Drive Team Excellence with Platform Engineering Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Platform Engineering Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

Platform Engineering is the discipline of designing, building, and operating internal developer platforms that enable software engineering teams to self-serve infrastructure, tooling, and deployment workflows. By treating the platform as a product, platform engineering teams reduce cognitive load, accelerate delivery, and improve developer experience across organizations. This training covers platform architecture, Kubernetes orchestration, self-service APIs, CI/CD pipeline design, observability, and platform security, equipping teams to build and scale production-ready internal platforms.

Edstellar's Platform Engineering Instructor-led course offers virtual/onsite training options to meet professionals' diverse needs. This flexibility ensures that professionals and teams can engage in learning experiences that best suit their logistical and learning preferences. What sets the Edstellar course apart is its emphasis on practical experience, with hands-on labs and real-world platform scenarios that bring concepts to life. Edstellar equips professionals with the skills and confidence to design, deploy, and operate internal developer platforms that drive measurable improvements in developer productivity and delivery performance.

Get Customized Expert-led Training for Your Teams
Customized Training Delivery
Scale Your Training: Small to Large Teams
In-person Onsite, Live Virtual or Hybrid Training Modes
Plan from 2000+ Industry-ready Training Programs
Experience Hands-On Learning from Industry Experts
Delivery Capability Across 100+ Countries & 10+ Languages
""""

Key Skills Employees Gain from Instructor-led Platform Engineering Training

Platform Engineering skills corporate training will enable teams to effectively apply their learnings at work.

  • Platform Architecture and Design
  • Self-Service API and Portal Development
  • Kubernetes Platform Orchestration
  • CI/CD Pipeline Engineering
  • Developer Experience (DevEx) Optimization
  • Platform Observability and Monitoring
  • Platform Security and Governance

Key Learning Outcomes of Platform Engineering Training Workshop

Upon completing Edstellar’s Platform Engineering workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

  • Master platform engineering fundamentals including platform-as-a-product thinking, internal platform models, and team topologies that reduce developer cognitive load.
  • Gain expertise in platform architecture and design by applying layered abstractions, paved road patterns, and golden path frameworks for scalable internal platforms.
  • Develop proficiency in Kubernetes platform orchestration, covering multi-tenant cluster management, namespace policies, and workload automation for shared environments.
  • Learn to engineer CI/CD pipelines for platform delivery using pipeline templates, reusable workflows, artifact management, and automated compliance gates.
  • Build skills in platform observability by deploying monitoring stacks, defining SLOs, and using distributed tracing to ensure platform reliability and performance.
  • Apply platform security and governance practices including policy-as-code, RBAC, secrets management, and audit automation across the platform lifecycle.

Key Benefits of the Platform Engineering Group Training

Attending our Platform Engineering group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

  • Understand platform engineering principles by exploring the internal platform model, platform-as-a-product thinking, and the role of platform teams in reducing developer cognitive load.
  • Design scalable platform architectures using layered abstractions, paved road patterns, and modular service boundaries that support diverse engineering teams.
  • Build and expose self-service APIs and developer portals that enable teams to provision infrastructure, deploy services, and manage resources without platform team intervention.
  • Implement Kubernetes-based platform orchestration covering cluster setup, multi-tenancy, namespace policies, and workload management for shared platform environments.
  • Engineer CI/CD pipelines tailored for platform delivery, including pipeline templating, reusable workflows, artifact management, and automated quality gates.
  • Optimize developer experience (DevEx) by measuring developer satisfaction, reducing toil, streamlining onboarding, and creating intuitive platform interfaces.
  • Deploy platform observability stacks using metrics, logs, and distributed tracing to monitor platform health, SLOs, and service reliability across teams.
  • Apply platform security and governance practices including policy-as-code, role-based access control, secrets management, and compliance automation.
  • Drive platform adoption through structured developer onboarding programs, platform documentation standards, feedback loops, and internal community building.
  • Assess platform engineering maturity and build golden paths that standardize how teams build, deploy, and operate software on the internal platform.

Topics and Outline of Platform Engineering Training

Our virtual and on-premise Platform Engineering training curriculum is structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both relevant and practical.

