Master new skills with our 21-day learning paths, broken into easy 5-minute daily lessons.
Start your journey for free.
Master new skills with our 21-day learning paths, broken into easy 5-minute daily lessons.
Start your journey for free.
Build LLM-powered applications. Master Prompt Engineering, RAG (Retrieval Augmented Generation), and Vector Databases to create smart agents.
The AI revolution is here. This course moves beyond 'chatting' with ChatGPT to engineering applications *on top* of Large Language Models. You will learn the art of advanced Prompt Engineering to get consistent outputs. Dive into building RAG systems that allow AI to answer questions from your own private data using Vector Databases like Pinecone. We cover LangChain for chaining logic and building autonomous agents. This is the cutting edge of software development today.
Estimated completion time: 21 lessons • Self-paced learning • Lifetime access
No, we focus on the Application Layer (using models).
Minimal; focus is on architecture and logic.
We teach cost estimation; Open Source options exist.
Explosive demand for engineers who know this stack.
3 recommended paths based on what you're learning
The natural next step after Generative AI Engineering? Becoming a MLOps Engineer.
This unexpected skill — Feature Engineering — makes your Generative AI Engineering work twice as effective.
Work faster, not harder. Hugging Face AutoTrain was built to fine-tune models without writing code.