15 Live Hands-On DevOps, Cloud & AI Projects Bootcamp
Mentor: DevOps Cloud AI Architect
A focused live bootcamp built around 15 industry-grade DevOps, Cloud, and GenAI projects. Live on Zoom, fully interactive, with weekly doubt-clearing sessions and continuous WhatsApp support. Small batches (~25 learners) for personal attention.
Who This Is For
Professionals targeting roles like DevOps Engineer, Cloud Engineer, Platform Engineer, SRE, AI Engineer, or Cloud Architect.
These are not YouTube-style mini-projects — every session is built on real-world enterprise use cases, simplified for clear understanding.
Program Highlights
- 15 real industry projects based on actual corporate implementations
- Weekly doubt-clearing sessions + dedicated WhatsApp support
- Personal help when you're stuck — debugging and setup support
- Small group (~25 learners) for focused mentorship
- Lifetime access to presentations, source code, and recordings
- Join anytime — sessions run on a cyclic schedule, every project is standalone
- Repeat the program multiple times at no extra cost until you get your result
- Dedicated sessions on roadmap, resume, and interview prep using these projects
- Concepts apply to AWS, Azure, and GCP — not tied to one provider
Prerequisites
Basic knowledge of DevOps and Cloud technologies.
Batch Format & Schedule
- Mode: Live on Zoom — fully interactive, screen sharing and Q&A
- Project sessions: Every Saturday, 5:00 PM – 8:00 PM IST (~3 hours) — live coding, architecture walkthroughs, hands-on implementation
- Doubt-clearing sessions: Every Friday, 5:00 PM – 6:30 PM IST (~1.5 hours) — live debugging, concept clarification, issue resolution
- Each project is taught as a live, independent session — join anytime and catch up cyclically.
The 15 Projects
Project 1 — DevOps Kickstart: Agile Workflow & Team Collaboration
- Why: Real teams run on Agile and DevOps workflows — sprint planning, Git branching, PR reviews. Without this, you struggle from day one on the job.
- You will learn: Sprint planning and Jira workflows, GitFlow branching, PR reviews and code ownership, the CI/CD mindset, and the day-to-day reality of DevOps / Cloud roles.
- Stack: GitHub, Jira, Agile, CI/CD concepts, Slack.
Project 2 — AI for DevOps: GitHub Copilot & AI-Assisted Automation
- Why: DevOps engineers are now expected to use AI tools to move faster. Knowing how to use Copilot for Terraform, Docker, and Kubernetes is becoming a baseline skill.
- You will learn: Copilot for Terraform / Docker / K8s, AI-assisted debugging, productivity automation, and how to set up the workstation of an AI-assisted DevOps engineer.
- Stack: GitHub Copilot, AI DevOps tools.
Project 3 — Dockerized Microservices: Production-Ready Containers
- Why: Almost every modern app runs in containers. Building secure, optimised, multi-service Docker setups is a core DevOps skill.
- You will learn: Multi-stage Docker builds, image size optimization, secure Dockerfiles, and a multi-service app with Docker Compose.
- Stack: Docker, Dockerfile (multi-stage), Docker Compose.
Project 4 — AWS Multi-Account Governance with Control Tower
- Why: Companies don't run on a single AWS account — they have separate accounts for dev, QA, prod, security, and billing. You need to set this up and govern it safely.
- You will learn: Build a secure multi-account landing zone with guardrails, SSO, and centralized billing.
- Stack: AWS Organizations, Control Tower, IAM Identity Center, SCPs, CloudTrail, Config.
Project 5 — Enterprise CI/CD Pipelines with GitHub Actions
- Why: Manual deployments don't scale. Companies expect engineers to design CI/CD pipelines that build, test, scan, and deploy automatically.
- You will learn: Build–test–scan–deploy pipelines, self-hosted runners (real enterprise pattern), secrets and environment protection.
- Stack: GitHub Actions, Docker, self-hosted runners, Kubernetes.
Project 6 — Terraform Foundations: Infrastructure as Code
- Why: Clicking in the cloud console doesn't scale and isn't repeatable. Real teams provision everything as code — versioned, reviewed, reproducible.
- You will learn: Modular Terraform design, remote state and state locking, and clean dev / stage / prod separation.
- Stack: Terraform, AWS, Remote State (S3 + DynamoDB).
Project 7 — Terraform in CI/CD: Resilient Infrastructure
- Why: Writing Terraform is easy. Running it safely in CI/CD with rollback and drift handling is what separates juniors from seniors.
- You will learn: Terraform inside CI/CD pipelines, rollback-safe deployments, and drift detection and recovery.
