The Market Has Now Shifted Permanently

Companies are hiring for AI engineers who can build, deploy and maintain agentic AI systems in production.

  • 3x Growth in AI Engineer Job Postings Since 2023


    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.

  • $185k Market Salary for AI Engineering Roles


    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.

  • 74% of Eng. Teams Ready to Deploy Agents n 2025


    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

Three production-ready capstone projects you can demo to employers, use in your work, or deploy for clients.

  • 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 Working Agent in Week 1


󠁯You won't spend weeks on theory before touching code. By the end of your first week:

• Deploy two working agents to production
• Understand core agent configuration patterns.
• Master the fundamentals by building, not reading or watching tutorials

Course Curriculum

Part 1: Foundations of Workflows and Agents

Part 2: Agentic Techniques & Building Agentic Systems

Part 3: Evaluation, Observability, and Production Engineering

Part 4: Your Capstone Project


What Early Course Takers Are Saying

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!

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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!

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5 star rating

Great course

Ahmed Medhat

Every AI Engineer needs course like that.

Every AI Engineer needs course like that.

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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

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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.

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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.

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

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 Is This Course For?

Anyone with a basic understanding of Python and the drive to build production AI.

  • Developers

    You're building traditional software but want to add autonomous AI features. You understand APIs and system integration, but need to learn agent orchestration, evaluation frameworks, and how to deploy AI that runs reliably in production.

  • Serious AI Learners

    You've experimented with LLMs and built demos, but don't know how to make systems production-ready. You're looking for the engineering patterns, testing practices, and deployment strategies that turn prototypes into scalable solutions.

  • Career Pivoters

    You have solid coding fundamentals and see the AI opportunity, but lack hands-on experience building agentic systems. You need a structured path to transform your existing skills into AI Engineering expertise that employers recognize.


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.

FAQ

  • Is this course paid?

    Yes

  • Will I get a certificate upon completion?

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

  • 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.

  • 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 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.