Role-Driven Mastery System

Master the skills the job market is actually hiring for.

Follow a job-market-audited Role Path, move through a discipline end-to-end with a Career Pathway, or pursue a university-benchmarked Academic Certificate — each with a Basic → Intermediate → Advanced ladder, direct video learning bridges and a capstone proof-of-work project.

Agent Mastery — Cross-Platform Portfolio Capstone

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Build the same consequential workflow independently in Claude, Microsoft Copilot, Google Cloud/GCP, OpenAI and AWS; then compare the systems with one evidence-backed architecture and operating review.

The final proof for Agent Mastery 2.0: one workflow, five vendor implementations, one side-by-side decision review.

Benchmark: Cross-platform requirement across Claude, Microsoft Copilot, Google Cloud/GCP, OpenAI and AWS (current Sep 2026)

Common Workflow Requirements

Every implementation must include

Grounded enterprise knowledge + at least one MCP server + two external tools + a consequential write action + explicit identity/permission boundaries + human approval + eval set + traces + error handling + deployment/runbook evidence.

Five Implementations

  • 01 – Claude / Anthropic: Build → test → trace → secure → deploy → document tradeoffs.
  • 02 – Microsoft Copilot: Build → test → trace → secure → deploy → document tradeoffs.
  • 03 – Google Cloud / GCP: Build → test → trace → secure → deploy → document tradeoffs.
  • 04 – OpenAI: Build → test → trace → secure → deploy → document tradeoffs.
  • 05 – AWS / Bedrock AgentCore: Build → test → trace → secure → deploy → document tradeoffs.

Side-by-Side Decision Matrix

01

Agent/runtime abstraction

02

MCP implementation + portability

03

Identity / delegated authorization

04

Memory / state model

05

Multi-agent orchestration

06

Eval + observability depth

07

Security / sandboxing

08

Latency + cost + operational burden

09

Deployment + scaling

10

Best-fit workload and lock-in tradeoffs

Final Defense

Deliver a 10-minute architecture review plus repository/demo bundle. Defend why each vendor implementation differs, where protocols actually improve portability, which security controls are non-negotiable, what the evals exposed, and which platform you would select for the target workload — with evidence rather than brand preference.