IBM: Introduction to Generative AI Free Course For Beginners

Introduction

In this complete course, students will learn about generative AI and how it is powered by Large Language Models (LLM). The main purpose of this course is to offer basic knowledge about generative AI and equip you with the necessary skills that will make it possible for you to explore and use it in different domains such as image, test, video, audio, code, data, and virtual worlds. The students will also learn about different generative AI models and tools, including DALL-E, GPT, Synthesia, and Stable Diffusion.

What Will You Gain from This Course

Following the completion of this course, participants will:

1. Acquire knowledge about generative AI, including its unique attributes and its differences from discriminative AI.
2. Learn about the potential and practical applications of generative AI.
3. Learn about the many uses of generative AI in various fields and industries.
4. Examine well-known generative AI models and tools for creating text, code, images, audio, and videos.
5. Gain practical experience creating text, images, and code with generative AI apps.

Skills Acquired:

1. Artificial Intelligence (AI)
2. ChatGPT
3. Large Language Models (LLM)
4. DALL-E
5. Stable Diffusion
6. Synthesia
7. Generative AI

Who Is This Course For

This course is designed for:

1. Future AI experts who want to develop their fundamental understanding and useful skills in generative AI.
2. Data scientists who want to learn more about the most recent developments in AI technology.
3. Tech enthusiasts who are keen to discover the potential of generative AI.
4. Programmers who are considering including generative AI tools and models in their work.
5. Business analysts who want to use generative AI to boost productivity and creativity in their companies.
6. Students studying data science and artificial intelligence who want to gain more practical experience and a deeper knowledge of generative AI.

Course Content

3 Modules – 8 Videos – 8 Readings – 5 Quizzes – 2 Discussions Prompts – Certificate of Completion

Module 1: Introduction and Capabilities of Generative AI

The first module will teach students about the fundamental principles and potent capabilities of generative artificial intelligence. You will discover different aspects of generative AI and its capability by watching several captivating videos. Moreover, a practical lab will help you understand how to generate texts employing generative artificial intelligence. The module also includes opportunities for review and assessment through practice and graded quizzes.

1. 3 Videos
2. 4 Readings
3. 2 Quizzes
4. 1 Hands-on Lab
5. 1 Discussion Prompt

Module 2: Applications and Tools of Generative AI

In this module, you will learn about generative AI's many uses and applications in various fields. You will start by watching videos and reading informative articles discussing generative AI's economic potential. This session will introduce you to actual tools for creating text, images, music, videos, and code so that you understand how they work in the real world. It also contains an ungraded quiz and a graded one to assess your understanding. Additionally, it includes a discussion prompt to hear your views on how workplace productivity is being impacted by generative AI.

1. 5 Videos
2. 2 Readings
3. 2 Quizzes
4. 3 Hands-on Labs
5. 1 Discussion Prompt

Module 3: Course Quiz, Project, and Wrap-up

The course ends with a final project where you use generative AI technologies to produce code, graphics, and text. To evaluate your comprehension of the course content, you will also have to take a graded exam. The module ends with readings that thank the course team and congratulate you on your accomplishments. It also offers advice on what to do next.

1. 2 Readings
2. 1 Glossary
3. 1 Final Project
4. 1 Graded Quiz

Description

This in-depth course will explore the foundations and development of generative artificial intelligence (AI). Learn about the power of AI in producing text, graphics, music, video, virtual environments, code, and data. By learning about these capabilities, you may apply AI to drive efficiency and creativity in a variety of sectors and industries.

The properties and capabilities of well-known generative AI models and tools, including Synthesia, GPT, DALL-E, and Stable Diffusion, are covered in the course. You will have the chance to investigate practical applications of generative AI through interactive laboratories that make use of IBM Generative AI Classroom and well-known resources like ChatGPT. You will also get insightful viewpoints from professionals who will impart their expertise and knowledge on the tools and applications of generative AI.

Meet the Instructor(s)

1. Rav Ahuja - Global Program Director at IBM Skills Network

As the Global Program Director for IBM, Rav Ahuja is in charge of partner programs, curriculum development, and growth strategy for the IBM Skills Network. He is one of the co-founders of IBM’s Cognitive Class, which aims to democratize skills in high-demand technologies. Located in Toronto in the IBM Canada Lab, Rav specializes in developing AI, data science, and cloud-based educational solutions. In addition to being a sought-after speaker at conferences throughout the world, he is the author of several books, articles, papers, and courses on data management and analysis.