NEW Agentic AI Engineering Guide: The 6 mistakes breaking production agents and how to fix them.
A free 6-day email course. 3+ years of production experience distilled into actionable lessons.

What Students Are Saying About Agentic AI Engineering

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

Very engaging course on Agentic AI Engineering

Sai Deepak Namburu

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.

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.

Read Less
5 star rating

Production-Grade Agentic AI Starts Here

Sean Myers

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 ...

Read More

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.

Read Less
5 star rating

Amazing

Al Bundy

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 w...

Read More

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!!

Read Less
5 star rating

Excellent course, highly recommended

Cathal Curtin

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...

Read More

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.

Read Less
5 star rating

Excellent course to strengthen fundamentals and best practices in Agentic AI

Daniel Velasquez

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 g...

Read More

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.

Read Less
5 star rating

A comprehensive course!

Indraneel Rao

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 ...

Read More

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!

Read Less
5 star rating

Great course

Ahmed Medhat

Every AI Engineer needs course like that.

Every AI Engineer needs course like that.

Read Less
5 star rating

AMAZING CONTENT

Shadrack Darku

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

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

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
5 star rating

Amazing Course

Nelson Pullella

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 ...

Read More

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.

Read Less
5 star rating

A blueprint for Agentic AI systems

Ritesh Sinha

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. ...

Read More

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.

Read Less

To Agent or Not to Agent?

Most developers get stuck in three places when building agents. We teach you to navigate all three.

  • 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.

What You'll Build

Two production agents and the complete engineering system through hands-on capstone projects.

  • Research Agent

    Build an autonomous research system to synthesize structured research notes. You'll implement:


    • Multi-source data collection – crawl websites, GitHub repositories, and YouTube videos
    • ReAct reasoning loops – iterative research patterns
    • Tool orchestration – integrate Firecrawl, gitingest, Gemini, and Perplexity via function calling
    • Multi-round research cycles – automated query generation and refinement
    • Human-in-the-loop feedback – user-approved query workflows
  • Writing Workflow

    Transform research into publication-ready content with multi-modal outputs. You'll implement:


    • Multi-modal generation – text, Mermaid diagrams, and images
    • Chain-of-thought prompting – coherent long-form content generation
    • Evaluator-optimizer patterns – automated quality control loops
    • Orchestrator-worker architecture – context engineering for style control
    • MCP-based editing tools – real-time collaboration with Cursor
    • LangGraph workflows – production pipeline orchestration
  • Agent Architecture

    Master the complete production stack for AI agents, from foundations to deployment. You'll implement:


    • Durable workflows – LangGraph's functional API for stateful orchestration
    • Custom evaluation frameworks – LLM judges and alignment scoring
    • Opik monitoring – debugging and tracing non-deterministic behavior
    • Production deployment – Docker, Cloud Run, CI/CD pipelines
    • Authentication & state – Descope integration and Cloud SQL management
    • Integration patterns – deploy to Cursor, Claude, or custom implementations

Build Your First Agent This Week


󠁯•󠁏 Own two agents, fully production-ready
󠁯•󠁏 Gain portfolio-ready skills with certification
󠁯•󠁏 Master fundamentals that outlast trends

Self-paced learning • Regular updates • Risk-free enrollment
5 star rating

Must Have course to learn Agentic AI Engineering

Vinay Gupta

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.

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.

Read Less
5 star rating

Complicated topic presented very well

Mark Chase

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 o...

Read More

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.

Read Less
5 star rating

Practical Minimum Viable Learning Path

abhijeet choudhari

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.

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.

Read Less
5 star rating

An excellent course on Agentic Engineering

Luong Nguyen Dinh

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...

Read More

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!

Read Less
5 star rating

A Practical, Production-Grade Guide to Agentic Engineering

Shekhar Tanwar

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 workfl...

Read More

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.

