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Building Modern Python Application on AWS Training

Live Online & Classroom Enterprise Training

This course focuses on designing, developing, and deploying modern, scalable Python applications on Amazon Web Services using cloud-native architectures. Learners will gain hands-on exposure to AWS services, serverless patterns, containers, CI/CD, and best practices for building production-ready Python applications.

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What is Building Modern Python Application on AWS Training about?

Building Modern Python Applications on AWS introduces developers to cloud-first application development using Python. The course covers core AWS services, modern architectural patterns, automation, security, and deployment strategies, enabling learners to build highly available, scalable, and maintainable applications in real-world AWS environments.

What are the objectives of Building Modern Python Application on AWS Training ?

  • Build cloud-native Python applications on AWS
  • Use serverless and container-based architectures
  • Implement secure and scalable application designs
  • Automate deployment using CI/CD pipelines
  • Apply AWS best practices for performance and cost optimization

Who is Building Modern Python Application on AWS Training for?

  • Python developers moving to cloud development
  • Software engineers building scalable applications
  • Cloud engineers working with AWS services
  • Backend developers adopting modern architectures
  • Technical professionals preparing for AWS certifications

What are the prerequisites for Building Modern Python Application on AWS Training?

Prerequisites:

  • Basic knowledge of Python programming
  • Understanding of web application fundamentals
  • Familiarity with REST APIs
  • Basic awareness of cloud computing concepts
  • Introductory knowledge of AWS is helpful


Learning Path:

  • Python fundamentals for cloud applications
  • Core AWS services (compute, storage, networking)
  • Serverless and container-based application design
  • CI/CD, monitoring, and security on AWS
  • Optimization, scaling, and real-world use cases


Related Courses:

  • AWS Cloud Practitioner Essentials
  • Python for Cloud and DevOps Engineers
  • Serverless Application Development on AWS
  • Containerization with Docker and Amazon ECS/EKS

Available Training Modes

Live Online Training

6 Days

Course Outline Expand All

Expand All

  • Architecting for the Cloud
  • What We Are Building
  • Introduction to AWS Cloud9
  • AWS Command Line Interface (CLI) and APIs
  • AWS APIs Overview
  • AWS CLI Basics
  • AWS SDK Exploration (Python)
  • AWS Credentials in Cloud9
  • Introduction to the Serverless Application Model (SAM)
  • AWS Toolkit for IDEs (Cloud9 / IntelliJ / PyCharm)
  • Introduction to API-Driven Design
  • What is Amazon API Gateway
  • API Gateway Terminology
  • Models and Mapping
  • Creating an API with Mock Integration
  • Using Mappings and Models
  • Publishing APIs
  • Using Postman to Test Requests
  • API Authentication and Access Controls
  • Introduction to Amazon Cognito
  • Using Cognito to Authenticate and Call API Gateway
  • Serverless Computing and AWS Lambda
  • AWS Lambda Execution Context
  • Permissions in Lambda
  • Triggers: Push & Pull Models
  • Lambda Execution Reuse
  • Lambda Compliance
  • Synchronous vs Asynchronous Responses
  • Lambda Versions and Aliases
  • Creating Lambda Functions via AWS CLI
  • Debugging Lambda Functions with AWS Toolkit
  • Orchestration Concepts
  • Creating a Serverless Workflow
  • Introduction to AWS Step Functions
  • Step Functions API Exploration
  • Step Function State Types
  • Service Integrations
  • Integrating API Gateway with Step Functions
  • Callback Patterns and Activities
  • Standard vs Express Workflows
  • Event-Driven Architectures (SQS, SNS, EventBridge)
  • Introduction to Observability
  • Amazon X-Ray Overview
  • X-Ray with API Gateway and Lambda
  • Using AWS X-Ray SDK with Python
  • API Gateway and Lambda Logs
  • Integrating CloudWatch Logs (Step Functions & Lambda)
  • Configuring CloudWatch Logs Across Services
  • Edge-Optimized Endpoints
  • API Gateway Response Caching
  • Lambda at the Edge
  • Lambda Performance Enhancements
  • Lambda Layers
  • Lambda Best Practices
  • API Gateway Optimization Patterns
  • API Gateway Proxy & HTTP APIs

Who is the instructor for this training?

The trainer for this Building Modern Python Application on AWS Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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