Fundamentals of Generative AI Context Engineering

About this course

FROM HYPED GEN AI TO PRODUCTION-GRADE GEN AIGen AI has taken over every conversation in the workplace. Everyone has an opinion on it, most companies are adopting it in some form... but very few people can tell you, concretely, what it's actually good at, where it breaks down, and how to build something reliable on top of it.

And so many of these issues relate to the context. Bad information, the context window sliding, insufficient information, and other context-related issues are the true causes of hallucinations (and just bad LLM answers!) at the end of the day.

In this course, we will explore the key problems that may occur with an LLM's context - and, more than anything else, how to address them.

THE TWO MODULESGen AI Literacy: We'll start from first principles: what generative AI is, how it's being adopted (and misused!), the three tiers of Gen AI usefulness, how it's reshaping the nature of work itself, the key technical building blocks of LLMs, and the common pain points organizations hit when rolling it out;The Context Layer: Then, we'll go deep into building reliable Gen AI systems, across six lessons: managing the context window itself, deciding when to escalate or clarify instead of guessing, preventing error propagation across multi-agent systems, handling context in large codebases, designing human review that actually catches what matters, and preserving data provenance to resolve conflicts and communicate uncertainty honestly;LET ME TELL YOU... EVERYTHINGTransparency matters to me, so here's the full megalist of everything covered in this course. No surprises, no filler:

You will learn what generative AI is and how it differs from discriminative AI;You will learn what foundation models are and why they're general-purpose;You will learn about the UVAS (th

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.