Artificial Intelligence Fundamentals for Business Leaders

<p><strong>2024 Edition.</strong> Free access to the AI Academy! The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI these books break down complex concepts into easily digestible pieces providing you with a solid foundation in the fundamentals of AI.</p><p><br></p><p><strong>More Than a Book</strong></p><p><br></p><p>By purchasing this book you will also be granted <u>free</u> access to the AI Academy platform. There you can view free course modules test your knowledge through quizzes attend webinars and engage in discussion with other readers.</p><p><br></p><p>You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons instructor-graded assignments and live sessions. A course certificate will be awarded upon successful completion.</p><p><br></p><p><strong>AI Academy by Now Next Later AI</strong></p><p><br></p><p>We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically.</p><p><br></p><p><strong>Book and Course Learning Rubric</strong></p><p><br></p><ul><li>Chapters 1-7: <strong>Understanding of AI</strong> [11%] -Demonstrated comprehension of AI's evolution definition applications and comparison with human intelligence.</li><li>Chapters 8-13: <strong>Understanding of Data and Data Management</strong> [11%] - Clear understanding of the significance of big data and strategies for data management.</li><li>Chapters 14-29: <strong>Understanding of Machine Learning</strong> [30%] - Familiarity with machine learning algorithms different learning types and the key steps involved in a machine learning project.</li><li>Chapters 30-35: <strong>Understanding of Deep Learning</strong> [9%] - Understanding of deep learning its basics and the structure and types of neural networks.</li><li>Chapters 36-40: <strong>Understanding of Model Selection and Evaluation</strong> [9%] - Ability to select and evaluate machine learning models and utilize them for decision-making.</li><li>Chapters 41-50: <strong>Understanding of Generative AI</strong> [15%] - Detailed understanding of generative AI its value chain models prompt strategies applications opportunities and governance challenges.</li><li>Assignment: <strong>Practical Application</strong> [15%] - Ability to apply generative AI understanding to real-world business challenges demonstrating critical thinking and strategic planning skills.</li></ul><p><br></p>