Description for Models and Platforms for Gen AI
Fundamentals of Generative AI: Comprehend the theoretical and practical aspects of generative AI, as well as its foundational concepts and principles.
Building Blocks of Generative AI: Discover the fundamental technologies that comprise the foundation of generative AI, including GANs, VAEs, transformers, and diffusion models.
Foundation Models and Their Applications: Discover the process by which foundation models enhance AI capabilities by generating text, images, and code using pre-trained models.
Overview of Generative AI Platforms: Conduct an analysis of the capabilities, applications, and features of prominent platforms, including IBM Watson and Hugging Face.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by IBM
Duration: 1�3 hours per week approx 3 weeks
Schedule: Flexible
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Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
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Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
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