Free Generative AI Fundamentals Specialization Course for Beginners

Introduction

This extensive curriculum is meticulously designed to provide you with the knowledge, skills, and real-world applications of generative AI so you can use it to improve your life, career, and workplace. You will learn the basics of prompt engineering during this self-paced program, which consists of five condensed sessions that take about three to five hours to complete. You will learn the art of constructing prompts to accomplish desired outcomes using generative AI tools. This specialization invites all enthusiasts, regardless of technical experience, who are eager to unleash the potential of generative AI, whether they are seasoned professionals or fresh to the field.

What Will You Gain from This Course

By the end of this course, you will be able to:

·      Examine the fundamental ideas, features, models, tools, platforms, and applications that support generative AI foundation models.

·      Make use of strong prompt engineering techniques to create engaging prompts and get the results you want from AI models.

·      Analyze the limitations of generative AI and explore the moral challenges and discussions surrounding its responsible application.

·      Recognize how generative AI may advance your career and provide improvements in your work environment.

Skills Acquired:

·      Artificial Intelligence (AI)

·      Prompt Engineering

·      Generative AI

·      Foundation Models

Who Is This Course For

This course is ideal for:

·      Professionals who want to use generative AI to advance both personally and professionally.

·      Executives who are interested in learning how generative AI may revolutionize their companies.

·      Students who are excited to investigate how generative AI may be used in several fields.

·      Individuals who are captivated by the potential applications of generative AI in artistic endeavors.

·      Anybody interested in harnessing the potential of generative AI, regardless of technical experience, from novices to seasoned experts.

Course Content

5 Specialization Courses – 55 Videos – 45 Readings – 27 Quizzes – 10 Discussion Prompts – Certificate of Completion

Specialization Course 1: Generative AI - Introduction and Applications

This course is designed for a broad range of learners, including professionals, executives, students, and hobbyists who want to learn more about generative AI and use it to their advantage in both their personal and professional lives.

You will explore the fundamental ideas and evolution of generative AI. Discover its many uses in text, pictures, music, video, virtual worlds, programming, and data, among other domains. Learn about its extensive use in a variety of fields and businesses. Additionally, you will become acquainted with the features and capabilities of well-known generative AI models and tools, including Synthesia, GPT, DALL-E, and Stable Diffusion.

Generative AI: Introduction & Capabilities of Generated AI

You will explore the fundamental ideas of generative artificial intelligence (AI) in this module, as well as how it differs from discriminative AI techniques. Discover the wide range of applications of generative AI, including data augmentation techniques and the creation of text, graphics, code, audio, and video.

·      5 Videos – 22 minutes

·      5 Readings – 25 minutes

·      2 Assignments – 22 minutes

·      1 App Item – 15 minutes

·      1 Discussion Prompt – 10 minutes

Generative AI: Application & Tools of Generated AI

This section will examine the wide range of uses and significant effects of generative AI in a number of different fields and businesses, such as IT and DevOps, entertainment, education, finance, healthcare, and human resources. Learn how generative AI is transforming workplaces while promoting success and efficiency. In addition, you will explore the main features and useful applications of well-known programs that are used to create text, graphics, code, music, video, and virtual worlds.

·      5 Videos – 31 minutes

·      1 Readings – 10 minutes

·      2 Assignments – 22 minutes

·      1 Discussion Prompt – 10 minutes

·      3 Plugin – 105 minutes

Generative AI: Wrap-up

This lesson includes a graded quiz to assess and reinforce your understanding of the material. A thorough reference book is also included to help you better comprehend the jargon used in generative AI. Additionally included is an optional project that will allow you to practice applying generative AI approaches to produce text, graphics, and code. Finally, the module provides direction for the next steps in your education, enabling you to keep learning more about this ever-evolving profession.

·      2 Readings – 12 minutes

·      1 Assignments – 21 minutes

·      2 Plugin – 60 minutes

Specialization Course 2: Generative AI - Prompt Engineering Basics

This course is designed for a wide range of learners, including professionals, executives, students, and hobbyists who want to fully use ChatGPT and other generative artificial intelligence (AI) technologies by making use of effective rapid engineering methodologies. You will explore techniques, approaches, and best practices for creating powerful prompts in this course. You will also explore several prompt engineering techniques, such as Interview Pattern, Chain-of-Thought, and Tree-of-Thought.

Generative AI: Prompt Engineering for Generated AI

In this lesson, you will explore the fundamental idea of rapid engineering in the context of generative artificial intelligence. Discover the guiding ideas and techniques of prompt engineering and get knowledge on the most effective ways to create prompts that provide the desired results. You will also evaluate popular prompt engineering tools so you will be ready with the information and tools you need to use prompt engineering approaches in your generative AI projects.

