Design the architecture
Choose models, retrieval patterns, tools, memory, and orchestration based on the workflow—not the hype.
Production AI bootcamp
Become the engineer who ships production AI.
A live, outcome-focused program that takes you from LLM foundations to a production-grade agentic system—the standard enterprise teams expect.
What changes
Leave with proof, not course notes.
Every week advances one continuous build. You finish with a system you can demonstrate, defend, evaluate, deploy, and operate.
Build grounded agents
Connect enterprise knowledge and actions with clear boundaries, permissions, and human handoffs.
Evaluate behavior
Create golden datasets, automated checks, LLM-as-judge scoring, and regression gates that teams can trust.
Operate in production
Add tracing, cost controls, latency budgets, fallback paths, and observability for real users.
Ship responsibly
Model threats, protect sensitive data, manage prompt injection risk, and document operational controls.
Present the evidence
Defend your technical choices and demonstrate a working capstone to instructors and peers.
12 weeks, one build
Build. Deploy. Prove.
The sequence follows the way production systems actually mature: from a well-defined problem to a measured, operated product.
Build the foundation
LLM behavior, structured outputs, retrieval, tool use, state, memory, and the first working vertical slice.
Engineer the system
Agent patterns, multi-step workflows, enterprise integrations, evaluation design, safety, and failure handling.
Deploy and defend
Observability, LLMOps, performance, cost, security, deployment, and a capstone review grounded in evidence.
Capstone directions
Ship a real agent system, not a toy demo.
Choose a production-shaped use case and carry it through architecture, implementation, evaluation, and deployment.
Customer support agent
Sales copilot
Enterprise knowledge assistant
Contract review agent
Operations workflow
AI test automation
Codebase-aware assistant
HR policy agent
Certification is earned.
You earn the BodhiContextAI certificate by passing module evaluations and presenting a working capstone. The standard is simple: the system must behave reliably, the engineering choices must be explainable, and the evidence must hold up under review.
This program is for software engineers, AI engineers, technical leads, forward-deployed engineers, and implementation specialists ready to own real AI outcomes.
Ask about the next cohort →