AI training services

Enterprise AI programs for leaders and builders

Cover leadership strategy first, then go deep with engineering teams on GenAI, agents, RAG, MCP, and LLMOps.

Executive programs

Decision-maker workshops for strategy, investment prioritization, and governance.

1 to 2 daysCXO, CTO, business heads

Prioritize AI investments, measure ROI, and set an operating model that can grow.

1 to 2 daysRisk, compliance, technology leaders

Policies, risk controls, model oversight, and responsible AI for regulated teams.

Hands-on bootcamps for teams building production GenAI systems.

3 to 5 daysEngineers, architects

Build production GenAI apps with security, evaluation, and cost discipline.

3 to 5 daysEngineers, product teams

Design agent workflows with tools, memory, human review, and reliability patterns.

3 to 5 daysEngineers, data teams

Chunking, retrieval quality, citations, hybrid search, and grounding on company data.

2 to 3 daysEngineers, platform teams

Connect agents to enterprise tools and data safely using Model Context Protocol.

3 to 4 daysPlatform, MLOps, engineering leads

Observability, evals, prompt versioning, guardrails, and production runbooks.

Deeper architecture and multi-agent work for teams already shipping AI.

3 to 5 daysSenior engineers, architects

Coordinate specialized agents and automate multi-step enterprise workflows.

2 to 3 daysArchitects, engineering leaders

Reference architectures, platform choices, security boundaries, and scale decisions.

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