Introduction to Generative AI

This bootcamp is no longer available. But you can join the platform today and get all the content. This hands-on Generative AI bootcamp is designed for beginners. Taking you from zero to hero in Large Language Models (LLMs) through engaging interactive lessons and real-world projects. Master essential skills like prompt engineering, work with cutting-edge tools like Azure and OpenAI, and learn to build your own AI applications. By the end, you'll be equipped to harness this revolutionary technology while understanding its real-world implications.

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Noah Gift

This bootcamp has already completed and is no longer available. You can still get all the content if you join the platform

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Learn from top university instructors

The curated content for the bootcamp is based on the same material we use at top universities like Duke University, Northwestern, and UC Davis.

Practical and hands on

The material and content goes beyond the basic theory and is meant for you to practice, enhancing your learning.

Get access to high-quality, curated content

All exercises, readings, examples, and video content is of extremely high quality and you will get access to all of it in this bootcamp.

Join half a million learners

We've specialized in teaching based on our vast experience in tech. Be part of half a million learners who have used our courses!

Syllabus

This bootcamp is packed with useful content, curated from our experience working with top-tier universities.

Week 1

Introduction to Generative AI

  • Understand the basics of Generative AI and LLMS
  • Overview of how models work
  • Compare and understand differences in LLM models

Week 2

Interacting with models

  • Basic prompting and prompt engineering
  • Advanced prompting techniques to interact with LLMs
  • Understand limitations of LLMs

Week 3

Data Structures in Rust

  • Working with structs and creating instances
  • String manipulation and vector operations
  • Understanding and using enums

Week 4

Generative AI applications

  • Explore types of generative AI applications
  • Fundamentals of robust applications like Retrieval Augmented Generation
  • Use API-based applications for LLMs

Week 5

Local LLMs

  • Understand how to run local LLMs
  • Basic setups required for local LLMs
  • Interact with local models and build applications

Course Material

FREE resources

Custom training for your company

We are ready to deliver this and other training to your group. We can usually accommodate different requirements and are flexible with the number of seats. Reach out to us at contact@paiml.com

  • Bulk pricing available
  • Customizable content
  • Ready to start on your schedule

Frequently Asked Questions

All the details about the bootcamp

Cost

This bootcamp has a cost of $997 USD. It is a single payment upfront processed by credit card payment.

Short answer: no refunds. Refunds create a signigicant overhead for our team and seats are limited. The content, and the instructor have been validated by several top-tier universities like UC Davis, Northwestern, and Duke University. The cost of this bootcamp is also priced competitively and meant to provide you as much value as possible.

Yes, 100% You can absolutely review almost the entirety of this bootcamp for FREE. All the video content is available in these platforms:

Use our sample letter! We have a sample letter you can use to tell your current employer to fund your training. Adapt it to your needs and get your employer to fully pay for your bootcamp.

Bootcamp

Sign up to get the start date, spaces are limited. You will be notified well in advance.

This introductory course is designed for beginners with no prior knowledge of generative AI. You will start by gaining a high-level understanding of what generative AI is and how it works. This bootcamp aims to provide a friendly introduction to prepare complete beginners for further exploration of this rapidly evolving technology.

The bootcamp is a mix of online videos, with readings, hands-on exercises and quizzes with an additional live (instructor-led) class of an hour a week. This content is self-paced except for the instructor led class every week.

Yes, depending on the platform you choose for videos. This bootcamp is structure so that you can learn from both the online material as well as the instructor led class. Additionally, if you want to have a certification, you can elect to do so in the platforms that support it. For example, Coursera, edX, and Future Learn are platforms that let you audit the content for FREE but optionally allow you to get the certification.
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Who are we?

"Noah Gift is a renowned technology leader with over 30 years of experience, is a recognized expert on MLOps, data engineering, cloud architecture, and Rust programming. He combines his industry expertise with teaching roles at Duke University and other institutions, making complex topics understandable to thousands of students worldwide. An award-winning author of best-selling books on DevOps, MLOps, data engineering, and cloud computing, Gift is also an AWS ML Hero, Python Software Foundation Fellow, and sought-after keynote speaker at conferences focused on cloud development and ethical AI use."
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Noah Gift / Author, Professor, Founder at Pragmatic AI Labs