A full-stack curriculum spanning foundations, systems, applications, and real-world deployment.
Every module is built around deliverables that graduates can show employers on day one.
| Month | Focus | Outcome |
|---|---|---|
| Month 1 | Foundations | Agent workflows, prompt engineering, context management, local LLM infrastructure |
| Month 2 | Systems | API integration, memory systems, error handling, security, privacy, air-gapped operations |
| Month 3 | Applications | Business process automation, content/media workflows, code generation, research analysis |
| Month 4 | Mastery | Real-world case studies, capstone project, job placement, corporate integration |
Weeks 1–4: AI landscape, agent fundamentals, prompt engineering, local LLM setup, multi-agent architecture.
Weeks 5–8: API integration, data pipelines, memory/context windows, fail-safe design, security, air-gapped operations.
Weeks 9–12: Business automation, content and media workflows, code generation, research and decision support.
Weeks 13–16: Case studies, capstone design and execution, placement prep, corporate onboarding.
Cohort sizes: 20 → 30 → 40 students as the facility scales.
Concepts delivered by senior orchestrators with real enterprise deployment experience.
Pair and team programming on live agent systems with instructor review.
Students present working systems daily. Feedback is immediate and specific.