AI FOUNDATIONS
First API-Based AI Assistant
Connect an LLM API to a working assistant with structured responses and reliable error handling.
Generative AI and Agentic AIChatbot vs workflow vs agentLLM capabilities and limitations
Explore the build YOUR WORK. YOUR PORTFOLIO.
Don’t just learn AI.
Build with it.
Six practical projects that turn concepts into working applications. Every build adds another layer of engineering experience.
SIX BUILDS. ONE PROGRESSION.
A portfolio with substance.
TOOL CALLING
Customer Support AI Agent
Build customer lookup, order status, FAQ search and controlled task creation into a tool-using agent.
Agent architectureGoal → Reason → Act → Observe → RepeatAgent instructions
Explore the build KNOWLEDGE
Company Knowledge / RAG Agent
Turn PDFs, policies, FAQs and product documents into grounded answers with sources.
Conversation historySession stateShort-term memory
Explore the build MULTI-AGENT
AI Software Team
Coordinate a project manager, research agent, developer agent and reviewer / QA agent.
MCP fundamentalsClient/server modelTools and resources
Explore the build AI WORKFLOWS
AI Lead Management System
Build a backend, database and CRUD workflow with AI lead qualification, tools, tests and evaluation.
Requirement analysisRepository explorationPlanning
Explore the build FINAL CAPSTONE
AI Customer Operations System
Bring coordinator and specialist agents, RAG, CRM workflows, memory, MCP and guardrails into one demonstrable system.
Input validationOutput validationTool permissions
Explore the 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
User
UI / API
Coordinator Agent
Specialist Agents
Tools / APIs / CRM
Knowledge / RAG + Memory
MCP + Guardrails
Testing / Tracing
Deployment
MORE THAN A CERTIFICATE
Finish with work you can explain.
Show your tools and data, demonstrate testing, identify limitations and run a working application.
6 practical AI projects
Git repository
Project documentation
Tests / evaluation examples
Architecture diagrams
Final project demonstration
YOUR NEXT CHAPTER
Ready to build your
first AI agent?
Learn the concepts. Build the system. Make it work.