8-hour Generative AI Primer for Software Professionals
Master, Use and Build with LLMs in this Programming Language Agnostic Course
Learn to transform your workflow, team, and industry with LLMs
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).
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.
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.
“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 MilaThis 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.
Coming soon!
Check out the first lessons for free as a preview to help you decide!
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.
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.
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.
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.
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!
Yes
Yes, you will receive a Towards AI certificate upon completion.
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.
This is a self-paced course, but the average course completion time is 8 hours.
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.
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.
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.
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.