GitHub Copilot is an AI-powered code development tool designed to streamline software creation by leveraging a Large Language Model (LLM) trained on public GitHub repositories. It offers developers intelligent code suggestions and completions, enhancing productivity and code quality.

This comprehensive training course is tailored for software developers aiming to master GitHub Copilot and prepare for the GitHub Copilot Certification exam. Participants will gain hands-on experience and in-depth knowledge to effectively integrate Copilot into their development workflows and confidently approach the certification process.

Key takeaways from this class include:

Understanding GitHub Copilot:

Explore the core functionalities and underlying mechanisms of Copilot.
Learn how Copilot integrates with various Integrated Development Environments (IDEs).
Understand the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise.

Prompt Engineering Techniques:

Develop skills to craft effective prompts that yield accurate and relevant code suggestions.
Practice refining prompts to address complex coding challenges.

Utilizing Copilot Features:

Gain proficiency in using inline code suggestions to accelerate development.
Explore advanced features such as Copilot Chat, Copilot Docs, and Copilot for Pull Requests.
Learn to automate unit test generation and other testing processes using Copilot.

Collaborative Development Practices:

Understand how to effectively use Copilot in team environments, including enterprise workflows.
Leverage Copilot to enhance code reviews and pair programming sessions.

Ethical and Security Considerations:

Address ethical concerns related to intellectual property and code originality.
Ensure compliance with coding standards and protect sensitive information when using Copilot.

Certification Exam Preparation:

Align course content with the GitHub Copilot Certification exam objectives.
Engage in practice scenarios and assessments to build confidence and readiness for the exam.

Practical Applications:

Gain practical experience creating unit test projects and running unit tests in Visual Studio Code.
Learn about specific use cases and customer stories for GitHub Copilot Business and Enterprise.

By completing this course, developers will be equipped with the necessary skills and knowledge to effectively utilize GitHub Copilot in their projects and achieve certification, demonstrating their proficiency in this innovative tool.

Who Should Attend:
This course is designed for software developers, QA engineers, and technical leads who want to:

Improve their coding efficiency and quality using AI-assisted development tools.
Incorporate GitHub Copilot into their development or testing workflows.
Prepare for the GitHub Copilot Certification exam to validate their expertise.
Explore advanced AI-driven capabilities for enterprise-level software development.

GitHub Copilot Certification Exam
This course prepares you for the GitHub Copilot exam. The GitHub Copilot certification exam evaluates your skill in using the AI-driven code completion tool in various programming languages, certifying your capability to optimize software development workflows efficiently. Learn more about GitHub certifications here.

Questions? 929.777.8102 [email protected]

Course Outline

Responsible AI

Understanding ethical AI principles
Identifying risks, limitations, and biases in generative AI tools
Validating AI outputs and ensuring fairness, privacy, and transparency
Strategies to mitigate harms from AI use

GitHub Copilot Plans and Features

Overview of Copilot plans: Individual, Business, Enterprise
Key features in IDEs and differences between plans
Introduction to Copilot Chat and its best practices
Using Copilot for code suggestions, pull requests, and knowledge bases
Managing Copilot Business policies, subscriptions, and audit logs
Integrating Copilot into the command line interface (CLI)

How GitHub Copilot Works and Handles Data

Data flow and lifecycle of code suggestions
How Copilot gathers context and builds prompts
Role of proxy services and filters in data processing
Limitations of Copilot and considerations for data security

Prompt Crafting and Engineering

Fundamentals of effective prompt creation
Contextualizing prompts for accurate suggestions
Best practices in zero-shot and few-shot prompting
Optimizing chat history for improved interactions

Developer Use Cases for AI

Enhancing developer productivity with AI
- Learning new languages and frameworks
- Debugging, modernizing legacy applications, and refactoring
Applications in SDLC management and data science
Addressing limitations in AI-assisted workflows

Testing with GitHub Copilot

Automating unit, integration, and other test types with Copilot
Using Copilot to identify edge cases and improve test coverage
Incorporating Copilot’s features into test-driven development (TDD)

Privacy Fundamentals and Context Exclusions

Understanding privacy implications in Copilot’s operations
Excluding sensitive files and defining context limits
Organizational privacy policies for enterprise users

✓ = Guaranteed to Run

Dates

Mode

Location

Price

Jun 08—Jun 09, 2025

Public Classroom - AI Con USA

Seattle, WA

Seattle, WA at AI Con USA

$1,545

ATTEND

Download Fact Sheet

Price: $1,545 USD

Course Duration: 2 Days

Description

Key takeaways from this class include:

Understanding GitHub Copilot:

Explore the core functionalities and underlying mechanisms of Copilot.
Learn how Copilot integrates with various Integrated Development Environments (IDEs).
Understand the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise.

