Generative AI

Question & Answer

FAQ

Generative AI refers to technology that involves training models to create data, imitate human-like behaviors, and generate outputs such as images, text, or even music. It encompasses various techniques like GANs (Generative Adversarial Networks) and language models.
This course is designed for professionals across diverse fields such as technology, marketing, healthcare, finance, etc., seeking to understand and leverage Generative AI for innovation, problem-solving, and career growth.
While some familiarity with AI concepts can be beneficial, this course is structured to accommodate beginners. It covers fundamental concepts and gradually progresses to advanced topics.
The course covers an array of subjects, including Introduction to Generative AI, GANs, Deep Learning fundamentals, Natural Language Processing (NLP), Computer Vision, Ethical AI, and hands-on practical projects.
Understanding Generative AI can be a game-changer, enhancing career prospects and business opportunities. It can facilitate innovative solutions, automate processes, and provide a competitive edge in various industries.
The course provides a mix of resources such as video lectures, reading materials, practical exercises, case studies, and access to AI tools and platforms for hands-on learning.
Yes, the course includes practical projects to apply your knowledge and reinforce learning. Assessments and quizzes are also included to gauge your understanding of the concepts covered.
Upon successful completion of the course and assessments, a certificate will be awarded, validating your proficiency in Generative AI.
You’ll have access to instructors, discussion forums, and dedicated support to address queries, clarify doubts, and provide guidance throughout the course duration.
Yes, upon completion, you’ll retain access to the course materials, allowing you to revisit concepts and stay updated on advancements in Generative AI.