  1. Platform Engineering Fundamentals
    • Definition and scope of platform engineering
    • Platform-as-a-product thinking principles
    • Differences between platform and DevOps teams
    • Business value of internal developer platforms
  2. Team Topologies and Platform Teams
    • Stream-aligned and platform team models
    • Cognitive load reduction strategies
    • Team interaction modes and APIs
    • Organizational design for platform success
  3. Internal Developer Platform Overview
    • Core components of an IDP
    • Platform capabilities and service layers
    • Relationship between IDP and developer portals
    • Platform ecosystem and toolchain landscape
  4. Platform Engineering Maturity Models
    • Maturity levels from ad-hoc to optimized
    • Assessing current platform capabilities
    • Roadmap planning for platform growth
    • Benchmarks and success metrics
  5. Platform Engineering Use Cases
    • Self-service infrastructure provisioning scenarios
    • Standardized deployment workflow examples
    • Developer onboarding acceleration patterns
    • Compliance and governance automation cases
  6. Platform Engineering Culture and Practices
    • Treating platform as an internal product
    • User research for platform teams
    • Feedback loops and iteration cycles
    • Building trust with developer communities
  1. Understanding Developer Experience
    • Definition and dimensions of DevEx
    • Flow state and developer productivity research
    • Cognitive load measurement approaches
    • Common DevEx pain points in organizations
  2. Measuring Developer Experience
    • DORA metrics and their application
    • SPACE framework for developer productivity
    • Developer surveys and feedback collection
    • Quantitative vs qualitative measurement methods
  3. Platform Thinking for DevEx
    • Designing platform capabilities around developer needs
    • Paved road vs guardrails philosophy
    • Reducing context switching for developers
    • Balancing flexibility with standardization
  4. Developer Portal Design
    • Portal components and information architecture
    • Service catalog and software templates
    • Documentation and discoverability features
    • Single pane of glass for developer workflows
  5. Toil Reduction and Automation
    • Identifying and quantifying toil in engineering
    • Automation strategies for repetitive tasks
    • Self-service workflow design patterns
    • Measuring toil reduction outcomes
  6. DevEx Improvement Programs
    • Onboarding time reduction initiatives
    • Platform adoption incentive strategies
    • Developer champions and community programs
    • Iterative improvement cycles for platform UX
  1. Platform Architecture Fundamentals
    • Layered platform architecture models
    • Separation of concerns in platform design
    • Abstraction levels for infrastructure and services
    • Platform boundary definition and ownership
  2. Modular Platform Design
    • Component-based platform architecture patterns
    • Platform capability decomposition strategies
    • API-first design for platform services
    • Loose coupling and high cohesion principles
  3. Golden Paths and Paved Roads
    • Defining golden path standards for teams
    • Template-based project scaffolding
    • Versioning and evolving golden paths
    • Escape hatches for non-standard workflows
  4. Platform Data Flow and Integration
    • Event-driven platform integration patterns
    • Internal APIs and service mesh integration
    • Data flow for audit, logging, and compliance
    • Cross-team data sharing standards
  5. Scalability and Reliability Design
    • Horizontal scaling patterns for platform services
    • High availability and fault tolerance design
    • Multi-region platform architecture considerations
    • Capacity planning for shared platforms
  6. Platform Architecture Review
    • Architecture decision records (ADRs)
    • Technical debt management in platforms
    • Architecture review processes and governance
    • Evolving platform architecture over time
  1. Infrastructure Abstraction Concepts
    • Abstraction layers for compute, network, and storage
    • Infrastructure-as-code foundations for platforms
    • Declarative vs imperative infrastructure models
    • Platform contracts and service-level agreements
  2. Self-Service Infrastructure Design
    • Self-service provisioning workflow patterns
    • Request-driven vs policy-driven provisioning
    • Quota management and resource governance
    • Approval workflows and automated guardrails
  3. Platform API Design
    • RESTful and gRPC API design for platform services
    • API versioning and backward compatibility
    • Authentication and authorization for platform APIs
    • API documentation standards and tooling
  4. Terraform and Infrastructure-as-Code for Platforms
