@@ -51,7 +51,7 @@ If you are looking for a guided way to learn Python from scratch., I recommend t
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## 🐳 Week 3: Docker & Python for Containerized Applications
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- ### 🎯 Goal:** Learn to containerize Python applications for DevOps automation.
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+ ### 🎯 Goal: Learn to containerize Python applications for DevOps automation.
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✅ Writing Dockerfiles for Python apps
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✅ Running Python scripts inside containers
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- Write a Python script that provisions AWS infrastructure (VPC, EC2, S3) using Terraform.
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- Automate Ansible playbook execution using Python.
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## ☸️ Week 5: Kubernetes Automation with Python
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### 🎯 Goal: Automate Kubernetes operations using Python.
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** 🔨 Hands-on Project:**
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- Write a Python script that dynamically creates and deletes Kubernetes namespaces.
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- - Build a ** Mutating Admission Webhook** to enforce security policies in a cluster.
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+ - Build a Mutating Admission Webhook to enforce security policies in a cluster.
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## 🔍 Week 6: Python for Security & Monitoring in DevOps.
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@@ -113,14 +111,13 @@ If you are looking for a guided way to learn Python from scratch., I recommend t
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✅ AI-powered log analysis using ` LangChain ` & ` OpenAI API `
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** 🔨 Hands-on Project:**
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- - Build an AI-powered chatbot that suggests ** Kubernetes troubleshooting steps** .
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- - Develop an ** AI-based log anomaly detection system** that detects security threats.
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+ - Build an AI-powered chatbot that suggests Kubernetes troubleshooting steps.
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+ - Develop an AI-based log anomaly detection system that detects security threats.
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## 🤖 Week 8: Agentic AI & Final Capstone Projects
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- ### 🎯 Goal: Implement ** advanced AI-driven DevOps automation
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+ ### 🎯 Goal: Implement advanced AI-driven DevOps automation
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✅ Understanding Agentic AI for DevOps
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✅ AI-driven CI/CD pipeline optimization
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2️⃣ ** Self-Healing Kubernetes System:** AI-powered Kubernetes operator that auto-heals pods based on anomaly detection.
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3️⃣ ** Intelligent CI/CD Analyzer:** AI-driven CI/CD log analyzer that suggests fixes based on failure patterns.
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## 📢 Next Steps
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- Contribute to Open Source Python DevOps projects
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