6-WEEK PRACTICAL PROGRAM
Agentic AI
Engineering.
From LLM Applications to Production AI Agents. Design, build, test and demonstrate practical AI applications.
BUILT AROUND PRACTICE
Understand it. Then make it work.
Learn
Understand the underlying concepts.
See
Watch real implementations.
Build together
Follow guided implementation.
Build independently
Apply concepts to practical challenges.
Test
Validate the application.
Improve
Debug and refine the system.
Demo
Present a working project.
IS THIS FOR YOU?
For people who
want to build.
For professionals creating AI-powered internal tools and technical learners turning ideas into working software.
Your starting point
- Basic Python or JavaScript
- Basic JSON understanding
- Basic HTTP / API concepts
- Basic command-line knowledge
- Basic Git knowledge recommended
You don’t need advanced ML mathematics.
LEARNING OUTCOMES
What you’ll be able to build.
THE FINAL CAPSTONE
One system.
Everything connected.
Build a real AI Customer Operations System, then explain, test and demonstrate how it works.
- Coordinator / orchestrator
- At least two meaningful specialist capabilities
- External tool / API integration
- RAG knowledge source and memory / state
- Validation, permissions and a test / evaluation set
- Usable API or interface, README and live demonstration
THE TECHNOLOGY ECOSYSTEM
Concepts first.
Tools with purpose.
RECOMMENDED ASSESSMENT
Working systems.
Engineering judgment.
The recommended curriculum structure, subject to academy confirmation.
YOUR NEXT CHAPTER
Ready to build your
first AI agent?
Learn the concepts. Build the system. Make it work.