Industry Leaders on Our Resources

Helps learners understand everything from fundamentals to the simple-to-advanced building blocks of constructing LLM applications. 
— Jerry Liu, Co-founder and CEO of LlamaIndex
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
Towards AI has done a great job assembling all of the technical resources needed by a modern GenAI applied practitioner.
— Sander Schulhoff, Founder and CEO of Learn Prompting
Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming.
— Pete Huang, Co-founder of The Neuron 


The AI Industry Has a People Problem

We're training the engineers it needs.

  • Foundation Models Are Just the Starting Point

    Learn to engineer what goes on top

    Master prompting, RAG, fine-tuning, tool use, and agents, and build the scalable systems foundation models alone can't deliver.

  • The Skill Gap Is Widening Every Quarter

    Build judgment that outlasts any framework

    Every program is built around production-grade projects, learn to handle failures, optimize at scale, and ship reliably, not just follow along in a notebook.

  • Enterprises Want AI. Engineers Are the Bottleneck.

    Get trained in exactly what they're hiring for

    A deployed product, a certified portfolio, and the skills enterprises are hiring for are built into every course.

Students have rated our courses ⭐ 4.8 out of 5

5 star rating

Great value for agentic knowledge

Victor Palomares

This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it!

This course starts with the basics, giving you a great foundation, and gradually build on more concepts until being able to deliver a enterprise-grade production-ready reliable agentic system. I fully recommend it!

Read Less
5 star rating

The most comprehensive LLM / AI engineering course out there

Carlo Casorzo

I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended

I am amazed about the thoroughness and clarity of this TowardsAI course. It really covers the whole spectrum of LLM engineering end-to-end, starting from the very basics and reaching a very deep level. 100% recommended

Read Less
5 star rating

Fantastic resource for getting into LLMs

Paul Iusztin

If you are interested in expanding your knowledge on the internals of LLMs, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, pas...

Read More

If you are interested in expanding your knowledge on the internals of LLMs, this course is one of the few within the AI space worth your time and money. I have closely worked with the Towards AI team and totally vouch for their deep expertise, passion and educational skills.

Read Less
5 star rating

Good Way to Start learning Python

James White

I have taken a few classes before but learning with AI has made the experience a lot better. I'm able to get instant help and the prompt guidance was great. Certainly beats the way I've learning programming languages in the past

I have taken a few classes before but learning with AI has made the experience a lot better. I'm able to get instant help and the prompt guidance was great. Certainly beats the way I've learning programming languages in the past

Read Less
5 star rating

Fantastic course for Software Developer/Engineering

Shiwang Singh

As an engineer, I wanted to dive into LLMs for a proof-of-concept(PoC) project, but I was missing a compact course that would help me quickly start building software and demonstrate a small PoC to stakeholders. This course gave me exactly the rig...

Read More

As an engineer, I wanted to dive into LLMs for a proof-of-concept(PoC) project, but I was missing a compact course that would help me quickly start building software and demonstrate a small PoC to stakeholders. This course gave me exactly the right insights to get started with building a RAG system in a practical way. Thanks, Louis-François, for the great course!

Read Less
5 star rating

Excellent Course for Serious Students

David Turner

I cannot say enough good things about the courses I have taken at the Towards AI Academy, including this one, and I can't recommend it highly enough for serious students looking for AI education and building!!

I cannot say enough good things about the courses I have taken at the Towards AI Academy, including this one, and I can't recommend it highly enough for serious students looking for AI education and building!!

Read Less
5 star rating

An Exceptional End-to-End LLM Engineering Course

Gino Sedano

The Full Stack Engineering course by Towards AI is truly exceptional because it doesn’t just teach you how to use LLMs—it trains you to design, build, and deploy real end-to-end systems. It starts by developing strong intuition, without unnecessar...

