AI Fundamentals for Business Leaders: Up to Date with Generative AI (Byte-Sized Learning Series, #1) (eBook, ePUB)
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2025 Edition. 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.More Than a BookBy purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, an...
2025 Edition. 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.
More Than a Book
By purchasing this book, you will also be granted free 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.
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.
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.
- Chapters 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.
More Than a Book
By purchasing this book, you will also be granted free 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.
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.
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.
- Chapters 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.
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