Master New Skills with 5-Minute Bite-Sized Learning Modules
Start your journey for free.
Master New Skills with 5-Minute Bite-Sized Learning Modules
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
AI/ML Engineering Lead is the career move most Generative AI Engineering learners don't see coming.
Feature Engineering pairs surprisingly well with Generative AI Engineering. Most people overlook this combo.
LangChain + Claude can chain AI models into powerful workflows. It's like having an assistant on speed dial.