Read More

The Full Stack Engineering course by Towards AI is truly exceptional because it doesn’t just teach you how to use LLMs—it trains you to design, build, and deploy real end-to-end systems. It starts by developing strong intuition, without unnecessary math, about how LLMs work and why they fail, and then guides you step by step through building a complete RAG AI Tutor, covering prompting, basic and advanced RAG, evaluation, fine-tuning, embeddings, data scraping and cleaning, model selection across open and closed ecosystems, cost, privacy, and optimization. Everything is taught in a hands-on, practical way, including lessons learned from approaches that didn’t work and why, which closely mirrors real-world engineering. The course goes beyond notebooks: you finish by deploying your solution using FastAPI, Gradio, and Hugging Face Spaces, with clear guidance for production readiness. It also broadens your perspective with agents, frameworks like LangChain and LlamaIndex, observability, optimization, and a strong product and business mindset. It’s demanding, well structured, and firmly grounded in real-world practice—ideal if you want to move from experimenting with LLMs to building serious, production-ready solutions.

Read Less
5 star rating

Hands-On, Industry-Centered, Production-Ready Course

Abreham melese Booobnb

The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on.

The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on.

Read Less

Everything You Need to Build a Career in AI

Five programs: from your first line of Python to production-grade AI engineering.

Our Clients

You're in the Right Place If:

  • You want to ship a production-grade LLM product, not just run a notebook.

  • You want to be the AI engineer your company can't afford to lose.

  • You want a project, a portfolio, and certification you can stand behind.

  • You want to master LLMs, RAG, fine-tuning, and agents, end-to-end.

  • You're building toward a role, a product, or an AI initiative worth leading.

  • You're willing to put in the work that most developers won't.

Trusted by Professionals in the Field

“An indispensable guide for anyone venturing into the world of large language models...Covering everything from theory to practical deployment.”

Shashank Kalanithi, Data Engineer at Meta

“Contains thorough explanations and code for you to start using and deploying LLMs, as well as optimizing their performance. Very highly recommended!”

Luis Serrano, PhD, Founder of Serrano.Academy and author of Grokking Machine Learning

“This will be valuable to anyone looking to dive into the field quickly and efficiently.”

Jeremy Pinto, Senior Applied Research Scientist at Mila

“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 

Why Developers Choose Towards AI

  • Training Built for the Industry

    Created by 15+ Senior AI Engineer

    Built from what we implement for enterprise clients, you graduate with a deployed product, a certified portfolio, and the production experience to back it up.

  • Designed to Make Developers AI-First

    Training the engineers the AI economy needs

    Since 2019, our learners have moved into six-figure roles, launched startups, and led AI-first transformations, with a certified portfolio that proves what they can build.

  • Created for Working Professionals

    Community, lifetime access, and ongoing support

    Self-paced with lifetime access, live kick-off calls, weekly updates, and an 80k+ Discord community, so you can learn on your schedule without ever falling behind.

FAQ

  • Will I get a certificate upon completion?

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

  • What projects will I work on?

    You’ll work on building your own AI tutor, create RAG pipelines, and build your advanced LLM MVP. Each project is designed to solve real-world problems, ensuring you gain practical, hands-on experience.

  • What are the course prerequisites?

    Intermediate Python, basic GitHub knowledge, and a device you can set up a coding environment on. No prior AI or LLM experience needed.

  • When was this course created? Is it still up to date?

    The course was originally launched in 2025, but we update it every single week with new lessons, tools, and techniques as the AI landscape evolves. You’re not just buying a static course—you’re getting a living resource designed to keep you ahead.

  • How is this course different from other AI courses?

    Unlike many theoretical courses, this one is fully hands-on, project-based, and focused on the skills top companies are hiring for right now. We guide you through every step, ensuring you not only understand the concepts but can also apply them immediately.

  • What is the difference between Full Stack and Agentic AI engineering course?

    The Agents course is a deep dive into building production-grade autonomous systems. Full Stack AI Engineering is broader. You build a complete LLM product from data collection to RAG, fine-tuning, deployment, and business positioning, with agents as one component of the stack. If Agents is about mastering autonomy, Full Stack is about mastering the full AI product lifecycle.

  • Do you have a referral or affiliate program?

    Yes. Towards AI offers an Affiliate Program and Referral Program, enabling you to earn money (up to $70 per course & $180 for a bundle) and free access to our courses by promoting our top courses and the "Building LLMs for Production" eBook. Check the 'Affiliate' page linked in the header.

