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Generative AI: Foundation Models and Platforms

United States

The Non-degree in Generative AI: Foundation Models and Platforms at International Business Machines Corporation (IBM) is a program for international students taught in English.

πŸ“– Introduction

International Business Machines Corporation (IBM) is a globally recognized public multinational technology company founded in 1911. Initially named the Computing-Tabulating-Recording Company (CTR), it was renamed IBM in 1924. Known for its pioneering innovations in computer hardware, software, and IT consulting services, IBM has played a key role in advancing fields such as artificial intelligence (AI), cloud computing, and quantum computing. Distinguished by its commitment to research and development, IBM is responsible for groundbreaking inventions like the ATM, personal computer, and the Watson AI system.

πŸ“š About the Program

This course is for all enthusiasts and practitioners with a genuine interest in the rapidly developing field of generative AI, which is transforming our world. The course focuses on the core concepts and generative AI models that form the building blocks of generative AI. You will explore deep learning and large language models (LLMs). You will learn about GANs, VAEs, transformers, and diffusion models; the building blocks of generative AI. You will become familiar with the concept of foundation models. You will also learn about the capabilities of pre-trained models and platforms for AI application development and how foundation models use them to generate text, images, and code. You will explore different generative AI platforms like IBM watsonx and Hugging Face. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through the IBM generative AI classroom and platforms like IBM watsonx. In this course, you will explore different models, such as IBM Granite, OpenAI GPT, Google flan, and Meta Llama. You will also hear from expert practitioners about the capabilities, applications, and tools of generative AI.

This course is for all enthusiasts and practitioners with a genuine interest in the rapidly developing field of generative AI, which is transforming our world. The course focuses on the core concepts and generative AI models that form the building blocks of generative AI. You will explore deep learning and large language models (LLMs). You will learn about GANs, VAEs, transformers, and diffusion models; the building blocks of generative AI. You will become familiar with the concept of foundation models. You will also learn about the capabilities of pre-trained models and platforms for AI application development and how foundation models use them to generate text, images, and code. You will explore different generative AI platforms like IBM watsonx and Hugging Face. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through the IBM generative AI classroom and platforms like IBM watsonx. In this course, you will explore different models, such as IBM Granite, OpenAI GPT, Google flan, and Meta Llama. You will also hear from expert practitioners about the capabilities, applications, and tools of generative AI.

🏫 About the University

IBM, established in 1911, is one of the oldest and most influential technology companies in the world. With its headquarters in Armonk, New York, IBM has been a leader in driving technological advancement across industries. The company is known for delivering enterprise solutions in cloud computing, artificial intelligence, cybersecurity, and quantum computing. Through its AI platform Watson, IBM has revolutionized data analytics and machine learning. With a strong focus on innovation and research, IBM holds thousands of patents and is committed to addressing global challenges through technology and consulting services tailored to businesses worldwide.

πŸ’° Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

βœ… Entry Requirements

All students from all countries are eligible to apply to this program.

πŸ“¬ Admissions Process


1

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2

Step 2

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3

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Application Fee

$0 USD

Service Fee

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Tuition

49

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