AI-Augmented Platform Engineering Bootcamp

16 Weeks Duration

Intermediate – Advanced Level

Online · Self-paced Format

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Overview

This programme teaches how modern engineering teams design, build, and operate production-grade platforms using cloud-native technologies. You will work on real infrastructure problems — not toy examples — and graduate with a complete internal developer platform you built yourself.

⚙️

Infrastructure as Code

Terraform, GitOps, and environment automation at scale.

☸️

Kubernetes Platform

From fundamentals to advanced operator patterns and service mesh.

📊

Observability & Reliability

Metrics, logs, traces, SLOs, and production incident response.

🤖

AI-Assisted Operations

Use AI to debug, generate infrastructure, and summarise incidents.

What You Will Learn

- Design scalable platform architectures for real organisations - Build CI/CD and GitOps deployment pipelines from scratch - Operate Kubernetes platforms in production with confidence - Implement full-stack observability and reliability engineering - Build internal developer platforms that give teams self-service infrastructure - Debug production incidents using structured runbooks and tooling - Optimise infrastructure cost with FinOps practices - Implement platform governance, security scanning, and compliance controls - Use AI tools to accelerate every part of the platform engineering workflow

Curriculum

Week 1

Engineering Foundations Linux, networking, DNS, HTTP, Git workflows

Week 2

Application Platform Microservices, API and worker services, databases

Week 3

Containerisation Docker, image optimisation, multi-stage builds

Week 4

CI/CD Engineering GitHub Actions, automated testing, artifact management

Week 5

Infrastructure as Code Terraform, modules, remote state, drift detection

Week 6

Kubernetes Fundamentals Pods, Deployments, Services, Ingress, autoscaling

Week 7

Kubernetes Advanced Platform Helm, KEDA, Knative, custom operators

Week 8

GitOps Platform Argo CD, deployment automation, reconciliation

Week 9

Platform Networking & Service Mesh Istio, mTLS, traffic routing, service discovery

Week 10

Observability Platform Prometheus, Grafana, OpenTelemetry, SLO/SLI design

Week 11

Production Operations Incident response, RCA, postmortems, production debugging

Week 12

Internal Developer Platforms Backstage, golden paths, self-service infrastructure

Week 13

Security & Compliance DevSecOps, secrets management, SOC2 basics

Week 14

FinOps & Cost Optimisation Cloud cost management, resource optimisation

Week 15

Chaos Engineering Fault injection, resilience testing, failure simulation

Week 16

AI-Powered Platform Engineering AI debugging, log analysis, infrastructure generation

Capstone Project

Throughout the course you will incrementally build a complete internal developer platform. By the final week you will have delivered:

CI Pipeline

GitOps Deployment

Kubernetes Application Platform

Observability Stack

Developer Self-Service Portal

Platform Governance

Cost Monitoring

Incident Response Workflows

About the Instructor

Ashok Valakatla

Senior DevOps & Platform Engineer

10 years designing and operating production-grade infrastructure at Backbase, Cognizant, HCL Technologies, and Cloud4C. Specialises in Kubernetes platform engineering, Terraform, CI/CD automation, and observability on Azure and AWS.

Azure Certified DevOps Expert Azure Certified Solution Architect Azure Certified Administrator

linkedin.com/in/ashokvalakatla

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