Generative AI for Everyone : A Free Course For Beginners

Introduction

This course will teach the fundamentals of generative AI and its real-world applications. It will cover the basic ideas of generative AI and the purpose of large language models (LLMs) as cognitive partners. The course will also address the many potential applications and limitations of AI and its impact on businesses and society at large. During the course, you will have access to a multitude of materials, such as videos, interactive components, and quizzes, all of which are intended to enhance your education and prepare you for a world powered by artificial intelligence.

What Will You Gain from This Course

Following the completion of this course, participants will:

1. Gain an understanding of generative AI, including its definition, workings, and most common uses.
2. Learn the steps involved in creating a successful prompt, as well as the lifespan of a generative AI project from conception to launch.
3. Learn about the advantages and disadvantages of generative AI for people, companies, and society as a whole.

Skills Acquired:

1. Generative AI Tools
2. Large Language Models
3. AI Strategy
4. Generative AI
5. AI Productivity

Who Is This Course For

This course is designed for:

1. Those with an interest in learning about generative AI and its practical uses.
2. Professionals who want to learn how to use generative AI practically for both simple and complex projects.
3. Technologists and business executives investigating how AI affects many sectors of the economy and society.
4. Anyone who wants to improve their prompt engineering and artificial intelligence abilities.

Course Content

3 Modules – 31 Videos – 8 Readings – 6 Quizzes – 2 App Items – Certificate of Completion

Introduction to Generative AI

This module will begin with an introduction to Generative AI and then discuss the purpose of large language models (LLMs) as thinking partners. You will explore AI's characteristics as a multipurpose technology and discuss its consequences. You will also learn about the many applications of AI for textual analysis, reading, and conversation, as well as the limitations of LLMs.

The session also offers an extra segment on image generation using prompts and helpful advice for creating effective prompts. In addition to the lecture notes, you have access to three further readings and resources to help you study more effectively. At the end of the module, you will take part in quizzes developed to gauge your grasp of the principles and uses of generative artificial intelligence.

1. 10 Videos
2. 3 Readings
3. 2 Quizzes
4. 1 App Item

Generative AI Projects

This module will teach you about generative AI's use in software applications. The material includes an introductory tutorial on writing generative AI code and an optional hands-on coding exercise. You will also gain knowledge of the Retrieval Augmented Generation (RAG), fine-tuning methods, and financial implications associated with generative AI projects.

You will also learn about modeling appropriateness, pretraining LLMs, and optional subjects like instruction tailoring, reinforcement learning from human feedback (RLHF), and tool and agent use. To aid in your study, the module includes readings and lecture notes. There is an extra exercise to explore with generative AI programming for individuals who would like further practice.

1. 10 Videos
2. 1 Reading
3. 2 Quizzes
4. 1 App Item

Generative AI in Business and Society

You will examine the applications and practical features of generative AI in a variety of settings in this program. To further your comprehension, you will do a task analysis of several occupations after receiving an overview of how web UI LLMs are used on a daily basis.

This module will explore new generative AI processes and prospects, look at the team structures required to create generative AI software, and talk about the potential for automation in different industries. You will also talk about AI-related issues, such as responsible AI practices and artificial general intelligence. A summary of the main ideas and a plan for creating a more intelligent world are presented in the module's conclusion.

1. 11 Videos
2. 4 Readings
3. 2 Quizzes

Description

With guidance from AI pioneer Andrew Ng, Generative AI for Everyone provides an unmatched chance to explore the revolutionary possibilities of generative AI. The goal of this course is to provide you with a thorough grasp of generative AI's operation and range of applications.

You will gain knowledge about the potential applications and constraints of generative AI, such as text analysis, reading, and communication, through a blend of theoretical understanding and hands-on training. Advanced subjects like efficient, prompt engineering and beyond-prompting strategies are also covered in the course.

In order to put your knowledge to use, investigate practical applications, and comprehend how generative AI affects society and industry, you will work on practical projects. The course is divided into three main sections, each of which has interactive components, readings, videos, and quizzes to improve student learning.

Meet the Instructor(s)

1. Andrew Ng – Instructor - Stanford University | DeepLearning.AI

In addition to being the Chairman and Co-Founder of Coursera, Dr. Andrew Ng is also an adjunct professor at Stanford University, General Partner at AI Fund, and Founder of DeepLearning.AI. Being a trailblazer in the domains of online education and machine learning, Dr. Ng has had a significant influence on artificial intelligence. In the fields of robotics, machine learning, and related fields, he has written or co-authored more than 100 academic publications. He led the Google Brain team and served as Baidu's Chief Scientist in prior positions. Coursera became the largest MOOC platform in the world because of Dr. Ng's co-founding of the platform. At the moment, he leverages his business endeavors to promote ethical AI techniques.