Executives and business leadersGemini Enterprise Agent Platform for Leaders
Duration: Half day (proposed) · Format: Workshop, on site or live online
Who it is for
Technology and business sponsors on Google Cloud.
Prerequisites
Familiarity with your organisation's AI ambitions. No technical background needed.
Learning outcomes
- Understand the platform layers and who owns which decisions
- Frame build, buy and govern choices
- Set expectations for evaluation and oversight
Curriculum
- Platform map and naming (including Vertex AI)
- Model choice and total effort
- Governance responsibilities
- Roadmap and capability needs
Hands-on exercise
Map your planned use cases to platform layers and owners.
Takeaway materials
- Decision checklist for approving AI use cases
- One-page adoption roadmap template
- Board-level briefing outline
Completion outcome
ArniTech completion certificate (not a vendor certification).
Risk, compliance and security professionalsGoverning the Agent Platform: Access, Evaluation and Explainability
Duration: 1 day (proposed) · Format: Workshop with review exercises
Who it is for
Security, risk and compliance teams reviewing Google Cloud AI workloads.
Prerequisites
Working knowledge of your organisation's risk, security or compliance processes. No coding needed.
Learning outcomes
- Review identity, network and encryption boundaries for AI workloads
- Define evaluation and explainability evidence
- Set approval and monitoring checkpoints
Curriculum
- IAM, service perimeters and key management
- Model and agent evaluation evidence
- Explainability: what it can and cannot show
- Logging, review and change control
Hands-on exercise
Assess a sample agent deployment against a control checklist.
Takeaway materials
- Control-mapping worksheet
- Review checklist for AI use cases
- Evidence examples to request from delivery teams
Completion outcome
ArniTech completion certificate (not a vendor certification).
Engineers, architects and technical teamsBuilding on the Agent Platform: Model Selection, Evaluation and Agents
Duration: 2 days (proposed) · Format: Hands-on lab course
Who it is for
ML engineers, cloud architects and developers.
Prerequisites
Comfortable with APIs, cloud fundamentals and at least one programming language. A sandbox account is arranged with you before the course.
Learning outcomes
- Select and compare models for a defined task
- Build and evaluate a simple agent
- Apply least-privilege access and release gates
Curriculum
- Model catalogue and selection criteria
- Prompting and grounding with enterprise data
- Agent building with the platform's tooling
- Evaluation, tracing and monitoring
- Deployment and access design
Hands-on exercise
Compare two models on your use case using a repeatable evaluation.
Takeaway materials
- Reference architecture notes
- Annotated code samples from the labs
- Evaluation and release checklist
Completion outcome
ArniTech completion certificate (not a vendor certification).
Business users and functional teamsWorking with Gemini Enterprise and Governed Agents
Duration: Half day (proposed) · Format: Interactive workshop
Who it is for
Business teams using, or about to use, Gemini Enterprise.
Prerequisites
None beyond access to the relevant tool (or a demonstration environment we provide).
Learning outcomes
- Use assistants for common tasks safely
- Judge when an agent's answer needs checking
- Know what to report and to whom
Curriculum
- Everyday task patterns
- Working with company data sources
- Verification habits
- Escalation and acceptable use
Hands-on exercise
Complete realistic tasks and peer-review the results.
Takeaway materials
- Prompt and task pattern library for your functions
- Do and don't guide for sensitive data
- Quick-reference card
Completion outcome
ArniTech completion certificate (not a vendor certification).