Prompt Engineering Techniques:

Develop skills to craft effective prompts that yield accurate and relevant code suggestions.
Practice refining prompts to address complex coding challenges.

Utilizing Copilot Features:

Gain proficiency in using inline code suggestions to accelerate development.
Explore advanced features such as Copilot Chat, Copilot Docs, and Copilot for Pull Requests.
Learn to automate unit test generation and other testing processes using Copilot.

Collaborative Development Practices:

Understand how to effectively use Copilot in team environments, including enterprise workflows.
Leverage Copilot to enhance code reviews and pair programming sessions.

Ethical and Security Considerations:

Address ethical concerns related to intellectual property and code originality.
Ensure compliance with coding standards and protect sensitive information when using Copilot.

Certification Exam Preparation:

Align course content with the GitHub Copilot Certification exam objectives.
Engage in practice scenarios and assessments to build confidence and readiness for the exam.

Practical Applications:

Gain practical experience creating unit test projects and running unit tests in Visual Studio Code.
Learn about specific use cases and customer stories for GitHub Copilot Business and Enterprise.

Who Should Attend:
This course is designed for software developers, QA engineers, and technical leads who want to:

Improve their coding efficiency and quality using AI-assisted development tools.
Incorporate GitHub Copilot into their development or testing workflows.
Prepare for the GitHub Copilot Certification exam to validate their expertise.
Explore advanced AI-driven capabilities for enterprise-level software development.

Questions? 929.777.8102 [email protected]

Course Outline

Responsible AI

Understanding ethical AI principles
Identifying risks, limitations, and biases in generative AI tools
Validating AI outputs and ensuring fairness, privacy, and transparency
Strategies to mitigate harms from AI use

GitHub Copilot Plans and Features

Overview of Copilot plans: Individual, Business, Enterprise
Key features in IDEs and differences between plans
Introduction to Copilot Chat and its best practices
Using Copilot for code suggestions, pull requests, and knowledge bases
Managing Copilot Business policies, subscriptions, and audit logs
Integrating Copilot into the command line interface (CLI)

How GitHub Copilot Works and Handles Data

Data flow and lifecycle of code suggestions
How Copilot gathers context and builds prompts
Role of proxy services and filters in data processing
Limitations of Copilot and considerations for data security

Prompt Crafting and Engineering

Fundamentals of effective prompt creation
Contextualizing prompts for accurate suggestions
Best practices in zero-shot and few-shot prompting
Optimizing chat history for improved interactions

Developer Use Cases for AI

Enhancing developer productivity with AI
- Learning new languages and frameworks
- Debugging, modernizing legacy applications, and refactoring
Applications in SDLC management and data science
Addressing limitations in AI-assisted workflows

Testing with GitHub Copilot

Automating unit, integration, and other test types with Copilot
Using Copilot to identify edge cases and improve test coverage
Incorporating Copilot’s features into test-driven development (TDD)

Privacy Fundamentals and Context Exclusions

Understanding privacy implications in Copilot’s operations
Excluding sensitive files and defining context limits
Organizational privacy policies for enterprise users

Class Schedule

Sign-In/Registration 7:30 - 8:30 a.m.
Morning Session 8:30 a.m. - 12:00 p.m.
Lunch 12:00 - 1:00 p.m.
Afternoon Session 1:00 - 5:00 p.m.
Times represent the typical daily schedule. Please confirm your schedule at registration.

Class Fee Includes

• Digital course materials
• Continental breakfasts and refreshment breaks
• Lunches

Instructors

Tom Stiehm

Tom Stiehm is a 20 year veteran of the Information Technology industry. He has spent the past 10 years managing, designing and implementing software products and applications using agile software development methods. Prior to Coveros, Tom held a variety of CTO and architect positions at software development companies. Tom is...Learn More

Jonathan Miller Kauffman

Jonathan Miller Kauffman works as an agile software development and test consultant at Coveros. In this role, Jonathan has helped both government and commercial organizations develop and test high-quality applications, and he has gained his experience by working with healthcare, biomedical device, and research organizations. Jonathan also presents at and...Learn More

Bring this course to your team at your site. Contact us to learn more at 929.777.8102.

