Executives and business leadersMicrosoft Foundry for Leaders
Duration: Half day (proposed) · Format: Workshop, on site or live online
Who it is for
Technology and business sponsors on Azure.
Prerequisites
Familiarity with your organisation's AI ambitions. No technical background needed.
Learning outcomes
- Understand what Foundry offers and the naming history
- Frame build, buy and operate decisions
- Set accountability for deployed AI
Curriculum
- Platform overview
- Model choice and operating effort
- Governance and ownership
- Roadmap
Hands-on exercise
Align a candidate application with owners and checkpoints.
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 professionalsContent Safety, Evaluation and Access Control in Microsoft Foundry
Duration: 1 day (proposed) · Format: Workshop with review exercises
Who it is for
Security, risk and compliance reviewers.
Prerequisites
Working knowledge of your organisation's risk, security or compliance processes. No coding needed.
Learning outcomes
- Assess content-safety controls and their limits
- Review identity and network boundaries
- Define evaluation and monitoring evidence
Curriculum
- Content safety configuration concepts
- Identity, networking and data boundaries
- Evaluation evidence
- Operational monitoring and incidents
Hands-on exercise
Review a sample deployment and record control gaps.
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 and Operating AI Applications on Microsoft Foundry
Duration: 2 days (proposed) · Format: Hands-on lab course
Who it is for
Developers, ML engineers and cloud architects.
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 models and build a grounded application or agent
- Evaluate quality and safety systematically
- Deploy with access, monitoring and cost controls
Curriculum
- Model catalogue and selection
- Application and agent development
- Evaluation and content safety
- Deployment and operations
- Governance hooks and change control
Hands-on exercise
Build an application, add evaluation, and define its release gate.
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 Foundry-Built Applications
Duration: Half day (proposed) · Format: Interactive workshop
Who it is for
Staff using AI applications your teams built on Foundry.
Prerequisites
None beyond access to the relevant tool (or a demonstration environment we provide).
Learning outcomes
- Use the application as intended
- Judge and verify results
- Report issues and gaps
Curriculum
- What the application is designed for
- Effective inputs
- Checking outputs
- Feedback and escalation
Hands-on exercise
Test the application with real cases and log feedback.
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).
