Towards ai agentic AI engineering course was a wonderful learning experience. Joined it because I used to follow Paul Lustin and was a big fan of his writing. And the course didnt disappoint. It covered everthing about building agent apps ground up. Right from things like how to implement tool calling by hand, implementing ReAct loops, to skills that are neeeded for taking your app to production, like how to do evals and deploy to production using ci\cd. Also both Paul and Louis-Francois were super responsive and helpful during the course for any questions or issues that we face. Highly recommended!
Indraneel Rao
Great course
Every AI Engineer needs course like that.
Ahmed Medhat
AMAZING CONTENT
This has trully been an awesome experience full hands-on with clear explanations and real world scenarious. It couldn't have been better. Great thing is videos are going to be added soon to enrich the whole experience. Highlyrecomend this course
The course is industry-focused, emphasizing real-world constraints rather than flashy demos, and it is highly hands-on.
Abreham melese
Amazing Course
Muy buen curso. completo. al grano. se repasan todos los aspectos de los agentes modernos y de sus crecientes capacidades. además se integran con otras herramientas y no queda afuera el deploy, monitoreo y evaluación de los agentes, cosa q es muy importante.
Nelson Pullella
A blueprint for Agentic AI systems
Towards AI's "Agentic AI Engineering" course stands out as a comprehensive resource for moving beyond basics to building enterprise level production agentic systems. It is industry-focused, emphasizing real-world constraints and reliability. It has full spectrum of Agentic AI from core concepts and tooling all the way to monitoring, and evaluation. The course offers practical hands-on approach rather than just theory. this course provides the foundation and deep technical knowledge required to succedd in the world with AI Agents.
Ritesh Sinha
Great value for agentic knowledge
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!
Victor Palomares
Very engaging course on Agentic AI Engineering
This course by far uses latest knowledge and tools to help learners acquire most of the thing on AI agents. Glad to be first learners.
Sai Deepak Namburu
Production-Grade Agentic AI Starts Here
This course goes far beyond theory, providing deep, practical experience in building agentic AI systems that actually hold up in production. It’s an excellent bridge from experimental LLM projects to real-world AI engineering, covering everything from architecture patterns to evaluation and reliability.
Sean Myers
Amazing
The course is great with a lot of fantastic information, going into the details and make things hands on an practical. The main project is particularly interesting and can be used to build future applications. I strongly recommend to anybody who want to get serious with agentic ai!!
Al Bundy
Excellent course, highly recommended
Excellent in depth handling of tradeoffs in evaluating and deploying agent based solutions. A useful mixture of theory and practice, learnt the hard way by expert practitioners. I've used a lot of the advice in building our enterprise practices to agent use in my organisation.
Cathal Curtin
Excellent course to strengthen fundamentals and best practices in Agentic AI
I am very satisfied with this course. It reinforces key Agentic AI concepts and helps consolidate best practices for designing and building agentic solutions in a more structured and professional way. The content is clear, practical, and well grounded in real-world scenarios, which makes it easier to take ideas into production. It is especially valuable for those who already have experience in AI/ML and want to improve how they design agents, decision flows, and more robust architectures. I highly recommend it to anyone looking to deepen their understanding and elevate the quality of their agentic solutions.
Daniel Velasquez
Where AI Engineers Get Stuck
Learn the discipline that turns LLM calls into reliable multi-agent systems.
Agents Work Locally, Break in Production
Build two production agents, fully deployed
Build Research Agent and Writing Workflow with full evaluation systems, observability, and deployment pipelines. These are production templates you can adapt for market research, content & report generation, diagrams, documentation, or any domain where autonomous intelligence and automations with agentic patterns add value.
Not Sure When Agents Are Worth It
Master the decision framework
Learn to design workflows that stay maintainable as requirements evolve. Master when to use deterministic routing versus agent autonomy, when to keep humans in the loop, and the patterns that scale from prototype to production.
Skills Get Outdated Fast
Build mental models, not framework knowledge
We teach system design fundamentals from scratch, not just today's frameworks. Graduate with two deployable agents, certification, and the engineering judgment to architect any AI system, regardless of which tools are trending next.
From Agent User to Agent Builder
Pure foundations from scratch, 4 mini projects, 2 production systems, deployed end-to-end
Structure Projectsuse a practical version of the clean architecture to structure Python projects easily understood by agentic coding tools such as Claude Code
connecting both agents into one multi-agent system
Multi-Agent Integration
Wire the research agent and writing workflow into a unified, orchestrated system. You'll implement:
Central Orchestrationcompose tools from both MCP Servers into a unified agentic system
This course has helped me a lot in understanding agentic engineering - from core concepts all the way to production deployment. I really love how Paul walk through the entire process of building agents and show how to adapt and improve by learning from mistakes. Thank the team for creating such a valuable course!
Luong Nguyen Dinh
A Practical, Production-Grade Guide to Agentic Engineering
This course goes beyond theory and focuses on how agentic systems are actually built in the real world, with clear explanations of design trade-offs, project structure, tool selection, context engineering, and evaluation loops. The code and workflows feel industry-standard, making it especially valuable for engineers looking to ship reliable, scalable agentic systems.
Shekhar Tanwar
Best Resource on Agentic AI
In this fastpaced world where the technology is changing very rapidly I was looking for Agentic AI course with real time projects which are not just notebooks and theory but shipped products so luckily i came to know about the course Agentic AI Engineering by Louis Bouchard and Paul Lusztin i was amazed by the way the course has been designed it has in depth concepts and practical implementations which was wonderful, planning to implement these skills in my job . I throughly enjoyed learning this course and i would recommend anyone who is looking out for Agentic AI course this will help them in their career .Amazing work Louis and Paul kudous to you both.Thanks for giving the wonderful oppurtunity.
