Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AI
by I. Almeida(Author)
Publisher finelybook 出版社: Now Next Later AI (July 14, 2023)
Language 语言: English
Print Length 页数: 415 pages
ISBN-10: 0645510556
ISBN-13: 9780645510553
Book Description
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.