  • 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.

  • Can I take this course within my company?

    Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected].

Why Towards AI Academy?

Practical, industry-proven AI training that turns developers into AI engineers and anyone into an AI power user.

  • 100,000+ Learners Since 2019

    Certification That Opens Career Opportunities

    Our mission is simple: help individuals and companies join the group benefiting from AI. Since 2019, our learners have moved into six-figure roles, launched startups, and led AI-first transformations. Our certification courses are tangible proof of your capabilities in the job market.

  • In-Depth, Industry-Based Learning

    Taught by 15+ Industry Experts

    Our team has built cutting-edge LLM applications, delivered corporate AI bootcamps, and experimented daily with AI tools across diverse work tasks. Courses combine these real-world experiences into practical, production-scale workflows, covering the full process from idea to deployed system. You’ll learn what works, what doesn’t, and why.

  • Lifetime Access, Monthly Updates

    Self-Paced Learning, Always Updated

    We condense everything we’ve learned from building LLM agents, running enterprise projects, and constant AI experimentation into a single, evolving curriculum. Updated every month with new tools, methods, and case studies, our courses stay relevant as the field changes, so you never risk falling behind.

Risk-Free Learning: 30-Day Money-Back Guarantee

We curate every course with a practical-first approach, but we also know that learning is personal. If you find that a course isn’t the right fit, just let us know within 30 days, we’ll make it right with a full refund. No hard feelings.
Browse Courses

Why Learners Choose Us

  • Learn by building from day one

  • Comprehensive, production-grade systems training

  • 15+ AI engineers who build scalable AI systems as instructors

  • Updated monthly with new tools and methods

  • 80k+ Discord community and dedicated course channels

  • Certification valued by employers and clients

  • Priced for access and 30-day refund policy

Still Not Sure Which Course To Pick?

Get a sneak peek before committing with a free preview.

  • AI for Business Professionals

    Learn to use AI at work!

    From research to writing, data analysis and brainstorming - learn to think "AI first" and join those achieving huge productivity boosts in their day jobs.

  • Python Primer for GenAI

    Create a Python Tool from Scratch

    Build your first AI-powered Python project. No coding experience needed, test your skills and see how fast you can learn. Prepare to take our python based AI Engineering certification.

  • Master AI Engineering

    Forget fancy demos; build AI products that really work

    Every major company is rushing to integrate LLMs. Those who know how to build and scale them are becoming the most sought-after professionals in tech. Join the course designed to turn you into that expert.

Louie Peters

Towards AI Co-founder & CEO

My journey into AI began with a love for science fiction, which deepened with AlexNet's breakthrough in 2012. By 2018, convinced of AI’s transformative power, I transitioned to focus on AI startups. I’m especially passionate about using AI to advance biology, clean energy, and poverty solutions. As the CEO and Co-founder of Towards AI, my mission is to make AI accessible and impactful for individuals and organizations alike. Through our books, tutorials, and courses, I aim to bridge the gap between AI innovation and its practical application. I also write a weekly AI newsletter that connects with over 120,000 readers, keeping them informed on the latest developments in this rapidly evolving field. With a Physics degree from Imperial College and experience in Investment Research at J.P. Morgan, I bring a unique perspective on the disruptive social and economic impact of AI. My focus is on turning cutting-edge breakthroughs into real-world solutions that benefit society.

Louis-François Bouchard

Towards AI Co-founder & CTO

Louis-François Bouchard is the co-founder of Towards AI, where he builds and teaches a practical toolkit for shipping reliable LLM products. He co-authored Building LLMs for Production, a hands-on guide to prompting, fine-tuning, retrieval augmented generation, and evaluation. Through Towards AI Academy, he has launched multiple in-depth courses for AI engineers, designed to turn developers into AI professionals who can transform prototypes into scalable, customer-ready systems. He also runs the What’s AI YouTube channel and newsletter, translating new research and best practices into clear engineering playbooks for 70K+ subscribers and tens of thousands of readers. Today, he partners with founders and organizations on AI strategy, training design, and production workflows that raise accuracy, reduce risk, and make generative AI useful for paying customers, and he speaks at events such as Uphill Conf.