✓ = Guaranteed to Run

Dates

Mode

Location

Price

Call to Schedule

Anytime

On-Site / Private

Your Location

Request a Quote

Download Fact Sheet

Course Duration: 3 Days

Description

Key takeaways from this class include:

Understanding GitHub Copilot:

Explore the core functionalities and underlying mechanisms of Copilot.
Learn how Copilot integrates with various Integrated Development Environments (IDEs).
Understand the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise.

Prompt Engineering Techniques:

Develop skills to craft effective prompts that yield accurate and relevant code suggestions.
Practice refining prompts to address complex coding challenges.

Utilizing Copilot Features:

Gain proficiency in using inline code suggestions to accelerate development.
Explore advanced features such as Copilot Chat, Copilot Docs, and Copilot for Pull Requests.
Learn to automate unit test generation and other testing processes using Copilot.

Collaborative Development Practices:

Understand how to effectively use Copilot in team environments, including enterprise workflows.
Leverage Copilot to enhance code reviews and pair programming sessions.

Ethical and Security Considerations:

Address ethical concerns related to intellectual property and code originality.
Ensure compliance with coding standards and protect sensitive information when using Copilot.

Certification Exam Preparation:

Align course content with the GitHub Copilot Certification exam objectives.
Engage in practice scenarios and assessments to build confidence and readiness for the exam.

Practical Applications:

Gain practical experience creating unit test projects and running unit tests in Visual Studio Code.
Learn about specific use cases and customer stories for GitHub Copilot Business and Enterprise.

Who Should Attend:
This course is designed for software developers, QA engineers, and technical leads who want to:

Improve their coding efficiency and quality using AI-assisted development tools.
Incorporate GitHub Copilot into their development or testing workflows.
Prepare for the GitHub Copilot Certification exam to validate their expertise.
Explore advanced AI-driven capabilities for enterprise-level software development.

Questions? 929.777.8102 [email protected]

Course Outline

Responsible AI

Understanding ethical AI principles
Identifying risks, limitations, and biases in generative AI tools
Validating AI outputs and ensuring fairness, privacy, and transparency
Strategies to mitigate harms from AI use

GitHub Copilot Plans and Features

Overview of Copilot plans: Individual, Business, Enterprise
Key features in IDEs and differences between plans
Introduction to Copilot Chat and its best practices
Using Copilot for code suggestions, pull requests, and knowledge bases
Managing Copilot Business policies, subscriptions, and audit logs
Integrating Copilot into the command line interface (CLI)

How GitHub Copilot Works and Handles Data

Data flow and lifecycle of code suggestions
How Copilot gathers context and builds prompts
Role of proxy services and filters in data processing
Limitations of Copilot and considerations for data security

Prompt Crafting and Engineering

Fundamentals of effective prompt creation
Contextualizing prompts for accurate suggestions
Best practices in zero-shot and few-shot prompting
Optimizing chat history for improved interactions

Developer Use Cases for AI

Enhancing developer productivity with AI
- Learning new languages and frameworks
- Debugging, modernizing legacy applications, and refactoring
Applications in SDLC management and data science
Addressing limitations in AI-assisted workflows

Testing with GitHub Copilot

Automating unit, integration, and other test types with Copilot
Using Copilot to identify edge cases and improve test coverage
Incorporating Copilot’s features into test-driven development (TDD)

Privacy Fundamentals and Context Exclusions

Understanding privacy implications in Copilot’s operations
Excluding sensitive files and defining context limits
Organizational privacy policies for enterprise users

Questions?

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GitHub Copilot Certification Bootcamp

Upcoming Classes

Tom Stiehm

Jonathan Miller Kauffman

Bring this course to your team at your site. Contact us to learn more at 929.777.8102.

Questions?

On-Site/Private Training

Let us bring the learning to your team at your location or in an interactive virtual classroom!Choose from more than 50 courses.

Combine World-Class Training and

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Maximize Your Learning Potential

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