The practical sessions are designed to provide hands-on experience with various Generative AI technologies. Each session focuses on a specific aspect of Gen AI, allowing you to explore concepts in a structured, interactive manner.
These sessions are not only aimed at providing theoretical knowledge but also at guiding you through real-world applications. By completing these practical exercises, you'll gain proficiency in key techniques, models, and tools that are central to the field of Generative AI.
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Session 1: Introduction to Generative AI
This session introduces you to the world of Generative AI, explaining its core concepts, such as neural networks, machine learning, and data generation. You'll understand how AI models can create new, meaningful content and explore its wide range of applications, from art generation to data synthesis. -
Session 2: Text Generation
Learn how to use and fine-tune models like GPT (Generative Pretrained Transformer) to generate high-quality, contextually appropriate text. This session demonstrates how these models can be trained and utilized for natural language processing tasks such as text completion, summarization, and chatbot development. -
Session 3: Image Generation with GANs
Explore the world of Generative Adversarial Networks (GANs), a popular approach to generating realistic images. In this session, you'll learn how GANs work and build a simple image-generation model. You'll also see how GANs are used in real-world applications like creating synthetic images and data augmentation. -
Session 4: Advanced Generative Models
Take a deeper dive into advanced models, including Stable Diffusion and other text-to-image generation techniques. This session will help you understand how these models produce high-quality images from textual descriptions and how to fine-tune them for specific tasks.
By completing these practical sessions, you will:
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Gain hands-on experience: Work directly with state-of-the-art Generative AI models and technologies, from text generation to image synthesis.
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Develop problem-solving skills: Learn how to approach real-world challenges, such as fine-tuning models, optimizing training processes, and managing large datasets.
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Understand core AI techniques: The sessions cover essential AI concepts, helping you build a strong foundation in neural networks, deep learning, and model evaluation.
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Be industry-ready: The skills you gain will be directly applicable to various industries, such as healthcare, entertainment, marketing, and more, where Generative AI is increasingly being adopted.
These practical sessions will empower you to become proficient in the tools and techniques that are shaping the future of AI, giving you the confidence to apply these skills in real-world scenarios.