Generative AI for Web Development

Tom Auger is a senior software engineer with extensive experience in building web APIs and web applications for both startups and large enterprises. As an increasing number of breakthroughs were made in AI, Tom decided to take a sabbatical in 2020 and obtained a Master’s degree in Computer Science at Edinburgh University researching AI, machine learning and computer security in greater depth. Tom regularly teaches workshops and bootcamps on Generative AI. He currently leads the development of AI in education at the Tumo Center for Creative Technologies to build an AI powered learning coach. Emma Saroyan graduated with a BS in Computer Science from the American University of Armenia and is currently a developer advocate with a focus on developer products, platforms, and APIs. Before that, she worked at startups at the intersection of technology and education. Emma regularly speaks at international open-source conferences and is an active advocate for women in tech serving on the DISC Committee of NumFOCUS, an organization dedicated to supporting and advancing open-source scientific computing projects. She believes we are at one of the biggest inflection points in human history, given the disruption that Generative AI is creating.    

Part I- Generative AI.- Chapter 1: What is Generative AI.- Chapter 2:  Legal, Ethical, and Security Considerations.- Chapter 3: Introduction to ChatGPT.- Chapter 4: ChatGPT for Web Development.- Chapter 5: Introduction to DALL-E.- Chapter 6: Overview of OpenAI APIs.- Chapter 7: Alternative Models.- Part II - Building Generative AI Powered Web Apps.- Chapter 8: Building a Story/Poetry Generator.- Chapter 9: Building a Language Learning App.- Chapter 10: Building a Blog Site with a Custom Chatbot Widget.- Chapter 11: Conclusion and Further Reading.