Udemy - Fundamentals of Generative AI Context Engineering

Fundamentals of Generative AI Context Engineering

https://WebToolTip.com

Published 7/2026
Created by Vasco Patrício
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 25 Lectures ( 4h 22m ) | Size: 3.3 GB

Understanding LLM context, including its nuances: tokens, tiers, escalation, error handling, human review, and more

What you'll learn
⚡ You will learn Gen AI literacy from the ground up: what generative AI and foundation models actually are, how they differ from discriminative AI, and adoption;
⚡ You will learn to separate hype from reality using a three-tier usefulness framework (very useful, somewhat useful, dangerous), so you know when to use it;
⚡ You will learn the technical fundamentals of LLMs, including parameters, context windows, tokenization, embeddings, hallucinations, fine-tuning, LoRAs, RAG...;
⚡ You will learn how to master the context layer in Claude-based systems: constructing, prioritizing, and preserving context, avoiding most major problems;
⚡ You will learn how to design production-grade Claude workflows, including when to escalate to a human, how to prevent error propagation, deal with codebases...;

Requirements
❗ You don't need any prior knowledge of AI, machine learning, or LLMs (familiarity with LLMs or basic prompting helps, but is NOT required);
❗ A basic understanding of how software workflows or APIs function is recommended, although we will recap everything relevant along the way;