Applied AI and Machine Learning Foundations

Are you curious about Artificial Intelligence and Machine Learning but unsure where to begin? This course provides a clear, text-based path to understanding the fundamental principles and practical applications of these transformative technologies. By completing this course, you will gain a solid conceptual understanding of AI and ML, enabling you to confidently approach real-world problems and lay the groundwork for further specialization. What you'll learn: * Understand core concepts of Artificial Intelligence and Machine Learning. * Learn how to prepare and preprocess data for machine learning models. * Apply fundamental supervised and unsupervised learning algorithms. * Master techniques for evaluating and improving model performance. * Explore ethical considerations and biases in AI systems. * Practice basic prompt engineering for interacting with generative AI. * Develop a structured approach to solving problems with machine learning. This course progresses from essential definitions and theoretical underpinnings to practical algorithm implementation and modern considerations. You will read through explanations and code snippets, then apply your knowledge through practice exercises. This course is designed for absolute beginners with no prior experience in AI or Machine Learning. No prerequisites are required. Begin your journey into the exciting world of AI and Machine Learning today.