Learn to better leverage AI-powered development tools like Cursor, Copilot, and Claude Code. Learn workflows that streamline your build process, chain more powerful prompts, and create fully functional full-stack applications with ease.

Learn to elevate the capabilities of AI development tools by utilizing advanced techniques like spec-driven development, context management, system rules, and MCPs to take your builds to the next level.

Learn to confidently select, evaluate, and implement LLMs into your full-stack applications to leverage their generative capabilities for creating text, image, and video responses to user queries.

Learn to employ more sophisticated patterns for building system prompts and providing LLMs with dynamic context. Understand how to optimize LLM behavior, control hallucinations, and manage token utilization.

Learn how tool calling routes model outputs into deterministic execution paths. Implement Model Context Protocols (MCPs) to define tool schemas, control routing logic, and safely connect LLMs to APIs, services, and internal systems.

Learn how to evolve from static tool calling to agent-based workflows using LangChain. Design agents that can plan, select tools dynamically, and execute multi-step tasks while maintaining control over state, memory, and execution flow.

Learn how to design and coordinate multi-agent systems using Agno. Define clear agent roles, route tasks between specialists, and manage shared context so agents can collaborate reliably across complex workflows.

Learn to identify common security vulnerabilities and cost bleeds in agentic systems before they hit production. Apply practical hardening patterns—guardrails, permissions, evals, and budgets—to build safer, more cost-controlled AI systems.

Apply the concepts and techniques covered throughout the program to design, build, and deploy a substantial AI application. Work independently or in small teams to architect a production-ready system with measurable functionality and constraints.

Showcase your work to the community. Present your capstone project, demonstrate its capabilities, and receive feedback from peers and instructors in our final demo day celebration.