Description
Generative AI with Python
Unlock the power of Generative AI with Python in this comprehensive second edition course designed to equip learners with hands-on expertise in AI model development using Python and PyTorch. This course is perfect for aspiring AI engineers, data scientists, and machine learning enthusiasts who want to master modern generative AI techniques efficiently.
Course Description
This updated edition dives deep into the practical and theoretical aspects of generative AI, using Python and PyTorch as the primary development tools. Through a series of step-by-step projects, learners will explore how to build and train models capable of generating text, images, and other complex data structures. Furthermore, the course emphasizes best practices, model optimization, and real-world applications of AI, ensuring students gain both knowledge and practical experience. By the end, learners will confidently create, evaluate, and deploy generative AI solutions across multiple domains.
What You’ll Learn
- Introduction to Generative AI and PyTorch fundamentals
- Building and training neural networks for generative tasks
- Creating text generation models using GPT architectures
- Generating images with GANs (Generative Adversarial Networks)
- Hands-on projects combining Python, PyTorch, and AI algorithms
- Model optimization, deployment, and best coding practices
Requirements
- Basic knowledge of Python programming
- Understanding of machine learning fundamentals
- Familiarity with linear algebra and probability concepts
- Computer with Python and PyTorch installed (installation guide provided)
About the Publication
Written by industry experts with years of practical AI experience, this second edition has been fully updated to include the latest developments in generative AI. The authors focus on hands-on learning, providing detailed code examples and project-based exercises to help learners build professional-grade AI models quickly.
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This course ensures learners not only understand the theory behind generative AI but also acquire the skills to implement advanced AI systems in real-world applications. With detailed explanations, practical exercises, and the latest Python and PyTorch techniques, this course sets you up for success in AI development.
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