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RAG & LLM AssistantsIntermediate

Advanced Prompt Engineering: Chain-of-Thought & Beyond

Level up with advanced techniques: few-shot learning, chain-of-thought, and structured outputs.

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 7h 45min 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 Chain-of-Thought, Few-Shot Learning, Structured Outputs, JSON Mode.

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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2 essential courses

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What You'll Learn

Master chain-of-thought prompting for complex reasoning
Implement few-shot learning with optimal examples
Generate reliable structured outputs (JSON, XML)
Use function calling for AI agents
Build multi-step reasoning pipelines

Skills You'll Gain

Chain-of-ThoughtFew-Shot LearningStructured OutputsJSON ModeFunction Calling

Prerequisites

  • Basic prompting experience
  • Familiarity with ChatGPT or Claude

About This Course

Take your prompting skills to the next level with advanced reasoning techniques. Learn how to make AI think step-by-step, handle complex multi-step tasks, and output structured data reliably.

By the end of this course, you'll master Chain-of-Thought, Few-Shot Learning, Structured Outputs and much more. The program includes 5 practical modules with 43 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.