Pre-sales are now closed. Expect more news during the summer!
Build 'Truly' Autonomous Features for Your Workflows, Company, and Product
Project-driven, self-paced, & regularly updated!
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Master AI Engineering Stack (Application, Model, Infra)
You’ll learn to think like an AI Engineer — building, deploying, evaluating, and maintaining robust, scalable, and integrated AI systems. We’ll train you to operate across the full stack: Application, Model, Evaluation, and Infrastructure.
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Learn Fundamentals of AI agents
Understand what makes an agent agentic. You’ll learn core patterns like planning, reasoning, tool use, and memory, and how to apply them in real architectures. You’ll also learn when not to use agents and why that distinction matters.
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Build Production-Ready Agents
Through capstone builds — a Research Agent and a Writing Agent — you’ll go deep into design, integration, orchestration, and deployment. These won’t be playground demos. They’ll be production-grade agents that handle real complexity.
What You'll Master
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The AI Engineering Mindset — how to build, debug, and maintain agentic systems that actually ship.
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Full-Stack AI Integration — working across the Application, Model, Evaluation, and Infrastructure layers.
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Agentic Reasoning Loops — implementing patterns like ReAct, Plan-and-Execute, and self-correction.
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Tool Use & Function Calling — enabling agents to interact with code, search, APIs, and external systems.
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Certification Upon Completion with Your Own Working LLM RAG Project
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Instructor and Community Access for Learning and Support
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Get VIP access to our internal Slack channel for mentorship and discussions to enhance your learning experience.
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Weekly Course Updates — We continuously improve and expand the course with new content, techniques, and insights to keep you ahead of the curve.
Deploy Systems That Think and Do.
This course trains you to design, evaluate, and ship agents that power workflows, assist users, and scale intelligently — not just answer questions.
Risk-Free Learning: 30-Day Money-Back Guarantee

Eager to start now? Become certified LLM Developer!
Get our 10-hour dev-to-GenAI transition primer and our complete 60-hour LLM Developer programs in the mean time!
What Our Course Takers' Say About Us
Excellent course
Martin Ballard
The course covers an immense amount of information. I feel like I really learned a ton about working with LLMs and how to develop and deploy my own applications.
The course covers an immense amount of information. I feel like I really learned a ton about working with LLMs and how to develop and deploy my own applications.
Read LessFrom Beginner to Advanced LLM Developer
Boonchiat Tan
"This course is fantastic! The content is well-curated, making it easier to learn the techniques quickly. Great job! Thanks again!"
"This course is fantastic! The content is well-curated, making it easier to learn the techniques quickly. Great job! Thanks again!"
Read LessHighly Recommend This Course
Farhad Dalirani
This course is highly valuable. You can learn a lot about different critical aspects of LLMs and RAG. Before taking it, I used to wander through endless resources, most of which were, in fact, low quality. The course is fantastic, and I highly rec...
Read MoreThis course is highly valuable. You can learn a lot about different critical aspects of LLMs and RAG. Before taking it, I used to wander through endless resources, most of which were, in fact, low quality. The course is fantastic, and I highly recommend it to everyone. One of the things I love about the course is that it’s not just a series of video lectures; it includes many code notebooks with detailed explanations, allowing you to learn by coding and engaging, which is the best approach. In order to create a good generative AI app with LLMs, a person should be knowledgeable about various topics, such as effective prompting, choosing the right tools, data collection and curation, working with various modalities, vector databases, query engines, building RAG systems for different needs, creating agents with tools like internet search, understanding various cloud and API providers, working with local LLMs, evaluation methods, deploying efficiently using techniques like quantization and caching, among many other related topics. This course covers ALL of them. Moreover, the support of creators have been great, I noticed a few minor issues in the code examples, which were fixed when I pointed them out!
Read LessUnderstanding the basics of LLMs without math
Tiamiyu Hamzat
To be honest, this course is completely different from other courses on LLM I have seen out there. This course is fully packed with lots of knowledge, advanced techniques and skills to build a successful LLM project. I am glad I did not hesitate t...
Read MoreTo be honest, this course is completely different from other courses on LLM I have seen out there. This course is fully packed with lots of knowledge, advanced techniques and skills to build a successful LLM project. I am glad I did not hesitate to purchase this course.
Read Lessgreat course
Danny Vaks
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 LessExceptional course with in-depth resources
Vitor Ramos
This course stands out for its exceptional structure and quality of references that truly deepen the learning experience. The materials are carefully curated and provide a comprehensive foundation that encourages further exploration of the topics ...
Read MoreThis course stands out for its exceptional structure and quality of references that truly deepen the learning experience. The materials are carefully curated and provide a comprehensive foundation that encourages further exploration of the topics covered. Each reference not only supports the lessons but also enriches understanding, making complex concepts accessible and engaging. The overall course design is well-organized, ensuring that learners can easily navigate through the content and achieve their learning goals. Highly recommended for anyone looking to expand their knowledge with quality resources.
Read LessA must have book and training course for LLM Developers and Data Science Students
Badshah Mukherjee
I find the book and training videos a must-have for anyone interested in learning about LLMs and developing a career in them. I have recommended them to my students in Data Science and AI to accelerate their understanding and build MVPs.
I find the book and training videos a must-have for anyone interested in learning about LLMs and developing a career in them. I have recommended them to my students in Data Science and AI to accelerate their understanding and build MVPs.
Read LessTruly practical from engineering perspective
Victor Palomares
Great tutorial. It is building concepts from the ground up. From an engineering perspective going through the code and running the examples helps to grasp a deep understanding. I find this is very practical and equips you with the tooling to face ...
Read MoreGreat tutorial. It is building concepts from the ground up. From an engineering perspective going through the code and running the examples helps to grasp a deep understanding. I find this is very practical and equips you with the tooling to face real world use cases.
Read LessFAQ
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Is this course paid?
Yes
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Will I get a certificate upon completion?
Yes, you will receive a Towards AI certificate upon completion.
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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.
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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.
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When will this course be available?
We are aiming for August 2025. Subscribe to our email list above to get updates!
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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.
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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.
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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].
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Our refund policy
If you feel the course isn’t right for you, we’ll provide a 100% refund within 30 days—no hassle, no worries.
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