·      5 Videos – 26 minutes

·      4 Readings – 12 minutes

·      2 Assignments – 22 minutes

·      3 App Items – 80 minutes

Prompt Engineering: Techniques & Approaches

This module will teach you how to create prompts that skillfully direct generative AI models towards desired results. Discover a variety of quick engineering strategies intended to improve generative AI models' performance and allow them to produce accurate and pertinent replies.

·      4 Videos – 15 minutes

·      2 Readings – 8 minutes

·      2 Assignments – 22 minutes

·      3 App Items – 80 minutes

·      1 Discussion Prompt – 10 minutes

Prompt Engineering: Wrap-up

This module includes a graded exam designed to help you reinforce your understanding of the course material. Participate in a culminating project that provides practical application of the principles learned during the course. Additionally, supplemental content is accessible, including methods for creating powerful image-generation prompts. You can also use Prompt Lab, a prompting tool designed to improve your prompt engineering abilities inside IBM Watsonx.

·      1 Video – 6 minutes

·      3 Readings – 6 minutes

·      1 Assignments – 21 minutes

·      3 App Items – 35 minutes

·      3 Plugins – 88 minutes

Specialization Course 3: Generative AI - Foundation Models and Platforms

This course is designed for both practitioners and amateurs who are intrigued by the dynamic breakthroughs in the field of generative AI and how they are rapidly changing our environment. You will explore the core ideas of this revolutionary technology, concentrating on basic ideas and important generative AI models. Examine deep learning and large language models (LLMs) to learn about important models like diffusion, transformers, VAEs, GANs, and so on. These act as the fundamental pillars of generative AI, making it easier for you to comprehend its uses and features.

Additionally, you will become acquainted with the concept of foundation models and how they are used to create text, graphics, and code by using pre-trained models and AI application development platforms. Using tools like the IBM Watsonx and IBM Generative AI Classroom, students may immerse themselves in real-world applications of generative AI through hands-on laboratories that are integrated into the course curriculum. In addition, you will investigate a variety of models, such as IBM Granite, OpenAI GPT, Google Flan, and Meta Llama, which will deepen your comprehension of their features, uses, and benefits.

Generative AI: Models

In this lesson, you will explore large language models (LLMs) and deep learning. Discover the wide range of models, such as transformers, diffusion models, variational autoencoders (VAEs), and generative adversarial networks (GANs), that make up the foundation of generative artificial intelligence. You will also become acquainted with foundation models and learn how they are a basis for content creation. Learn how to use these models as a springboard for creating content, giving you a strong platform on which to explore the potential of generative AI.

·      4 Videos – 22 minutes

·      5 Readings – 25 minutes

·      2 Assignments – 22 minutes

·      1 App Item – 15 minutes

·      1 Discussion Prompt – 10 minutes

·      1 Plugin – 5 minutes

Generative AI: Platforms

In this module, you will explore the world of pre-trained models and platforms that are necessary for developing AI applications. Examine how foundation models, which use pre-trained models as a basis, may produce text, graphics, and code. In addition, you will learn about the unique qualities, functionalities, and real-world uses of several platforms, such as IBM Watsonx and Hugging Face.

·      5 Videos – 29 minutes

·      2 Readings – 4 minutes

·      2 Assignments – 22 minutes

·      2 App Items – 65 minutes

·      1 Plugin – 6 minutes

Generative AI: Wrap-up

This module includes a graded exam to help you reinforce your understanding of the course material. Participate in a concluding project that provides practical application of the principles learned during the course. Finally, the module provides direction for the next phases of your education, enabling you to keep learning and developing your generative AI knowledge and abilities.

·      3 Readings – 14 minutes

·      1 Assignments – 21 minutes

·      2 App Items – 15 minutes

·      4 Plugins – 90 minutes

Specialization Course 4: Generative AI - Impact, Considerations, and Ethical Issues

This course explores the profound effects of generative artificial intelligence (AI) on the environment, businesses, labor force, and society at large. It is designed for professionals, executives, policymakers, and students who are curious about the ethical, economic, and societal implications of generative artificial intelligence.

You will learn about the ethical challenges surrounding generative AI throughout the course, including data privacy, biases, copyright infringement, and the rise of deep fakes. Additionally, you will learn about the proper application of generative AI and look at issues related to safety, privacy, responsibility, and transparency.

Limitations & Ethical Issues of Generative AI

In this lesson, you will explore the many restrictions, worries, and moral dilemmas related to generative artificial intelligence. Learn about the intrinsic limits that result from things such as the limitations of the training data and the difficulties associated with interpretability and accuracy. Moreover, you will look at the possible drawbacks and abuses of generative AI, with a particular emphasis on the spread of deepfake technology.

·      8 Videos – 41 minutes

·      4 Readings – 15 minutes

·      2 Assignments – 22 minutes

·      1 Discussion Prompt – 10 minutes

·      2 Plugin – 50 minutes

Social and Economic Impact and Responsible Generative AI:

You will study the necessity and intricacies of developing and applying generative AI responsibly in this session. You will learn about the many viewpoints of important stakeholders on the moral use of AI technology.

