The PandaChat team is proud that our AI solution has been showcased as the number one example of a RAG (Retrieval-Augmented Generation) application in the Coursera course about Generative AI. We are thrilled to be recognized as the go-to example when it comes to Generative AI. Coursera is an influential platform, and we are immensely grateful for the acknowledgment of our solution.

This course, "Generative AI for Everyone," instructed by AI pioneer Andrew Ng, offers a unique perspective on empowering individuals and businesses with generative AI. Andrew guides learners through how generative AI works, its potential, and its limitations. Through hands-on exercises, participants learn to use generative AI effectively, from day-to-day work to more advanced uses. This recognition reaffirms our commitment to excellence in the field of AI.

Course Overview:

Generative AI for Everyone is a course designed to make the fundamentals of Generative AI accessible to all. In this course, participants will:

Understand Generative AI: Learn what generative AI is and how it works, its common use cases, and what this technology can and cannot do.

Lifecycle of a Generative AI Project: Learn to think through the lifecycle of a generative AI project, from conception to launch, including how to build effective prompts.

Opportunities and Risks: Explore the potential opportunities and risks that generative AI technologies present to individuals, businesses, and society.

Course Details:

Level: Beginner

Experience: Recommended

Duration: 5 hours to complete; 3 weeks at 1 hour a week

Schedule: Flexible; Learn at your own pace

Course Content:

This course consists of three modules, instructed by AI pioneer Andrew Ng. It offers a unique perspective on empowering individuals and businesses with generative AI.

Module 1: Understanding Generative AI

Gain insights into what generative AI can do, its potential, and its limitations.

Delve into real-world applications and learn common use cases.

Module 2: Lifecycle of a Generative AI Project

Learn to think through the lifecycle of a generative AI project, from conception to launch.

Discover how to build effective prompts and understand their importance.

Module 3: Opportunities and Risks

Explore the potential opportunities and risks that generative AI technologies present to individuals, businesses, and society.

PandaChat's Achievement

PandaChat's AI solution has been showcased as the number one example of a RAG (Retrieval-Augmented Generation) application in the course. We are incredibly proud to be recognized as the leading example in the field of Generative AI. Our solution being highlighted in such a prestigious platform as Coursera reaffirms our commitment to excellence and innovation.

Andrew Ng's Perspective

Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you'll learn to use generative AI to help in day-to-day work and receive tips on effective prompt engineering, as well as learning how to go beyond prompting for more advanced uses of AI. You’ll get insights into what generative AI can do, its potential, and its limitations. You’ll delve into real-world applications and learn common use cases. You’ll get hands-on time with generative AI projects to put your knowledge into action and gain insight into its impact on both business and society. This course was created to ensure everyone can be a participant in our AI-powered future.

PandaChat is honored and thrilled to be recognized as the #1 example of Generative AI in the Coursera course, "Generative AI for Everyone." We are grateful for this acknowledgment from such an influential platform and invite you to take this course to gain insight into Generative AI, learn the fundamentals, and empower yourself for the AI-powered future.

With PandaChat leading the way, you'll be guided by the best in the field. Let's embrace the future of Generative AI together!