Master AI+ Context Engineering for Production-Grade AI Systems

• Context Strategy & Architecture: Learn how to design robust context architectures that go beyond prompts—managing instructions, memory, tools, and knowledge for reliable AI behavior across sessions and workflows.
• Building Context-Aware AI Systems: Gain hands-on skills in implementing context pipelines, RAG architecture, and memory systems that ensure grounded, accurate, and cost-efficient AI outputs.
• Context Management & Optimization: Master the Write-Select-Compress-Isolate (W-S-C-I) framework to control relevance, reduce hallucinations, optimize token usage, and scale AI systems effectively.
• Enterprise-Grade Context Integration: Learn how to integrate AI safely into enterprise environments with role-based access, compliance guardrails, secure memory, and conflict-free context orchestration.
• Future-Ready Agent & Workflow Design: Prepare for the next wave of AI by designing multi-agent systems, automated workflows, and context-driven architectures that remain reliable as models, tools, and scale evolve.
• Go beyond prompts Learn to engineer instructions, tools, memory, and state so AI behaves reliably.
• Production-ready systems Build RAG + context pipelines that reduce hallucinations and improve grounding.
• Scale with efficiency Master selection + compression to control token cost, latency, and performance.
• Enterprise-safe AI Apply PII controls, role-based filtering, and conflict resolution for compliant deployments.
• Real deliverable Complete a multi-agent capstone (n8n) with routing + calculations + policy RAG.