Generative AI Basics: Fundamentals to Real-World Impacts
Generative AI Basics: Fundamentals to Real-World Impacts, Master Generative AI: Learn the Basics and Apply It to Real-World Solutions.
Course Description
Discover the power of Generative AI with this comprehensive beginner-friendly course! You’ll start with the fundamentals of Generative AI and explore its wide-ranging applications across industries. Through practical, hands-on exercises, you’ll learn to build AI models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Recurrent Neural Networks (RNNs) to generate images, text, and more.
What you’ll learn:
- Lesson 1: Introduction to Generative AI
- Understand what Generative AI is and its key applications.
- Explore different types of Generative AI models and their challenges.
- Hands-on: Set up your environment to start building AI models.
- Lesson 2: Generative Adversarial Networks (GANs)
- Discover the architecture and training process of GANs for image generation.
- Hands-on: Implement and train your own GAN model.
- Lesson 3: Variational Autoencoders (VAEs)
- Learn how VAEs work, including their encoder-decoder structure and objective function.
- Hands-on: Build and apply VAE models to generate data.
- Lesson 4: Sequence Generation with Recurrent Neural Networks (RNNs)
- Master RNNs and LSTMs for text and sequence generation.
- Hands-on: Train RNN models for text generation tasks.
- Lesson 5: Transfer Learning in Generative AI
- Apply transfer learning principles to fine-tune pre-trained models for generative tasks.
- Hands-on: Use transfer learning in image and text generation.
By the end of this course, you will have the knowledge and practical skills to apply Generative AI models in real-world projects. This course is perfect for beginners looking to dive into the exciting field of AI and professionals wanting to expand their expertise in AI-powered creativity.
