Module 1: Foundations of Context Engineering

1.1 What is Context Engineering?

1.2 The Paradigm Shift: From Prompt to Context

1.3 The Four Building Blocks of Context

1.4 The Core Benefits of Context Engineering

1.5 LLM Memory and Context

1.6 Case Studies in Production Context Engineering

Module 2: Context Management Patterns & Techniques

2.1 The Context Management Framework

2.2 WRITE Context (Defining Identity and State)

2.3 SELECT Context (Precision Retrieval)

2.4 COMPRESS Context (Efficiency and Scaling)

2.5 ISOLATE Context (Defining Boundaries and Scope)

2.6 Advanced Retrieval & Compression Techniques (LlamaIndex/LangChain)

2.7 Tool Selection as Context

2.8 Case Studies – From Branching Reasoning to Unified Context Flow

2.9 Conclusion and Module Summary

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

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

3.2 Retrieval-Augmented Generation (RAG) Architecture Deep Dive

3.3 Conceptual & Practical Vector Databases

3.4 Context Quality Challenges: Grounding Failures and Mitigation

3.5 Orchestration Frameworks: Building State and Flow

3.6 Case Study: Anthropic’s Multi-Agent Researcher

Module 4: Optimization, Scaling, and Enterprise Readiness

4.1 Cost and Performance Optimization: The Economic Context Pipeline

4.2 Context Scaling and the Model Context Protocol (MCP)

4.3 Security and Compliance: Guardrails for Enterprise Context

4.4 Context Consistency & Conflict Resolution

4.5 Multi-Modal Context: Unlocking Unstructured Enterprise Data

4.6 Real-World Case Studies

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

5.1 Introduction to Context Flow Architecture for the Business User

5.2 Mapping Business Processes to AI-Ready Context Flows

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

5.4 Business-Friendly Context Management: Templates and Summaries

5.5 Designing a Dynamic Customer Onboarding Assistant

5.6 Context for Automated Workflows: The Link to AWA

5.7 Real-World Enterprise Success in Context Flow Design

Module 6: Real-World Industry Context Applications

6.1 The Context Engineering Imperative in Regulated Domains

6.2 Healthcare: Clinical Decision Support and Patient Safety

6.3 Finance: Real-Time Analysis and Regulatory Adherence

6.4 Legal and Education: Precision and Personalized Context

6.5 Industry Context Risk Mitigation

6.6 Context Engineering for Advanced AI Agents

6.7 Detailed Real-World Case Studies

6.8 Conclusion and Module Summary

Module 7: Multi-Agent Orchestration & The Future

7.1 The Architectural Imperative of Multi-Agent Systems

7.2 Multi-Agent Context Communication & Flow Design

7.3 Controlling Agent Behavior through System Context and Guardrails

7.4 Future Trends: The Impact of Scale and Automation

7.5 Ethics & Responsible Use in Coordinated Systems

7.6 Case Studies in Enterprise Multi-Agent Deployment

7.7 Career Pathways: The Context Architect and AI Governance

Module 8: Capstone

8.1 Title: Multi-Agent Query Router with Financial Calculations & Policy RAG (n8n