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Using Microsoft Azure Security Tools to Protect AI Solutions

Sahil Malik
Securing AI solutions is of paramount importance; not only can AI solutions be hacked, they can be used to hack other systems. In this course, Using Microsoft Azure Security Tools to Protect AI Solutions, you'll explore how AI and security introduce new...
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Securing AI solutions is of paramount importance; not only can AI solutions be hacked, they can be used to hack other systems. In this course, Using Microsoft Azure Security Tools to Protect AI Solutions, you'll explore how AI and security introduce new challenges that we conventionally did not have to worry about. You'll then learn about the various facilities Azure offers that work with Azure ML workspace in helping you secure your AI solutions. Finally, you'll review the various facets you need to consider and the various processes and artifacts you must secure. By the end of this course, you will have a clear vision and understand the various building blocks required to secure Azure AI solutions.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches learners to secure AI in Azure, a highly relevant skill in the industry
Taught by Sahil Malik, an expert in the field of AI security
Provides hands-on labs for learners to apply their knowledge
Introduces learners to various Azure tools for securing AI solutions
Requires learners to have some prior knowledge in AI and Azure
Focuses primarily on securing AI solutions in Azure, which may limit its applicability in other cloud platforms

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Learners who complete Using Microsoft Azure Security Tools to Protect AI Solutions will develop knowledge and skills that may be useful to these careers:
Security Analyst
Security Analysts have a vital role in protecting organizations from cyber threats. The course called Using Microsoft Azure Security Tools to Protect AI Solutions can help you develop the skills needed for this role. You will learn how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Information Security Analyst
Information Security Analysts design and implement security measures to protect an organization's information systems and data. This includes developing and implementing security policies and procedures, conducting security risk assessments, and monitoring and responding to security incidents. The course called Using Microsoft Azure Security Tools to Protect AI Solutions can help you develop the skills needed for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Chief Information Security Officer (CISO)
CISOs are responsible for the overall security of an organization's information systems and data. This includes developing and implementing security policies and procedures, conducting security risk assessments, and managing security incidents. The course called Using Microsoft Azure Security Tools to Protect AI Solutions can help you develop the skills needed for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Security Manager
Security Managers are responsible for the day-to-day security operations of an organization. This includes managing security teams, implementing security controls, and responding to security incidents. The course called Using Microsoft Azure Security Tools to Protect AI Solutions can help you develop the skills needed for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Security Consultant
Security Consultants provide advice and guidance to organizations on how to improve their security posture. This includes conducting security assessments, developing security plans, and implementing security solutions. The course called Using Microsoft Azure Security Tools to Protect AI Solutions can help you develop the skills needed for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Cybersecurity Engineer
Cybersecurity Engineers design, implement, and maintain security systems to protect organizations from cyber attacks. This includes installing and configuring security software and hardware, monitoring security systems for vulnerabilities, and responding to security incidents. The course called Using Microsoft Azure Security Tools to Protect AI Solutions can help you develop the skills needed for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Security Architect
Security Architects design and implement security architectures for organizations. This includes developing and implementing security policies and procedures, conducting security risk assessments, and designing and implementing security solutions. The course called Using Microsoft Azure Security Tools to Protect AI Solutions can help you develop the skills needed for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Compliance Analyst
Compliance Analysts ensure that organizations comply with laws and regulations. This includes conducting compliance audits, developing compliance plans, and implementing compliance controls. The course called Using Microsoft Azure Security Tools to Protect AI Solutions may be useful for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions.
Software Engineer
Software Engineers design, develop, and maintain software applications. This includes writing code, testing software, and debugging software. The course called Using Microsoft Azure Security Tools to Protect AI Solutions may be useful for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Privacy Analyst
Privacy Analysts ensure that organizations comply with privacy laws and regulations. This includes conducting privacy impact assessments, developing privacy policies, and implementing privacy controls. The course called Using Microsoft Azure Security Tools to Protect AI Solutions may be useful for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions.
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. This includes collecting data, cleaning data, training models, and deploying models. The course called Using Microsoft Azure Security Tools to Protect AI Solutions may be useful for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Cloud Engineer
Cloud Engineers design, deploy, and maintain cloud computing systems. This includes provisioning cloud resources, configuring cloud services, and managing cloud security. The course called Using Microsoft Azure Security Tools to Protect AI Solutions may be useful for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Data Scientist
Data Scientists use data to solve business problems. This includes collecting data, cleaning data, analyzing data, and building models. The course called Using Microsoft Azure Security Tools to Protect AI Solutions may be useful for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Security Researcher
Security Researchers identify and develop new security technologies and techniques. This includes conducting research on security vulnerabilities, developing new security algorithms, and designing new security architectures. The course called Using Microsoft Azure Security Tools to Protect AI Solutions may be useful for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.
Penetration Tester
Penetration Testers test the security of computer systems and networks by simulating attacks. This includes identifying vulnerabilities, exploiting vulnerabilities, and reporting vulnerabilities to organizations. The course called Using Microsoft Azure Security Tools to Protect AI Solutions may be useful for this role, as it will teach you how to use Azure ML workspace to identify and mitigate security risks to your AI solutions, how to implement security controls to protect your AI data and models, and how to respond to security incidents.

