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
Pricing for Models and Platforms for Gen AI
Use Cases for Models and Platforms for Gen AI
FAQs for Models and Platforms for Gen AI
Reviews for Models and Platforms for Gen AI
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Models and Platforms for Gen AI
An AI governance platform that helps teams assess, manage, and demonstrate responsible AI practices with compliance support.
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.
Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.
Become an adept in the field of machine learning. Break into the field of artificial intelligence by mastering the fundamentals of deep learning. Recently upgraded with state-of-the-art methodologies!
Begin to explore NLP. Learn the latest NLP techniques through four practical courses! Last updated in October 2021 to incorporate the most recent methodologies.
Gain foundational knowledge of Linear Algebra and Machine Learning models, explore the scalability of SparkML and Scikit-Learn, and gain practical experience by adjusting models and analyzing vibration sensor data in a real-world IoT example.
Learn to leverage Google Cloud's data-to-AI tools, generative AI capabilities, and Vertex AI for comprehensive ML model development.
Understand how AI improves decision-making accuracy, automates processes for increased efficiency, and impacts your industry to maximize benefits and avoid pitfalls.
The course introduces Google Cloud fundamentals for transforming business models with data, ML, and AI, targeting those interested in cloud AI/ML impacts on business without requiring prior experience, and excludes hands-on technical training.
Explore healthcare data mining methods, theoretical foundations of key techniques, selection criteria, and practical applications with emphasis on data cleansing, transformation, and modeling for real-world problem solving.
Featured Tools
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.
Comprehend generative AI basics, practical applications, ethical implications, and potential impacts on student learning in education.
Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.
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.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Compare & Review AI Tool Directory AI Course Marketplace
