Unlock the power of automation and cloud-native development with this comprehensive course, designed by industry expert Ashish Kumar Tiwary, who brings 14 years of hands-on experience in Python programming, AWS cloud architecture, and DevOps practices.

This course is ideal for aspiring developers, cloud engineers, and DevOps professionals who want to master the fundamentals of Python and apply them in real-world AWS CI/CD pipelines. Learn everything from writing clean Python code to building and deploying applications using industry-standard DevOps tools and AWS services.

📘 Course Content

🔹 Module 1: Python Programming Fundamentals

• Installing Python & IDE setup

• Variables, Data Types, and Typecasting

• Control Structures (if-else, loops)

• Functions & Scope

• Collections: Lists, Tuples, Dictionaries, Sets

• File Handling (read, write, append)

• Exception Handling

• Introduction to OOP: Classes, Objects, Inheritance

🔹 Module 2: Advanced Python for Automation

• Lambda functions

• Decorators, Iterators, and Generators

• Modules and Packages

• Virtual environments & pip

• Working with APIs (requests module)

• Automating tasks with scripts

🔹 Module 3: Introduction to AWS Cloud

• What is Cloud Computing?

• Overview of AWS core services

• AWS Free Tier Setup

• Identity & Access Management (IAM)

• EC2 (Virtual Servers)

• S3 (Object Storage)

• Introduction to Lambda Functions

🔹 Module 4: DevOps & CI/CD Concepts

• What is DevOps? DevOps Lifecycle & Culture

• CI/CD Overview (Continuous Integration/Delivery/Deployment)

• Source Control: Git & GitHub

• DevOps Tools Overview: Jenkins, Docker, Terraform, Kubernetes (brief)

🔹 Module 5: AWS CI/CD Tools

• AWS CodeCommit (Git Repo)

• AWS CodeBuild (Automated Builds)

• AWS CodePipeline (CI/CD Orchestration)

• AWS CodeDeploy (Deploy to EC2, Lambda, ECS)

• Deploy Python application using CI/CD Pipeline

🔹 Module 6: Monitoring, Logging, and Security

• AWS CloudWatch: Metrics, Logs, Alarms

• AWS CloudTrail: API activity tracking

• Secrets Management & IAM Best Practices

• Setting up secure pipelines

🔹 Module 7: Final Capstone Project

• Build and deploy a Python web application (Flask/Django)

• Connect to AWS S3/EC2/Lambda

• Implement full CI/CD pipeline (CodeCommit → CodeBuild → CodeDeploy)

• Include email/SMS alerts via SNS

• Monitor application using CloudWatch

👨‍🏫 Who Should Enroll

• Python beginners wanting to advance into DevOps

• Cloud engineers & SysAdmins exploring automation

• Developers transitioning into DevOps roles

• Anyone looking to implement real-world CI/CD in AWS