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Gen AI workshops

Learn to build real AI systems, not slides

Instructor-led Gen AI workshops for engineering & delivery teams, from AI foundations, RAG and agents to multi-agent systems. You leave with working code.

  • Gen AI
  • AI Agents
  • Agentic Architecture
  • RAG
  • Agent2Agent Protocol
  • MCP

What will your team build next?

Every workshop is a hands-on build. Your engineers write and run real code beside the instructor, then take it back to work the next morning.

AI for Developers

AI for Developers — Build Practical, Responsible AI Features

Go from prompts and coding assistants to a working LLM app with RAG, MCP, evaluation and safeguards.

5 daysInstructor-led, lab-driven, capstone project
GenAI Design & Architecture

GenAI Design & Architecture — Engineering Robust Enterprise AI Systems

Design governed, scalable enterprise GenAI systems: retrieval, orchestration, evaluation and security.

3 daysArchitecture-led learning, case-study workshops, design reviews, and hands-on implementation exercises
Applied AI Solution Architect

Applied AI Solution Architect — FDE

Architect, build, deploy and govern an AI-enabled full-stack enterprise application end to end.

5 daysInstructor-led, lab-driven, continuous capstone project
Building Intelligence with RAG

Building Intelligence with RAG — Build a Grounded Knowledge Assistant

Build a working RAG knowledge assistant that retrieves, cites and streams grounded answers.

3 daysInstructor-led, lab-driven, capstone project
Java 25 for AI Engineering

Java 25 for AI Engineering — Build Reliable RAG and Agentic Applications

Use Java and Spring to build source-backed RAG and safe, bounded agentic services.

5 daysInstructor-led, lab-driven, cumulative capstone project
Agentic ADLC with GitHub Copilot

Agentic ADLC with GitHub Copilot — From JIRA Ticket to Merged PR

Turn GitHub Copilot into a team workflow: from JIRA ticket to spec, code, review and merged PR.

3 daysInstructor-led, hands-on, lab-driven, project-based
Agentic Workflows & Multi-Agent Systems

Agentic Workflows & Multi-Agent Systems — Build, Evaluate, and Operate Multi-Agent Systems in Production

Build, evaluate and operate multi-agent systems with tools, MCP, orchestration and AgentOps.

3 daysInstructor-led, hands-on, lab-driven, project-based
Forward-Deployed AI Engineering (FDE-2)

Forward-Deployed AI Engineering (FDE-2) — Design, Build, and Deliver Enterprise AI Solutions

Design, build and deliver a multi-agent enterprise AI solution the way a forward-deployed engineer does.

3 daysInstructor-led, lab-driven, capstone project
GenAI Coach Program for Data Engineering

GenAI Coach Program for Data Engineering — Build, Operationalize, and Teach Practical GenAI Solutions

Apply GenAI across ingestion, transformation, data quality and governance, and coach others to adopt it.

5 daysInstructor-led, lab-driven, project-based
LangChain & LangGraph

LangChain & LangGraph — Build Stateful AI Agents, from Chatbot to Multi-Agent Workflow

Grow one assistant from a LangChain chatbot into a tool-using, multi-agent LangGraph application.

3 daysInstructor-led, lab-driven, continuous capstone project
Specs-Driven Development

Specs-Driven Development — From Vibe Coding to Reliable AI-Assisted Delivery

Replace vibe coding with specs: context, contracts, tasks, tests and review for AI-assisted delivery.

2 daysInstructor-led, hands-on, lab-driven, project-based