Master AI Engineering Step by Step
No Coding Required

Yes, 100%. All 150+ articles, 10 interactive guides, quizzes, and exercises are completely free. No account required, no credit card, no paywall. Our mission is to make quality AI education accessible to everyone — you can start learning in under 5 minutes.

Absolutely. No programming skills are required to start. Our content is designed for all backgrounds — marketers, HR professionals, designers, students, or anyone curious about AI. The beginner guides (Modules 0-2) require zero code. Advanced guides like RAG and AI Agents introduce technical concepts progressively with hands-on exercises.

Yes, but it’s evolving. Prompt engineering remains essential, but the field has expanded into context engineering — selecting, compressing, and orchestrating the right information for LLMs. Our curriculum covers both: from foundational prompt techniques (zero-shot, few-shot, chain-of-thought) to advanced context engineering (RAG, MCP protocol, caching strategies).

Start with Guide 0 (Prompt Engineering Basics) to learn the R.C.T.F framework and core techniques. Then progress through LLM internals (Guide 1), structured outputs (Guide 2), and chain-of-thought reasoning (Guide 3). Each guide builds on the previous one with interactive exercises. The full path from beginner to expert takes about 40 hours at your own pace.

Our 10-guide curriculum spans the complete AI engineering stack: prompt engineering fundamentals, LLM internals (tokens, attention), structured JSON outputs, chain-of-thought reasoning, prompt orchestration (chaining, routing, map-reduce), RAG pipelines, AI agents with ReAct, multimodal AI (image generation, diffusion models), AI ethics and safety (AI Act, GDPR, red-teaming), and context engineering (MCP protocol, caching). Plus 150+ blog articles on current AI topics.

Prompt engineering focuses on crafting the right instruction for an LLM. Context engineering goes further — it’s about selecting, compressing, and managing ALL the information surrounding the prompt: retrieved documents (RAG), tool outputs, conversation history, and system instructions. Think of prompt engineering as writing a good question; context engineering is about curating everything the AI needs to give a great answer. We cover both in depth.

Yes! All 10 interactive guides are available in 7 languages (English, French, German, Spanish, Italian, Russian, Tamil). Blog articles are progressively being translated to French, with 23 bilingual articles already available. The platform interface is fully localized in French.