Skip to main content
CF

Become an Agentic Architect

7h 6m 56s
English
Paid

Become an Agentic Architect is a 28-lesson 7 hours 6 minutes self-paced course by Carmelo Iaria. You now work in a world where code is not the only focus.

Course facts

Lessons
28
Duration
7 hours 6 minutes
Level
All levels
Language
English
Updated
Instructor
Carmelo Iaria
Price
Premium

You now work in a world where code is not the only focus. More projects use smart agents, and they can handle many tasks for you. This course shows you how to work with them with clarity and control.

Why Agentic Skills Matter

The way you build software is changing fast. You no longer write every line by hand. You guide systems, make choices, and check the work of agents. Many teams now need engineers who can plan, set clear goals, and judge results with care.

Research from Anthropic shows that developers act more like coordinators. You shape tasks, adjust workflows, and make sure the system solves the right problem. The gap between people who know how to do this and those who do not is growing.

What This Course Gives You

This course is hands-on. You build real agent systems, not abstract demos. You learn how to use CrewAI and the AAMAD framework to plan, build, and ship a full multi‑agent app.

You complete a final Capstone project where you design and run your own system. You also get live coaching to help you understand each step. You learn a clear method for context work and agent control so your systems stay stable and easy to reason about.

Who teaches Become an Agentic Architect? Carmelo Iaria

Carmelo Iaria thumbnail

The author is an experienced specialist with over 30 years of international experience, including work in Europe, the USA, and Brazil. During this time, he has observed how organizations develop and face challenges amid technological changes. Today, his key interest is focused on the impact of artificial intelligence—not just as a tool, but as a factor that changes the very logic of work, decision-making, and value creation. He views AI as a living system capable of identifying hidden patterns, uncovering connections, and rethinking the foundations of business strategy. His mission is to make this complex area understandable and applicable in practice, helping organizations become more flexible, intelligent, and adaptive. In his teaching and expert activities, he draws not only on his accumulated experience but also on his research interest. For him, every session is a space for collaborative exploration of how human and artificial intelligence can interact, shaping more effective solutions, strong teams, and a sustainable future.

What lessons are included in Become an Agentic Architect?

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 28 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Live Session 1 What are you going to Build and How
All Course Lessons (28)
#Lesson TitleDurationAccess
1
Live Session 1 What are you going to Build and How Demo
01:35:50
2
Office Hours Apr 17, 2026
29:28
3
Welcome Video
01:51
4
Selecting your Capstone Project (video)
00:58
5
The Define stage (video)
01:19
6
Setting the foundation for your Capstone Project (external AI tools)
01:01
7
Setting the foundation for your Capstone Project (AAMAD agent personas)
08:57
8
Live Session 2 Defining Solution Architecture and UX
01:04:44
9
Office Hours
00:53
10
The Solution Architecture (video)
00:52
11
The Frontend (video)
01:03
12
Live Session 3 Backend Design and your Crew
45:12
13
Backend (video)
00:57
14
From Local to Runtime - turning Skills and Personas into CrewAI Agents
06:42
15
Live Session 4 Full-stack integration
01:06:41
16
Integration (video)
00:59
17
Full-Stack Integration Patterns with CrewAI
06:08
18
Human-in-the-Loop & Feedback Mechanisms
06:00
19
Integrating External APIs & Data Sources
05:30
20
MAY 8 Office Hours
37:50
21
Live Session 5 Production-Ready Applications
11:14
22
Observability & QA
00:57
23
Observability
06:10
24
Performance Monitoring & Optimization
05:32
25
Deploy and Present (video)
01:04
26
Production Best Practices
07:12
27
Setting up your Application Hosting environment
06:45
28
Setting up your CICD
05:07
Unlock unlimited learning

Get instant access to all 27 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

What courses are similar to Become an Agentic Architect?

  • faster. | Learn AI-Assisted Development thumbnailUpdated 1mo ago

    faster. | Learn AI-Assisted Development

    By: Aaron Francis
    Practical course on AI development for engineers. Learn reproducible processes and improve your code with artificial intelligence.
    5/5
  • Building Loadout thumbnailNew

    Building Loadout

    By: Aaron Francis
    Take the course and create a desktop application called Loadout to manage AI tools using modern technologies such as Rust and React.
    11m
  • Building faster.dev thumbnailNew

    Building faster.dev

    By: Aaron Francis
    Master the development of the AI-native platform faster.dev using modern technologies, including Laravel and React, to create efficient SaaS products.
    22m
  • n8n for AI Workflows and AI Agents thumbnailNew

    n8n for AI Workflows and AI Agents

    By: Academind Pro (Maximilian Schwarzmüller)
    Learn how to create robust automations with n8n and AI. This includes AI agents, email processing, content generation, and image generation.
  • Vibe Code a Generative AI Finance App with Python and LangChain thumbnailUpdated 1mo ago

    Vibe Code a Generative AI Finance App with Python and LangChain

    By: Zero To Mastery
    Master the creation of AI applications for investments using Python and LangChain. Practice developing a fintech application and understanding financial metrics
    7h 36m5/5
  • Build a DeepSeek Model (From Scratch) thumbnailUpdated 1mo ago

    Build a DeepSeek Model (From Scratch)

    By: Rajat Dandekar, Naman Dwivedi, Dr. Sreedath Pana
    Learn how to build a DeepSeek model from scratch. A practical guide with a focus on engineering and algorithmic solutions for efficient model performance.
  • AI Voice Agents with AWS thumbnailUpdated 1mo ago

    AI Voice Agents with AWS

    By: Zero To Mastery
    Study the creation of voice AI agents using AWS and Python. Develop an assistant with real functionalities and a deep understanding of the architecture.
    3h 1m5/5
  • Auditing Your Code thumbnailNew

    Auditing Your Code

    By: Aaron Francis
    Learn code audit skills to analyze and improve the codebase. The course covers tools for systematic analysis, project cleanup, and working with reports.
    30m

Frequently asked questions

What prerequisites are needed for this course?
Prospective students should have a foundational understanding of software development and basic programming skills. Familiarity with concepts like APIs and full-stack integration would be beneficial, but the course also guides students through these areas using tools like CrewAI and the AAMAD framework.
What will I build during this course?
Students will build a full multi-agent application using CrewAI and the AAMAD framework. The course emphasizes practical experience, culminating in a Capstone project where students design and operate their own agent systems.
Who is the target audience for this course?
This course is designed for software developers and engineers looking to adapt to new software development paradigms involving smart agents. It is ideal for those who wish to transition from traditional coding roles to more strategic positions involving system design and agent coordination.
How does this course compare in depth and scope to other courses?
Unlike other courses that may offer abstract demos, this course is hands-on, focusing on the practical application of building agent systems. It covers end-to-end development, from defining a project to deploying a production-ready application, with live coaching and feedback.
Which specific tools or platforms will I learn to use?
Students will learn to use CrewAI for agent integration and the AAMAD framework to plan and build multi-agent systems. The course includes lessons on frontend and backend design, as well as integrating external APIs and data sources.
What topics are not covered in this course?
The course does not cover traditional coding techniques in depth, as its focus is on coordinating and managing agent-based systems. It assumes a basic understanding of programming and does not provide foundational coding instruction.
What is the expected time commitment for this course?
The course consists of 28 lessons, including live sessions and a Capstone project. While the exact time commitment can vary, students should be prepared to dedicate several hours per week to watching videos, participating in live sessions, and working on their projects.