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HomeCoursesAi & Machine LearningLLM Engineering: Master AI, Large Language Models & Agents

LLM Engineering: Master AI, Large Language Models & Agents

By Udemy with Ed Donner

AI & Machine Learning

8.4
•1 verified reviewTrustScore
Our ratings use a 10-star system for more precise quality assessment
Online Course
24 hours
Intermediate
Certificate Included
Visit Provider
Write a ReviewWrite a Story
TrustCourse Rating
Verified
B+
TRUST·SCORE
8.4
OUT OF 10
1 verified review
Very Good
Rating Distribution% of reviews
9-10
0%
8-9
100%
7-8
0%
6-7
0%
0-6
0%

DETAILED RATINGS

Content Quality
8.0
Instructor Delivery
9.0
Platform Experience
8.0
Value For Money
9.0
Learning Outcome
8.0
All reviews are verified by TrustCourse

Course Syllabus

1

Week 1 - Foundations: Transformers & First LLM Product

2

Week 2 - Multi-Modal Chatbots with Gradio UI

3

Week 3 - Open-Source Solutions with HuggingFace

4

Week 4 - Model Evaluation & Code Generation

5

Week 5 - Advanced RAG with Vector Embeddings

6

Week 6 - Fine-Tuning Frontier Models via QLoRA

7

Week 7 - Open-Source Model Optimization

8

Week 8 - Autonomous Multi-Agent Systems

TrustCourse AI AnalysisAI Generated
Based on public data analysis
•
Updated May 27, 2025
8.4/10
Very Good

Course Goal

Build and deploy 8 real-world LLM applications using cutting-edge techniques like RAG, QLoRA fine-tuning, and agentic workflows while comparing 20+ Frontier and open-source models.

One-Minute Verdict

Top choice for hands-on LLM engineering with 8 production-ready projects, though some cutting-edge 2025 techniques may require post-course updates.

PROS

  • 8 production-grade projects with deployment guidance
  • Direct comparison of 20+ Frontier/OSS models
  • Includes $5 API credit budgeting guidance

CONS

  • QLoRA modules assume specific GPU access
  • Agentic workflows section needs cloud integration

DETAILED AI RATINGS

Content Quality
8.0/10

Comprehensive coverage of RAG, fine-tuning, and multi-agent systems through real projects. Some API-dependent content may age quickly.

Instructor Delivery
9.0/10

Clear, energetic teaching style with strong project guidance. Students highlight exceptional accessibility to complex topics.

Platform Experience
8.0/10

Standard Udemy video+resources format works reliably. Lacks built-in coding environment for immediate implementation.

Value For Money
9.0/10

Exceptional value at $12 sale price (regular $120) for 24h content. Requires ~$5 API budget for full experience.

Learning Outcome
8.0/10

Graduates report immediate workplace application. Requires supplementary learning for post-2025 model versions.

SOURCES & REFERENCES

  • https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models/
  • https://www.linkedin.com/posts/mansourehmotahari_im-thrilled-to-share-my-experience-with-activity-7288949702127931392-2McA
  • https://www.linkedin.com/posts/vrajshroff_i-recently-took-the-llm-engineering-master-activity-7282553640580485121-RHPn
  • https://www.linkedin.com/posts/angel-bagarotti-4a2b1ba7_just-finished-ed-donners-incredible-course-activity-7267881393458741249-XRvi
  • https://coursesity.com/course-detail/llm-engineering-master-ai-large-language-models-agents

About this AI Summary

This summary is generated by AI based on public internet data, including social networks and available articles.

Powered by AI

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