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.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.
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.
Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.
Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.
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Set up for a profession in machine learning. To become job-ready in less than three months, acquire the skills and practical experience that are in high demand.
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