Build and deploy AI systems.
For engineers who need to ship, product managers making AI decisions, and executives setting strategy. From LLM fundamentals to production agentic systems.
Training formats
Three ways to engage, depending on where your team is and what you need to build.
Executive Workshop
Free2-hour session covering AI literacy, real use cases, and what your organization should be building first.
Book a callCohort Bootcamp
Contact for pricing6–8 week cohort covering LLMs, agents, RAG, and deployment. Hands-on projects. Small cohorts, real feedback.
Book a callCorporate Training
Contact for pricingCustom curriculum delivered to your team, at your pace, in your environment. Includes capstone projects and follow-on support.
Book a callWhat you'll cover
Every tier is scoped differently. Here's what each one actually teaches.
Executive Workshop
2 hours- AI literacy — what the technology actually does and doesn't do
- LLM capabilities and limits in plain language
- Real use cases from production deployments
- Build vs. buy decisions for your organization
- What to prioritize and where to start
Cohort Bootcamp
6–8 weeksWeek 1–2: LLM Fundamentals
- Prompt engineering — zero-shot, few-shot, chain-of-thought
- Context windows, token limits, and cost management
- Tokenization and how models process text
- OpenAI, Anthropic, and open-source model comparison
Week 3–4: RAG Systems
- Chunking strategies and document preprocessing
- Embeddings — what they are and how to choose a model
- Vector stores: Pinecone, Weaviate, pgvector
- Retrieval evaluation and relevance tuning
Week 5–6: AI Agents
- LangChain and LangGraph fundamentals
- Tool use and function calling
- Agent memory — short-term, long-term, episodic
- Multi-agent orchestration patterns
Week 7–8: Deployment
- FastAPI for serving LLM applications
- Docker and containerization for AI workloads
- Observability — logging, tracing, cost monitoring
- Production patterns: caching, fallbacks, rate limiting
Corporate Training
Custom timeline- Custom curriculum scoped to your stack and use cases
- Integration with your existing infrastructure and tooling
- Capstone project built around a real problem in your org
- Follow-on support and office hours post-training
Who attends
The AI Track is built for people doing real work with AI, not just following it from the sidelines.
Engineers
Software engineers who want to build production-grade AI features — not just demos.
Product Managers
PMs making scoping and prioritization decisions about AI in their product.
Executives
Leaders setting AI strategy, evaluating vendors, and deciding where to invest.
Teams evaluating AI vendors
Organizations deciding whether to build in-house or buy a solution.
Ready to train your team?
Start with a free executive workshop or get a custom proposal for your engineering team.
