Generative AI with Large Language Models


Explore the exciting world of Generative AI with Large Language Models (LLMs) in this comprehensive course. Whether you’re an individual looking to expand your skill set or a business, university, or government entity seeking cutting-edge AI knowledge, this course offers a deep dive into the fundamentals of generative AI and its real-world applications. Led by expert instructors with practical experience in AWS AI, you’ll gain insights into the transformative power of LLMs and how they create value in today’s technology landscape.

Subjects Covered:

  • Module 1: Generative AI Use Cases and Project Lifecycle

    • Explore use cases for generative AI.
    • Understand the typical project lifecycle for LLM-based generative AI, from data gathering to deployment.
  • Module 2: Fine-tuning and Evaluating Large Language Models

    • Dive into the transformer architecture powering LLMs.
    • Learn how LLMs are trained and fine-tuned.
    • Optimize model objectives across dataset size, compute budget, and inference requirements.
  • Module 3: Reinforcement Learning and LLM-powered Applications

    • Explore reinforcement learning techniques.
    • Discover practical applications of LLMs in various domains.

Course Features:

  • Instructors: Led by top instructor Mike Chambers and three more experts.
  • Level: Intermediate, recommended for individuals with coding experience in Python.
  • Duration: Approximately 16 hours to complete over 3 weeks (5 hours per week).
  • Flexible Schedule: Learn at your own pace.
  • Languages: Course materials available in English with subtitles in 15+ languages.
  • Shareable Certificate: Earn a shareable certificate upon course completion.
  • LinkedIn Integration: Add your course credential to your LinkedIn profile.
  • Recent Update: Last updated in June 2023.
  • Quizzes and Assessments: Includes quizzes and assessments for enhanced learning.

Key Learning Outcomes:

By the end of this course, you will:

  • Deeply understand the generative AI lifecycle and its key steps.
  • Grasp the transformer architecture and fine-tuning techniques for LLMs.
  • Optimize model objectives across various constraints.
  • Apply state-of-the-art AI training, tuning, and deployment methods.
  • Analyze challenges and opportunities generative AI presents to businesses.
Developers with foundational understanding of LLMs will be equipped to make informed decisions for their organizations and build prototypes more efficiently.

Target Audience:

This course is ideal for:

  • Individuals seeking to expand their knowledge of generative AI and LLMs.
  • Businesses looking to leverage cutting-edge AI technology.
  • Universities and academic institutions interested in AI education.
  • Government entities exploring AI applications.


This course provides a shareable certificate upon completion (audit version excluded). You can add the course credential to your LinkedIn profile, resume, or CV. Financial aid may be available for eligible learners.