From Prompting Models to Engineering Agents
Become an Agent AI Engineer who designs production-ready systems and leave with an AI agent portfolio that proves 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!
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 LessThis 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 LessThis 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 MoreThis 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 LessThe 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 MoreThe 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 LessExcellent 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 MoreExcellent 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 LessI 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 MoreI 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 LessTowards 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 MoreTowards 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 LessEvery AI Engineer needs course like that.
Every AI Engineer needs course like that.
Read LessThis 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 LessThe 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 LessMuy 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 MoreMuy 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 LessTowards 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 MoreTowards 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 LessLearn the discipline that turns LLM calls into reliable multi-agent systems.
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.
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.
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.
Before
Retail Loss Prevention & Analytics
→
After
Sr. Solutions Architect, AI
What made the difference
Repeated exposure to core concepts, practical implementation, structured projects, and a progression from LLM fundamentals into production-grade agent engineering.
Certification capstone
Knowledge Assistant MCP Server - FastMCP, ChromaDB, RAG, citations, human-in-the-loop, multi-agent coordination.
"The curriculum gave me structure, but it also required application. That foundation became part of a larger career transition."

Sean Myers
Course Graduate
that go deeper than frameworks
The mechanics behind agents, workflows, and every tool you'll use in production - taught with code.
building the core patterns from scratch and first principles
Put every foundation to work - four small builds before production begins:
your first production system
Build an autonomous deep research system to synthesize structured research notes. You'll implement:
your second production system
Transform research into publication-ready articles or lessons. You'll implement:
connecting both agents into one multi-agent system
Wire the research agent and writing workflow into a unified, orchestrated system. You'll implement:
ship, monitor, and maintain
Everything that separates a demo from production. You'll implement:
build your own MCP server
Ship a portfolio-ready AI project from idea to demo:
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 LessAgentic 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 MoreAgentic 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 LessTheory 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 LessThis 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 MoreThis 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 LessThis 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 MoreThis 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 LessIn 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 MoreIn 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 LessThe 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 LessLesson 0: Build a Research and Writing Agent with MCP
FREE PREVIEWLesson 1, Part 1: The AI Engineer & The Agent Landscape
FREE PREVIEWLesson 1, Part 2: Inside the Systems You Build
FREE PREVIEWLesson 1, Part 3: How to Run the Code Exercises
FREE PREVIEWLesson 2: LLM Workflows vs. AI Agents -The AI Engineer's Dilemma
FREE PREVIEWLesson 3: Context Engineering
FREE PREVIEWLesson 4: Structured Outputs
FREE PREVIEWQuick Quiz 1
FREE PREVIEWLesson 5: LLM Workflow Patterns
FREE PREVIEWLesson 6: Tools
FREE PREVIEWLesson 7: Planning and Reasoning
Quick Quiz 2
Lesson 8: ReAct Practice
Lesson 9: RAG Focus
Lesson 10: Memory for Agents
Lesson 11: Multimodal Data
Quick Quiz 3
Lesson 12: Central Project: Scope & Design
Lesson 13: Agent Frameworks Overview & Comparison
Lesson 14: LLM Agent System Design Considerations and Framework
Running the Agents
Quick Quiz 4
Lesson 15: Nova End-to-End Project Walkthrough
Lesson 16: Foundations of Agentic Systems with FastMCP
Lesson 17: Initial Data Ingestion and Tooling
Lesson 18: The Research Loop: Query Generation, Perplexity, and Human Feedback
Lesson 19: Final Outputs and Agent Completion
Quick Quiz 5
Lesson 20: Brown End-to-End Project Walkthrough
Lesson 21: Behind the Scenes of Iterating AI Architectures with the Brown Writing Agent
Lesson 22: Implementing the Foundations of the Writing Workflow
Lesson 23: Reviewing and Editing Through the Evaluator-Optimizer Pattern
Lesson 24: Human-in-the-Loop Through MCP Servers
Lesson 25: Orchestrate and Integrate Our Capstone Agents
Quick Quiz 6
Lesson 26: End-to-End Demo: Generating a Course Lesson
Lesson 27: Agent Observability with Opik
Lesson 28: Creating Datasets for AI Evals
Lesson 29: Defining the Evaluation Processes and Metrics Theory
Lesson 30: Evaluating the Writing Workflow
Quick Quiz 7
Lesson 31: Continuous Integration for AI Engineering
Lesson 32: Preparing For Deployment: Authentication and Docker
Lesson 33: Preparing For Deployment: Database and File Download/Upload
Lesson 34: Continuous Deployment for AI Engineering
Quick Quiz 8
Part 4: Building Your Own MCP Server (To Receive Certification)
Part 4: Project Submission
Share your success and showcase your new skills!
Self-paced project-based learning designed for working professionals.
Self-Paced + Instructor Support: Learn on your schedule with lifetime access. Join dedicated Discord channels 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 and 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.
For software engineers, data engineers, data scientists transitioning into AI Engineering
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
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.
• Stop calling LLMs. Start engineering agents.
• Own two agents, fully production-ready
• Gain portfolio-ready skills with certification
• Master fundamentals that outlast trends
Yes, you will receive a Towards AI certificate upon completion.
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.
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.
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.
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, 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.
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].
If you feel the course isn’t right for you, we’ll provide a 100% refund within 30 days—no hassle, no worries.