Course Description

Generative AI represents a groundbreaking area of artificial intelligence that focuses on creating models capable of generating new data, such as text, images, music, and even code, that is indistinguishable from data created by humans. As this technology rapidly evolves, it is revolutionizing industries by enabling the creation of highly personalized content, enhancing creativity, and automating complex tasks.

Our Generative AI Course is designed to provide you with a comprehensive understanding of the principles and applications of generative models, including neural networks, GANs (Generative Adversarial Networks), and transformers. This course will equip you with the skills to develop cutting-edge AI solutions that can generate realistic and innovative outputs across various domains.

You will gain hands-on experience working on live projects from top companies, guided by a JD-based syllabus that ensures you’re learning the most relevant skills for today’s AI-driven job market. Our training is delivered by top IT professionals and developers, ensuring that you receive expert knowledge and mentorship.

What You’ll Learn From This Course

•  Introduction to Generative AI: Understand the fundamentals of generative models and their applications across different industries.
• Deep Learning Foundations: Learn the basics of deep learning, including neural networks, backpropagation, and optimization techniques.
• Generative Models: Explore different types of generative models such as GANs, VAEs (Variational Autoencoders), and autoregressive models.
• Generative Adversarial Networks (GANs): Master the architecture and training process of GANs, and learn how to create realistic images and other media.
• Transformers and Language Models: Dive into advanced models like transformers and learn how they power natural language processing tasks such as text generation, translation, and summarization.
• Ethics and Bias in AI: Understand the ethical considerations and challenges associated with generative AI, including biases in generated content.
• Hands-on Experience with Live Projects: Apply your skills to real-world projects from leading companies, creating generative models that solve practical problems.
• AI in Creative Industries: Learn how generative AI is used in art, music, and content creation, and develop your own creative AI applications.
• Training by Top IT Professionals: Receive mentorship from experienced AI developers who will guide you through complex concepts and ensure you’re prepared for the job market.

Certification

Upon completion of the course, you will receive two valuable certificates:

• Intern Certificate: Acknowledging your practical experience and skills gained through hands-on projects.
• Course Certificate: Validating your comprehensive understanding and proficiency in full stack development.