15 Recorded DevOps Cloud AI Industry Level Project with Sanjeev Kumar

Master modern DevOps, Cloud, and AI workflows with these 15 real-world, hands-on projects—built to reflect how companies operate in production environments. Each project focuses on practical tooling, architecture, and automation, aligned with job-ready skills.

📆 Program Details

• Format: Self-Paced 12 Projects Step by Step Details, PDFs, Code
• Access: Valid for Lifetime

🔥 Built Around Real Industry Projects (Not Just Tutorials)

✅ 12 enterprise-grade projects simulating actual production scenarios, architecture, and team workflows used at top companies like AWS, Netflix, and Stripe.

🔥Covers Full DevOps + Cloud + AI Projects

From Agile & GitOps to Serverless, Kubernetes, Terraform, CI/CD, Monitoring, MLOps, and Generative AI with Bedrock—this program leaves no gap in your skillset.

🛠️ Hands-on with Job-Ready Tooling

Learn exact tools used in modern engineering teams:

GitHub Actions, AWS Control Tower, Argo CD, Packer, Terraform, SonarQube, Snyk, SageMaker, Prometheus, Bedrock, and more.

📈 Focused on What Hiring Managers Actually Want

Learn how companies manage AWS environments, deploy microservices, secure supply chains, and implement MLOps/GenAI—so you speak their language in interviews.

✅ Project 1: DevOps Kickstart – Roadmap, Agile Practices & Team Workflow

Tech Stack: GitHub, Jira, Agile, CI/CD Concepts, Terraform Basics, Cloud Fundamentals

What You’ll Learn:

• How real-world teams plan and track work using Agile and Jira.
• Structuring GitHub repositories using Git branching strategies.
• Setting the foundation for DevOps collaboration, team velocity, and CI/CD vision.

✅ Project 2: Enterprise-Grade AWS Multi-Account Governance

Tech Stack: AWS Control Tower, IAM, SCPs, CloudTrail, AWS Organizations

What You’ll Learn:

• How large enterprises structure AWS environments using Organisations and Control Tower.
• Implementing SCPs, centralised logging, and secure account boundaries.
• Designing for scalability, compliance, and audit readiness.

✅ Project 3: Golden AMI Pipeline with Packer & Terraform

Tech Stack: Packer, Terraform, Bash Scripts, EC2, Canary Deployments

What You’ll Learn:

• Automating the creation of hardened AMIs used across environments.
• How organisations enforce image consistency and security policies.
• Implementing canary deployments with baked images for safe rollouts.

✅ Project 4: Manage 100s of Servers at Scale with Ansible

Tech Stack: Ansible, Dynamic Inventory (EC2), SSH Hardening, Role-Based Playbooks

What You’ll Learn:

• Managing large-scale infrastructure with Ansible automation.
• Dynamic EC2 inventory, idempotent playbooks, and configuration hardening.
• Applying real-world orchestration strategies with Ansible roles and vault.

✅ Project 5: Production-Ready Serverless AWS Infrastructure

Tech Stack: Terraform, AWS Lambda, API Gateway, RDS, ALB, KMS, Python, Docker

What You’ll Learn:

• Building serverless architectures with IaC using Terraform.
• Designing highly available and secure apps with Lambda, ALB, and encrypted data stores.
• Integrating CI/CD workflows to deploy infrastructure and code updates automatically.

✅ Project 6: Terraform State Management & CI/CD Resilience

Tech Stack: Terraform, GitHub Actions, S3, Auto Scaling, Docker

What You’ll Learn:

• Real-world challenges of Terraform state management in teams.
• Building resilient and parallel-safe pipelines with remote state and locking.
• Managing secrets, rollback strategies, and environment isolation.

✅ Project 7: GitHub Actions for Infrastructure Automation

Tech Stack: GitHub Actions, EC2 Self-Hosted Runners, Terraform, Packer, AWS CLI

What You’ll Learn:

• Automating infrastructure with GitHub Actions + Terraform + Packer.
• How organisations use self-hosted runners for faster, secure jobs.
• Building end-to-end pipelines for AMI creation and infra provisioning.

✅ Project 8: Enterprise CI/CD with Secure Software Supply Chain

Tech Stack: GitHub Actions, Docker, Java/Maven, SonarQube, Snyk, JFrog, Secrets

What You’ll Learn:

• Building secure CI/CD pipelines with compliance, scanning, and artifact security.
• How enterprises handle quality gates, vulnerability scanning, and artifact promotion.
• Best practices for DevSecOps, credential management, and policy enforcement.

✅ Project 9: GitOps-Driven Kubernetes Deployment with Argo CD

Tech Stack: EKS, Argo CD, Helm, Ingress, Kubernetes (Pods, Services, Autoscaling), GitHub

What You’ll Learn:

• How GitOps powers modern Kubernetes deployments using Argo CD.
• Declarative infra and app delivery with Helm + Argo CD syncing.
• Managing multi-env, scalable K8s apps with RBAC and auto-healing.

✅ Project 10: Monitoring & Observability for Modern Cloud Infrastructure

Tech Stack: Prometheus, Grafana, CloudWatch, Helm, Blue-Green Deployments

What You’ll Learn:

• Proactive monitoring and alerting strategies for cloud-native systems.
• Implementing Grafana dashboards, CloudWatch logs, and Prometheus metrics.
• Handling blue-green deployment rollouts with automation and rollback safety.

✅ Project 11: MLOps in AWS – From Model Training to Deployment

Tech Stack: SageMaker, CodePipeline, S3, Lambda, Docker, CloudWatch, GitHub Actions

What You’ll Learn:

• How real teams implement end-to-end MLOps pipelines using SageMaker.
• Automating data preprocessing, model training, versioning, and CI/CD for ML.
• Monitoring model drift, handling retraining, and managing ML lifecycle.

✅ Project 12: Build and Deploy GenAI Apps using AWS Bedrock

Tech Stack: Amazon Bedrock (Claude, Titan, Mistral), Lambda, API Gateway, DynamoDB, Terraform, LangChain

What You’ll Learn:

• How companies integrate foundation models (LLMs) using Bedrock for real-world use cases.
• Building and deploying chatbots, content generators, or Q&A tools via Bedrock.
• Managing prompt engineering, inference, and scalable GenAI infrastructure in AWS.

🧠 Summary of What You’ll Master:

✅ DevOps Mindset & Agile Planning

✅ AWS Multi-Account, Multi-Environment (Dev, QA, Prod) & Infrastructure as Code

✅ Automation with Terraform, Ansible, GitHub Actions

✅ CI/CD Pipelines, Secure Software Supply Chain

✅ Kubernetes GitOps, Observability, and Monitoring

✅ MLOps & GenAI Deployment with Bedrock & SageMaker

💳 Pricing & Registration

One-time fee

The program is valid for the lifetime

Backup Payment Options:

UPI: direct2sanjeev@icici or 9888055959

WhatsApp any Queries to: +91-9888055959