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GitHub Copilot for Testers

This hands-on course helps software testers understand how to effectively incorporate Copilot into their testing and test automation workflow.

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Description

GitHub Copilot is a code-oriented application designed to make it easier to create code, including test automation, by using a Large Language Model (LLM) Artificial Intelligence (AI) system trained using public repositories in GitHub covering the range of programming languages in those public repositories.

Since the introduction of GitHub Copilot, software development has been changed forever by giving testers a powerful tool designed to help them optimize their work through suggested code completions for the test automation they write. Now, with GitHub Copilot Chat testers can have interactive conversations with Copilot to better understand and refine the test automation suggestions.

Testers who want to embrace Copilot to become productive will need to learn new skills, including how to work with it using prompt engineering. Prompt engineering is the practice of interactively building a prompt, or structured question, to help Copilot derive the best possible solution to critical coding and testing questions.

Join Coveros for this innovative training class designed to help software testers come up to speed on GitHub Copilot and get a jump start on how to effectively incorporate Copilot into your testing and test automation workflow.

Key takeaways from this class include:

  • Incorporating Prompt Engineering into your code development and test process
  • Effectively using Copilot with inline comments
  • Interacting with Copilot Chat
  • Understanding other additional features, including: Copilot Docs, Copilot Enterprise, Copilot Automated Pull Request
  • What to expect when working with Copilot
  • Automating unit test and other test generation

Who Should Attend
Anyone currently using GitHub or looking to adopt GitHub who wants to learn more about Copilot and how to be more productive. Anyone interested in learning more about how Large Language Model (LLM) Artificial Intelligence (AI) can help software professionals do more while maintaining high-quality software development practices.

Questions? 929.777.8102 [email protected]
Course Outline

Session 1: What is Copilot?

  • Introduction to Copilot
  • How Copilot works under the hood

Session 2:Prompt Engineering

  • Overview
  • 3 different techniques

Session 3: Using Copilot in your IDE

  • Overview and setup
  • Using inline comments to prompt Copilot

Session 4: Copilot Chat

  • Overview and setup
  • How Copilot Chat can change your development process

Session 5: Copilot X

  • Overview of the other features and tools within Copilot
  • Copilot in GitHub.com (yes that’s the name of the tool)
  • Copilot Docs
  • Copilot CLI
  • Copilot Pull Request Summaries

Session 6: Automating Test Generation

  • How can Copilot help with automating test creations?

Session 7: Copilot on the Horizon

  • What new fun is coming for Copilot?
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Don't see a date that fits your schedule? Contact us for scheduling options at 929.777.8102
Download Fact Sheet
Price: $1,545 USD
Course Duration: 2 Days
Description

GitHub Copilot is a code-oriented application designed to make it easier to create code, including test automation, by using a Large Language Model (LLM) Artificial Intelligence (AI) system trained using public repositories in GitHub covering the range of programming languages in those public repositories.

Since the introduction of GitHub Copilot, software development has been changed forever by giving testers a powerful tool designed to help them optimize their work through suggested code completions for the test automation they write. Now, with GitHub Copilot Chat testers can have interactive conversations with Copilot to better understand and refine the test automation suggestions.

Testers who want to embrace Copilot to become productive will need to learn new skills, including how to work with it using prompt engineering. Prompt engineering is the practice of interactively building a prompt, or structured question, to help Copilot derive the best possible solution to critical coding and testing questions.

Join Coveros for this innovative training class designed to help software testers come up to speed on GitHub Copilot and get a jump start on how to effectively incorporate Copilot into your testing and test automation workflow.

Key takeaways from this class include:

  • Incorporating Prompt Engineering into your code development and test process
  • Effectively using Copilot with inline comments
  • Interacting with Copilot Chat
  • Understanding other additional features, including: Copilot Docs, Copilot Enterprise, Copilot Automated Pull Request
  • What to expect when working with Copilot
  • Automating unit test and other test generation

Who Should Attend
Anyone currently using GitHub or looking to adopt GitHub who wants to learn more about Copilot and how to be more productive. Anyone interested in learning more about how Large Language Model (LLM) Artificial Intelligence (AI) can help software professionals do more while maintaining high-quality software development practices.

