GitHub Copilot for Developers

This hands-on course helps software developers understand how to effectively incorporate Copilot into their software developer workflow.

Upcoming Classes

Dates
Mode
Location
Price
Jun 02Jun 03, 2024
Las Vegas, NV
Las Vegas, NV at AI Con USA
$1,545
Call to Schedule
Anytime
Your Location
Your Location
Select a learning mode button (Public, Live Virtual, etc.) for pricing, details, and a downloadable fact sheet.
Description

GitHub Copilot is a code development-oriented application designed to make it easier to create software applications 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 developers a powerful tool designed to help them optimize their work through suggested code completions. Now, with GitHub Copilot Chat developers can have interactive conversations with Copilot to better understand and refine the code suggestions.

Developers 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 questions.

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

Key takeaways from this class include:

  • Incorporating Prompt Engineering into your code development
  • 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?
Dates
Mode
Location
Price
Jun 02Jun 03, 2024
Las Vegas, NV
Las Vegas, NV at AI Con USA
$1,545
Price: $1,545 USD
Course Duration: 2 Days
Description

GitHub Copilot is a code development-oriented application designed to make it easier to create software applications 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 developers a powerful tool designed to help them optimize their work through suggested code completions. Now, with GitHub Copilot Chat developers can have interactive conversations with Copilot to better understand and refine the code suggestions.

Developers 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 questions.

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

Key takeaways from this class include:

  • Incorporating Prompt Engineering into your code development
  • 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
Additional instructors for this course are:

Don't see a date that fits your schedule? Contact us for scheduling options at 929.777.8102


Price: $1,495 USD
Course Duration: 3 Days
Description

GitHub Copilot is a code development-oriented application designed to make it easier to create software applications 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 developers a powerful tool designed to help them optimize their work through suggested code completions. Now, with GitHub Copilot Chat developers can have interactive conversations with Copilot to better understand and refine the code suggestions.

Developers 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 questions.

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

Key takeaways from this class include:

  • Incorporating Prompt Engineering into your code development
  • 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.

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

Dates
Mode
Location
Price
Call to Schedule
Anytime
Your Location
Your Location
Course Duration: 3 Days
Description

GitHub Copilot is a code development-oriented application designed to make it easier to create software applications 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 developers a powerful tool designed to help them optimize their work through suggested code completions. Now, with GitHub Copilot Chat developers can have interactive conversations with Copilot to better understand and refine the code suggestions.

Developers 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 questions.

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

Key takeaways from this class include:

  • Incorporating Prompt Engineering into your code development
  • 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?

Questions?

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