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DevOps with AI Automation (AWS/Azure + Python)
Master DevOps With AI Automation (AWS/Azure + Python)
“Learn to build, scale, and automate cloud infrastructure using AI-driven DevOps practices.”
- Duration: 8 Weeks / 40 Days
- Level: Intermediate to Advanced
- Certification: Included
- Day 1: Cloud Architecture (AWS/Azure).
- Day 2: IAM & Network Security.
- Day 3: Linux Command Line Mastery.
- Day 4: Shell Scripting for Automation.
- Day 5: Setting up the Dev Environment.
- Day 6: Python Basics for System Admins.
- Day 7: Automating Tasks with Python Libraries.
- Day 8: Working with JSON/YAML Configs.
- Day 9: Using AI (ChatGPT/Github Copilot) for Scripting.
- Day 10: Real-world Automation Project
- Day 11: Introduction to Terraform & HCL Language.
- Day 12: Managing Cloud Infrastructure with Terraform Modules.
- Day 13: Terraform State Management & Backend Configurations.
- Day 14: AI for IaC: Using AI tools to write & debug Terraform code.
- Day 15: Deploying a Multi-tier Web App using IaC.
- Day 16: Ansible Architecture & Playbook Basics.
- Day 17: Inventory Management & Ansible Roles.
- Day 18: Automating Security Patches & Software Updates.
- Day 19: Integrating Ansible with Terraform for end-to-end automation.
- Day 20: Project 2: Automating 50+ Servers Configuration in 5 minutes.
- Day 21: Advanced Git: Branching Strategies & Conflict Resolution.
- Day 22: Setting up Jenkins & GitHub Actions.
- Day 23: Building CI/CD Pipelines for Java/Node.js Apps.
- Day 24: AI-Powered Code Review & Automated Bug Fixing.
- Day 25: Blue-Green & Canary Deployment Strategies.
- Day 26: Docker Fundamentals: Images, Containers, and Dockerfile.
- Day 27: Docker Compose for Multi-container Applications.
- Day 28: Kubernetes Architecture: Pods, Nodes, and Clusters.
- Day 29: Managing K8s Deployments & Services.
- Day 30: Project 3: Deploying a Microservices App on Kubernetes.
- Day 31: Monitoring with Prometheus & Visualization with Grafana.
- Day 32: Log Management using ELK Stack (Elasticsearch, Logstash, Kibana).
- Day 33: AI-Ops: Using AI for Predictive Incident Management.
- Day 34: Automated Scaling based on AI Insights.
- Day 35: Site Reliability Engineering (SRE) Principles.
- Day 36: Final Project Setup: Full Stack AI-Driven DevOps Pipeline.
- Day 37: Security Audits & Compliance Automation.
- Day 38: Mock Interviews & Resume Building for DevOps Roles.
- Day 39: AWS/Azure Certification Guidance & Practice Exams.
- Day 40: Final Project Presentation & Certification Award.
Powering Digital Transformation & Secure IT Solutions