Generative AI

Chools

Understand the foundational concepts and principles of generative AI.

Evaluate ethical considerations and implications related to generative AI applications.

Consist of two neural networks, a generator and a discriminator, trained adversarially to produce realistic data samples

Composing music, generating sound effects, and creating voice synthesis for applications in film scoring, gaming, virtual reality, and entertainment

Implement and train generative models like GANs, VAEs, and transformers using popular deep learning frameworks.

Generative AI or generative artificial intelligence refers to the use of AI to create new content, like text, images, music, audio, and videos..

Improve customer interactions through enhanced chat and search experiences .

Explore vast amounts of unstructured data through conversational interfaces and summarizations .

Chools

✔️ 100% Placement Assistance With our extensive network of 200+ industry-leading partner companies.
✔️ No Prior Coding Experience is necessary! & Learn from Experienced Cloud Computing Practitioner
✔️ 60,000+ Students and Working Professionals Trained till now and Hands-on Experience with Real Time Industry Linked Projects
✔️ Study now and pay the remaining 50% once you receive an offer letter
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80000+

Projects Completed

70+

Hiring partners

50+

Countries

60000+

Students Served

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Technological Innovation

Generative AI drives advancements in machine learning and artificial intelligence, leading to breakthroughs in model architectures, algorithms, and applications.

Practical Applications

Understanding generative AI enables the development of solutions across industries, including healthcare, entertainment, finance, and manufacturing, by generating data, content, and insights.

Ethical Considerations

Studying generative AI helps address ethical challenges such as copyright issues, misinformation, bias, privacy concerns, and responsible data usage, promoting ethical guidelines and responsible AI practices

Scientific Exploration

Generative AI offers insights into human cognition, creativity, perception, and learning, contributing to interdisciplinary research, understanding intelligence, and simulating complex systems and phenomena.

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