·      7 Videos – 46 minutes

·      3 Readings – 14 minutes

·      3 Assignments – 32 minutes

·      1 Plugin – 30 minutes

Course Conclusion

In this module, you will work on a final project that will apply your newly acquired knowledge practically and will be focused on the course themes. A dictionary is also included to help you better grasp terms relevant to generative AI. Additionally, a graded exam will be presented to you in order to evaluate and confirm your understanding of the course material. The program concludes by providing advice on how to proceed with your next learning stages.

·      3 Readings – 14 minutes

·      1 Assignments – 21 minutes

·      2 Plugins – 33 minutes

Specialization Course 5: Generative AI - Business Transformation and Career Growth

You will learn about the significant impact that generative AI has on both existing organizations and individual professions. This course is designed for anyone who is interested in how generative AI may be used to improve company and career opportunities. It is open to professionals in a range of sectors, as well as executives, managers, startup founders, and students.

Learn how to set up a company for generative AI adoption and investigate the effects it may have on various sectors. Additionally, you will investigate possible career paths in the field of generative AI and learn how it might improve your chances for advancement in the workplace. Discover how generative AI can improve current jobs, responsibilities, and abilities in a variety of industries, giving you the tools you need to succeed in a changing labor market.

Generative AI in Business: Trends, Ideas, and Implementation

This module explores how generative AI has the ability to completely change the way organizations and sectors operate. Explore the most recent developments in generative AI and their significant effects on the business and industrial environment. Examine how generative AI is changing already-existing companies and opening up new doors for commercial initiatives. Learn the crucial advice that companies need to know in order to get ready to use generative AI and make sure they can take full advantage of its potential for innovation and expansion.

·      6 Videos – 30 minutes

·      4 Readings – 18 minutes

·      2 Assignments – 22 minutes

·      1 Discussion Prompt – 10 minutes

·      3 Plugin – 37 minutes

Generative AI: Impact and Opportunities for Career

This module is designed to shed light on how generative AI may drastically alter career paths. Learn about the growing positions and professional paths in the field of generative artificial intelligence. Leverage the potential of generative AI to get insightful knowledge that can improve your employment chances in a variety of disciplines. This session provides vital advice on how to take advantage of the potential that generative AI presents to further your career.

·      6 Videos – 37 minutes

·      2 Readings – 5 minutes

·      2 Assignments – 22 minutes

·      2 App Items – 30 minutes

·      1 Discussion Prompt – 10 minutes

·      3 Plugins – 66 minutes

Course Ending

In this module, you will work on a final project based on the ideas covered in the course, providing practical experience with the knowledge you have gained. Additionally, a graded exam will be presented to you in order to evaluate and confirm your understanding of the course material. The lesson concludes by providing advice on how to proceed with your next learning stages, facilitating a smooth transition to more research and development in the area of generative AI.

·      2 Readings – 4 minutes

·      1 Assignments – 21 minutes

·      2 App Item – 40 minutes

·      1 Plugins – 35 minutes

Description

Discover the world of generative AI with a thorough specialization that will provide you with the knowledge, skills, and resources you need. This is a self-paced course consisting of five short courses that take three to five hours to complete.

Learn the trade of prompt engineering and develop the skills necessary to create prompts that effectively achieve desired results in generative AI systems. Explore the fundamental concepts and components of generative AI, such as:

·      IBM Granite

·      DALL-E

·      GPT

While exploring the moral issues and ramifications associated with this technology.

Learn from professionals how to use generative AI to advance your work and productivity. These activities utilize user-friendly platforms such as IBM Watsonx.ai, OpenAI ChatGPT, Stable Diffusion, and Hugging Face and provide an opportunity to investigate various applications.

Meet the Instructor(s)

Rav Ahuja - Global Program Director at IBM and SkillUp EdTech

Being a seasoned specialist in AI, data science, cloud, and blockchain, Rav is in charge of spreading knowledge about cutting-edge technologies. Leading IBM Skills Network's growth strategy and curriculum development, he is the creative force behind the well-received IBM Data Science Professional Certificate. Rav co-founded Cognitive Class, an IBM effort aimed at supplying in-demand skills with an emphasis on empowering individuals. Situated at the IBM Canada Lab in Toronto, Rav has a wide range of experience that includes articles on data management and analysis, worldwide event presentations, and instructional solutions. Rav, who graduated from the University of Western Ontario and McGill University, provides unmatched expertise and experience in his teaching positions.

Antonio Cangiano - Engineering Manager and AI Specialist at IBM

Antonio is a multi-talented individual who is well-known for his expertise in entrepreneurship, AI, internet marketing, and programming. He offers a plethora of knowledge and expertise to his work and is fervently dedicated to his trade. Antonio, a well-known blogger and published author, offers insightful commentary on developments in the IT sector. His enthusiasm for artificial intelligence and his relentless dedication to perfection make him an invaluable asset in advancing technical developments.