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Beschreibung
2024 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.
2024 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.
Über den Autor
I. Almeida is the Chief Transformation Officer at Now Next Later AI, an AI advisory, training, and publishing business supporting organizations with their AI strategy, transformation, and governance. With a wealth of experience spanning over 26 years, I. Almeida held senior positions at companies such as Thoughtworks, Salesforce, and Publicis Sapient, where she advised hundreds of executive customers on digital- and technology-enabled Business Strategy and Transformation. She is the author of several books, including three AI guides with a clear aim to provide an independent, balanced and responsible perspective on Generative AI business adoption. I. Almeida serves as an AI advisory member in the Adelaide Institute of Higher Education Course Advisory Committee. She is a regular speaker at industry events such as Gartner Symposium, SXSW, and ADAPT. Her latest books show her extensive knowledge and insights, displaying her unique perspective and invaluable contributions to the field.
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Anwendungs-Software |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Byte-sized Learning |
ISBN-13: | 9780645510553 |
ISBN-10: | 0645510556 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Almeida, I. |
Hersteller: |
Ines Alexandra De Castro Almeida
Byte-sized Learning |
Maße: | 203 x 127 x 23 mm |
Von/Mit: | I. Almeida |
Erscheinungsdatum: | 14.07.2023 |
Gewicht: | 0,451 kg |
Über den Autor
I. Almeida is the Chief Transformation Officer at Now Next Later AI, an AI advisory, training, and publishing business supporting organizations with their AI strategy, transformation, and governance. With a wealth of experience spanning over 26 years, I. Almeida held senior positions at companies such as Thoughtworks, Salesforce, and Publicis Sapient, where she advised hundreds of executive customers on digital- and technology-enabled Business Strategy and Transformation. She is the author of several books, including three AI guides with a clear aim to provide an independent, balanced and responsible perspective on Generative AI business adoption. I. Almeida serves as an AI advisory member in the Adelaide Institute of Higher Education Course Advisory Committee. She is a regular speaker at industry events such as Gartner Symposium, SXSW, and ADAPT. Her latest books show her extensive knowledge and insights, displaying her unique perspective and invaluable contributions to the field.
Details
Erscheinungsjahr: | 2023 |
---|---|
Fachbereich: | Anwendungs-Software |
Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Byte-sized Learning |
ISBN-13: | 9780645510553 |
ISBN-10: | 0645510556 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Almeida, I. |
Hersteller: |
Ines Alexandra De Castro Almeida
Byte-sized Learning |
Maße: | 203 x 127 x 23 mm |
Von/Mit: | I. Almeida |
Erscheinungsdatum: | 14.07.2023 |
Gewicht: | 0,451 kg |
Warnhinweis