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AWS Code Whisperer

Last Updated: 08-03-2025

The AWS Code Whisperer Training course is designed to empower developers with the skills to leverage AWS Code Whisperer, an advanced AI-powered code generation tool, to improve productivity, code quality, and collaboration. In this hands-on course, you’ll learn how to integrate AWS Code Whisperer into your development environment to automate code suggestions, reduce errors, and accelerate the coding process. This training covers everything from setting up AWS Code Whisperer, utilizing its AI-powered suggestions, and understanding its integration with popular IDEs like Visual Studio Code to applying it in real-world software development scenarios. Whether you're a beginner or an experienced developer, this training will help you enhance your coding workflow with the power of machine learning and AI.

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Schedule Learners Course Fee (Incl. of all Taxes) Register Your Interest
December 22nd - 02nd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 80 Hours)
Guaranteed-to-Run
10% Off
$3,200
$2,880
Fast Filling! Hurry Up.
January 05th - 16th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 80 Hours)
20% Off
$3,200
$2,560
January 12th - 23rd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 80 Hours)
20% Off
$3,200
$2,560
January 19th - 13th
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 80 Hours)
20% Off
$3,200
$2,560
January 26th - 06th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 80 Hours)
Guaranteed-to-Run
20% Off
$3,200
$2,560

Course Prerequisites

  • Basic understanding of programming and software development concepts.
  • Familiarity with popular programming languages such as Python, JavaScript, Java, or C#.
  • Basic knowledge of AWS services (e.g., IAM, S3, EC2) is helpful but not required.
  • Recommended: Experience using IDEs like Visual Studio Code or JetBrains.

 

Learning Objectives

By the end of this AWS Code Whisperer Training, you will be able to:

  1. Set up AWS Code Whisperer in your development environment and integrate it with popular IDEs like Visual Studio Code.
  2. Use AI-powered code suggestions to automatically generate code snippets, improve coding efficiency, and reduce common coding errors.
  3. Learn how to tailor AWS Code Whisperer suggestions to specific coding styles and frameworks, enhancing productivity and consistency.
  4. Implement best practices for integrating AWS Code Whisperer into team-based development workflows.
  5. Understand how machine learning models power AWS Code Whisperer and improve the quality of suggestions over time.
  6. Automate repetitive coding tasks, saving time and reducing human errors during development.
  7. Use AWS Code Whisperer to streamline the debugging and testing phases of the development lifecycle.
  8. Understand how to leverage Code Whisperer for secure coding practices by integrating security and compliance checks into the development process.
  9. Collaborate with team members more effectively by using AI-assisted code reviews and ensuring consistency across the codebase.
  10. Measure and improve the productivity of your development team using AWS Code Whisperer’s metrics and feedback.

Target Audience

This course is ideal for:

  • Software developers who want to speed up the development process and enhance productivity using AI-powered code suggestions.
  • DevOps engineers looking to integrate AI-driven coding tools into their software development lifecycle.
  • Technical leads and software architects who want to learn how to leverage AWS Code Whisperer for optimizing team productivity and collaboration.
  • AI enthusiasts and developers interested in integrating artificial intelligence into their everyday coding tasks.

Course Modules

Module 1: Introduction to AWS CodeWhisperer

  • Overview of Amazon CodeWhisperer
  • Benefits of AI-powered code generation
  • Supported programming languages (Python, Java, JavaScript, etc.)
  • Key features of CodeWhisperer
  • How it integrates with AWS services and IDEs

Module 2: Setting Up CodeWhisperer in Your IDE

  • Installing and configuring AWS CodeWhisperer
  • Integrating with supported IDEs (e.g., Visual Studio Code, JetBrains, etc.)
  • Overview of the IDE setup and configuration process
  • Enabling and customizing code suggestions

Module 3: Using CodeWhisperer for Code Generation

  • How to use CodeWhisperer for automatic code suggestions
  • Best practices for interacting with CodeWhisperer
  • Writing code and getting real-time suggestions
  • Examples of code generation for common use cases (e.g., APIs, AWS SDK integrations, etc.)

Module 4: Fine-Tuning Code Suggestions and Customization

  • Customizing the behavior of CodeWhisperer suggestions
  • Leveraging contextual information for improved code accuracy
  • Configuring personal coding style preferences
  • Evaluating and modifying code suggestions to meet specific requirements

Module 5: Using CodeWhisperer for Cloud Development

  • Writing cloud-based applications with CodeWhisperer
  • Integrating with AWS SDK and AWS services
  • CodeWhisperer for serverless applications (Lambda, API Gateway, etc.)
  • Building scalable cloud infrastructure with recommended code patterns

Module 6: Advanced CodeWhisperer Features and Techniques

  • Using CodeWhisperer for debugging and error handling suggestions
  • Leveraging advanced code refactoring suggestions
  • Collaboration with teams and utilizing shared code bases with CodeWhisperer
  • Integrating CodeWhisperer with DevOps pipelines for continuous delivery

Module 7: CodeWhisperer Best Practices and Security

  • Code security best practices while using AI-generated code
  • Reviewing and testing AI-generated code for security vulnerabilities
  • How to monitor CodeWhisperer usage within development teams
  • Ensuring compliance with organizational coding standards

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What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024