Detailed Course Outline
Module 1 - The Shift to Agency
Topics:
- 1. The Pillars & Governance
- 2. The Architectural Friction Forces
- 3. The Autonomous Maturity Scale
Objectives:
- Analyze the "Agency Gap" by diagnosing the functional intersection of Reasoning, Memory, and Tools with Data Governance to move from Track A (Chat) to Track B (Workers).
- Diagnose the four technical frictions (Integration, Statelessness, Latency, and Governance) that prevent AI pilots from scaling into production.
- Evaluate infrastructure readiness using the L1–L5 Maturity Scale to prioritize "Paved Road" investments for Level 4+ autonomy.
Activities:
- 1 Use Case
- 2 Case Studies
- 1 Demo
Module 2 - Building the "Paved Road"
Topics:
- 1. Reference Stack & Tool Archetypes
- 2. The Memory Decision Guide
- 3. Multi-Agent Orchestration Patterns
- 4. The Paved Road Lifecycle
Objectives:
- Apply the Vertex AI SDK and Vertex AI Reasoning Engine to standardize agent deployment and manage persistent conversation state.
- Evaluate the trade-offs between AlloyDB and Vertex AI Vector Search to select the optimal storage layer for metadata-heavy vs. high-scale agents.
- Apply specific orchestration patterns (Hub-and-Spoke, Linear Relay, or Parallel Critic) to manage complex, multi-departmental goals.
- Design an agentic deployment arc from Sandbox to Certified production to ensure infrastructure precedes autonomous action.
Activities:
- 4 Demos
Module 3 - The Autonomous Perimeter
Topics:
- 1. Threat Modeling for Agentic Systems
- 2. Identity Hierarchy & Credentials
- 3. Defending the Boundary: Model Armor
- 4. Responsible AI & Human-in-the-Loop
Objectives:
- Apply agentic threat modeling to identify and mitigate risks like Indirect Prompt Injection and Tool-Chaining exploits.
- Apply a three-layer identity model using Workload Identity Federation to ensure "Least Privilege" for autonomous workers.
- Apply Model Armor as a real-time security proxy to filter malicious inputs and redact sensitive output data.
- Analyze Responsible AI production requirements to embed accountability, traceability, and "Human-in-the-Loop" checkpoints within the Autonomous Perimeter.
Activities:
- 1 Use Case
- 4 Demos
Module 4 - Sustaining Autonomy
Topics:
- 1. Infrastructure ROI
- 2. The GenAIOps Lifecycle
- 3. The Innovation Harvest
Objectives:
- Analyze platform ROI by shifting from vanity metrics to Infrastructure Leverage Ratios and Component Reusability to prove the value of the "Paved Road."
- Apply a continuous feedback loop using Golden Datasets and reasoning traces to detect and remediate "Reasoning Drift."
- Apply the "Innovation Harvest" methodology to scale successful siloed tools into global, certified Gemini Enterprise assets.
Activities:
- 1 Use Case
- 1 Demo
Module 5 - Summary and Quiz
Topics:
- Review of Core Concepts
Objectives:
- Evaluate understanding of core course concepts through scenario-based questions.
Activities:
- 5 scenario-based multiple choice questions.