    • Terraform module design for reusable infrastructure
    • State management and remote backends
    • Policy enforcement with Sentinel or OPA
    • Terraform Cloud and Atlantis for team workflows
  5. Crossplane and Kubernetes-Native Infrastructure
    • Crossplane architecture and composite resource design
    • Provider configuration and managed resources
    • Composition layers for self-service infra APIs
    • Integrating Crossplane with GitOps workflows
  6. Self-Service Portal Implementation
    • Portal backend integration with infrastructure APIs
    • User interface components for self-service actions
    • Workflow engine integration for complex provisioning
    • Audit trails and activity logging for self-service events
  1. Kubernetes Platform Fundamentals
    • Kubernetes architecture review for platform engineers
    • Control plane and data plane components
    • Cluster provisioning and lifecycle management
    • Managed Kubernetes services (EKS, AKS, GKE)
  2. Multi-Tenancy in Kubernetes
    • Namespace-based tenant isolation models
    • Resource quotas and limit ranges per tenant
    • Network policies for tenant isolation
    • Hierarchical namespaces and virtual clusters
  3. Kubernetes Operators and Custom Resources
    • Custom Resource Definition (CRD) design
    • Operator pattern and reconciliation loops
    • Building platform capabilities as Kubernetes operators
    • Operator SDK and Kubebuilder frameworks
  4. GitOps for Platform Delivery
    • GitOps principles and declarative configuration
    • Flux and ArgoCD for platform workload management
    • Repository structure for GitOps workflows
    • Drift detection and automated remediation
  5. Cluster Lifecycle and Upgrade Management
    • Cluster upgrade strategies and rollback plans
    • Node pool management and autoscaling
    • Cluster fleet management with Cluster API
    • Blue-green cluster migration patterns
  6. Platform Workload Management
    • Workload scheduling and affinity rules
    • Pod disruption budgets and reliability controls
    • Horizontal and vertical pod autoscaling
    • Karpenter and node-level autoscaling strategies
  1. CI/CD Pipeline Architecture for Platforms
    • Pipeline-as-code design principles
    • Shared pipeline library patterns
    • Monorepo vs polyrepo pipeline strategies
    • Pipeline versioning and backward compatibility
  2. Reusable Pipeline Templates
    • Template inheritance and parameterization
    • Centralized pipeline component registries
    • Language and framework-specific pipeline templates
    • Template governance and maintenance workflows
  3. Build and Artifact Management
    • Standardized build environments and base images
    • Artifact versioning and promotion workflows
    • Container image scanning and signing
    • Artifact registry management (JFrog, ECR, GAR)
  4. Automated Quality Gates
    • Static analysis and code quality enforcement
    • Security scanning integration in CI pipelines
    • Test coverage thresholds and enforcement
    • Policy-as-code gates with OPA and Conftest
  5. Deployment Strategies and Release Automation
    • Canary, blue-green, and rolling deployment patterns
    • Feature flag integration in deployment pipelines
    • Progressive delivery with Argo Rollouts or Flagger
    • Automated rollback and incident response hooks
  6. Pipeline Observability and Optimization
    • Pipeline metrics collection and dashboarding
    • Mean time to merge and deployment frequency tracking
    • Bottleneck identification in CI/CD workflows
    • Pipeline cost optimization and resource efficiency
  1. Observability Fundamentals for Platforms
    • Three pillars of observability: metrics, logs, traces
    • Observability vs monitoring distinctions
    • Cardinality, dimensionality, and resolution trade-offs
    • Observability-as-a-service for internal platform teams
  2. Metrics Collection and Dashboarding
    • Prometheus metrics collection and scraping
    • Grafana dashboard design for platform health
    • Custom metrics for platform-specific KPIs
    • Alertmanager configuration and routing rules
  3. Distributed Tracing Implementation
    • OpenTelemetry instrumentation for platform services
    • Jaeger and Tempo tracing backend setup
    • Trace sampling strategies for high-volume platforms
    • Correlating traces with logs and metrics
  4. Log Aggregation and Analysis
    • Centralized log collection with Loki or Elasticsearch
    • Structured logging standards for platform services
    • Log retention, archival, and cost management
    • Log-based alerting and anomaly detection
  5. Service Level Objectives (SLOs)
    • Defining SLIs and SLOs for platform services
    • Error budget calculation and burn rate alerts
    • SLO dashboards and stakeholder reporting
