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Intermediate to Advanced6-8 hoursAgent use case map + architecture blueprint + governance framework

AI agents — what they are, how they work, the protocols shaping them (MCP, A2A), and the governance you need before you let one act on your behalf. The bridge between AI that talks and AI that does.

...reasoning patterns Protocols — MCP and A2A Tool use — giving agents hands Memory — what agents remember Multi-agent systems Governance — controlling agents The agent architecture in one diagram Cheat sheet...

2 DaysIntensive

Agent DesignWorkshop

AI Agents Agentic AI MCP A2A Multi Agent Systems AI Orchestration View Details

Automation & Agentic Systems

Intermediate to Advanced (SA, EA, TS)6-7 hoursAutomation opportunity map + agent architecture blueprint + MCP/A2A integration guide + Agentic Risk & Cost Framework

How AI-powered architectures that plan, act, and use tools autonomously are reshaping integration and workflow — covering agentic patterns, MCP and A2A protocols, orchestration frameworks, human-in-the-loop design, guardrails, observability, and economic risk management.

Quick Navigation Start here — The evolution of automation What agentic systems are Architecture patterns for agents MCP and A2A protocols Human-in-the-loop design Governance...

1.5 DaysIntensive

CurrentSA · EA · TS

Architecture AI Agents Agentic Systems MCP A2A Automation Orchestration View Details

AI Implementation & Technical Architecture

Intermediate to Advanced5-7 hoursAI architecture blueprint + MLOps framework + deployment playbook

Turning AI prototypes into reliable, scalable production systems. MLOps, model serving, RAG architecture, monitoring, and the engineering discipline that most AI projects are missing.

...that bridge development and operations. AI needs MLOps. The equivalent practices for machine learning systems, extended to address the unique challenges of ML: data versioning, model versioning, experiment...

2 DaysIntensive

ArchitectureBlueprint

AI Architecture MLOps Model Deployment AI Infrastructure Production AI View Details

ADR Templates: 5 Variations for Different Contexts + Governance Automation

One ADR template does not fit every architectural context. Five purpose-built variations — for standard decisions, agentic AI, cross-domain impact, fast delivery, and high-risk reversals — plus governance automation to make the system run without manual follow-up.

...context is defined by four variables: Reversibility — how costly is it to undo? Blast radius — how many systems or teams are affected? Decision origin — human or agent? Velocity requirement — does this need...

Enterprise Architecture Architecture Decision Records Governance Ai Governance Documentation Read Insight

From Creation to Autonomy: Understanding Generative AI, AI Agents, and Agentic AI Through a Workplace Analogy

A clear executive guide explaining Generative AI, AI Agents, and Agentic AI using a corporate office analogy to prevent autonomy risks in enterprise AI.

...understand this clearly, imagine your company as an office. The Corporate Office Analogy Think of AI systems as employees inside your organization. Some write. Some execute. Some manage. The difference...

Technology Strategy Ai Governance Enterprise Ai Execution Ai Ai Strategy Read Insight