AI Foundations: Neural Networks and Generative Models

Artificial intelligence is rapidly reshaping our world, and grasping its fundamentals is now an essential skill. This course demystifies the complex world of AI, making it accessible for everyone. By the end of this course, you will have a solid foundational understanding of how AI and neural networks function, enabling you to confidently engage with and apply generative AI technologies. What you'll learn: * Understand the fundamental concepts of artificial intelligence and machine learning. * Learn how neural networks are structured and process information. * Explore the principles behind large language models and text generation. * Apply basic prompt engineering techniques for effective AI interaction. * Recognize the capabilities and limitations of generative AI models like ChatGPT and Gemini. * Discover how AI generates images using models similar to Kandinsky. * Practice identifying ethical considerations and potential biases in AI systems. The course begins with core definitions and historical context, then progresses through the inner workings of neural networks, leading to practical explorations of generative AI applications. You'll gain both conceptual knowledge and practical insight into interacting with these powerful tools. This course is designed for absolute beginners with no prior experience in artificial intelligence or programming. All explanations are provided in clear, accessible language. Start your journey into the fascinating world of artificial intelligence today.