May 11, 2024
4 minute read
Artificial Intelligence (AI) is the emerging field of computer science that seeks to create machines that can learn like humans. AI-900 certification is a Microsoft Azure certification that validates your fundamental knowledge of AI concepts and how to apply them using Azure AI services. It is designed for individuals who are new to AI and want to learn more about its applications in the cloud.
1. Benefits of AI-900 Certification
5kypk7|
Find a path to becoming a AI-900 Certification. Learn more at:
OpenCourser.com/topic/5kypk7/ai
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AI-900 Certification.
This classic textbook covers the core concepts of AI in depth. It comprehensive resource for those who want to develop a strong foundation in the field.
Explores the ethical and societal implications of AI. It must-read for those who want to understand the broader impact of AI on society.
Provides a probabilistic perspective on machine learning. It valuable resource for those who want to develop a deep understanding of the mathematical foundations of AI.
Provides a comprehensive overview of deep learning, one of the most important subfields of AI. It must-read for those who want to stay up-to-date on the latest advances in the field.
Provides a general understanding of the fundamental concepts and applications of AI. It good starting point for those new to the field.
Provides a comprehensive overview of AI in German. It good resource for those who want to learn more about the field in their native language.
Focuses on the practical aspects of machine learning, with a particular emphasis on deep learning. It valuable resource for those who want to apply AI techniques to real-world problems.
Focuses on the practical aspects of deep learning using the Fastai and PyTorch frameworks. It good choice for those who want to learn how to apply AI techniques to real-world problems.
Provides a hands-on introduction to machine learning using the Scikit-Learn, Keras, and TensorFlow libraries. It good choice for those who want to learn how to build and train machine learning models.
Covers the algorithms and applications of computer vision. It good choice for those who want to learn more about this important subfield of AI.
Provides an introduction to neural networks and deep learning. It good choice for those who want to learn more about these topics.
Focuses on deep learning for natural language processing. It valuable resource for those who want to apply AI techniques to problems in natural language understanding and generation.
Provides a collection of recipes for building and training machine learning models using TensorFlow 2.0. It valuable resource for those who want to use TensorFlow 2.0 to solve real-world problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/5kypk7/ai
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