How to Build AI Apps, Agents & RAG Systems – Learn AI Engineering Step by Step 2026
Learn how to build real AI applications from scratch – even if you're just getting started. This step-by-step learning path takes you from writing your first prompt to deploying production-ready AI agents and RAG systems. Master the OpenAI API, Claude API, MCP and more.
Module 1: Foundations – How LLMs Work & Prompt Engineering
Understand how large language models actually work under the hood, and learn to write prompts that get reliable, high-quality results from any AI model.
Module 2: Building with LLM APIs – Your First AI-Powered Apps
Go from prompting in a chat window to building real applications with the OpenAI, Anthropic, and open-source LLM APIs using Python.
Module 3: RAG – Give Your AI Access to Custom Knowledge
Learn Retrieval Augmented Generation – the technique that connects LLMs to your own data using vector databases, embeddings, and retrieval pipelines.
Module 4: AI Agents – Build Systems That Think and Act
Build autonomous AI agents that can plan, reason, use tools, and collaborate. Learn the core patterns and frameworks behind agentic AI systems.
Module 5: Production & Deployment – Ship AI to the Real World
Take your AI projects from notebook demos to production. Learn deployment, evaluation, cost management, MLOps, and how to build reliable AI systems at scale.