Hemkumar Poosala
TLDR Foundations to Agent AI Eng
The course gives the foundations necessary to understand what agent AI eng is about
Jose-Alberto Salazar-Jimenez
Must Have course to learn Agentic AI Engineering
This is one of the best online course available on internet and I am really enjoying learning from this course and putting it into practice. Thanks Towards AI team for this course. Really grateful to you for the support.
Vinay Gupta
Complicated topic presented very well
Agentic engineering is a very complicated topic. There are many moving parts in the process of creating an agent. This course not only teaches you these parts, but also how to select which parts you want to use. I liked how they presented not only the reasons why to do something, but also any drawbacks of that option as well. You really get a clear understanding of the entire process.
Mark Chase
Practical Minimum Viable Learning Path
Theory and practical trade-off covered makes it complete. Diagram and code added to each further improved the clarity. Learning the book and this course should be good enough as foundation for anyone.
abhijeet choudhari
Course Curriculum
01Part 1: Foundations of Agents and Workflows17 items+
3Lesson 14: LLM Agent System Design Considerations and Framework
4Running the Agents
5Quick Quiz 4
03Part 2B: Building Agentic Systems; Building our Central Research Agent6 items+
1Lesson 15: Nova End-to-End Project Walkthrough
2Lesson 16: Foundations of Agentic Systems with FastMCP
3Lesson 17: Initial Data Ingestion and Tooling
4Lesson 18: The Research Loop: Query Generation, Perplexity, and Human Feedback
5Lesson 19: Final Outputs and Agent Completion
6Quick Quiz 5
04Part 2C: Building Agentic Systems; Building our Central Writing Workflow8 items+
1Lesson 20: Brown End-to-End Project Walkthrough
2Lesson 21: Behind the Scenes of Iterating AI Architectures with the Brown Writing Agent
3Lesson 22: Implementing the Foundations of the Writing Workflow
4Lesson 23: Reviewing and Editing Through the Evaluator-Optimizer Pattern
5Lesson 24: Human-in-the-Loop Through MCP Servers
6Lesson 25: Orchestrate and Integrate Our Capstone Agents
7Quick Quiz 6
8Lesson 26: End-to-End Demo: Generating a Course Lesson
05Part 3: Evaluation, Observability, Optimizations, and Deployment10 items+
1Lesson 27: Agent Observability with Opik
2Lesson 28: Creating Datasets for AI Evals
3Lesson 29: Defining the Evaluation Processes and Metrics Theory
4Lesson 30: Evaluating the Writing Workflow
5Quick Quiz 7
6Lesson 31: Continuous Integration for AI Engineering
7Lesson 32: Preparing For Deployment: Authentication and Docker
8Lesson 33: Preparing For Deployment: Database and File Download/Upload
9Lesson 34: Continuous Deployment for AI Engineering
10Quick Quiz 8
06Part 4: Instructions for Students Capstone Project and Certification3 items+
1Building Your Own MCP Server (To Receive Certification)
2Project Submission
3Share your success and showcase your new skills!
07Extra Tools1 item+
1AI Tutor: Ask any question!
How It Works
Self-paced project-based learning designed for working professionals.
01
Self-Paced + Instructor Support
Learn on your schedule with lifetime access. Join dedicated Discord channels with instructors and fellow course takers.
02
Learn by Building
Hands-on projects from day one. Build two production agents from scratch, not toy examples or follow-along tutorials.
03
Active Discord Community
Get unstuck fast. Connect with fellow builders, share progress, and collaborate on projects in an active engineering community.
04
Certificate Upon Completion
Prove you built and deployed production AI. Graduate with certification backed by two real systems and portfolio-ready proof you ship.
05
Lifetime Access + Updates
All current content plus future updates as AI evolves. Your investment stays valuable.
06
Money-Back Guarantee
30-day full refund, no questions asked. Risk-free enrollment.
Risk-Free Learning: 30-Day Money-Back Guarantee
If you explore the early part of the course and feel it’s not what you need, you can request a refund within 30 days by emailing us at louis@towardsai.net
For software engineers, data engineers, data scientists transitioning into AI Engineering
01Python: Comfortable with functions, classes, and API calls
02LLMs: Familiar with OpenAI/Claude APIs and basic prompting
03Docker & Cloud: Understand containerization and deployment basics
04Skill Level: Intermediate to advanced, expect a challenge
05Mindset: Learn by building, not watching tutorials
Brought to you by
Towards AI
Towards AI's mission is to make "building with AI" more accessible. Since 2019, we have helped teach over 500k about AI with our courses, blogs, tutorials, books, community, and personalized consultancy.
Co-instructor
Paul Iusztin
After shipping 21 AI apps, Paul Iusztin has used his best-selling LLM Engineer's Handbook, Decoding AI Magazine, and social media platforms to lead 162,000+ AI engineers out of "demo purgatory" and into production-grade engineering.
Yes, you will receive a Towards AI certificate upon completion.
How does it compare to your "Full Stack AI Engineering" course? +
The Full Stack AI Engineering course teaches the complete LLM product stack including RAG, fine-tuning, deployment, and agents through one central AI product. The Agents course goes much deeper into designing, orchestrating, evaluating, and deploying production-grade autonomous systems. If Full Stack teaches you how to build an AI product, Agents teaches you how to engineer the autonomy inside it. Compare the Full Stack course.
What projects will I work on? +
You'll build two interconnected production agents from the ground up: a Research Agent and a Writing Workflow, with human-in-the-loop capabilities, while mastering the foundations of agentic architecture.
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.
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 louis@towardsai.net with proof of referral.
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 louis@towardsai.net 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 louis@towardsai.net.
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.
