Krunal S. Trivedi is a Microsoft Certified Trainer and a Microsoft Azure MVP for the past 5 years. He has been providing technical training on a variety of Microsoft and non-Microsoft technologies to IT corporations all over the world for the past 14 years. He is an enthusiastic speaker, trainer, writer, and author. Krunal is actively involved in project architecting, building solutions using modern edge technologies such as React, Angular, Docker, and Microsoft Azure, in addition to training. He has worked on numerous projects and products, from requirement gathering to project deployment using the Agile methodology and DevOps pipeline.

“This well-structured, readable, and concise guide is for readers who are preparing for theAI-900 certification exam. … Well suited for beginners, this book is an excellent resource for individuals seeking to pass the AI-900 exam and gain a solid foundation in AI fundamentals. Its comprehensive overview of Azure’s AI capabilities makes it a must-read for aspiring AI professionals. Infact, it is a practical and enjoyable read for anyone interested in AI.” (Gulustan Dogan, Computing Reviews, July 1, 2024)

• Chapter 1:  AI-900 Overview of Exam Preparation.- Chapter 2:  Fundamentals of Artificial Intelligence.- Chapter 3: Machine Learning Fundamental Concepts.- Chapter 4:  Computer Vision.- Chapter 5: Fundamentals of Natural Language Processing.

Krunal S. Trivedi is a Microsoft Certified Trainer and a Microsoft Azure MVP for the past 5 years. He has been providing technical training on a variety of Microsoft and non-Microsoft technologies to IT corporations all over the world for the past 14 years. He is an enthusiastic speaker, trainer, writer, and author. Krunal is actively involved in project architecting, building solutions using modern edge technologies such as React, Angular, Docker, and Microsoft Azure, in addition to training. He has worked on numerous projects and products, from requirement gathering to project deployment using the Agile methodology and DevOps pipeline.

“This well-structured, readable, and concise guide is for readers who are preparing for theAI-900 certification exam. … Well suited for beginners, this book is an excellent resource for individuals seeking to pass the AI-900 exam and gain a solid foundation in AI fundamentals. Its comprehensive overview of Azure’s AI capabilities makes it a must-read for aspiring AI professionals. Infact, it is a practical and enjoyable read for anyone interested in AI.” (Gulustan Dogan, Computing Reviews, July 1, 2024)

• Chapter 1:  AI-900 Overview of Exam Preparation.- Chapter 2:  Fundamentals of Artificial Intelligence.- Chapter 3: Machine Learning Fundamental Concepts.- Chapter 4:  Computer Vision.- Chapter 5: Fundamentals of Natural Language Processing.

Krunal S. Trivedi is a Microsoft Certified Trainer and a Microsoft Azure MVP for the past 5 years. He has been providing technical training on a variety of Microsoft and non-Microsoft technologies to IT corporations all over the world for the past 14 years. He is an enthusiastic speaker, trainer, writer, and author. Krunal is actively involved in project architecting, building solutions using modern edge technologies such as React, Angular, Docker, and Microsoft Azure, in addition to training. He has worked on numerous projects and products, from requirement gathering to project deployment using the Agile methodology and DevOps pipeline.

“This well-structured, readable, and concise guide is for readers who are preparing for theAI-900 certification exam. … Well suited for beginners, this book is an excellent resource for individuals seeking to pass the AI-900 exam and gain a solid foundation in AI fundamentals. Its comprehensive overview of Azure’s AI capabilities makes it a must-read for aspiring AI professionals. Infact, it is a practical and enjoyable read for anyone interested in AI.” (Gulustan Dogan, Computing Reviews, July 1, 2024)

• Chapter 1:  AI-900 Overview of Exam Preparation.- Chapter 2:  Fundamentals of Artificial Intelligence.- Chapter 3: Machine Learning Fundamental Concepts.- Chapter 4:  Computer Vision.- Chapter 5: Fundamentals of Natural Language Processing.