- Stack: Terraform, GitHub Actions, Docker.
Project 8 — Golden AMI Pipeline with Packer & Terraform
- Why: Enterprises don't launch random images in production. They use hardened, patched, standardised "golden" images so every server is secure and consistent.
- You will learn: Golden AMI creation, security hardening, and canary deployment strategy.
- Stack: Packer, Terraform, EC2, Ansible, CIS hardening.
Project 9 — Managing 100+ Servers with Ansible
- Why: Real environments don't have 2 servers — they have hundreds. You need automation that handles scale and compliance, not SSH-and-pray.
- You will learn: Ansible roles and playbooks, dynamic inventory on AWS, and security and compliance automation.
- Stack: Ansible, dynamic inventory, SSH hardening.
Project 10 — Kubernetes Production Cluster Deployment
- Why: Kubernetes is the default platform for microservices. Deploying real apps on it is what companies actually pay for — not just `kubectl run`.
- You will learn: Helm-based deployments, Ingress and services, autoscaling, and a secure scalable K8s architecture.
- Stack: Kubernetes, EKS, Helm, Ingress, HPA.
Project 11 — GitOps with Argo CD
- Why: Modern teams don't deploy with manual kubectl — they deploy through Git. GitOps with Argo CD is now an interview-favourite topic.
- You will learn: Declarative deployments, sync strategies, and blue-green / canary releases.
- Stack: Argo CD, GitHub, Kubernetes, Helm, Kustomize.
Project 12 — Monitoring & Observability Stack
- Why: You can't fix what you can't see. Every serious team invests heavily in metrics, dashboards, and alerts.
- You will learn: Metrics, dashboards, and alerts; SLOs / SLAs; and deployment-aware monitoring.
- Stack: Prometheus, Grafana, Loki, Alertmanager, CloudWatch, OpenTelemetry.
Project 13 — Secure DevOps CI/CD (DevSecOps)
- Why: Security can't be bolted on at the end. Companies expect security checks, secret management, and image scanning baked into the pipeline.
- You will learn: Code quality gates, dependency and image scanning, secrets management, and a Dev → QA → Prod artifact promotion flow.
- Stack: Jenkins / GitHub Actions, SonarQube, Snyk, Trivy, HashiCorp Vault, GitHub Secrets, JFrog / Nexus / ECR, OWASP ZAP.
Project 14 — GenAI Application with AWS Bedrock + LLM Agent
- Why: Every company is shipping GenAI features. Engineers who can build, deploy, and operate LLM-based apps are in very high demand.
- You will learn: Build an LLM-based API, set up CI/CD for AI applications, and apply MLOps practices to a production GenAI app.
- Stack: Amazon Bedrock, LangChain, API Gateway, Lambda, S3, Streamlit / React.
Project 15 — AI-Powered Log & Incident Analysis (AIOps)
- Why: Production generates more logs and alerts than humans can read. LLMs are now used to triage incidents and suggest fixes — a key edge for modern SRE / DevOps engineers.
- You will learn: Use LLMs and ML to summarise logs, triage incidents, and suggest remediation.
- Stack: Python, OpenAI / AWS Bedrock, LangChain, OpenSearch / ELK, Prometheus, Slack / PagerDuty.
For every project you get: presentations, source code, architecture diagrams, session recordings, and lifetime access.
What You Walk Away With
- 15 industry-grade projects you can showcase on your resume and GitHub
- Confidence with the full modern DevOps + Cloud + GenAI + AIOps stack
- Clear understanding of how real engineering teams work
- Roadmap, resume, and interview-prep guidance built into the program
FAQs
Can I join anytime?
Yes. Each session covers a standalone project, so you can start anytime and complete the cycle.
Can I repeat the program?
Yes — you can repeat the program multiple times at no extra cost until you are confident with every project.
Will I get code and materials?
Yes — all presentations, source code, and recordings are shared with lifetime access.
Is there live interaction?
Yes — sessions are on Zoom with full unmute and Q&A support.
What if I face issues during projects?
You get WhatsApp support and weekly live doubt sessions for troubleshooting.
What if I miss a session?
Watch recordings and ask doubts later — no extra cost.
Is this cloud-provider specific?
No. Concepts apply to AWS, Azure, and GCP. Demos primarily use AWS.
Registration & Payment
Register directly via this Topmate page (available worldwide).
Backup payment options for India users:
- UPI: direct2sanjeev@icici
- UPI: 9888055959
15 real projects. Live mentorship. Lifetime access. Repeat until you succeed.