What you'll learn
- Use OpenAI & Gemini APIs to build real-world AI applications
- Craft effective prompts using proven engineering techniques
- Build chatbots, voice apps, and image generation tools
- Use LangChain to create agents that use memory and tools
- Work with embeddings & RAG for smarter search and Q&A
- Build multi-step agents with LangGraph and LangSmith
- Analyze, debug, and improve LLM-powered apps
- Build a full-featured AI Research Assistant from scratch
This course is your hands-on path to becoming a Generative AI engineer...someone who doesn’t just use AI, but builds with it.
You’ll start by leveling up your Python skills, mastering how to structure modular code, handle APIs, and manipulate data. Then, you’ll dive deep into the world of large language models (LLMs)—how they work, how they’re trained, and how to talk to them effectively through advanced prompt engineering.
From there, it’s all about application. You’ll learn how to build real-world AI-powered apps using the OpenAI and Gemini APIs—working with chat, image, and audio features. You’ll go even further by learning frameworks like LangChain for chaining prompts and building agents, and LangGraph for orchestrating stateful, multi-step workflows. You’ll give your apps memory using embeddings and vector databases, and learn to debug and scale production-ready systems with LangSmith.
And it’s not just theory. Throughout the course, you’ll build chatbots, intelligent image tools, search-driven Q&A systems, and more. The final capstone brings everything together as you build a research agent that uses retrieval, tools, and reasoning to generate high-quality summaries of real-world data.
This is how you go from experimenting with AI… to engineering it.
What Else Should I Know?
By becoming a ZTM member you'll not only get access to all our bootcamp courses, bytes, and projects.
But you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.
Most importantly, you'll be learning from an industry professional (Andrei) that has actual real-world experience with AI Engineering. He teaches you the exact strategies and techniques he uses in his role.
Finally, as with all ZTM courses, this course is a living thing. It will be constantly updated as the landscape changes so you can use it as your go-to guide for building smarter AI applications using RAG both now and throughout your career.
Join 1,000s of Zero To Mastery graduates that have gotten hired and are now working at companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, Shopify + other top tech companies.
They come from all different backgrounds, ages, and experiences. Many even started as complete beginners.
So there's no reason it can't be you too.
And you have nothing to lose. Because you can start learning right now and if this course isn't everything you expected, we'll refund you 100% within 30 days. No hassles and no questions asked.
When's the best time to get started? Today!
There's never a bad time to learn in-demand skills. But the sooner, the better. So start learning to build Generative AI applications today by joining the ZTM Academy. You'll have a clear roadmap to developing the skills to build your own projects, get hired, and advance your career.
Join Zero To Mastery Now