Udemy - Fundamentals of Generative AI Context Engineering

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3.3 GB
  • Uploaded Byfreecoursewb
  • Downloads74
  • Last checkedAug. 09th '26
  • Date uploadedAug. 08th '26
  • Seeders 11
  • Leechers16

Infohash : BA621864EB35C17B9273765F94618602CFE5D8C2

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;

Files:

[ WebToolTip.com ] Udemy - Fundamentals of Generative AI Context Engineering
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Course Introduction
    • 1. Course Introduction.mp4 (34.5 MB)
    • 1. Course Introduction_en-US.srt (5.9 KB)
    2 - Fundamentals of Generative AI
    • 1. Teaching Gen AI Literacy.html (2.2 KB)
    • 2. Module Intro.mp4 (60.0 MB)
    • 2. Module Intro_en-US.srt (6.8 KB)
    • 3. Where We Are.mp4 (250.7 MB)
    • 3. Where We Are_en-US.srt (30.9 KB)
    • 4. What Gen AI Can Actually Do.mp4 (266.3 MB)
    • 4. What Gen AI Can Actually Do_en-US.srt (32.2 KB)
    • 5. How Gen AI Changes Work.mp4 (220.7 MB)
    • 5. How Gen AI Changes Work_en-US.srt (31.4 KB)
    • 6. Technical Aspects of Gen AI.mp4 (457.3 MB)
    • 6. Technical Aspects of Gen AI_en-US.srt (55.2 KB)
    • 7. Common Pain Points.mp4 (320.3 MB)
    • 7. Common Pain Points_en-US.srt (42.1 KB)
    • 8. The AHEADS Model.html (7.8 KB)
    • 9. Module Outro.mp4 (80.1 MB)
    • 9. Module Outro_en-US.srt (8.4 KB)
    3 - The Context Layer
    • 10. Module Intro.mp4 (48.1 MB)
    • 10. Module Intro_en-US.srt (6.4 KB)
    • 11. Managing the Context.mp4 (317.7 MB)
    • 11. Managing the Context_en-US.srt (52.9 KB)
    • 12. Let's Coin Context Data Governance (CDG).html (6.3 KB)
    • 13. Dealing with Escalation and Ambiguity.mp4 (261.0 MB)
    • 13. Dealing with Escalation and Ambiguity_en-US.srt (39.4 KB)
    • 14. Granularity on Options... Includes The Option To Not Do Something.html (6.4 KB)
    • 15. Preventing Error Propagation.mp4 (226.0 MB)
    • 15. Preventing Error Propagation_en-US.srt (33.4 KB)
    • 16. Should I Stay Or Should I Propagate.html (6.2 KB)
    • 17. Context in Large Codebases.mp4 (274.4 MB)
    • 17. Context in Large Codebases_en-US.srt (46.7 KB)
    • 18. An Emergent, Hyper-Specialized Local Use Case.html (7.3 KB)
    • 19. Designing Human Review.mp4 (253.0 MB)
    • 19. Designing Human Review_en-US.srt (39.1 KB)
    • 2. Role Play Mentoring on Context Essentials.html (3.7 KB)
    • 20. Failure Affordance Varies By Use Case.html (6.3 KB)
    • 21. Data Provenance and Conflicts.mp4 (221.8 MB)
    • 21. Data Provenance and Conflicts_en-US.srt (38.5 KB)
    • 22. Putting the Provenance in Data Provenance.html (6.8 KB)
    • 23. Module Outro.mp4 (32.3 MB)
    • 23. Module Outro_en-US.srt (4.7 KB)
    • 24. Key Distinctions - The Context Layer.html (15.8 KB)
    4 - Course Conclusion
    • 25. Course Conclusion.mp4 (31.7 MB)
    • 25. Course Conclusion_en-US.srt (5.4 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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