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Bring LLMs into your company and start building with them

Learn to transform your workflow, team, and industry with LLMs

  • Learn to Use LLMs Effectively and Responsibly

    Understand how these models work and how to compare them, where they can be used in your products and workflows and how to interact with them (prompt engineering).

  • Learn the Core LLM Developer Toolkit

    We introduce the core skills needed to customise LLMs to specific industries and tasks and to improve reliability and usability. Including Retrieval Augmented Generation, Fine-Tuning, Tool Use, Agents, Prompt Caching, Audio capabilities and more.

  • A Roadmap for AI-driven Innovation in Your Industry

    Gain actionable insights from case studies showing real-world AI implementations that have saved millions—understand how to replicate this success in your own context.

Industry Leaders on the Course

“This is the most comprehensive textbook to date on building LLM applications, and helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. The application topics include prompting, RAG, agents, fine-tuning, and deployment - all essential topics in an AI Engineer's toolkit.”

Jerry Liu, Co-founder and CEO of LlamaIndex

“A truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend.”

Pete Huang, Co-founder of The Neuron

“An incredible survey of all the real-world problems one encounters when trying to productionize an LLM, as well as multiple solutions to each roadblock. Highly recommend this!”

Nick Singh, Founder of DataLemur.com & Author of Ace the Data Science Interview

“A comprehensive and well-rounded resource that covers all the fundamentals of LLMs with a well-struck balance between theory and code[…]”

Tina Huang, Founder of Lonely Octopus, YouTuber, Ex-Meta

“It covers the foundational aspects of LLMs as well as advanced use-cases like finetuning LLMs, Retrieval Augmented Generation and Agents. This will be valuable to anyone looking to dive into the field quickly and efficiently.”

Jeremy Pinto, Senior Applied Research Scientist at Mila

Who Is This Course For?

This course is specifically designed as a 1 day bootcamp for Software Professionals (language agnostic). It is an efficient introduction to the Generative AI field. We teach the core LLM skills and techniques together with practical tips. This will prepare you to either use LLMs via natural language or to explore documentation for LLM model platforms and frameworks in the programming language of your choice and start developing your own customised LLM projects. 

From Prompting with ChatGPT to Developing Custom LLM Pipelines

Learn by Doing With 16 Hands-On Assignments!

Enroll now!

Course curriculum

Our comprehensive curriculum includes 16 hands-on exercises and 40 in-depth chapters!

