Context Engineering Mastery: From AI Chaos to Intelligent Automation
Context Engineering
Program Description
Enterprises are deploying AI agents and automation tools everywhere, but they're failing because AI systems operate without understanding business context — industry regulations, customer nuances, operational constraints, and competitive positioning. Your chatbot answers generic questions. Your automation breaks on edge cases. Your intelligent agents miss critical business rules. The gap between AI capability and business outcome is widening. A financial advisor using an AI assistant without regulatory compliance context creates legal exposure. An HR system deploying an AI agent without compensation framework knowledge leads to hiring discrimination. A supply chain automation ignoring supplier relationship context causes operational disruption. The root cause is always the same: AI without context is AI without value. This 16-hour intensive program teaches the discipline of Context Engineering — capturing what makes your business unique and embedding that intelligence into AI systems. You'll learn to architect context layers (regulatory, operational, customer, strategic), build context graphs that connect business knowledge, implement context-aware AI agents, and govern context evolution as your business changes. Every module includes hands-on labs with real industry scenarios across Finance, HR, Sales, Supply Chain, Insurance, and Audit. You'll build a complete Context Architecture for a real business problem, implement it in Copilot Studio and Azure AI, test it against edge cases, and present measurable improvements in AI accuracy, compliance, and business outcomes.
What will you learn?
Learning Outcome
Design business context architectures that make AI systems industry-intelligent Build layered context systems embedding compliance, customer, operational, and strategic intelligence Implement context-aware AI agents using Copilot Studio and Azure AI platforms Create context governance frameworks with versioning, audit trails, and evolution management Lead organizational transformation from generic AI deployments to context-driven intelligent systems Audit and explain AI decisions by tracing them back to underlying business context
Modules
Modules
Module 1: Context Architecture Foundations (4 hrs)
Context mapping canvas, layering frameworks, business context identification, regulatory and operational context design
Module 2: Context Design Patterns & Knowledge Graphs (4 hrs)
Context taxonomies, knowledge graph construction, versioning strategies, temporal and role-based context
Module 3: Building Context-Aware AI Systems (4 hrs)
Implementing context in Copilot Studio, RAG with business context, testing context quality, scaling across departments
Module 4: Context Governance & Organizational Transformation (4 hrs)
Context lifecycle management, audit trails, change management, measuring context ROI, strategic roadmap
Modules
Module 1: Context Architecture Foundations (4 hrs)
Context mapping canvas, layering frameworks, business context identification, regulatory and operational context design
Module 2: Context Design Patterns & Knowledge Graphs (4 hrs)
Context taxonomies, knowledge graph construction, versioning strategies, temporal and role-based context
Module 3: Building Context-Aware AI Systems (4 hrs)
Implementing context in Copilot Studio, RAG with business context, testing context quality, scaling across departments
Module 4: Context Governance & Organizational Transformation (4 hrs)
Context lifecycle management, audit trails, change management, measuring context ROI, strategic roadmap