Fikayo Adepoju

Cut Your Agent Architecture Decisions from Weeks to 30 Min

LinkedIn

CircleCI

Twilio

auth0 by Okta

Founder | Instructor @ LinkedIn Learning

Recognize when "add another agent" is a reflex, not a solution, via a real case study of over-engineering

Identify the Multi-Agent Trap

A diagnostic question to determine if you need specialized reasoning or just better tools

Apply the Task Decomposition Test

Leave with a concrete, defensible recommendation for your actual project, not "it depends"

Map Your Problem to the Right Pattern

Build your Multi-agent AI application in 6 weeks with Cursor and CrewAI—and leave as an Agentic Architect who orchestrates agents.

Cohort 3

Agentic Architect, Pearson SME, ex-Cisco

Cisco

Claro Brasil

Pearson

O'Reilly

Carmelo Iaria

Agentic Architect, Pearson SME, Startup Founder, 30 years of global experience

Cohort 2

Cohort 4

This course is what you need to stay relevant—and protect your career.In 2026, engineering value is shifting from task execution to orchestration and systems thinking. Anthropic’s research shows that being a software engineer increasingly means orchestrating agents that write code, evaluating their output, and ensuring the system solves the right problems—not just writing more code yourself. The gap between early adopters and everyone else is widening fast.This project-based course puts you on the right side of that shift. You’ll use CrewAI and the AAMAD framework to design, build, and deploy a production-ready multi-agent AI application—with a real Capstone Project and live coaching. No empty theory, no “vibe coding” without structure: you’ll learn the coordination and context-engineering discipline that keeps systems reliable and your role indispensable.Top 2 trending Engineering course on Maven in February.NOTE: promoCode "EARLYBIRD" will give you 20% discount if you enroll by March 31st

Software development is moving from writing code to orchestrating agents.

Define a solid foundation with clear research and project scope

Architect your complete multiagent solution — from roles to workflows

Design and build a production-ready Agentic AI Application

Define and configure your multiagent crew — from backend logic to integrations

Add enterprise-level quality: integrate human feedback, observability, and QA

Deploy, validate, and present your final Capstone solution with confidence

More than 5 years of experience as engineer or AI developer | Intermediate knowledge of Python

Experience & Background

Basic knowledge of API/web service
GitHub and AWS (or similar cloud) account

APIs & Cloud Platforms

CursorAI (Pro recommended), OpenAI API access ($20+ in credits), GitHub Account, AWS access (recommended)

Required Tools & Access

Software developers and engineers who see AI reshaping their role and want to move from implementer to orchestrator.

Tech leads and engineering managers who need to ship production-grade agent systems and who are already the “glue” between teams and agents.

AI/ML engineers and consultants who want to escape task-level work and sell enterprise-grade, orchestrated solutions.

You'll ship a CrewAI crew, a PRD agents run on, and the confidence to shift from coder to Agentic Architect

Carmelo Iaria 

Cohort 1

The industry is shifting from writing code to orchestrating agents that write code. Anthropic's research shows it clearly. But most engineers are still stuck in coding mode: they prompt, they debug, they patch. The agents misbehave. The architecture feels wrong. And they have no one to show them how to design and coordinate systems instead of hand-coding every fix. In this cohort, you stop coding and start orchestrating. You'll define a PRD that agents can execute on. You'll configure a CrewAI crew - roles, tasks, tools - and get live debugging when things break. You'll get architecture review before you scale. You'll apply the framework to your actual use case, with coaching in real time. Unlike self-paced tutorials, you build with me in the room. Hot seats. Live debugging. The Define-Build-Deliver framework applied systematically - not tips, but a proven method. I've spent 30 years building systems that scale (Cisco, Claro, Pearson) and now train engineers to orchestrate agents instead of writing code alone. When you hit a wall, we fix it together.-&gt; Two Saturdays. Four hours live. The shift from coder to orchestrator.

Stop Coding - Start Orchestrating AI Agents

Adopt the Agentic Architect mindset

Run the Define phase: scope, PRD, context setup

Run the Build phase: multi-agent crew with CrewAI

Run the Deliver phase: simulate deployment and monitoring

Ship a real multi-agent app end-to-end

Tech leads and engineering managers who need to ship production-grade agent systems and who are already the "glue" between teams and agents

AI/ML engineers and consultants who want to escape task-level work and sell enterprise-grade, orchestrated solutions

Design, build, and deploy real multi-agent AI systems—move beyond prompts to production-ready AI engineering.

Founder & AI Instructor at School of AI

Vivian Aranha

Builds enterprise AI systems and trains global AI leaders

Learn on your schedule with this self-paced course featuring pre-recorded sessions. Enjoy lifetime access, so you can revisit and reinforce your learning whenever needed.AI is rapidly evolving from simple chatbots to autonomous, multi-agent systems that can plan, reason, and execute complex workflows. Yet most professionals are stuck at the prompt engineering stage—unable to design real AI systems that deliver business value.This course solves that gap.If you’ve experimented with ChatGPT or Claude but don’t know how to build scalable AI systems, this bootcamp will show you how. You’ll learn how modern companies are building multi-agent architectures using frameworks like LangGraph, CrewAI, and AutoGen—and how to apply these patterns in real-world use cases.Instead of theory, you will build end-to-end systems: agents that collaborate, use tools, manage memory, and deliver structured outputs. We’ll also cover production concerns like evaluation, guardrails, and deployment.By the end, you won’t just understand agentic AI—you’ll be able to design and ship multi-agent systems confidently.

Build Production-Ready Multi-Agent AI Systems in 3 Days

Build Your First Multi-Agent System

Master Agentic Design Patterns

Implement Tools & Memory in Agents

Orchestrate Agents Using Modern Frameworks

Evaluate and Improve Agent Performance

Deploy Production-Ready AI Systems

AI Engineers &amp; Developers: Ready to move from LLM apps to real multi-agent systems and production workflows

Product Managers &amp; Builders: Want to design scalable AI products using agent architectures, not just features

Career Switchers into AI: Looking to build portfolio-ready AI systems and break into high-paying AI roles

Learn how to define task autonomy, decision thresholds, guardrails, and human override in agent-enabled systems.

BA-Cube Founder | LinkedIn Instructor

Angela Wick

25+ years practicing, shaping, and teaching analysis, product, and requirements.

Agentic AI Skills for Business Analysts

Agentic AI changes the game because AI can autonomously act. It can initiate actions, make decisions, and operate across workflows with increasing autonomy. Risk escalates, and so does opportunity! Without deliberate, disciplined, and structured analysis, agents act on incomplete logic, unclear boundaries, and undefined escalation paths. That is where exposure multiplies. This course matters because Business Analysts are uniquely positioned to define autonomy limits, decision thresholds, guardrails, and monitoring structures before agents scale. It equips you to design control into autonomy, so AI-driven systems remain accountable, coherent, and aligned with business intent rather than becoming fragile at scale.AI is moving beyond assistance. Agents can:<ul><li>Initiate actions on their own</li><li>Make decisions</li><li>Trigger workflows</li><li>Operate continuously</li></ul>This changes the role of Business Analysis.When agents act without clearly defined:<ul><li>Goals</li><li>Boundaries</li><li>Escalation rules</li><li>Monitoring thresholds</li></ul>Organizations lose control.This course teaches how to design and govern agent behavior responsibly.