    • SLO-driven incident management processes
  6. Platform Health and Capacity Management
    • Resource utilization tracking across platform services
    • Capacity forecasting and proactive scaling
    • Cost attribution and showback/chargeback models
    • Platform health scorecards for leadership reporting
  1. Platform Security Architecture
    • Zero trust principles for internal platforms
    • Defense-in-depth for platform services
    • Threat modeling for platform infrastructure
    • Security boundary definition in multi-tenant platforms
  2. Identity and Access Management
    • RBAC and ABAC models for platform access
    • Service account and workload identity management
    • SSO and OIDC integration for developer portals
    • Privileged access management and just-in-time access
  3. Secrets Management
    • HashiCorp Vault integration for platform secrets
    • Kubernetes external secrets operator patterns
    • Secret rotation automation and lifecycle management
    • Audit logging for secret access events
  4. Policy-as-Code and Governance
    • Open Policy Agent (OPA) implementation for platforms
    • Gatekeeper admission control in Kubernetes
    • Policy lifecycle management and versioning
    • Compliance reporting and evidence collection automation
  5. Supply Chain Security
    • Software Bill of Materials (SBOM) generation
    • Container image signing with Cosign and Notary
    • Dependency vulnerability scanning in CI pipelines
    • Secure artifact promotion workflows
  6. Security Incident Response for Platforms
    • Incident detection using platform observability signals
    • Automated remediation playbooks for common threats
    • Forensics and post-incident analysis procedures
    • Security drill and tabletop exercise frameworks
  1. Platform Adoption Strategy
    • Adoption funnel model for internal platforms
    • Identifying early adopters and champion teams
    • Incentive structures for platform adoption
    • Migration pathways from legacy toolchains
  2. Developer Onboarding Program Design
    • Onboarding journey mapping for new developers
    • Day-one platform access and environment setup automation
    • Interactive tutorials and sandbox environments
    • Onboarding time tracking and reduction metrics
  3. Platform Documentation Standards
    • Docs-as-code documentation workflows
    • API reference and runbook standards
    • Architecture decision record (ADR) templates
    • Documentation discoverability and search integration
  4. Internal Community and Support Models
    • Platform office hours and support channel design
    • Internal developer community building strategies
    • Platform feedback collection and triage processes
    • Ambassador and champion program frameworks
  5. Platform Communication and Marketing
    • Internal product launch strategies for platform features
    • Release notes and changelog communication formats
    • Platform roadmap sharing with engineering stakeholders
    • Showcasing platform wins and developer success stories
  6. Measuring Adoption Success
    • Platform adoption rate and active user tracking
    • Feature usage analytics and funnel analysis
    • Developer satisfaction score (DevSat) measurement
    • Correlating adoption metrics with delivery outcomes
  1. Platform Maturity Assessment
    • Maturity framework dimensions and scoring criteria
    • Self-assessment tooling for platform teams
    • Gap analysis and priority identification
    • Benchmarking against industry maturity standards
  2. Golden Path Definition and Governance
    • Golden path scope and component selection
    • Stakeholder alignment for golden path standards
    • Version lifecycle management for golden paths
    • Deviation request and exception handling processes
  3. Platform Roadmap Planning
    • OKR-based platform roadmap development
    • Prioritization frameworks for platform investments
    • Dependency mapping across platform capabilities
    • Communicating platform strategy to leadership
  4. Continuous Improvement for Platforms
    • Platform retrospective and improvement cycle design
    • Data-driven platform optimization approaches
    • Experimentation frameworks for platform changes
    • Learning from platform incidents and near-misses
  5. Platform Cost Management
    • FinOps principles applied to internal platforms
    • Cost visibility and attribution for platform consumers
    • Reserved capacity and spot instance strategies
    • Right-sizing and waste elimination in platform infrastructure
  6. Platform Engineering Leadership
    • Building and scaling a platform engineering organization
    • Executive sponsorship and stakeholder management
    • Cross-functional collaboration with security and product teams
    • Measuring and reporting platform ROI to business leaders

