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Debanga Raj Neog

Our "Programming with Generative AI" course takes you on a practical journey, exploring how generative AI tools can transform your coding workflow. Whether you're a software developer, tech lead, or AI enthusiast, this hands-on program is designed for you.

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Our "Programming with Generative AI" course takes you on a practical journey, exploring how generative AI tools can transform your coding workflow. Whether you're a software developer, tech lead, or AI enthusiast, this hands-on program is designed for you.

Learn by doing:

- Dive deep into GitHub Copilot, the innovative tool co-developed by OpenAI and GitHub.

- Master this powerful technology through hands-on examples.

- Seamlessly integrate generative AI into your workflow for a more efficient and creative coding experience.

Stay ahead of the curve:

- Gain a deep understanding of Generative AI's potential in software development.

- Unlock new possibilities and revolutionise the way you code.

- Become a leader in the future of software development innovation.

Here's what you need to get started:

- Visual Studio Code: You'll need to install this free code editor. We provide instructions!

- Python: You'll need Python installed on your computer. Don't worry, we have instructions for that too!

- GitHub Copilot subscription: This is a paid service, but it's key for using Copilot in this course.

Join us and unleash the power of generative AI!

Enroll now

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What's inside

Syllabus

Generative AI Tools for Programming
In this module, you will appreciate the importance of Generative AI for programming, and get introduced to the code companion tools in software development.
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Undertaking a Machine Learning Project using GitHub Copilot
This module will equip you with the practical aspects of GitHub Copilot through a hands-on coding project. In this project, you can implement the entire code without writing a single line yourself, but solely through interactions with an AI Copilot chatbot.
Solving Problems using GitHub Copilot
In this module, you will solve additional problems using GitHub Copilot and learn to utilise its various feature. We will also conclude the course and discuss the next steps.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches the use of Python and GitHub's Copilot
Provides a practical journey into how generative AI tools can transform coding workflow
May require extensive background knowledge
Teaches tools and methods that are highly relevant in the software development industry
Involves hands-on labs and interactive materials
Examines the potential of Generative AI in software development

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Programming with Generative AI with these activities:
Review Python basics
Brush up on the fundamentals of Python, including data types, control flow, and functions, to ensure a strong foundation for this course.
Browse courses on Python Basics
Show steps
  • Review online tutorials or documentation on Python basics.
  • Complete practice exercises or code challenges to reinforce your understanding.
Share your GitHub Copilot experiences through blog posts or articles
Document your journey with GitHub Copilot by creating blog posts or articles, sharing your experiences, insights, and tips with the broader developer community.
Show steps
  • Reflect on your experiences using GitHub Copilot.
  • Identify key takeaways and lessons learned.
  • Write and publish your blog posts or articles on platforms like Medium or Dev.to.
Show all two activities

Career center

Learners who complete Programming with Generative AI will develop knowledge and skills that may be useful to these careers:

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