Generative AI: Foundation Models and Platforms

Dive into the transformative world of Generative AI in this comprehensive course designed for enthusiasts and professionals alike. Explore key concepts of artificial intelligence, large language models (LLM), pre-trained models, and foundation models. This program offers a detailed examination of how these technologies are being utilized across different platforms like IBM Watson and Hugging Face to revolutionize industries by generating innovative content across text, images, and code.

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About

What you'll learn

Understand the fundamental concepts and distinctions within Generative AI, including the roles and functionalities of LLMs and foundation models.

Gain insights into the architecture and applications of pre-trained models.

Discover the features and capabilities of leading generative AI platforms, exploring their practical use in real-world applications.

Develop hands-on experience through project work, reinforcing your learning and enabling practical application of the concepts discussed.

Skill you'll gain

5 hours

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Curriculum

This course is ideal for individuals interested in machine learning, data scientists, AI researchers, and anyone curious about the advancements and applications of generative AI in various sectors.

Module 1: Models for Generative AI (1 hour)

Introduction to deep learning, LLMs, GANs, VAEs, transformers, and diffusion models.

Module 2: Platforms for Generative AI (2 hours)

Exploration of platforms like IBM Watson and Hugging Face, focusing on pre-trained models for AI applications.

Module 3: Course Quiz, Project, and Wrap Up (2 hours)

Graded quiz, final project for practical application, and a comprehensive wrap-up.