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Artificial Intelligence
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Udemy

LLM Engineering: Master AI & Large Language Models

  • up to 8 weeks
  • Intermediate

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.

  • Generative AI
  • Large Language Models
  • Python
  • Hugging Face
  • Gradio

Overview

This course offers a comprehensive journey into mastering Generative AI and LLMs over 8 weeks. Learners will engage in hands-on projects, building real-world AI applications using cutting-edge models and frameworks. The course covers advanced techniques such as RAG, QLoRA, and Agents, providing step-by-step instructions and practical exercises. Designed for learners at all levels, it focuses on practical application without requiring advanced math, making it accessible and engaging.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Aspiring AI Engineers

Individuals eager to break into the field of Generative AI and LLMs.

Professionals

Those looking to upskill and stay competitive in the rapidly evolving AI landscape.

Developers

Developers interested in building advanced AI applications with practical, hands-on experience.

This course offers hands-on learning with practical exercises, building real-world AI applications. It covers cutting-edge techniques like RAG, QLoRA, and Agents, making it ideal for aspiring AI engineers, professionals, and developers. Enhance your skills and stay competitive in the AI industry.

Pre-Requisites

1 / 1

  • Familiarity with Python. This course will not cover Python basics and is completed in Python.

What will you learn?

Week 1: Foundations and First Projects
Dive into the fundamentals of Transformers. Experiment with six leading Frontier Models. Build your first business Gen AI product that scrapes the web, makes decisions, and creates formatted sales brochures.
Week 2: Frontier APIs and Customer Service Chatbots
Explore Frontier APIs and interact with three leading models. Develop a customer service chatbot with a sharp UI that can interact with text, images, audio, and utilize tools or agents.
Week 3: Embracing Open-Source Models
Discover the world of Open-Source models using HuggingFace. Tackle 10 common Gen AI use cases, from translation to image generation. Build a product to generate meeting minutes and action items from recordings.
Week 4: LLM Selection and Code Generation
Understand the differences between LLMs and how to select the best one for your business tasks. Use LLMs to generate code and build a product that translates code from Python to C++, achieving performance improvements of over 60,000 times.
Week 5: Retrieval-Augmented Generation (RAG)
Master RAG to improve the accuracy of your solutions. Become proficient with vector embeddings and explore vectors in popular open-source vector datastores. Build a full business solution similar to real products on the market today.
Week 6: Transitioning to Training
Move from inference to training. Fine-tune a Frontier model to solve a real business problem. Build your own specialized model, marking a significant milestone in your AI journey.
Week 7: Advanced Training Techniques
Dive into advanced training techniques like QLoRA fine-tuning. Train an open-source model to outperform Frontier models for specific tasks. Tackle challenging projects that push your skills to the next level.
Week 8: Deployment and Finalization
Deploy your commercial product to production with a polished UI. Enhance capabilities using Agents. Deliver your first productionized, agentized, fine-tuned LLM model. Celebrate your mastery of AI and LLM engineering, ready for a new phase in your career.

Meet your instructor

  • Ed Donner

    Co-Founder & CTO, Nebula.io

    Ed is a technology leader and entrepreneur working at the forefront of AI to help people discover their potential. He is the co-founder and CTO of Nebula.io, a company that uses Generative AI and other forms of machine learning to help recruiters source, understand, engage, and manage talent.

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