AI Agentic Applications: multi-agent systems & architecture
The advanced, systems-level follow-on to single-agent development: the five orchestration patterns, real framework comparison, coordination mechanisms that keep agents from stepping on each other, cost engineering at production scale, and human-in-the-loop design for coordinated systems. Ten modules, 25 lessons, 3 hands-on labs, and real documented reference architectures.
10modules · 25 lessons
3hands-on labs, free frameworks
5orchestration patterns, decision framework
$0lab tooling cost
Why this course
The systems-level next step after the AI Agent Builder Course — for people who've built one agent and now need to build a real multi-agent product.
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Real reference architectures
Documented production patterns — contract generation, SRE diagnosis — not hypothetical toy examples.
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Build the same task twice
A hands-on lab implementing one task in two different frameworks, so you feel the real tradeoffs, not just read about them.
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Cost-honest
The real $0.50-to-$50,000 failure mode, with a lab that makes you calculate it yourself before it happens to you.
What You'll Actually Achieve
Concrete outcomes, not vague promises — visible here in the free preview before you decide.
📚 Learning Outcomes
Build the identical multi-agent task in two different frameworks and articulate real, felt differences between them
Diagnose and fix a genuine race condition in shared-agent-state coordination — not a simulated one
Model multi-agent production cost using your own measured token data, not assumed averages
Identify which framework's mental model fits a given orchestration pattern, not just which is more popular
🔬 Lab Outcomes — What You'll Actually Build
The same supervisor-pipeline task built working in both LangGraph and CrewAI, with a real cost comparison
A deliberately broken shared-state task you fixed twice — file locking, then a subtler version-checking bug
A real production cost model with three volume scenarios, based on your own measured token usage
Industry Relevance — JobTkl's Assessment
Our own rubric based on tool currency, real-world grounding, and current hiring signal — not a third-party certification or independently verified score.
Tool/Framework CurrencyLangGraph and CrewAI are the two most-adopted multi-agent frameworks in current production use
Real-World GroundingRace conditions and cost scaling are the actual failure modes production multi-agent systems hit, not textbook examples
Emerging-Skill DemandMulti-agent orchestration skill is scaling with genuinely explosive current demand across the industry
Curriculum
Module 1 is free. The rest unlock with a subscription.
One course. One price.
Lifetime access to all 10 modules and future updates.