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Generative AI Foundation

Generative AI Foundation Exam - Master the Basics of AI Creation. This exam covers the foundational concepts of AI, including machine learning, neural networks, and data generation techniques. Perfect for anyone looking to build a solid base in AI technologies, this certification demonstrates your ability to understand and apply generative AI tools in real-world applications.

Category

Artificial intelligence (AI)
4.8

Exam Details

EXCELCERT Generative AI Foundation Certification exam is focused on Neural Networks Basics, Generative Models Overview, Introduction to Generative Adversarial Networks (GANs), Understanding Variational Autoencoders (VAEs), Introduction to Transformer-based Models, Applications of Generative AI, Ethics and Responsible AI, Tools, Frameworks and Platforms.


Generative AI Foundation Exam - Master the Basics of AI Creation. This exam covers the foundational concepts of AI, including machine learning, neural networks, and data generation techniques. Perfect for anyone looking to build a solid base in AI technologies, this certification demonstrates your ability to understand and apply generative AI tools in real-world applications.


Exam Benefits

Improve operational efficiency and governance, Boost Career Opportunities


Who Should Attend

Aspiring AI Professionals, Tech Enthusiasts, Data Scientists,


Exam Syllabus

Introduction to Generative AI What is Generative AI? Key differences between Generative and Discriminative AI models History and evolution of Generative AI Use cases and real-world applications Fundamentals of Neural Networks Basics of artificial neural networks (ANNs) Deep learning overview Key building blocks: Neurons, activation functions, and layers Generative Models Overview Overview of generative modeling Types of generative models: VAEs, GANs, Transformers, Diffusion models Differences and use cases for each model Introduction to Generative Adversarial Networks (GANs) Architecture of GANs: Generator and Discriminator Training GANs


Exam Details

Exam Information: Exam Duration - 1 Hours Number of Questions: 40 Passing Marks: 26/40 Exam Pattern - MCQs Exam Pass Mark - 70% (70 out of 100) Exam Method - Online Exam Result - Immediate


Exam Rating

4.9
(234 Reviews)
5
82% 212
4
12% 28
3
4% 9
2
1% 5
1
1% 1

Exam Review

  • James Smith

    This course exceeded my expectations! The instructor's knowledge and delivery were excellent. Highly recommend for anyone interested in data science.

  • Michael Brown

    Great course for beginners and experts alike! The instructor breaks down complex topics very well.

  • Emily Johnson

    Excellent structure and well-paced! The instructor has a great teaching style that makes learning fun.

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