Questions? 929.777.8102 [email protected]
Course Outline

Session 1: What is Copilot?

  • Introduction to Copilot
  • How Copilot works under the hood

Session 2:Prompt Engineering

  • Overview
  • 3 different techniques

Session 3: Using Copilot in your IDE

  • Overview and setup
  • Using inline comments to prompt Copilot

Session 4: Copilot Chat

  • Overview and setup
  • How Copilot Chat can change your development process

  • Integration testing and model evaluation
  • Model registries and best practices in deploying ML models (AB Testing, Canary)
  • Exercise #4: Setup CI/CD process and integrate testing

Session 5: Monitoring, Logging, and Retraining

  • Setting up monitoring systems for deployed ML models
  • Scalability and auto-scaling considerations for models
  • Implementation of logging and error-tracking systems
  • Retraining strategies when model accuracy deteriorates
  • Exercise #5: Deploy and monitor a model

Session 6: Security and Compliance

  • Security aspects in MLOps: understanding the threats
  • Compliance considerations such as GDPR, HIPAA
  • Implementing authentication and authorization
  • Creating and using AIBOMs
  • Exercise #6: Setting up security measures and AIBOMs

Exercise #7: Putting it all together

Q&A and Wrap-Up

  • Summary and wrap-up of the course
  • References
  • Q&A session to address participant queries

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

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

Additional instructors for this course are:
Jonathan Miller Kauffman

Don't see a date that fits your schedule? Contact us for scheduling options at 929.777.8102
Download Fact Sheet
Price: $1,495 USD
Course Duration: 3 Days
Description

GitHub Copilot is a code-oriented application designed to make it easier to create code, including test automation, by using a Large Language Model (LLM) Artificial Intelligence (AI) system trained using public repositories in GitHub covering the range of programming languages in those public repositories.

Since the introduction of GitHub Copilot, software development has been changed forever by giving testers a powerful tool designed to help them optimize their work through suggested code completions for the test automation they write. Now, with GitHub Copilot Chat testers can have interactive conversations with Copilot to better understand and refine the test automation suggestions.

Testers who want to embrace Copilot to become productive will need to learn new skills, including how to work with it using prompt engineering. Prompt engineering is the practice of interactively building a prompt, or structured question, to help Copilot derive the best possible solution to critical coding and testing questions.

Join Coveros for this innovative training class designed to help software testers come up to speed on GitHub Copilot and get a jump start on how to effectively incorporate Copilot into your testing and test automation workflow.

Key takeaways from this class include:

  • Incorporating Prompt Engineering into your code development and test process
  • Effectively using Copilot with inline comments
  • Interacting with Copilot Chat
  • Understanding other additional features, including: Copilot Docs, Copilot Enterprise, Copilot Automated Pull Request
  • What to expect when working with Copilot
  • Automating unit test and other test generation

Who Should Attend
Anyone currently using GitHub or looking to adopt GitHub who wants to learn more about Copilot and how to be more productive. Anyone interested in learning more about how Large Language Model (LLM) Artificial Intelligence (AI) can help software professionals do more while maintaining high-quality software development practices.

Questions? 929.777.8102 [email protected]
Course Outline

Session 1: What is Copilot?

  • Introduction to Copilot
  • How Copilot works under the hood

Session 2:Prompt Engineering

  • Overview
  • 3 different techniques

Session 3: Using Copilot in your IDE

  • Overview and setup
  • Using inline comments to prompt Copilot

Session 4: Copilot Chat

  • Overview and setup
  • How Copilot Chat can change your development process

Session 5: Copilot X

  • Overview of the other features and tools within Copilot
  • Copilot in GitHub.com (yes that’s the name of the tool)
  • Copilot Docs
  • Copilot CLI
  • Copilot Pull Request Summaries

Session 6: Automating Test Generation

  • How can Copilot help with automating test creations?

