AI for every role
Executive, developer, architect, tester, analyst, content and productivity tracks use relevant examples instead of a one-size-fits-all syllabus.
Programs available for corporate delivery
Practical learning across leading AI assistants, model platforms, RAG, agents, multimodal systems, security, evaluation and responsible enterprise adoption.
Customized AI sessions
Choose a 2–5 day schedule, then combine the right platforms, depth and hands-on work for your audience.
Executive, developer, architect, tester, analyst, content and productivity tracks use relevant examples instead of a one-size-fits-all syllabus.
Choose OpenAI, Azure AI, Microsoft Foundry, GitHub Copilot, Microsoft Copilot, Claude, Gemini, Grok—or a vendor-neutral comparison.
Labs can reflect your domain, data boundaries, security model, application stack and approved tools.
Select an awareness session, focused workshop, multi-day practitioner course, architecture clinic or mentored capstone.
Program scope, duration, platforms and labs are finalized through requirement discovery. Programs are customizable offerings; delivery history is not claimed.
Showing 32 programs
Build a practical foundation for selecting and evaluating enterprise AI use cases.
View programDesign, test and secure prompts for reliable software workflows.
View programDevelop production-minded AI features with current OpenAI APIs in Python and C#.
View programBuild, evaluate and monitor enterprise AI applications using Microsoft Foundry.
View programIntegrate Azure-hosted models with enterprise identity, networking and governance.
View programCreate grounded, access-aware assistants over organizational knowledge.
View programEngineer controlled agents and workflows with current Microsoft agent tooling.
View programExtend established Semantic Kernel solutions and plan migration where appropriate.
View programBuild observable, stateful Python agents with controlled workflows.
View programBuild secure MCP clients and servers with explicit permission boundaries.
View programIntegrate resilient AI capabilities into modern .NET web systems.
View programDevelop tested, container-ready AI services using modern Python.
View programDesign resilient, cost-aware distributed systems containing AI workloads.
View programCreate privacy-aware experiences across text, image, audio and documents.
View programBuild human-verifiable document extraction and classification workflows.
View programEngineer secure, measurable search and retrieval layers for AI applications.
View programThreat-model and harden AI applications, tools and retrieval pipelines.
View programTranslate responsible AI principles into practical engineering controls.
View programMeasure and improve AI quality, reliability, latency and cost in production.
View programAdopt AI assistance across delivery while protecting code and preserving human review.
View programTurn a priority use case into a defensible integration architecture and roadmap.
View programCombine retrieval, controlled action and evaluation in an end-to-end enterprise capstone.
View programUse Grok for research, technical exploration and current-information workflows with disciplined verification.
View programAdopt Copilot across software delivery and knowledge work with secure, measurable team practices.
View programApply Claude to long-context analysis, software engineering and document-intensive business workflows.
View programBuild practical workflows with Gemini across Google Workspace, software development and multimodal use cases.
View programUse GitHub Copilot to draft and maintain tests while validating assertions and coverage.
View programUse Codex and other coding assistants in controlled implementation and delivery workflows.
View programTurn requirements into architecture options and reviewable technical diagrams.
View programCreate business content across text, images, audio and video with a review process.
View programPrototype departmental automation with explicit data boundaries and human review.
View programSelect model and retrieval components for enterprise knowledge prototypes.
View programStart a focused conversation
Share your audience, objectives and preferred delivery format. The curriculum can be shaped around your engineering environment.