AI-Assisted Programming for Web and Machine Learning: Improve your development workflow with ChatGPT and GitHub Copilot

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Table of Contents:
Table of Contents

1. It's a New World, One With AI Assistants, and You're Invited
2. Prompt Strategy
3. Tools of the Trade: Introducing Our AI Assistants
4. Build the Appearance of Our App with HTML and Copilot
5. Style the App with CSS and Copilot
6. Add Behavior with JavaScript
7. Support Multiple Viewports Using Responsive Web Layouts
8. Build a Backend with Web APIs
9. Augment Web Apps with AI Services
10. Maintaining Existing Codebases
11. Data Exploration with ChatGPT
12. Building a Classification Model with ChatGPT
13. Building a Regression Model for Customer Spend with ChatGPT
14. Building an MLP Model for Fashion-MNIST with ChatGPT
15. Building a CNN Model for CIFAR-10 with ChatGPT
16. Unsupervised Learning: Clustering and PCA
17. Machine Learning with Copilot
18. Regression with Copilot Chat
19. Regression with Copilot Suggestions
20. Increasing Efficiency with GitHub Copilot
21. Agents in Software Development
22. Conclusion

Christoffer Noring works as a Senior Advocate at Microsoft and focuses on application development and AI. He's a Google Developer Expert and a public speaker on 100+ presentations across the world. Additionally, he's a tutor at the University of Oxford on cloud patterns and AI. Chris is also a published author on Angular, NGRX, and programming with Go.Jain Anjali :

Anjali Jain is a London-based AI and ML professional with a career spanning over two decades. Currently working as a data architect for Metrobank, she brings her expertise in AI, data, architecture, data governance, and software development to the financial sector. Anjali holds a bachelor's degree in electrical engineering and boasts certifications, including TOGAF 9.1 and ITIL 2011 Foundation. In her role as Senior AI and ML tutor at Oxford, she shares cutting-edge knowledge on various technologies.Fernandez Marina :

Marina Fernandez is a data science and Databricks consultant with expertise in financial risk management. She contributes to the academic team at the University of Oxford, where she holds the positions of senior AI and ML tutor and guest lecturer. Throughout her 20-year career, Marina has worked on the development of large-scale enterprise systems for various business domains. Her experience encompasses e-commerce, e-learning, software security, commodity trading, commodity trading and risk management systems, and regulatory reporting. Marina obtained her MSc in Software Engineering from the University of Oxford. Additionally, she has earned professional certifications, including Microsoft Certified Professional and Certified Scrum MasterMutlu Ayşe :

Ayşe Mutlu is a data scientist working on Azure AI and DevOps technologies. Based in London, Ayşe's work involves building and deploying Machine Learning and Deep Learning models using the Microsoft Azure framework (Azure DevOps and Azure Pipelines). She enjoys coding in Python and contributing to open-source initiatives in Python.Jaokar Ajit :

Ajit Jaokar is a data scientist for Feynlabs, building AI prototypes for complex applications. He is also a course director for AI at the University of Oxford. Besides this, Ajit is a visiting fellow in Engineering Sciences at the University of Oxford and conducts AI courses at the London School of Economics, Universidad Politecnica de Madrid, and the Harvard Kennedy School of Government as part of The Future Society. His work at Oxford and his company is based on interdisciplinary aspects of AI, including AI with digital twins, quantum computing, metaverse, Agtech, and life sciences. His teaching is based on a methodology for AI and cyber-physical systems, which he is developing as part of his research.