Who Can Take the Platform Engineering Training Course

The Platform Engineering training program can also be taken by professionals at various levels in the organization.

  • Platform Engineers
  • DevOps Engineers
  • Site Reliability Engineers (SREs)
  • Cloud Infrastructure Architects
  • Engineering Managers
  • Backend Developers

Prerequisites for Platform Engineering Training

Professionals should have a working knowledge of Linux, cloud infrastructure concepts, containerization with Docker, and basic scripting, along with familiarity with CI/CD principles and version control systems, to take the Platform Engineering training course.

Request a Quote for your Corporate Training Requirements

Valid number

Delivering Training for Organizations across 100 Countries and 10+ Languages

Corporate Group Training Delivery Modes
for Platform Engineering Training

At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Platform Engineering training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

Virtual Platform Engineering Training

Edstellar's Platform Engineering virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
On-site Platform Engineering Training

Edstellar's Platform Engineering inhouse face to face instructor-led training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
Off-site Platform Engineering Training

Edstellar's Platform Engineering offsite face-to-face instructor-led group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

Explore Our Customized Pricing Package
for
Platform Engineering Corporate Training

Looking for pricing details for onsite, offsite, or virtual instructor-led Platform Engineering training? Get a customized proposal tailored to your team’s specific needs.

Request a Group Training Quote
""
How Many Team Members Need Training?
Please select an option or fill in the custom field.
"'

Is Your Corporate Training Requirement Only for Platform Engineering?

Please select at least one course.
""
Add the List of Training Workshops
search icon

      Please select the course

      No. of Courses selected: 0

      Clear

      Upload a CSV

      Send us your Training Requirements in 3 Easy steps

      1. 1
      2. 2
        Add the required training workshops
      3. 3
        Upload to get a quick quote or email it to contact@edstellar.com

      ""

      Looking for a Complete Package?

      Looking for a one-time pricing option for all your annual training requirements?

      View Corporate Training Packages
      ""
      Select the Option that Best Describes Your Corporate Training Requirement

      Please select an option or choose from the recurring options.
      ""
      Verify and Submit Your Request

      Review Your Corporate Training Selection Summary

      Training Program: Platform Engineering Training

      1. No of Team Members

      2. Selected Training Preference

      3. Selected Recurring Sessions

      1

      Review your Requirements

      Training Workshops Selected :


        Excel
        File has been
        successfully uploaded.
        Fill the form to submit
 your details
        Submit Your Professional Contact Information
        Valid number
        We've received your enquiry. Our team will be in touch soon.
        Oops! Something went wrong while submitting the form.
        Starter
        120 licences

        Tailor-Made Trainee Licenses with Our Exclusive Training Packages!

        View Package

        64 hours of group training (includes VILT/In-person On-site)

        Tailored for SMBs

        Growth
        320 licences

        Tailor-Made Trainee Licenses with Our Exclusive Training Packages!

        View Package

        160 hours of group training (includes VILT/In-person On-site)

        Ideal for growing SMBs

        Enterprise
        800 licences

        Tailor-Made Trainee Licenses with Our Exclusive Training Packages!

        View Package

        400 hours of group training (includes VILT/In-person On-site)

        Designed for large corporations

        Custom
        Unlimited licenses

        Tailor-Made Trainee Licenses with Our Exclusive Training Packages!

        View Package

        Unlimited duration

        Designed for large corporations

        Edstellar: Your Go-to Platform Engineering Training Company

        Experienced Trainers

        Our trainers bring years of industry expertise to ensure the training is practical and impactful.

        Quality Training

        With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

        Industry-Relevant Curriculum

        Our course is designed by experts and is tailored to meet the demands of the current industry.

        Customizable Training

        Our course can be customized to meet the unique needs and goals of your organization.

        Comprehensive Support

        We provide pre and post training support to your organization to ensure a complete learning experience.

        Multilingual Training Capabilities

        We offer training in multiple languages to cater to diverse and global teams.

        Testimonials

        What Our Clients Say

        We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

        "Edstellar's virtual Platform Engineering training delivered measurable results for our infrastructure team. Within six weeks of completing the program, we reduced developer onboarding time by 62% and increased deployment frequency by 3x. The structured modules on Kubernetes orchestration, CI/CD pipeline design, and self-service APIs gave our engineers the depth they needed to build a robust internal platform from scratch."

        Rajan Mehta

        Head of Platform Engineering,

        A Global Fintech Company

        "The onsite Platform Engineering training from Edstellar transformed how our teams work. Our developer satisfaction scores improved by 41% within two months, and we cut weekly toil hours by over 30% through the self-service workflows and automation practices the training introduced. The hands-on labs on observability and policy-as-code were especially valuable for our SRE and infrastructure teams."

        Sarah Okafor

        VP of Engineering,

        A Mid-Market Cloud Services Company

        "After a focused four-day off-site Platform Engineering intensive with Edstellar, our team delivered a production-ready internal developer platform in under eight weeks. The training covered everything from golden path design and Kubernetes multi-tenancy to secrets management and developer portals. We onboarded 120 engineers onto the new platform in the first month, with a 55% reduction in environment setup time."

        Marco Delgado

        CTO,

        A High-Growth SaaS Company

        "Edstellar's IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We're excited to extend more of these impactful programs to other business units."

        Aditi Rao

        L&D Head,

        A Global Technology Company

        Get Your Team Members Recognized with Edstellar’s Course Certificate

        Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Certificate of Excellence

        Other Related Corporate Training Courses