    1. Video Introduction to 8-hour Generative AI Primer for Software Professionals

      FREE PREVIEW

    2. Course Introduction and Syllabus

      FREE PREVIEW

    1. Part 1 Overview: Foundational Knowledge of LLMs

      FREE PREVIEW

    2. Why Learn How to Use LLMs

      FREE PREVIEW

    3. Breaking Down AI Roles: LLM Developers vs. Software and ML Engineers

    4. Why Learn How to Use LLMs and Why Learn the LLM Developer Toolkit?

    5. AI Theory 101: Understanding Large Language Models without Math or Code

    6. Part 1: Quiz 1

    7. Limitations and Weaknesses of LLMs

    8. How LLMs Can Assist Work Across Different Task Categories

    9. Part 1: Quiz 2

    1. Part 2 Overview: Tools and Ecosystem

      FREE PREVIEW

    2. Introduction to ChatGPT

    3. Hands-on: Exploring ChatGPT Models and Their Reasoning Capabilities

    4. Choosing your LLM Part 1: Open vs Closed Source and Key Comparison Metrics

    5. Choosing your LLM Part 2: Key Benchmarks and Leaderboards

    6. Choosing your LLM Part 3: The Leading Open and Closed LLMs Today

    7. Part 2: Quiz 1

    8. Hands-On: Open-Source

    9. Hands-On: Closed LLM Pricing Analysis

    10. What is Prompt Injection? Can you Hack a Prompt?

    11. Security, Privacy & Cost Trade-Offs

    12. 5 Key Ways To Interact with LLMs

    13. Prompting 101

    14. Part 2: Quiz 2

    15. Hands-on: Exploring Prompting Techniques with ChatGPT

    16. Introduction to LLMs and How To Use via API; OpenAI and Gemini models

    17. Evaluating and Iterating Prompts

    18. Modular LLM development. Why Prompt Engineering, RAG, Tools, and Fine-Tuning?

    19. RAG vs. Long Context Models: Is Retrieval-Augmented Generation Dead?

    20. Vector Databases Explained (vs traditional databases & alternatives)

    21. What is Indexing? Indexing Methods for Vector Retrieval

    22. Retrieval Augment Generation 101

    23. Hands-On: Exploring Retrieval-Augmented Generation (RAG) with ChatGPT

    24. LLM Framework Options; LangChain vs. LlamaIndex vs. OpenAI Assistants

    25. Part 2: Quiz 3

    26. Fine-Tuning 101

    27. Essential Non-Technical Skills for Effective LLM Development

    28. Part 2: Quiz 4

    1. Part 3 Overview: Domain-Specific Applications

      FREE PREVIEW

    2. To use a LLM or to not use it?

    3. No code Agent Builder Platforms

    4. Writing a Prompt for a Course Tutor Chatbot

    5. Hands-on: Enhancing Chatbot Responses with Follow-Up Suggestions

    6. How to Properly Leverage AI for Research

    7. The Right Way to Use AI for Lesson Writing

    8. Editing with AI: How ChatGPT and Claude Enhance Your Writings

    9. Part 3: Quiz 1

    10. Example: Quiz Creation with ChatGPT

    11. Hands-on: Quiz Creation with ChatGPT

    12. Example: Writing a Lesson with NotebookLM - A Feature Exploration

    13. Hands-on: Leveraging AI for Research and Lesson Writing

    14. Designing an LLM-based App: Architecture Diagrams and Cost Estimates

    15. Hands-on: Designing a Chatbot for Online Course Assistance

    16. Part 3: Quiz 2

    17. Last Words (and certification!)

About this course

  • $199.00
  • 56 lessons

Course Overview

  • AI Simplified with Hands-On Practice

    Cut through the buzz and understand what AI can actually do for your business, avoiding the common pitfalls of over-promising technologies. Learn AI and Machine Learning in a no-code environment, gaining a clear understanding of how AI and Large Language Models (LLMs) function.

  • Industry-Specific AI Strategies

    Explore real-world applications and case studies to understand how AI is reshaping your industry. Walk away with a toolkit of real-world AI use cases specific to your industry. You will know how to apply AI to boost efficiency, reduce costs, and drive innovation in your sector.

  • Customized AI Solutions for Your Business

    Understand when and how to tailor AI solutions specifically for your team’s needs, making you a valuable resource in spearheading AI-driven projects. Learn how to use powerful AI tools like ChatGPT to automate tasks, improve customer interactions, and streamline workflows—all without writing a single line of code.

What This Course Can Do for You

  • Boost Efficiency

    Learn how companies like Klarna have saved millions using AI and how you can implement similar strategies. You will also work with tools like ChatGPT to streamline processes and improve efficiency.

  • Enhance Team Capabilities

    Train your team to effectively utilize AI tools that can handle complex workflows, saving time and increasing productivity. You will automate tasks and streamline workflows.

  • Spot Opportunities

    Identify where AI fits into your sector, whether it’s enhancing funnels, optimizing operations, or transforming product development. You will apply AI to reduce costs and drive innovation in your sector.

Course Prerequisites

No Specific Technical Background Required. Many of the LLM Developer skills taught can now be implemented in some form with no-code tools, however more powerful customisation normally requires Python, Typescript or other software languages.

Unlock what’s possible with AI for your workflow

Claim Your Spot!

Are You Late to the AI Wagon?

It’s easy to feel like you’ve missed the boat with AI. Everywhere you look, LLMs like ChatGPT are transforming industries, and the experts seem miles ahead. You might wonder: Is it too late to catch up?

The truth is AI adoption is still in its early stages, and there’s no better time to start. By learning how LLMs work and how to build with them now, you’re gaining a first-mover advantage in a field that’s only going to grow.

Those using today’s models are best placed to take advantage of tomorrow’s breakthroughs!

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FAQ

  • Is this course paid?

    Yes

  • Will I get a certificate upon completion?

    Yes, you will receive a Towards AI certificate upon completion.

  • Can I get a discount?

    Yes, there are three ways to receive a discount on our courses. If you're a student, we offer a 50% discount on all courses. Additionally, if you've previously purchased our book or another course, you're eligible for a discount. We also provide a bundle discount for groups of two or more people. For further details or to claim your discount, please email Louis-François at [email protected] for a follow-up.

  • How long does this course take to complete?

    This is a self-paced course, but the average course completion time is 8 hours.

  • Do I need any technical background for this course?

    You do not need to know a specific programming language to take this course but the course is designed for Software Professionals as languages such as Python, Typescript, JavaScript (Node.js), Java, C# and Go are needed to get the most out of LLM Development techniques. Different LLM model platforms and Frameworks vary in which languages they support. Python generally has the broadest compatibility in the LLM ecosystem.

  • What real-world skills will I gain from this course?

    You’ll learn how to implement AI tools like ChatGPT, customize AI solutions for your company, and lead AI-driven projects that improve efficiency and boost profits.

  • Do you have a referral or affiliate program?

    For every referral you provide, you’ll gain access to our exclusive eBook. If you refer three or more people, we’ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-François at [email protected] with proof of referral.

  • Can I take this course within my company?

    Yes we partner with companies to offer this course more broadly to teams at companies and can even customise the content. Please reach out if you want to customise the course or to offer the course to a corporate team.