
Dive into the new and exciting world of generative AI and large language models (LLM). Understand the capabilities of generative AI and its use cases in the real world. Identify the applications of generative AI in different sectors and industries.
This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives.
This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs).
In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will also understand the applications of generative AI across different sectors and industries. Plus, you will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia.
As you progress in the course, you'll work on practical hands-on labs providing you an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.
This course comprises three purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 6 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
Students, professionals, executives, or enthusiasts with little to no prior exposure to generative AI
No prior generative AI or coding experience required
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

Designed by the industry for the industry so you can build job-ready skills.

Competency building and global certifications employers are actively looking for.
Yes, the IBM Generative AI Certificate is valuable because it validates your understanding of generative AI fundamentals, tools, and applications across industries. It also provides recognition that youve completed structured learning from a trusted provider.
The IBM Generative AI Essentials is considered one of the best generative AI courses because it introduces learners to large language models, generative AI tools, and real-world applications with hands-on labs.
This generative AI course explores the fundamentals, evolution, and applications of generative AI. Youll learn how it applies to text, image, audio, video, and code, along with practical use cases in industries such as healthcare, finance, and education.
The course is designed for professionals, executives, students, and enthusiasts who want a foundation in generative AI and an understanding of how to apply it in work and personal projects.
Large language models are advanced AI systems trained on massive datasets that can generate human-like text, code, and more. They are important because they power modern generative AI applications and enable new innovations across industries.
Youll explore generative AI tools and models such as GPT, DALL-E, Stable Diffusion, and Synthesia, gaining practical insights into how they generate text, images, audio, and video.
Yes, youll complete hands-on labs using ChatGPT and the IBM Generative AI Classroom, where you can experiment with different models and apply generative AI concepts to practical tasks.
Generative AI is widely used in healthcare, finance, education, marketing, media, and entertainment, as well as in virtual worlds and application development.
Yes, the course covers multiple modalities, including generative AI for text, code, image, audio, and video, giving you a broad understanding of its capabilities.
No prior technical background is required. This is one of the best generative AI courses designed to be beginner-friendly while still valuable for professionals.
Generative AI applications range from creating personalized content and automating tasks to generating visuals, music, and even supporting healthcare innovations. Youll also see examples of generative AI in customer service and education.
Yes, youll earn an IBM Certificate upon completion, which can help validate your skills when applying for roles or enhancing your career.
Yes, completing the course equips you with the knowledge and hands-on experience needed to pursue IBM generative AI certification and similar pathways.
IBM Certificate
03 Modules
04 Skills
Discussion space
04 Hands-on labs
02 Practice quizzes
02 Graded quizzes
01 Final exam
01 Final project
Generate Text Using Generative AI Classroom
Text Generation in Action
Image Generation in Action
Code Generation in Action
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