Platform Engineering Mastery Program – Live Training (Basics to Advanced)

(Build Scalable Internal Developer Platforms | Master Kubernetes, CI/CD, IaC & Cloud-Native Engineering)

Platform Engineering is the discipline of designing, building, and maintaining the shared infrastructure, tooling, and workflows that development teams rely on to ship software faster and more reliably. It is one of the fastest-growing roles in the DevOps ecosystem.

A Platform Engineer acts as the bridge between infrastructure and development — creating Internal Developer Platforms (IDPs) that reduce cognitive load, enforce standards, and enable self-service capabilities across engineering teams. According to Gartner, 80% of large engineering organizations will have dedicated platform engineering teams by 2026, making this one of the highest-demand specializations in the industry. At Isha Training Solutions, our Platform Engineering course combines our deep roots in Performance Testing, SRE, APM, and Automation with the modern platform toolchain — giving you a uniquely complete perspective that most programs miss.

💡 You won’t just learn tools — you’ll learn how to think like a Platform Engineer.

🚀 Why Platform Engineering is the Future?

🔥 Exploding Demand – Organizations are rapidly adopting Platform Engineering to accelerate software delivery.

⚡ Developer Efficiency – Enables developers to focus on innovation rather than infrastructure management.

☁️ Cloud-Native Revolution – Powers modern applications with Kubernetes, containers, and cloud technologies.

🤖 Automation-Driven Workflows – Automates deployments, provisioning, monitoring, and operations.

🏢 Enterprise Adoption – Enterprises are investing heavily in Internal Developer Platforms (IDPs).

📈 Career Growth – Creates strong opportunities in DevOps, SRE, Cloud, and Platform Engineering roles.

💰 High Salary Potential – One of the most rewarding and in-demand career paths in technology.

🌟 About the Instructor – Kiran

Trainer – Kiran (Platform Engineering Expert)

Kiran is a highly experienced technology professional with strong expertise in Platform Engineering, DevOps, Cloud Computing, Kubernetes, Docker, CI/CD, Infrastructure as Code (IaC), and Automation. With extensive real-world experience in designing and implementing scalable enterprise platforms, he has helped organizations improve developer productivity, streamline software delivery, and accelerate cloud adoption. His training approach is practical, hands-on, and focused on real-time industry use cases, ensuring participants gain both technical knowledge and implementation skills. Kiran is passionate about mentoring professionals and helping them build successful careers in the rapidly growing field of Platform Engineering.

🎯 His training style focuses on:

🚀 Specialized in Building Scalable Internal Developer Platforms (IDPs)
📚 Practical, Real-Time, and Project-Oriented Teaching Approach
🏢 Experience Delivering Enterprise-Grade Platform Engineering Solutions

Live Sessions Price:

For LIVE sessions – Offer price after discount is 3~~00 USD 259 ~~USD~~~~ 119 USD Or ~~13000 INR~~ ~~12000 INR~~ 8900 Rupees

Enroll For Free Demo

Free Demo Session:

22nd June @ 9:00 PM – 10:00 PM (IST) (Indian Timings)

22nd June@ 11:30 AM – 12:30 PM (EST) (U.S Timings)

22nd June@ 4:30 PM – 5:30 PM (BST) (UK Timings)

Class Schedule:

For Participants in India: Monday to Friday @ 9:00 PM – 10:00 PM (IST)

For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)

For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)

⭐ What Students Say About Instructor Kiran

👨 Amit Sharma:
“Kiran explains complex Platform Engineering and DevOps concepts in a simple and practical way.”

👨 Sandeep Reddy:
Very practical course with industry-level examples.
Helped me understand Kubernetes and cloud deployments deeply.

👩 Fatima Khan:
“His training is highly interactive, industry-focused, and aligned with current market demands.”

👨 David Joseph:
“The structured learning approach, assignments, and project guidance made the concepts easy to understand.”

👩 Ayesha Begum:
“Kiran’s mentorship, interview preparation, and career guidance were invaluable in my professional growth.”

👩 Nusrat Ali:
“One of the best trainers for Platform Engineering, Cloud, DevOps, and Automation technologies

⭐ Salient Features

Industry-Oriented Curriculum
Hands-On Labs & Real-Time Projects Cloud-Native & Kubernetes-Focused Learning
CI/CD, DevOps & Automation Best Practices
Infrastructure as Code (IAC) Implementation
Internal Developer Platform (IDP) Concepts
Interview Preparation & Resume Guidance
Session Recordings for Revision
Career Support & Industry Insight

🎯 Who Can Enroll for this Course?

Anyone Looking to Build a Career in Platform Engineering
Freshers with Basic Linux & Cloud Knowledge
IT Operations Professionals
Technical Leads & Architects
Software Developers
Kubernetes & Docker Enthusiasts
Cloud Engineers
DevOps Engineers

🚀 What Will I Learn by the end of this Course?

