Ai Fundamentals For Business Leaders Up To Date With Generative Ai I Almeida by I. Almeida instant download after payment.

Introducing "Artificial Intelligence Fundamentals for Business Leaders" - 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.

More Than a Book
By purchasing this book, you will also be granted access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion with other readers.

You will also receive 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.

AI Academy by Now Next Later AI

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.

Book and Course Learning Rubric
• Chapters 1-7: Understanding of AI[11%] —Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence.
• Chapters 8-13: Understanding of Data and Data Management[11%] — Clear understanding of the significance of big data, and strategies for data management.
• Chapters 14-29: Understanding of Machine Learning[30%] — Familiarity with machine learning algorithms, different learning types, and the key steps involved in a machine learning project.
• Chapters 30-35: Understanding of Deep Learning[9%] — Understanding of deep learning, its basics, and the structure and types of neural networks.
• Chapters 36-40: Understanding of Model Selection and Evaluation[9%] — Ability to select and evaluate machine learning models and utilize them for decision-making.
• Lessons 41-50: Understanding of Generative AI[15%] — Detailed understanding of generative AI, its value chain, models, prompt strategies, applications, opportunities, and governance challenges.
• Assignment: Practical Application[15%] — Ability to apply generative AI understanding to real-world business challenges, demonstrating critical thinking and strategic planning skills.

Artificial Intelligence (AI) is a rapidly growing field that focuses on getting computers to perform tasks that typically require human intelligence. In other words, it's all about teaching machines to do things that normally only humans can do. Artificial Intelligence is the capability of a machine to imitate intelligent human behavior. (John McCarthy, one of the founders of the field of AI) AI encompasses a broad range of techniques, including Machine Learning, natural language processing (NLP), computer vision, and robotics, among others. These techniques enable computers to understand language, reason, recognize speech, make decisions, navigate the visual world, learn, and manipulate physical objects, among other capabilities. Machine Learning, in particular, is a key technique used in AI. It focuses on getting computers to learn from data without being explicitly programmed.