AI+ Context Engineering - Self-paced

Course subjects

Module 1: Foundations of Context Engineering

• What is Context Engineering?

• The Paradigm Shift: From Prompt to Context

• The Four Building Blocks of Context

• The Core Benefits of Context Engineering

• LLM Memory and Context

• Case Studies in Production Context Engineering

Module 2: Context Management Patterns & Techniques

• The Context Management Framework

• WRITE Context (Defining Identity and State)

• SELECT Context (Precision Retrieval)

• COMPRESS Context (Efficiency and Scaling)

• ISOLATE Context (Defining Boundaries and Scope)

• Advanced Retrieval & Compression Techniques (LlamaIndex/LangChain)

• Tool Selection as Context

• Case Studies – From Branching Reasoning to Unified Context Flow

• Conclusion and Module Summary

Module 3: The Context Pipeline, RAG, and Grounding Architecture

• The Context Pipeline: An End-to-End System View

• Retrieval-Augmented Generation (RAG) Architecture Deep Dive

• Conceptual & Practical Vector Databases

• Context Quality Challenges: Grounding Failures and Mitigation

• Orchestration Frameworks: Building State and Flow

• Case Study: Anthropic’s Multi-Agent Researcher

Module 4: Optimization, Scaling, and Enterprise Readiness

• Cost and Performance Optimization: The Economic Context Pipeline

• Context Scaling and the Model Context Protocol (MCP)

• Security and Compliance: Guardrails for Enterprise Context

• Context Consistency & Conflict Resolution

• Multi-Modal Context: Unlocking Unstructured Enterprise Data

• Real-World Case Studies

Module 5: Context Flow Design for Business Users: Architecting Reliable AI via No-Code Platforms

• Introduction to Context Flow Architecture for the Business User

• Mapping Business Processes to AI-Ready Context Flows

• No-Code Tools for Flow Control: Implementing W-S-C-I Visually

• Business-Friendly Context Management: Templates and Summaries

• Designing a Dynamic Customer Onboarding Assistant

• Context for Automated Workflows: The Link to AWA

• Real-World Enterprise Success in Context Flow Design

Module 6: Real-World Industry Context Applications

• The Context Engineering Imperative in Regulated Domains

• Healthcare: Clinical Decision Support and Patient Safety

• Finance: Real-Time Analysis and Regulatory Adherence

• Legal and Education: Precision and Personalized Context

• Industry Context Risk Mitigation

• Context Engineering for Advanced AI Agents

• Detailed Real-World Case Studies

• Conclusion and Module Summary

Module 7: Multi-Agent Orchestration & The Future

• The Architectural Imperative of Multi-Agent Systems

• Multi-Agent Context Communication & Flow Design

• Controlling Agent Behavior through System Context and Guardrails

• Future Trends: The Impact of Scale and Automation

• Ethics & Responsible Use in Coordinated Systems

• Case Studies in Enterprise Multi-Agent Deployment

• Career Pathways: The Context Architect and AI Governance

Module 8: Capstone

• Title: Multi-Agent Query Router with Financial Calculations & Policy RAG (n8n implementation)