Generative AI - Introduction and Applications Free Course for Beginners
Introduction
This course's major objective is to give students the skills and knowledge they need to navigate the rapidly evolving field of generative AI with competence. An in-depth study of artificial intelligence will be provided to participants in this long course, with a focus on generative models. An engaging and thorough learning experience is offered by this course, which covers everything from comprehending the foundations and advancements of generative AI to examining its numerous applications in a range of industries, including:· Text
· Images
· Audio
· Video
· Virtual environments
· Code
· Data
Participants in the program get access to well-known generative AI models and resources, such as Synthesia, ChatGPT, DALL-E, and Stable Diffusion.
What Will You Gain from This Course
Following the completion of this course, participants will be able to:
· Describe generative AI in further detail, drawing comparisons with discriminative AI and explaining the ways in which they vary in methodology and purpose.
· Describe the wide range of features that generative AI possesses and how it may be used in different real-world situations.
· Examine the various ways that generative AI is being applied in various fields and businesses to show the impact and diversity of this technology.
· Analyze popular generative AI models and tools for creating text, code, images, audio, and videos, emphasizing their value and applications in their respective fields.
Skills Acquired:
· Artificial Intelligence (AI)
· ChatGPT
· Large Language Models (LLM)
· Natural Language Generation
· Generative AI
· GPT
· DALL-E
· IBM Generative AI Classroom
· Synthesia
Who Is This Course For
This course is suitable for:
· Those looking to expand their knowledge and skills in artificial intelligence, particularly in generative models.
· Professionals looking to harness the potential of generative AI in their work.
· Executives interested in understanding the impact and applications of generative AI across various industries.
· Learners keen to gain hands-on experience with popular generative AI models and tools like GPT, DALL-E, Stable Diffusion, and Synthesia.
· Professionals in IT, DevOps, entertainment, education, finance, healthcare, and other sectors interested in integrating generative AI into their workflows.
· Enthusiasts eager to explore the capabilities and advancements in the field of generative AI.
· People curious about the fundamentals and evolution of artificial intelligence, particularly in generative AI.
· Individuals looking for a thorough grasp of generative AI applications in virtual worlds, code, text, images, audio, and video.
· Individuals willing to learn about the capabilities, applications, and breakthroughs in generative AI straight from industry professionals.
· Participants keen to participate in interactive laboratories and hands-on activities to explore the practical applications of generative AI.
Course Content
3 Modules – 10 Videos – 8 Readings – 5 Assignments – Certificate of Completion
Introduction and Capabilities of Generative AI
In this lesson, you will examine the basic concepts of generative artificial intelligence (AI) and discover how it varies from discriminative AI. Learn about the various applications of generative AI, such as text, image, audio, video, and data augmentation.
· 5 Videos – 22 minutes
· 5 Readings – 25 minutes
· 2 Assignments – 22 minutes
· 1 App Item – 15 minutes
· 1 Discussion Prompt – 10 minutes
Applications and Tools of Generative AI
You will learn about the broad uses and profound effects of generative AI in this module, which spans a number of domains and industries, including IT and DevOps, entertainment, education, finance, healthcare, and human resources. Learn about the ways in which generative AI is changing the professional scene, streamlining workflows, and ultimately leading to increased success. In addition, you will study the basic features and useful applications of widely used tools for creating text, images, code, music, video, and virtual worlds.
· 5 Videos – 31 minutes
· 1 Readings – 10 minutes
· 2 Assignments – 22 minutes
· 2 App Item – 11 minutes
· 1 Discussion Prompt
· 3 Plugins – 105 minutes
Course Wrap-Up
This module includes a graded quiz designed to help you reinforce your understanding of the subject matter. Furthermore, a thorough dictionary is included to help with understanding important words related to generative AI. An extra project is offered for individuals looking for a more hands-on experience. It provides a chance to refine abilities in generative AI text, picture, and code generation. Finally, the module provides suggestions for the next actions you should take in your learning journey.
· 2 Readings – 12 minutes
· 1 Assignment – 21 minutes
· 1 Plugin – 60 minutes
· 1 App Item
Description
Professionals, executives, learners, and enthusiasts who wish to fully exploit generative AI should take this course. Explore the realm of AI generative systems. Discover the foundational concepts and advancements of generative artificial intelligence (AI), which is driven by several models, including the revolutionary large language models (LLMs).
Through a thorough look into generative AI, participants will learn about its underlying principles and evolutionary history. They will explore the many uses of generative AI in a variety of domains, including:
· Text
· Photos
· Music
· Video
· Virtual worlds
· Code
· Data
Attendees will also get insightful knowledge about the diverse industries and fields in which generative AI is making major advances.
Participants will be well-equipped to use generative AI in both personal and professional projects after learning about the features and capabilities of popular generative AI models and tools including GPT, DALL-E, Stable Diffusion, and Synthesia.
Interactive laboratories that are smoothly incorporated into the course syllabus offer a dynamic setting for practical generative AI application experimentation. Using well-known technologies like ChatGPT and resources like the IBM Generative AI Classroom, participants will work through practical activities to improve their comprehension of generative AI use cases.
Attendees will also get the opportunity to hear directly from industry professionals, gaining important insights into the capabilities, uses, and resources that are driving advancements in generative AI.
Meet the Instructor
Rav Ahuja - Global Program Director
As the Global Program Director for IBM, Rav Ahuja is in charge of partner activities, curriculum development, and growth strategy for the IBM Skills Network. Rav is the creator of the highly regarded IBM Data Science Professional Certificate and teaches the Databases & SQL for Data Science course on Coursera. He has a plethora of expertise. Rav is committed to enabling learners everywhere and is a co-founder of Cognitive Class, an IBM program aimed at democratizing skills in in-demand technologies. Crafting educational solutions for AI, Data Science, Blockchain, and Cloud, Rav is based in the IBM Canada Lab in Toronto. Rav is well-known for his knowledge and has written several books, articles, papers, and courses on data management and analysis. He also often speaks at international conferences.