Workshops and bootcamps for teams that want to use AI right.

Every session is hands-on. You build real things. No slides, no theory dumps. You leave with working artifacts and a clear next step.

All sessions are customized to your stack, your team, and your actual problems. The catalog below shows starting points, not fixed agendas.

Workshops

Half-day or full-day sessions for engineering, product, and leadership teams. Remote or on-site.

Workshop

AI Cost Optimization

Your AI bill is growing faster than your AI output.

Most teams default to the most expensive model for everything. This workshop covers how to pick the right model for the right task at the right cost, when to use open source, and how to measure token-to-revenue ratio.

  • Audit your current AI spend and model usage
  • Open source vs proprietary: when each wins
  • Model routing: small models for small tasks
  • Build a token-to-revenue measurement framework
  • Walk away with a cost reduction action plan
FormatHalf-day (4 hrs)
ForEngineering leads, Platform teams
DeliveryRemote or on-site
Workshop

Agentic AI Architecture

Your team built a chatbot. Now leadership wants agents.

The jump from chat-based AI to agentic workflows is where most teams stall. This workshop covers agent design patterns, multi-agent orchestration, tool use, and how to go from demo to production without the mess.

  • What makes a system "agentic" vs just a chain
  • Agent design patterns: ReAct, plan-and-execute, multi-agent
  • Tool use, function calling, and grounding
  • Multi-agent teams: when to use, when to avoid
  • Live build: ship a working agent on your stack
FormatFull-day (6-8 hrs)
ForEngineering teams, ML/AI teams
DeliveryRemote or on-site
Workshop

Open Source AI Adoption

You're paying for APIs when open source models can do 80% of the job.

Covers running local models with Ollama, fine-tuning basics, when open source beats proprietary, and how to build a hybrid stack that uses both. Your team walks away running models locally.

  • Ollama, vLLM, and local inference setup
  • Model selection: Qwen, Llama, Mistral, DeepSeek
  • Hybrid architecture: local for routine, API for frontier
  • Privacy and compliance advantages of local AI
  • Live build: deploy a local model serving real traffic
FormatHalf-day (4 hrs)
ForDevOps, Platform, Security teams
DeliveryRemote or on-site
Workshop

RAG and Knowledge Systems

Your RAG pipeline returns garbage and nobody trusts it.

Most RAG implementations fail because of bad chunking, wrong embeddings, or no evaluation. This workshop covers the full pipeline from ingestion to retrieval to generation, with real data from your domain.

  • Chunking strategies that actually work
  • Embedding model selection and benchmarking
  • Vector stores: S3 Vectors, pgvector, Pinecone tradeoffs
  • Evaluation: how to measure RAG quality
  • Live build: end-to-end RAG on AWS (Bedrock + S3 Vectors)
FormatFull-day (6-8 hrs)
ForEngineering teams, Data teams
DeliveryRemote or on-site
Leadership

AI Strategy for Engineering Leaders

Your board wants an AI strategy. Your team wants direction. You need both in the same room.

A facilitated session for VPs, Directors, and tech leads. We cut through the hype, assess where your team actually is, identify the 2-3 highest-leverage AI investments, and build a 90-day action plan. No vendor pitches. No magic pills. Just honest assessment and clear next steps.

  • AI maturity assessment for your team (where you actually are vs where you think you are)
  • The 93/7 problem: why tool spend without people investment fails
  • Identify 2-3 highest-ROI AI use cases for your specific business
  • Build vs buy vs open source decision framework
  • Walk away with a 90-day roadmap your team can execute
FormatHalf-day (3-4 hrs)
ForVPs, Directors, Tech Leads
DeliveryRemote or on-site

Bootcamps

Intensive 1-2 day sessions for engineers and builders who want to level up fast. You build 10+ projects. You leave fluent.

Bootcamp

AI Fluency Bootcamp

You use ChatGPT but you're not AI-fluent. There's a gap and you feel it.

Two days. 10+ projects. You go from prompting to engineering. Covers prompt patterns, coding agents, multi-model workflows, and reusable artifacts you take home. For engineers who want to stop experimenting and start shipping with AI.

  • Prompt engineering that actually compounds
  • Coding agents: Claude Code, Codex, Cursor workflows
  • Multi-model patterns: when to use which model
  • Build reusable artifacts: templates, agents, pipelines
  • 10+ hands-on projects across 2 days
Format2 days (intensive)
ForEngineers, builders, operators
DeliveryIn-person (DMV) or remote
Bootcamp

Agentic Engineering Bootcamp

Everyone's talking about agents. You want to build them.

Deep dive into agentic systems. You build agents that reason, use tools, collaborate, and run autonomously. Covers single-agent, multi-agent, agent teams, evaluation, and production deployment. Bring your laptop and your hardest problem.

  • Agent architectures: ReAct, tool-use, plan-and-execute
  • Multi-agent orchestration and agent teams
  • LLM Council pattern: multi-model decision-making
  • Evaluation and guardrails for production agents
  • Ship a working multi-agent system by end of day 2
Format2 days (intensive)
ForEngineers, AI/ML practitioners
DeliveryIn-person (DMV) or remote
Bootcamp

AWS AI and Cloud Bootcamp

You're building on AWS but not using any of the AI services.

Hands-on bootcamp covering Bedrock, S3 Vectors, SageMaker, and the full AWS AI stack. You build real pipelines, not toy demos. For teams already on AWS who want to add AI without switching platforms.

  • Bedrock: model access, agents, knowledge bases
  • S3 Vectors + RAG pipeline (400x cheaper than hosted DBs)
  • Bedrock Guardrails: prompt injection, PII masking
  • AWS DevOps Agent and Security Agent
  • Cost comparison: AWS AI vs third-party alternatives
Format1-2 days
ForAWS teams, cloud engineers
DeliveryRemote or on-site
Bootcamp

AI for Business Operators

You run a business. AI could save you 10 hours a week. You just don't know where to start.

For founders, operators, and small business owners. No code required. You learn which AI tools actually save time and money, how to automate repetitive work, and how to evaluate AI spend. You leave with 5+ automations running.

  • AI tools that actually work for small teams
  • Automate: email, scheduling, content, reporting
  • When to use AI vs when to hire a person
  • Measure: is this AI tool saving or costing you money?
  • 5+ working automations by end of session
Format1 day
ForFounders, operators, small business
DeliveryRemote or in-person (DMV)

Advisory

Not everything needs a workshop. Sometimes you need one honest conversation.

1:1

AI Cost and Architecture Advisory

You have a specific AI problem and need an expert opinion, not a 6-week engagement.

One-on-one sessions for engineering leaders, CTOs, and founders. Bring your architecture diagram, your AI bill, or your stalled pilot. I'll tell you what I'd do, what I wouldn't, and why. No ongoing commitment required.

  • AI architecture review and recommendations
  • Model selection and cost optimization
  • Build vs buy vs open source decisions
  • Agentic workflow design
  • AI team structure and hiring strategy
Format60-90 min sessions
ForCTOs, VPs, Founders
DeliveryRemote

Not sure which one fits?

Book a free discovery call. We'll figure out what your team actually needs in 20 minutes.