Generative AI is transforming the way we create content, from text and images to videos and music. This course will introduce you to generative models like GANs, VAEs, and transformers, enabling you to build AI systems that generate realistic and creative outputs. Whether you are interested in AI-generated art, natural language processing, or deepfake technology, this course will provide the foundation you need to master generative AI.
This course dives into the core principles of Generative AI, covering techniques such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformer-based models like GPT. You will explore how these models create new data from learned patterns and develop real-world applications. Through hands-on projects, you will train your own AI models to generate text, images, and more.
- Fundamentals of Generative AI and its applications.
- Introduction to VAEs, GANs, and Transformer models.
- Training generative models for text, image, and video synthesis.
- Real-world applications in creative AI and automation.
- Ethical concerns and responsible AI usage.
Earn an industry-recognized Techbriq certification in Deep Learning, validating your expertise in building and deploying deep neural networks for AI applications.
- Overview of generative models
- Applications in art, music, and automation
- Ethical concerns in Generative AI
- Understanding GANs and their components
- Training and optimizing GAN models
- Practical applications of GANs
- Introduction to GPT and BERT models
- Text generation and language modeling
- Implementing generative NLP solutions
- Creating AI-generated images
- Developing a text-generation model
- Fine-tuning pre-trained models
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