Generative AI Fundamentals is a transformative specialization by IBM, providing a comprehensive understanding of the fundamental concepts, models, tools, and applications of generative AI. This self-paced course consists of five modules, each delving into different aspects of generative AI, ensuring a holistic grasp of the subject.
Designed for enthusiasts from all backgrounds, this course requires no prior technical knowledge and promises to benefit professionals from diverse fields. Embrace the potential of generative AI and unlock new opportunities.
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The Generative AI Fundamentals specialization comprises five modules covering the introduction and applications, prompt engineering basics, foundation models and platforms, impact, considerations, ethical issues, future and professional growth of generative AI.
Module 1 delves into the introduction and applications of generative AI, distinguishing it from discriminative AI, exploring its capabilities, use cases, and applications in various sectors, and examining common generative AI models and tools for text, code, image, audio, and video generation.
Module 2 focuses on prompt engineering basics, explaining the concept and relevance of prompt engineering in generative AI models, applying best practices for creating prompts, and practicing common prompt engineering techniques and approaches.
Module 3 describes the fundamental concepts of generative AI, its core models, the concept of foundation models, and the capabilities of pre-trained models for AI-powered applications, as well as exploring different generative AI platforms such as IBM watsonx and Hugging Face.
Module 4 delves into the limitations of generative AI, ethical concerns, considerations for responsible use, and the economic and social impact of generative AI.
Module 5 explores the future of generative AI, potential career opportunities, enhancements, and applications at work, offering insights into leveraging generative AI for professional growth.
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