Most courses stop at building toy notebooks. Here, you’ll learn to architect, evaluate, and deploy AI agents that solve real business challenges-factoring in security, scalability and operational costs. You’ll master not just the “how”, but the “when” and “why” behind agentic AI, with a special focus on software engineering, observability and scalability best practices.

Production-Ready, Not Just Toy Projects

Starting on the first day of this course, this is what you will work on:

✅ Building agentic apps with OpenAI Agents SDK

✅ Building observability pipelines with OpenTelemetry and Phoenix Arize to track what your agents are doing and understand why

✅ Containerizing and deploying your agentic application using Docker and FastAPI

✅ Implementing robust guardrails, so that responses from your agents are relevant and not prone to hallucination or prompt injection attacks

✨ Biggest differentiators of this course

Hands-On Product Development

From day one, you’ll build a real-world agentic product, guided by step-by-step tutorials. You’ll gain practical experience that goes far beyond theory

Free OpenAI Credits

Get USD 400 in free GPT 4.1 credits as soon as you enroll into this course

Individual Coaching Sessions

Feel free to schedule 30 minute individual sessions with me every week. You will get direct, personalised help, making sure you never lose momentum.

Industry Guest Lectures & Expert Workshops

Learn directly from the people shaping the future of AI. This cohort features guest lectures and workshops with industry experts, bringing you what's newest in AI Agent features for developing, evaluating and deploying AI Agents.

Capstone Project: From Idea to Production

You’ll connect best practices with hands-on implementation. For your capstone, you’ll design, evaluate, and deploy a production-grade AI agent. You will showcase your ability to bridge the gap between theory and enterprise impact.

Is this course for me?

👉🏻 If you have ever struggled with any of the following challenges:

🔹 Prototype Graveyard: You have built simple AI demos that never made it to production

🔹 Evaluation Paralysis: You struggle to measure if your agents are actually performing well

🔹 Security Vulnerabilities: You need to mitigate the risk that your agents are exposed to prompt injection attacks

🔹 Availability & Resiliency: You want to prevent agentic AI products from breaking after being deployed

Then yes, this course is for you.

🚀 What you will have built by the end of this course

✅ An end-to-end multiagent RAG system with clear agent scopes, tool calls and guardrails

✅ A production-deployed AI agent with a public URL you can share with employers

✅ Comprehensive observability pipelines to keep track of your agent's metrics and availability

✅ Portfolio-ready project demonstrating end-to-end agent development capability

🚀 Tools you will use

🦾 OpenAI Agents SDK for robust multiagent application development and orchestration

⚡️ Redis for lightning fast agentic memory implementation

📊 Phoenix Arize for end-to-end agent observability and evaluation

⚙️ Github Actions for seamless CICD pipeline orchestration

🐳 Docker for containerization and reproducible development

✨ FastAPI for rapid Python backend development

🟢 Who this course is for

1. Software Engineers, Machine Learning Engineers, and Data Scientists

You have solid experience with data pipelines and classical ML problems. You’re ready to integrate large language models into agent architectures, build workflows using tool integrations, memory management, and task planning for practical AI systems.

2. Product Managers and AI Strategists

You translate business objectives into technical solutions. You want to understand how to define AI agent functionalities from product requirements, establish meaningful success metrics, and effectively collaborate with engineering teams to deliver scalable, user-centric agent applications.

3. Tech Leads and Backend Developers

You oversee complex systems involving multiple AI agents and services. You seek to master best practices for orchestrating, monitoring, and scaling agent workflows that run reliably in production environments.

🔴 Who this course is not for

1. Absolute Beginners in Programming or Software Development

This course assumes proficiency in Python and coding fundamentals. If you’re new to programming, start with foundational development courses before progressing here.

2. People looking for research heavy content

This practical course leverages pre-built language models and focuses on implementation, not on transformer internals, model training, or research heavy topics.

3. No-Code or Low-Code Developers

This program is code-centric, involving APIs and orchestration through programming libraries. If you prefer drag-and-drop or visual tools, this course may be more technical than expected

💸 Course Value vs Investment

Total Value: $3200 vs Investment: $1000

🔷 Live and on-demand training to help you design, build and deploy real AI Agent Apps

($1000 value)

🔷 Personalized support via Slack plus weekly 1x1 sessions (30 min x 4)

($800 value)

🔷 Free OpenAI Credits

($400 value)

🔷 Complimentary Access to All Future Cohorts

($1000 value)

Student Testimonials

🚀 "I truly appreciate our trainer Rafael. He has outstanding experience in AI, and I’m really glad to have him as my mentor. I’ve learned so much from his training sessions and the 1:1 online guidance. He clarified my doubts and explained how to build robust agentic AI systems with best practices something you normally don’t get from other courses. I’m definitely going to enroll in the upcoming programs. I highly recommend this program to anyone who wants to gain broader and deeper knowledge in AI."

🚀 "Glad to be in the first cohort! Agents development, functional tasks, openai SDK, evaluation techniques, observability and much much more. Thank you Rafa!"

🚀 "Got good understanding on how to build agentic apps. Best part of this course is the observability platform."

Ready to go beyond the PoC? Join us and build AI agents that matter-powered by real-world tools, enterprise best practices, and the support you need to succeed.