Session 7: Copilot on the Horizon

  • What new fun is coming for Copilot?

Class Fee Includes
  • Easy course access: Attend training right from your computer and easily connect your audio via computer or phone. Easy and quick access fits today’s working style and eliminates expensive travel and long days in the classroom.
  • Live, expert instruction: Instructors are sought-after practitioners, highly-experienced in the industry who deliver a professional learning experience in real-time. 
  • Valuable course materials: Courses cover the same professional content as our classroom training, and students have direct access to valuable materials. 
  • Rich virtual learning environment: A variety of tools are built in to the learning platform to engage learners through dynamic delivery and to facilitate a multi-directional flow of information.
  • Hands-on exercises: An essential component to any learning experience is applying what you have learned. Using the latest technology, your instructor can provide hands-on exercises, group activities, and breakout sessions. 
  • Real-time communication: Communicate real-time directly with the instructor. Ask questions, provide comments, and participate in the class discussions.
  • Peer interaction: Networking with peers has always been a valuable part of any classroom training. Live Virtual training gives you the opportunity to interact with and learn from the other attendees during breakout sessions, course lecture, and Q&A.
  • Small class size: Live Virtual courses are limited in small class size to ensure an opportunity for personal interaction.
Instructors
Jonathan Kauffman

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

Additional instructors for this course are:
Tom Stiehm

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
Your Location
Request a Quote
Contact Us
Download Fact Sheet
Course Duration: 3 Days
Description

GitHub Copilot is a code-oriented application designed to make it easier to create code, including test automation, by using a Large Language Model (LLM) Artificial Intelligence (AI) system trained using public repositories in GitHub covering the range of programming languages in those public repositories.

Since the introduction of GitHub Copilot, software development has been changed forever by giving testers a powerful tool designed to help them optimize their work through suggested code completions for the test automation they write. Now, with GitHub Copilot Chat testers can have interactive conversations with Copilot to better understand and refine the test automation suggestions.

Testers who want to embrace Copilot to become productive will need to learn new skills, including how to work with it using prompt engineering. Prompt engineering is the practice of interactively building a prompt, or structured question, to help Copilot derive the best possible solution to critical coding and testing questions.

Join Coveros for this innovative training class designed to help software testers come up to speed on GitHub Copilot and get a jump start on how to effectively incorporate Copilot into your testing and test automation workflow.

Key takeaways from this class include:

  • Incorporating Prompt Engineering into your code development and test process
  • Effectively using Copilot with inline comments
  • Interacting with Copilot Chat
  • Understanding other additional features, including: Copilot Docs, Copilot Enterprise, Copilot Automated Pull Request
  • What to expect when working with Copilot
  • Automating unit test and other test generation

Who Should Attend
Anyone currently using GitHub or looking to adopt GitHub who wants to learn more about Copilot and how to be more productive. Anyone interested in learning more about how Large Language Model (LLM) Artificial Intelligence (AI) can help software professionals do more while maintaining high-quality software development practices.

Questions? 929.777.8102 [email protected]
Course Outline

Session 1: What is Copilot?

  • Introduction to Copilot
  • How Copilot works under the hood

Session 2:Prompt Engineering

  • Overview
  • 3 different techniques

Session 3: Using Copilot in your IDE

  • Overview and setup
  • Using inline comments to prompt Copilot

Session 4: Copilot Chat

  • Overview and setup
  • How Copilot Chat can change your development process

Session 5: Copilot X

  • Overview of the other features and tools within Copilot
  • Copilot in GitHub.com (yes that’s the name of the tool)
  • Copilot Docs
  • Copilot CLI
  • Copilot Pull Request Summaries

Session 6: Automating Test Generation

  • How can Copilot help with automating test creations?

Session 7: Copilot on the Horizon

  • What new fun is coming for Copilot?

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