Master Generative Ai: Unlock Ai-Powered Innovation
https://DevCourseWeb.com
Published 12/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.41 GB | Duration: 3h 31m
Mastering Generative AI: Unleash the Power of AI Imagination with State-of-the-Art LLMs
What you'll learn
Practical Implementation of Generative Models: Gain hands-on experience in building and training generative models, including GANs and VAEs.
Proficiency in Generative AI Concepts: Develop a strong understanding of generative AI fundamentals, including generative models, discriminative models
Leveraging Large Language Models (LLMs): Learn to harness the power of Large Language Models (LLMs) for real-world applications. Implement cutting-edge LLMs
Ethical Considerations and Best Practices: Acquire knowledge about ethical considerations in AI and generative models, including bias and fairness issues.
Requirements
1. Basic Programming Knowledge: Familiarity with a programming language, preferably Python, is essential. Understanding of fundamental programming concepts is recommended. 2. Mathematics and Statistics Foundation: A basic grasp of mathematics, including linear algebra and calculus, will be beneficial for comprehending AI concepts. 3. Machine Learning Fundamentals: Prior knowledge of machine learning fundamentals, including neural networks, is helpful but not mandatory. 4. Access to Required Tools: Access to a computer with the ability to install necessary software, such as Python, TensorFlow, and PyTorch. 5. Curiosity and Enthusiasm: A strong desire to explore the exciting world of Generative AI and a passion for learning and problem-solving are essential. These prerequisites ensure that students have the foundational knowledge needed to engage with the course material effectively and make the most of their learning experience.