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Introduction to Github Copilot e-Learning (EN)
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Get to know GitHub Copilot's AI capabilities and how you can leverage its potential to dramatically increase your coding productivity
Training codeCGAGITCECESpoken LanguageEnglishLanguage MaterialsEnglishPrice€200,00excl. VAT No extra costs.Individual booking
Learn and develop yourself at any moment and location that you like.
What is Introduction to Github Copilot e-Learning
The Introduction to GitHub Copilot e-learning is designed to provide you with a comprehensive understanding of GitHub's AI-powered coding assistant. This curated learning module delves into how Generative AI (GenAI) functions, the data GenAI is trained on, and when it’s appropriate to leverage GenAI solutions in development environments. The e-learning also provides a basic overview of the Github Copilot setup, helping you understand how tools like GitHub Copilot are revolutionizing the software development process. You’ll explore tips and tricks for crafting prompts, using techniques like zero shot, one shot and few shot, and advanced Copilot features like copilot chat and inline chat. The e-learning provides you with a kickstart in working with Github Copilot and, as a result, dramatically increasing your coding efficiency.
The Introduction to GitHub Copilot e-learning offers more than just an introduction to the tool’s functionality. You’ll gain a deeper understanding of how generative AI is shaping the future of development, allowing you to code faster and smarter.
Who should attend Introduction to Github Copilot e-Learning
This training is suitable for:
- Software Engineers – looking to accelerate coding with AI assistance.
- DevOps Engineers – aiming to streamline workflows and automate routine tasks.
- AI enthusiasts – curious about how LLMs and AI tools like Github Copilot can accelarate coding activities.
- IT managers – wanting to explore the benefits of AI tools to improve team productivity.
- Developers – seeking tools to improve efficiency and learn best practices more quickly.
- Data Scientists – leveraging AI tools to write better, more efficient code.
- Full-stack developers – aiming to improve both front-end and back-end development processes.
Prerequisites
Basic knowledge of coding is recommended. No prior experience with GitHub Copilot or AI tools is required, but a willingness to learn how AI can enhance coding is essential.
Objectives
After this training you will be able to:
- Explain how GitHub Copilot works and its applications in software development.
- Use GitHub Copilot to increase your productivity.
- Craft effective prompts in GitHub Copilot using techniqes like zero shot, one shot and few shot.
- Use advanced features like copilot chat and inline chat.
Get to know GitHub Copilot's AI capabilities and how you can leverage its potential to dramatically increase your coding productivity
Training codeCGAGITCECESpoken LanguageEnglishLanguage MaterialsEnglishPrice€200,00excl. VAT No extra costs.With an Incompany training you have several advantages:
- You choose the location
- You experience the training with your colleagues, so it is always in line with your practice
- The trainer can tailor explanations, examples and assignments to your organization
- In consultation exercises can be adapted to organization-specific questions
Request more information or a quote.What is Introduction to Github Copilot e-Learning
The Introduction to GitHub Copilot e-learning is designed to provide you with a comprehensive understanding of GitHub's AI-powered coding assistant. This curated learning module delves into how Generative AI (GenAI) functions, the data GenAI is trained on, and when it’s appropriate to leverage GenAI solutions in development environments. The e-learning also provides a basic overview of the Github Copilot setup, helping you understand how tools like GitHub Copilot are revolutionizing the software development process. You’ll explore tips and tricks for crafting prompts, using techniques like zero shot, one shot and few shot, and advanced Copilot features like copilot chat and inline chat. The e-learning provides you with a kickstart in working with Github Copilot and, as a result, dramatically increasing your coding efficiency.
The Introduction to GitHub Copilot e-learning offers more than just an introduction to the tool’s functionality. You’ll gain a deeper understanding of how generative AI is shaping the future of development, allowing you to code faster and smarter.
Who should attend Introduction to Github Copilot e-Learning
This training is suitable for:
- Software Engineers – looking to accelerate coding with AI assistance.
- DevOps Engineers – aiming to streamline workflows and automate routine tasks.
- AI enthusiasts – curious about how LLMs and AI tools like Github Copilot can accelarate coding activities.
- IT managers – wanting to explore the benefits of AI tools to improve team productivity.
- Developers – seeking tools to improve efficiency and learn best practices more quickly.
- Data Scientists – leveraging AI tools to write better, more efficient code.
- Full-stack developers – aiming to improve both front-end and back-end development processes.
Prerequisites
Basic knowledge of coding is recommended. No prior experience with GitHub Copilot or AI tools is required, but a willingness to learn how AI can enhance coding is essential.
Objectives
After this training you will be able to:
- Explain how GitHub Copilot works and its applications in software development.
- Use GitHub Copilot to increase your productivity.
- Craft effective prompts in GitHub Copilot using techniqes like zero shot, one shot and few shot.
- Use advanced features like copilot chat and inline chat.
-
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e-CF competences with this course
At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.
| e-Competence Level | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| A.6.Application Design | |||||
| E.1.Forecast Development | |||||
| E.5.Process Improvement | |||||
| D.7.Data Science and Analytics | |||||
| D.10.Information and Knowledge Management | |||||
| B.1.Application Development |