LLM Engineering: Master AI, Large Language Models & Agents from Udemy. Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.

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Courses Contents

1. Overview of LLM Engineering: Master AI, Large Language Models & Agents Course on Udemy

2. What to Expect from the LLM Engineering: Master AI, Large Language Models & Agents Course

3. What You Will Learn in LLM Engineering: Master AI, Large Language Models & Agents

4. Why Choose This LLM Engineering: Master AI, Large Language Models & Agents Course on Udemy

5. Recommended Courses with Large Language Models Focus

6. Our Review of LLM Engineering: Master AI, Large Language Models & Agents Course

7. Rating the LLM Engineering: Master AI, Large Language Models & Agents Course

8. Additional Information from Search Insights

Overview of LLM Engineering: Master AI, Large Language Models & Agents Course on Udemy

The “LLM Engineering: Master AI, Large Language Models & Agents” course on Udemy is a comprehensive program designed to transform you into an LLM engineer in just 8 weeks. This course guides you through building and deploying 8 real-world LLM applications, focusing on generative AI, RAG, LoRA, and AI agents. With 25.5 hours of on-demand video, 2 articles, and 5 downloadable resources, instructors Ed Doner and Ligency Team deliver cutting-edge expertise. Rated 4.7/5 by 17,978 learners, it offers lifetime access, mobile and TV compatibility, and a certificate of completion. Enroll today with udemy coupon codes LLM\_AGENTIC\_AUGUST (valid until September 30, 2025—check the offer box below for the discount link!)

What to Expect from the LLM Engineering: Master AI, Large Language Models & Agents Course

This course delivers an intensive, project-based learning experience across 25.5 hours, ideal for intermediate developers and AI enthusiasts with Python basics. Ed Doner and the Ligency Team combine theoretical insights with hands-on labs, guiding you through building 8 production-ready LLM applications. You’ll work on practical projects involving RAG pipelines, fine-tuning with LoRA, and deploying autonomous AI agents. Accessible via Udemy’s flexible platform on mobile, desktop, or TV, it’s tailored for those aiming to excel in generative AI development at scale.

What You Will Learn in LLM Engineering: Master AI, Large Language Models & Agents

* Build and deploy 8 LLM applications using modern frameworks and tools.

* Master RAG (Retrieval-Augmented Generation) for enhanced model performance.

* Apply LoRA (Low-Rank Adaptation) for efficient fine-tuning of large language models.

* Develop AI agents capable of autonomous decision-making in real-world scenarios.

* Implement scalable generative AI solutions with production-grade workflows.

* Optimize model performance with best practices in prompt engineering and evaluation.

Why Choose This LLM Engineering: Master AI, Large Language Models & Agents Course on Udemy

With a stellar 4.7/5 rating from 139,173 learners, this course—updated in December 2024—stands out for its depth and practical focus. Ed Doner and the Ligency Team’s industry expertise ensures you learn current, in-demand skills for AI engineering. The 25.5-hour duration, paired with 2 articles and 5 downloadable resources, offers unmatched value for mastering large language models. Perfect for career-driven professionals, it bridges theory and deployment-ready solutions. Use udemy promo codes LLM\_AGENTIC\_AUGUST to get it at a discount (see offer box)!

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9.5

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* Generative AI with LangChain and Hugging Face – Dive into natural language processing for building advanced LLM apps.

* Advanced AI Agents: Design and Deployment – Learn to create autonomous agents for complex tasks.

* MLOps for Large Language Models – Master model deployment pipelines for scalable AI solutions.

Our Review of LLM Engineering: Master AI, Large Language Models & Agents Course

From a website admin perspective, this course is a powerhouse for aspiring LLM engineers, offering a robust curriculum that blends theory with hands-on projects. Ed Doner and the Ligency Team excel at breaking down complex topics like RAG and LoRA, with practical labs that mirror industry workflows. The focus on deploying 8 LLM applications ensures immediate applicability, though beginners may need prior Python or AI experience to keep up.

9.7Expert Score

LLM Engineering: Master AI, Large Language Models & Agents

Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.

25.5 hours on-demand video

9.7

Access on mobile and TV

9.7

Certificate of completion

9.7

* Pros:

* Comprehensive, project-driven approach with 8 real-world applications.

* High-quality resources and up-to-date content reflecting 2024 trends.

* Expert instruction tailored for production-ready AI engineering.

* Cons:

* Steep learning curve for those new to AI or Python.

* Limited coverage of niche LLM frameworks beyond mainstream tools.

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Rating the LLM Engineering: Master AI, Large Language Models & Agents Course

* Content: 9.8/10 – Thoroughly covers large language models and deployment strategies.

* Delivery: 9.5/10 – Engaging labs, though pacing may challenge novices.

* Value: 9.7/10 – Affordable with udemy discounts coupon LLM\_AGENTIC\_AUGUST.

Enroll now to master AI engineering with this top-tier course!

Additional Information from Search Insights

Search trends highlight strong interest in large language models, generative AI, RAG, LoRA, and AI agents, reflecting the course’s alignment with cutting-edge AI demands. Queries around prompt engineering and model deployment underscore its relevance for professionals aiming to lead in generative AI development, making it a strategic choice for career growth in a competitive, AI-driven landscape.