Exam Details
EXCELCERT Generative AI Professional Certification exam is focused on Neural Networks Basics, Types of Generative Models, Latent Variables and Probability Distributions, Deep Dive into GANs and VAEs, Practical Applications of Generative AI, Ethical Considerations and Challenges
Generative AI refers to a subset of artificial intelligence technologies designed to create new, original content by learning patterns and structures from existing data. Unlike traditional AI, which is primarily used for classification or prediction tasks, generative AI models generate new instances of data—whether that be text, images, videos, music, or other forms of media—based on the knowledge they have acquired from training on large datasets.
At its core, generative AI utilizes sophisticated algorithms, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models (e.g., GPT), to produce outputs that are indistinguishable from real-world data.
Exam Benefits
Validates your expertise in Generative AI, boosting your professional credibility, Provides a formal way to validate your skills in the rapidly growing field of Generative AI, Promotes continuous learning and enhances your overall knowledge in AI
Who Should Attend
AI Engineers, Machine Learning Practitioners, Data Scientists, Software Developers, AI Consultants, AI Enthusiasts and Learners, Product Managers in AI, Entrepreneurs and Innovators
Exam Syllabus
Overview of AI and Machine Learning, Key Concepts in Generative AI, Latent Variables and Probability Distributions, Deep Dive into GANs and VAEs, Advanced Generative Models, Practical Applications of Generative AI, Ethical Considerations and Challenges, Tools and Frameworks for Generative AI, Hands-on Projects and Case Studies,
Exam Details
Exam Duration - 120 Min, Exam Pattern – MCQs Number of Questions: 50 Passing Marks: 26 Exam Method – Online Open Book: Yes Exam Pass Mark - 70% (70 out of 100) Exam Result - Immediate
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