Oreilly – GenAI Superstream: Developing Innovative Apps with Generative AI 2024-7

Description

GenAI Superstream course: Developing Innovative Apps with Generative AI. This course introduces you to practical and practical ways to integrate productive artificial intelligence into your applications. By learning this course, you will be able to add new and attractive features to your application and take the user experience to a higher level. The emergence of generative artificial intelligence has provided new possibilities for application development. From content creation to personalization and recommendations and even customer service, the field of app development has now reached new heights of amazing capabilities. In this course, beyond the surface integration of ChatGPT into a custom app functionality, you’ll learn how to use GNA to build and deploy features that truly engage and impact your app’s users.

What you will learn:

• Proper application of GNI: You will learn how to use generative artificial intelligence in the right tasks and avoid inappropriate applications.
• New Tools and Techniques: You will learn about the latest tools and techniques that have been developed to implement GNA.
• Real-world use cases: By exploring real applications that use the latest advances in GNA, you’ll get new ideas for your application development.

This course is suitable for people who:

• Machine Learning Engineer: If you are building or using GNI technologies, this course will be very useful for you.
• Software Developer or Engineer: If you are looking for ways to add artificial intelligence to your latest application, this course is for you.
• Business or organization leader: If you are looking to explore the potential of productive AI, this course will help you.

Details of GenAI Superstream course: Developing Innovative Apps with Generative AI

• Publisher:  Oreilly
• Instructors: Chloé Messdaghi ,  Rebecca Gorman ,  Michael Running Wolf ,  Jay Alammar ,  Pamela Isom ,  Suhas Pai ,  Michelle Wallig ,  Sai Kumar Arava
• Training level: beginner to advanced
• Training duration: 2 hours and 39 minutes

Course headings

• Rebecca Gorman–Keynote: The Commercial Value of Building Ethics and Safety into GenAI Apps
• Michael Running Wolf: Generational Data Sovereignty for Indigenous Communities
• Jay Alammar: Large Language Models as Building Blocks
• Pamela Isom: Navigating GenAI with Cybersecurity and Ethics
• Suhas Pai: Designing Retrieval-Augmented Generation (RAG) Pipelines
• Michelle Wallig: Leveraging AI and the Power Platform for Active Shooter Mitigation
• Sai Kumar Arava: Improving LLM-Based Marketing Analytics Copilots with Semantic Search and Fine-Tuning

Course images

Sample video of the course

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641 MB