Read Less
5 star rating

Best Resource on Agentic AI

Hemkumar Poosala

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 ...

Read More

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.

Read Less
4 star rating

TLDR Foundations to Agent AI Eng

Jose-Alberto Salazar-Jimenez

The course gives the foundations necessary to understand what agent AI eng is about

The course gives the foundations necessary to understand what agent AI eng is about

Read Less

Course Curriculum

    1. Lesson 12: Central Project: Scope & Design

    2. Lesson 13: Agent Frameworks Overview & Comparison

    3. Lesson 14: LLM Agent System Design Considerations and Framework

    4. Running the Agents

    5. Quick Quiz 4

    1. Lesson 15: Nova End-to-End Project Walkthrough

    2. Lesson 16: Foundations of Agentic Systems with FastMCP

    3. Lesson 17: Initial Data Ingestion and Tooling

    4. Lesson 18: The Research Loop: Query Generation, Perplexity, and Human Feedback

    5. Lesson 19: Final Outputs and Agent Completion

    1. Lesson 20: Brown End-to-End Project Walkthrough

    2. Lesson 21: Behind the Scenes of Iterating AI Architectures with the Brown Writing Agent

    3. Lesson 22: Implementing the Foundations of the Writing Workflow

    4. Lesson 23: Reviewing and Editing Through the Evaluator-Optimizer Pattern

    5. Lesson 24: Human-in-the-Loop Through MCP Servers

    6. Lesson 25: Orchestrate and Integrate Our Capstone Agents

    7. Lesson 26: End-to-End Demo: Generating a Course Lesson

    1. Lesson 27: Agent Observability with Opik

    2. Lesson 28: Creating Datasets for AI Evals

    3. Lesson 29: Defining the Evaluation Processes and Metrics Theory

    4. Lesson 30: Evaluating the Writing Workflow

    5. Lesson 31: Continuous Integration for AI Engineering

    6. Lesson 32: Preparing For Deployment: Authentication and Docker

    7. Lesson 33: Preparing For Deployment: Database and File Download/Upload

    8. Lesson 34: Continuous Deployment for AI Engineering

    1. Part 4: Building Your Own MCP Server (To Receive Certification)

    2. Part 4: Project Submission

    3. Share your success and showcase your new skills!

About this course

  • $499
  • 34 Lessons

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 [email protected]

How It Works

Project-based learning designed for working professionals—self-paced with live instructor support.

  • Self-Paced + Live Introductory Cohort Calls: Learn on your schedule with lifetime access. Join introductory cohort calls with instructors and fellow course takers.

  • Learn by Building: Hands-on projects from day one. Build two production agents from scratch, not toy examples or follow-along tutorials.

  • Active Discord Community: Get unstuck fast. Connect with fellow builders, share progress, and collaborate on projects in an active engineering community.

  • Certificate Upon Completion: Prove you built and deployed production AI. Graduate with certification backed by two real systems—portfolio-ready proof you ship.

  • Lifetime Access + Updates: All current content plus future updates as AI evolves. Your investment stays valuable.

  • Money-Back Guarantee: 30-day full refund, no questions asked. Risk-free enrollment.

Who This Course Is For

Serious learners who want to sweat a bit and build cool shit.

  • Python: Comfortable with functions, classes, and API calls

  • LLMs: Familiar with OpenAI/Claude APIs and basic prompting

  • Docker & Cloud: Understand containerization and deployment basics

  • Skill Level: Intermediate to advanced, expect a challenge

  • Mindset: Learn by building, not watching tutorials

Brought to you by


Towards AI's mission is to make "building with AI" more accessible.
 Since 2019, we have helped teach over 400k about AI with our courses, blogs, tutorials, books, community, and personalized consultancy.



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.

Build 'Truly' Autonomous Features for Your Workflows, Company, and Product

FAQ

  • Will I get a certificate upon completion?

    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.

  • 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 [email protected] 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 [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].

  • 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.