Course path · 6 to 10 weeks
Become an AI engineer
AI engineering is mostly software engineering around a model: calling it reliably, giving it the right context, and checking what comes back. This path starts with how LLMs work, then builds applications on top of them, then covers retrieval, agents and fine-tuning. A working knowledge of Python or JavaScript is assumed.
Step 1. How LLMs work
Tokens, transformers and attention, at the depth you need to reason about model behaviour.
Updated 1y ago10-Hour LLM Fundamentals
Unlock the potential of large language models with our intensive course, " LLM Basics in 10 Hours ".10h 30m5/5
Updated 1mo agoAdvanced AI: LLMs Explained with Math (Transformers, Attention Mechanisms & More)
A math-first look at transformer models like GPT and BERT: tokenization, attention mechanisms, and the core algorithms behind them.4h 55m5/5
Step 2. Build LLM applications
APIs, prompting, structured output and shipping a first product.
ClassicAI Engineering Bootcamp: Building AI Applications (LangChain, LLM APIs + more)
This course is your practical path to a career as a generative AI engineer: not just using technologies, but creating them. First, you will enhance your skills.18h 33m5/5
Updated 1y agoBuild Your First Product with LLMs, Prompting, RAG
Unlock your potential with our comprehensive course that equips you with the skills to build an advanced product using large language models (LLMs).2h 25m5/5
Updated 5mo agoAI SDK v6 Crash Course
100% TypeScript. 100% Production-ready. 0% hype. Only real tools and experience.3h 2m5/5
Step 3. RAG, agents and fine-tuning
Ground answers in your own data, chain tools together, and adapt a model when prompting is not enough.
Updated 1mo agoAI Engineering Bootcamp: RAG (Retrieval Augmented Generation) for LLMs
Learn to build RAG-powered AI apps that pull fresh, current data into LLM responses, from retrieval basics to multimodal agents.17h 51m5/5
Updated 1mo agoBuild AI Agents with CrewAI
Build collaborative multi-agent AI systems with CrewAI, progressing from simple workflows to a working AI interview coach.2h 51m5/5
Updated 1y agoAI Engineering: Fine-Tuning LLMs
If you're interested in AI that actually works and not just sounds impressive, this compact course is for you.1h 35m
One plan opens every course on this path
Plans are paid once for 1, 3 or 6 months and never renew on their own. For 6 to 10 weeks of study, one or three months is usually enough.