The workplace problem
Why this learning matters
Cloud and platform teams need to gain useful AI assistance without allowing opaque automation, excessive privilege, weak evidence, or unreliable changes into production infrastructure.
Specialist
AI for Cloud, Platform and Infrastructure Engineering
Specialist depth for using AI across cloud, platform, infrastructure, automation, observability, reliability, security, cost, and incident work.
Intended outcomes
What participants will learn to do
- Apply AI assistance to bounded platform and infrastructure engineering activities with least-privilege and review controls.
- Improve architecture, automation, observability, reliability, cost, and incident analysis without bypassing accountable operations.
- Define evidence and rollback expectations for AI-assisted infrastructure change.
Application at work
How participants can apply it at work
- A reviewed AI-assisted platform workflow with authority and audit boundaries.
- A change-evidence and rollback checklist applied to representative infrastructure work.
Shaped to context
Shaped around your context
Flow Cracker shapes this specialist workshop around the customer's cloud and platform architecture, approved tools, access model, operating controls, reliability needs, and cost context.
Entry context: Participants should bring practical experience in cloud platforms, infrastructure as code, CI/CD, containers, security, reliability, or production operations.
Who it is for
Who this is for
- Cloud, platform, infrastructure, DevOps, and site reliability engineers
- Cloud and platform architects and security engineers
- Technical leads and managers responsible for production platforms and developer enablement
Opportunity lenses
- AI to build the product
Capabilities strengthened
- Engineering, Architecture & Verification
- Enterprise, Portfolio & Investment Flow
Connected learning
Related offers
Discuss the context
Shape the learning around the work that needs to change
Share the audience, workplace problem, constraints, and evidence you want the learning to address.
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