Institution
Udemy
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.
Pricing and availability can change. Always check the provider page.
Instructors & Institution
Instructors
- Ligency Team
- Ed Donner
Admission & cost
Discounted to $9.99 with coupon MT250923G1 (3 days left). 30-day money-back guarantee. Full lifetime access.
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