows.

What is RAG (Retrieval-Augmented Generation)?

This revolutionary technique enables AI assistants to access your own data to generate precise and contextual responses. Unlike standard LLMs, a RAG system queries your knowledge base before responding, eliminating hallucinations and ensuring reliable information.

Why is this skill in high demand?

In 2025, companies are investing heavily in generative AI: +185% job postings for developers mastering RAG and LangChain. Salaries for these positions start at $120K/year and can reach $180-220K/year for senior profiles. By 2030, Gartner predicts 80% of companies will use custom AI assistants.

What you'll master

In this 10h 20min course, You will master RAG, multimodal processing (text, image, audio simultaneously), and integration with modern APIs. You will build AI assistants capable of understanding PDF documents, analyzing images, and responding intelligently using your company's own data.

Your achievements by the end

You will be able to deploy a complete AI assistant to production. You will master vector databases (Pinecone, Weaviate), orchestration with LangChain, and best practices for robust, scalable systems. You will master LangChain, AI Agents, OpenAI API, Tool Integration.

πŸ’‘ 2025-2030 Outlook: The custom AI assistants market is exploding.

  • 2025: Salaries $120-180K/year | Freelance $200-350/hour
  • 2027: Demand x3 with massive enterprise adoption
  • 2030: Critical skill valued at $200-250K/year for senior experts
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5 courses in this specialty

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65 courses β€’ 12 specialties

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2 essential courses

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Lifetime Access

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What You'll Learn

Build autonomous AI agents with LangChain
Integrate multiple tools and APIs
Create agents that can browse and research
Implement memory for conversation context
Deploy production-ready agent systems

Skills You'll Gain

LangChainAI AgentsOpenAI APITool IntegrationAutonomous Systems

Prerequisites

  • Python basics
  • API experience helpful
  • OpenAI API key

About This Course

Build intelligent AI agents that can autonomously complete complex tasks. Learn to use LangChain to create agents that can browse the web, write code, query databases, and chain multiple tools together.

By the end of this course, you'll master LangChain, AI Agents, OpenAI API and much more. The program includes 5 practical modules with 54 detailed lessons, each designed to help you progress quickly and effectively.

Each module contains hands-on exercises, real projects, and concrete case studies. You'll learn not just the theory, but how to apply these skills in real professional situations.

With our subscription bundles, you get additional benefits: monthly live sessions, access to a private community, priority expert support, and continuous content updates to stay current with the latest industry developments.