Reading list

We haven't picked any books for this reading list yet.
Provides a comprehensive overview of the state of AI in China and the United States, and discusses the implications of AI for the global economy and society. It is written by Kai-Fu Lee, a leading AI expert and former president of Google China.
Classic textbook on AI that covers a wide range of topics, from the basics of AI to advanced topics such as machine learning and deep learning. It is written by two leading AI researchers, and is suitable for both students and practitioners.
Comprehensive guide to deep learning, a powerful machine learning technique that has been used to achieve state-of-the-art results in a wide range of applications. It is written by three leading deep learning researchers, and is suitable for both students and practitioners.
Practical guide to machine learning that covers a wide range of topics, from the basics of machine learning to advanced topics such as deep learning. It is written by Andrew Ng, a leading AI researcher and former chief scientist at Google.
Practical guide to machine learning that covers a wide range of topics, from the basics of machine learning to advanced topics such as deep learning. It is written by Aurélien Géron, a leading machine learning researcher and practitioner.
Comprehensive guide to natural language processing, a field of AI that deals with the understanding of human language. It is written by three leading NLP researchers, and is suitable for both students and practitioners.
Comprehensive guide to computer vision, a field of AI that deals with the understanding of digital images and videos. It is written by a leading computer vision researcher, and is suitable for both students and practitioners.
Comprehensive guide to robotics, vision, and control, three closely related fields that are essential for the development of autonomous systems. It is written by a leading robotics researcher, and is suitable for both students and practitioners.
Provides a comprehensive overview of the state of AI in healthcare, and discusses the potential of AI to transform the healthcare industry. It is written by a leading AI researcher and physician, and is suitable for both students and practitioners.
Provides a comprehensive overview of the ethical issues raised by AI, such as the impact of AI on employment, privacy, and safety. It is written by a leading AI ethicist, and is suitable for both students and practitioners.
Provides a practical guide to how businesses can use AI to gain a competitive advantage. It is written by two leading AI experts, and is suitable for both business leaders and AI practitioners.
Provides a vision for how AI can be used to solve some of the world's biggest challenges, such as climate change, poverty, and disease. It is written by two leading AI researchers, and is suitable for both students and practitioners.
Provides a thought-provoking exploration of the future of humanity in the age of AI. It is written by a leading physicist and futurist, and is suitable for both students and practitioners.
Provides a comprehensive overview of the potential risks and benefits of superintelligence, a hypothetical type of AI that is far more intelligent than humans. It is written by a leading AI researcher, and is suitable for both students and practitioners.
Provides practical guidance on the use of security tools for IT professionals, covering topics such as vulnerability assessment, malware detection, and incident response.
Focuses on the use of penetration testing tools and techniques, providing a practical guide to ethical hacking for security professionals.
Provides practical guidance on the analysis of malicious software, covering topics such as reverse engineering, malware detection, and incident response.
Focuses on the practical aspects of network security monitoring, providing guidance on the collection, analysis, and interpretation of network traffic.
Focuses on the use of Kali Linux for penetration testing, providing a practical guide to advanced hacking techniques for security professionals.
Provides a comprehensive overview of network security, covering topics such as cryptography, network security protocols, and security management.

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