category
AI in Platform Engineering
Type
Virtual
Skill Level
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Learning Path
Virtual
Duration
1 Day
TYPE
Virtual
LEARNING PATH
SKILL LEVEL
DURATION
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R5 400,00
Price excluding VAT
Introduction
As Platform engineering has matured over the last few years, it has evolved into the foundational operating system of the modern enterprise and is fast becoming a board-level priority.
After launching the Practitioner and Professional certifications, many of you asked for something deeper, more technical, and hands-on. That’s why we built the Architect certification.
This course is for architects, platform engineers, and DevSecOps professionals who want to move beyond running clusters or building pipelines. It’s about learning how to design scalable platform foundations, embed security and compliance from day one, and enable developers through automation and clear interfaces.
Audience Profile
- Practitioners: DevOps and SREs who want to integrate AI into their workflows, automate complex tasks, and future-proof their careers for the AI-native era
- Platform Engineers: Individual contributors looking to build next-gen AI platforms, manage AI/ML workloads at scale, and lead AI infrastructure best practices within their organization
- Leaders: Head of platforms and product owners, tasked with driving the AI transformation strategy and want to manage architectural shifts towards AI-native platform setups
Pre-requisites
You’ll need to have completed the Platform Engineering Certified Practitioner course before joining. You should already be comfortable working with Kubernetes, using kubectl, deploying workloads and managing namespaces. Experience with Git, GitHub and Docker is expected, along with some familiarity with Policy as Code tools such as OPA, Gatekeeper, or Kyverno. If you’ve run CI/CD pipelines and know your way redeploying workload sound tools like VS Code, JetBrains, curl, or Postman, you’re good to go.
Platform Engineering University Overview
The Platform Engineering University is a structured learning and enablement initiative designed to build capability, maturity, and best practices in Platform Engineering across the organisation.
Torque IT has officially become a reselling training partner for the Platform Engineering University, enabling us to offer accredited, industry-aligned training to both internal teams and external partners. This partnership strengthens our ability to deliver high-quality, practical learning that supports modern platform operating models.
The University equips teams with the knowledge, tools, and hands-on skills required to design, build, operate, and continuously improve robust digital platforms. Learning is delivered through structured pathways that promote consistency, automation, security, and scalability across technology environments.
The Platform Engineering University focuses on key domains such as platform design, infrastructure automation, reliability, security, and service ownership. It establishes shared standards, frameworks, and ways of working that align technology delivery with business objectives.
Key objectives include:
- Developing platform engineering skills and capabilities
- Establishing consistent standards, tooling, and best practices
- Enabling self-service and automated delivery models
- Improving platform reliability, security, and scalability
- Supporting continuous learning and innovation
Through this initiative and partnership, Torque IT strengthens its role as a trusted technology enablement partner, supporting sustainable digital growth and future-ready platform capabilities.