THE COMPLETE LEARNING JOURNEY
A roadmap from
curiosity to capability.
Six weeks, 18 instructor-led sessions and a project at every stage. Explore exactly what you will learn and build.
OPEN EACH WEEK TO EXPLORE
Your six-week curriculum.
Week 1: LLMs, APIs & AI Application Foundations
YOUR BUILD / First API-Based AI Assistant
Connect an LLM API to a working assistant with structured responses and reliable error handling.
- Generative AI and Agentic AI
- Chatbot vs workflow vs agent
- LLM capabilities and limitations
- Tokens and context
- Prompt engineering
- System/user instructions
- Structured JSON outputs
- API keys and environment variables
- HTTP/API interaction
- Simple AI application
- API integration
- Error handling
- Prompt testing
Week 2: Agents, Tools & Function Calling
YOUR BUILD / Customer Support AI Agent
Build customer lookup, order status, FAQ search and controlled task creation into a tool-using agent.
- Agent architecture
- Goal → Reason → Act → Observe → Repeat
- Agent instructions
- Tool selection
- Termination conditions
- State
- Function/tool calling
- API integrations
- Database/tool concepts
- Input validation
- Retries
- Error handling
- Permissions
- Controlled actions
Week 3: RAG, Memory & Knowledge Agents
YOUR BUILD / Company Knowledge / RAG Agent
Turn PDFs, policies, FAQs and product documents into grounded answers with sources.
- Conversation history
- Session state
- Short-term memory
- Long-term memory
- Persistent sessions
- Database-backed memory
- RAG architecture
- Document ingestion
- Chunking
- Embeddings
- Semantic search
- Vector stores
- Source grounding
- Citations
- RAG vs memory
Week 4: MCP & Multi-Agent Systems
YOUR BUILD / AI Software Team
Coordinate a project manager, research agent, developer agent and reviewer / QA agent.
- MCP fundamentals
- Client/server model
- Tools and resources
- MCP vs direct API integration
- Authentication
- Least-privilege access
- Manager/coordinator agents
- Specialist agents
- Handoffs
- Agents as tools
- Context passing
- Task delegation
- One agent vs multiple agents
Week 5: Coding Agents, Testing & Evaluation
YOUR BUILD / AI Lead Management System
Build a backend, database and CRUD workflow with AI lead qualification, tools, tests and evaluation.
- Requirement analysis
- Repository exploration
- Planning
- Implementation
- Testing
- Review
- Fix
- Verification
- AGENTS.md
- Multi-file changes
- Git
- Diffs
- Debugging
- Refactoring
- Automated tests
- Agent tracing
- Evaluation cases
- Regression testing
- AI-generated code review
Week 6: Safety, Deployment & Final Capstone
YOUR BUILD / AI Customer Operations System
Bring coordinator and specialist agents, RAG, CRM workflows, memory, MCP and guardrails into one demonstrable system.
- Input validation
- Output validation
- Tool permissions
- Prompt-injection defense
- Human approval
- Authentication
- Authorization
- Secrets management
- API/backend architecture
- Database integration
- Environment variables
- Docker
- Cloud deployment concepts
- Logs and monitoring
- Production checklist
YOUR NEXT CHAPTER
Ready to build your
first AI agent?
Learn the concepts. Build the system. Make it work.