LLM Engineering: Master AI, Large Language Models & Agents
$0.99
Mastering Generative AI and LLMs: An 8-Week Hands-On Journey
Accelerate your career in AI with practical, real-world projects led by industry veteran Ed Donner. Build advanced Generative AI products, experiment with over 20 groundbreaking models, and master state-of-the-art techniques like RAG, QLoRA, and Agents.
What you’ll learn
- Project 1: Make AI-powered brochure generator that scrapes and navigates company websites intelligently.
- Project 2: Build Multi-modal customer support agent for an airline with UI and function-calling.
- Project 3: Develop Tool that creates meeting minutes and action items from audio using both open- and closed-source models.
- Project 4: Make AI that converts Python code to optimized C++, boosting performance by 60,000x!
- Project 5: Build AI knowledge-worker using RAG to become an expert on all company-related matters.
- Project 6: Capstone Part A – Predict product prices from short descriptions using Frontier models.
- Project 7: Capstone Part B – Execute Fine-tuned open-source model to compete with Frontier in price prediction.
- Project 8: Capstone Part C – Build Autonomous multi agent system collaborating with models to spot deals and notify you of special bargains.
- Compare and contrast the latest techniques for improving the performance of your LLM solution, such as RAG, fine-tuning and agentic workflows
- Weigh up the leading 10 frontier and 10 open-source LLMs, and be able to select the best choice for a given task
Course content
88 sections • 225 lectures • Total duration 25 h 16 min
Week 1 - Build Your First LLM Product: Exploring Top Models & Transformers
Week 2 - Build a Multi-Modal Chatbot: LLMs, Gradio UI, and Agents in Action
Week 3 - Open-Source Gen AI: Building Automated Solutions with HuggingFace
Week 4 - LLM Showdown: Evaluating Models for Code Generation & Business Tasks
Mastering RAG: Build Advanced Solutions with Vector Embeddings & LangChain
Week 6: Fine-tuning Frontier Large Language Models with LoRA/QLoRA
Fine-tuned open-source model to compete with Frontier in price prediction.
Week 8 - Build Autonomous multi agent system collaborating with models