19 Generative AI Real Time Projects End to End

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Description

Welcome to the ultimate hands-on course on Generative AI, where theory meets practice through a series of 20+ real-world projects! This course is meticulously crafted to help you master cutting-edge Generative AI models like GPT, GANs, Transformers, Variational Autoencoders, and more by building complete, end-to-end solutions from scratch.

This comprehensive course is designed to accommodate learners at different levels, making it ideal for both beginners and experienced AI professionals. Whether you are new to the field or have some foundational knowledge, you’ll start with a solid introduction to the core concepts of Generative AI. From there, we’ll dive into advanced topics, ensuring that by the end, you’ll have a deep understanding of the intricacies of various models, their applications, and implementation techniques.

Throughout the course, you’ll work on projects spanning a wide range of domains, including natural language processing, image synthesis, video generation, code completion, music composition, and creative design. Each project is carefully structured to take you through every stage of the development process—from data collection and preprocessing to model building, optimization, and deployment strategies.

By following our step-by-step tutorials, you will gain hands-on experience in building real-world AI applications, creating a rich portfolio of projects that showcase your skills. You’ll also learn about best practices for model performance optimization, cloud deployment, and scaling solutions for various business needs. This course includes source codes, project files, quizzes, and interactive exercises to help reinforce your learning.

By the end, you’ll have the confidence and expertise to build, deploy, and scale state-of-the-art Generative AI solutions in diverse industries.

Course Info

Created by Boktiar Ahmed Bappy
7 hours on-demand video
19 lectures
2,760+ students enrolled
0.0 rating from 0+ reviews
English language
Created on October 02, 2024
Category: Development
Subcategory: Data Science

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