Understand Platform Engineering Fundamentals & Best Practices
Build and Manage Internal Developer Platforms (IDPs)
Design Cloud-Native Architectures Using Kubernetes
Implement CI/CD Pipelines for Faster Software Delivery
Automate Infrastructure with Infrastructure as Code (IaC)
Deploy and Manage Applications Using Docker & Containers
Configure Monitoring, Logging, and Observability Solutions
Implement Security and Governance Best Practices
Improve Developer Experience Through Self-Service Platforms
Work on Real-Time Enterprise Platform Engineering Scenarios
Be Ready for Platform Engineering, DevOps, Cloud, and SRE Roles

Course Syllabus:

🔹CHAPTER 1: Platform Engineering Foundations

What is Platform Engineering vs DevOps vs SRE
Internal Developer Platform (IDP) concepts
Golden Paths and Paved Roads
CNCF landscape overview
Team Topologies & Platform Team models
Developer Experience (DevEx) principles
Platform Engineering maturity model
Platform KPIs and DORA metrics

🔹CHAPTER 2: Containers & Kubernetes Deep Dive

Docker fundamentals and best practices
Kubernetes architecture and components
Kubernetes Networking — Services, Ingress
Horizontal & Vertical Pod Autoscaling
Container security and image scanning
Deployments, Stateful Sets, DaemonSets
RBAC, Admission Controllers, Namespaces
Kubernetes Operators pattern

🔹CHAPTER 3: Infrastructure as Code

Terraform fundamentals and HCL language
AWS, Azure, GCP provisioning with Terraform
Ansible for configuration management
Policy as Code with OPA/Confutes
Terraform modules and remote state
Pulu mi — Infrastructure as real code
Cross plane — Kubernetes-native Isac
Drift detection and remediation

🔹 CHAPTER 4: CI/CD Pipeline Engineering

Jenkins advanced — shared libraries, agents
GitHub Actions — reusable workflows
Artifact management — JFrog Artifactory, Nexus
SonarQube code quality gates
GitLab CI/CD pipelines from scratch
Tektone — Kubernetes-native pipelines
Pipeline security and SAST/DAST integration
Pipeline observability and failure analysis

🔹CHAPTER 5: Gi tops & Continuous Deployment

Gi tops principles and operator pattern
Flux CD — Gi Repository, Customization
Customize for environment overlays
Flagger for automated progressive rollouts
Argo CD — installation, apps, sync strategies
Helm chart development and repositories
Progressive delivery — Canary, Bluegreen
Multi-cluster Gi tops management

🔹CHAPTER 6: Observability & Platform Monitoring

Three Pillars: Metrics, Logs, Traces
Grafana dashboards and alerting
Distributed tracing with Jaeger & Tempo
Datadog, Dynatrace platform integration
Prometheus — Prom, alerting rules
Open Telemetry — instrumentation & collectors
Loki for log aggregation
SLO/SLI/SLA definition and alerting

🔹CHAPTER 7: Service Mesh & Networking

Service Mesh concepts and use cases
Linked — lightweight service mesh setup
Network policies in Kubernetes
Ingress controllers — Nginx, Trae Fik
Istio — traffic management, MTLS
API Gateway — Kong, Nginx, Envoy
DNS management — Externals, Corden’s
Load balancing strategies and circuit breaking

🔹CHAPTER 8: Platform Security & Compliance

Zero-trust security model for platforms
Kubernetes RBAC and ABAC deep dive
Falco — runtime threat detection
Container image signing and verification
Hashi Corp Vault — secrets management
OPA / Gatekeeper for policy enforcement
Supply chain security (SLSA, Instore)
CIS benchmarks and compliance scanning

🔹CHAPTER 9: Internal Developer Portal — Backstage

Backstage architecture and software catalog
Software Templates — scaffolding golden paths
Integrating Backstage with Kubernetes
Self-service workflows design
Tech Docs— documentation as code
Backstage plugins ecosystem
Port IDP as Backstage alternative
Developer portal governance and adoption

🔹CHAPTER 10: Cloud-Native & Multi-Cloud Platforms

AWS EKS — managed Kubernetes setup
Cloud cost optimization and FinOps
Serverless platforms — Native, Open Faas
Disaster recovery and backup strategies
Azure AKS and GCP GKE deep dive
Multi-cluster federation strategies
Platform networking in cloud environments
Platform migration patterns

🔹CHAPTER 11: Capstone Project — Build Your Own IDP

End-to-end IDP design document
Full Gi tops pipeline with Argo CD
Complete observability stack deployment
Platform runbooks documentation
Multi-team Kubernetes cluster setup
Backstage portal with real integrations
Security policies and Vault integration
Live project review and certification

Events

Platform Engineering Mastery Program – Live Training (Basics to Advanced)

Event Information