No-code academy

What you will learn

• 
  How LLMs work — and how to use them safely

  You’ll learn the fundamentals of large language models, including their strengths and weaknesses. We’ll cover what a prompt is, how hallucinations happen, and what kind of tasks LLMs are ideal for — from chatbots and summarizers to creative content generators.
• 
  How to build a RAG-based assistant that answers using your data

  We’ll guide you step-by-step through building a real AI-agent that fetches context from your own documents and answers based on it. You’ll learn about vector embeddings, semantic search, and how to make your assistant reliable and context-aware — all inside the Directual ecosystem.
• 
  How to go beyond the basics with advanced techniques

  Explore how to control the LLM’s output using structured formats (like JSON), enable step-by-step reasoning with chain-of-thought prompts, and test for hallucinations using logprobs. Plus, you’ll see how to run open-source models like Qwen entirely on your own machine.

Course tutorials

What is an LLM and How to Add AI to Your Product Without Code

12:49

What is RAG and Why Your AI Assistant Needs It

20:30

Advanced Techniques for RAG and AI Agents

25:40