LLM Engineering: Master AI, Large Language Models & Agents
Develop essential generative ai & chatgpt skills with expert instruction and practical examples.
What You'll Learn
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Prerequisites & Target Audience
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About This Course
Mastering Generative AI and LLMs: An 8-Week Hands-On JourneyAccelerate 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• Build advanced Generative AI products using cutting-edge models and frameworks.
• Experiment with over 20 groundbreaking AI models, including Frontier and Open-Source models. • Develop proficiency with platforms like HuggingFace, LangChain, and Gradio. • Implement state-of-the-art techniques such as RAG (Retrieval-Augmented Generation), QLoRA fine-tuning, and Agents.
• Create real-world AI applications, including:• A multi-modal customer support assistant that interacts with text, sound, and images. • An AI knowledge worker that can answer any question about a company based on its shared drive. • An AI programmer that optimizes software, achieving performance improvements of over 60,000 times.
• An ecommerce application that accurately predicts prices of unseen products. • Transition from inference to training, fine-tuning both Frontier and Open-Source models. • Deploy AI products to production with polished user interfaces and advanced capabilities.
Topics Covered
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$19.99
list price when the catalogue was read (2026-07-07); Udemy sale prices run lower
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Certifications in this area
- Microsoft Certified: Azure Data Fundamentals · Foundational
- Microsoft Certified: Azure AI Fundamentals · Foundational
- AWS Certified AI Practitioner · Foundational
- Microsoft Certified: Fabric Data Engineer Associate · Associate
- Microsoft Certified: Power BI Data Analyst Associate · Associate
- Databricks Certified Data Engineer Associate · Associate
Concepts behind this area
Transformers
A transformer is a neural-network design that takes a whole sequence in at once and, for every element in it, works out how strongly each of the other elements should influence that one.
Prompt Engineering
Prompt engineering is the practice of composing what you send a generative model, the instruction, the supporting material and the worked examples, so that it returns something you can actually use.
Retrieval-Augmented Generation
Retrieval-augmented generation is a pattern that searches a body of documents when a question arrives and places the passages it finds into the model's prompt, so the answer is drawn from those sources rather than from training alone.
The field, explained: Artificial Intelligence & Machine Learning
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.
