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AI Courses Udemy All Levels 25.5 hours on-demand video 9838 views

LLM Engineering: Master AI, Large Language Models & Agents

Become an LLM engineer in 8 weeks by building and shipping 8 real apps—RAG, LoRA/QLoRA fine-tuning, and agentic workflows included.

Start on Udemy
Level: All LevelsDuration: 25.5 hours on-demand videoCertificate: Udemy certificate of completionUpdated: 3 hours ago
FormatSelf-paced video course
LanguageEnglish
PrereqsFamiliarity with Python; PC with internet; optional ~$5 in API costs (can complete with open-source models).
LLM Engineering: Master AI, Large Language Models & Agents cover

Course snapshot

  • Generative AI
  • LLM Engineering
  • RAG (Retrieval-Augmented Generation)
  • Fine-tuning (LoRA/QLoRA)
  • Agentic AI & Multi-Agent Systems
  • Hugging Face
  • LangChain & LangGraph
  • Gradio
  • Vector Datastores & Embeddings
  • Multimodal Apps (text, audio, images)
  • Model Selection (frontier vs open-source)
  • Deployment & UI

Become an LLM Engineer in 8 weeks. Build and deploy 8 Generative AI apps while mastering RAG, LoRA/QLoRA fine-tuning, and agentic workflows. Led by industry veteran Ed Donner, you'll experiment with 20+ models (frontier and open-source), use Hugging Face, LangChain/LangGraph, and Gradio, and ship production-grade UIs. What you’ll build: • Project 1: AI brochure generator that intelligently scrapes and navigates company websites. • Project 2: Multimodal customer support agent (text, images, audio) with function-calling. • Project 3: Meeting minutes/action items from audio using open- and closed-source models. • Project 4: Code translator that converts Python to optimized C++ with massive speed-ups. • Project 5: RAG knowledge worker that answers any question about company docs. • Project 6: Capstone A – Predict product prices with frontier models. • Project 7: Capstone B – Fine-tune open-source (QLoRA) to compete with frontier. • Project 8: Capstone C – Autonomous multi-agent system to spot deals and send alerts. You’ll compare leading frontier and open-source LLMs, learn when to use RAG vs. fine-tuning, and deploy with a polished UI. No advanced math required; Python familiarity recommended. Includes: 25.5h on-demand video, certificate of completion, lifetime access. Best for developers, data scientists, and pros upskilling to real-world LLM engineering.

Perfect forDevelopers and data scientists moving into LLMs, Engineers building real-world GenAI apps, Pros looking to upskill on RAG, LoRA, and agents, Career switchers targeting AI product work
Not forLearners needing Python basics
Price64.99–64.99 USD

Pricing and availability can change. Always check the provider page.

Instructors & Institution

Institution

Udemy

Instructors


  • Ligency Team
  • Ed Donner

Admission & cost

Audit—
Free trialNo
Financial aid—
Price64.99–64.99 USD

Discounted to $9.99 with coupon MT250923G1 (3 days left). 30-day money-back guarantee. Full lifetime access.

Enroll

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