AWS-Infrastructure
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Overview
Students Prerequisites
Course Curriculum
Duration of the Course
Instructor Profile
Overview
The AWS Development with Python course introduces students to building and managing applications on Amazon Web Services (AWS) using the Python programming language. This course covers essential AWS services such as Lambda, S3, DynamoDB, and API Gateway, while integrating them with Python for automating cloud operations and building serverless applications. Students will learn how to write, deploy, and manage cloud-native applications using Python SDKs (boto3), design serverless architectures, and automate tasks with AWS tools and services. Through hands-on exercises, participants will develop real-world Python applications that leverage the full potential of AWS.
Students Prerequisites
Course Curriculum
Module 1: Introduction to AWS and Python
- Overview of AWS and Cloud Computing
- Setting Up the Development Environment (Python, AWS CLI, and SDKs)
- Introduction to the boto3 Python SDK
- Hands-on Lab: Setting Up AWS Python Development Environment
Module 2: AWS Identity and Access Management (IAM) with Python
- Overview of IAM and Security Policies
- Using boto3 to Manage IAM Users, Roles, and Policies
- Hands-on Lab: Automating IAM User Creation with Python
Module 3: Amazon S3 with Python
- Introduction to Amazon S3 and its Use Cases
- Uploading, Downloading, and Managing Objects using Python
- S3 Bucket Permissions and Versioning with Python
- Hands-on Lab: Building a File Storage Application with S3 and Python
Module 4: AWS Lambda and Serverless Python Applications
- Introduction to AWS Lambda Functions
- Writing Lambda Functions in Python
- Managing Event-Driven Architectures with Python (API Gateway, S3 Events)
- Hands-on Lab: Creating a Serverless Python Application using Lambda and API Gateway
Module 5: Amazon DynamoDB with Python
- Introduction to NoSQL Databases and DynamoDB
- Using boto3 to Interact with DynamoDB (CRUD Operations)
- Advanced Topics: DynamoDB Streams, Global Secondary Indexes
- Hands-on Lab: Building a DynamoDB-Powered Application with Python
Module 6: AWS API Gateway with Python
- Introduction to API Gateway and REST APIs
- Creating and Managing APIs with Python SDK
- Integrating API Gateway with Lambda for Serverless APIs
- Hands-on Lab: Building a REST API with Python, API Gateway, and Lambda
Module 7: Automating AWS EC2 with Python
- Launching and Managing EC2 Instances Programmatically
- Automating EC2 Operations: Starting, Stopping, and Terminating Instances
- Monitoring EC2 with Python (CloudWatch Integration)
- Hands-on Lab: Automating EC2 Resource Management with Python
Module 8: AWS Step Functions and Automation with Python
- Overview of AWS Step Functions for Workflow Automation
- Using Python to Manage Workflows and State Machines
- Building Multi-Step Serverless Workflows with Lambda and Step Functions
- Hands-on Lab: Orchestrating Serverless Workflows with Python and Step Functions
Module 9: AWS CloudFormation with Python
- Introduction to Infrastructure as Code (IaC) using CloudFormation
- Automating CloudFormation Templates with boto3
- Deploying and Managing AWS Resources Programmatically
- Hands-on Lab: Automating AWS Infrastructure Deployment with Python and CloudFormation
Module 10: AWS Monitoring and Logging with Python
- Monitoring AWS Services Using CloudWatch and Python
- Automating Log Management with boto3 (CloudWatch Logs)
- Hands-on Lab: Creating Automated Monitoring and Logging Solutions with Python
Module 11: AWS SNS and SQS with Python
- Introduction to Simple Notification Service (SNS) and Simple Queue Service (SQS)
- Sending Notifications and Messages Using Python
- Building Asynchronous and Event-Driven Systems with SNS/SQS
- Hands-on Lab: Implementing Notification and Messaging Systems with Python
Module 12: Cost Management and Optimization with Python
- Using Python to Monitor AWS Costs and Usage
- Automating Cost Optimization with boto3 and AWS Budgets
- Hands-on Lab: Building an AWS Cost Monitoring Tool with Python
Module 13: Final Project
- Building a Full-Scale AWS Application using Python
- Applying Concepts from the Entire Course
- Project Presentation and Review
This curriculum is designed to give students practical experience in AWS development using Python and includes various hands-on labs and real-world project examples.
Duration of the Course
40 Days (also available fast track course with short term duration)
- Flexible Schedules
- Live Online Training
Instructor Profile
- Training by highly experienced and certified professionals
- No slideshow (PPT) training, fully Hand-on training
- Interactive session with interview QA’s
- Real-time projects scenarios & Certification Help
- 24 X 7 Support