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Chris Jackson
In this course, Cloud AI Security Principles, you’ll learn to secure cloud-based AI services. First, you’ll explore the various cloud AI offerings. Next, you’ll discover the security risks associated with AI services. Finally, you’ll learn how to leverage cloud-based AI services to secure code and infrastructure. When you’re finished with this course, you’ll have the skills and knowledge of security principles needed to understand cloud-based AI security concerns.
Register for this course and see more details by visiting:
OpenCourser.com/course/9l3efk/cloud
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Taught by Chris Jackson, who are recognized for their expertise in the field of cloud security
Well suited for IT professionals, cybersecurity professionals, and developers looking to secure cloud-based AI solutions
Develops skills and knowledge essential for securing AI solutions in various cloud environments
May be overwhelming for learners without prior experience in cloud computing or AI
Builds a foundation for understanding the security concerns of cloud-based AI
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Cloud AI Security Principles with these
activities:
Review Human Centered Design
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Ground yourself with Human Centered Design principles.
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User Friendly- How the Hidden Rules of Design...
on Amazon
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-
Read the introduction and skim the table of contents
-
Read Chapter 1
-
Read Chapter 2
-
Read Chapter 3
Review essential cloud computing concepts
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Ensure a strong foundation by reviewing core cloud computing concepts before delving into AI security.
Browse courses on
Cloud Computing
Show steps
-
Read articles or watch videos on cloud computing fundamentals.
-
Explore different cloud service providers, such as AWS, Azure, and GCP.
Attend an AI Security Conference
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Network with other AI security professionals and learn about the latest trends and best practices.
Browse courses on
Cloud AI Security
Show steps
-
Research and identify relevant AI security conferences
-
Register for the conference and make travel arrangements
-
Attend the conference and actively participate
-
Follow up with connections made at the conference
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Connect with professionals in AI security
Show steps
Seek guidance and advice from experienced professionals in the field to enhance your learning journey.
Show steps
-
Attend industry events and conferences to network with professionals.
-
Reach out to individuals on LinkedIn or other professional platforms who work in AI security.
-
Request informational interviews to learn from their experiences and insights.
Follow tutorials on AI security techniques
Show steps
Learn from experts by following tutorials on AI security techniques to enhance your knowledge and skills.
Browse courses on
AI Security
Show steps
-
Search for online tutorials or courses on AI security provided by reputable sources.
-
Follow the tutorials, implementing the techniques and concepts demonstrated.
-
Experiment with different AI security tools and technologies.
Participate in peer discussions on AI security
Show steps
Engage with fellow learners to exchange knowledge, insights, and experiences related to AI security.
Show steps
-
Join online forums or study groups dedicated to AI security.
-
Participate in discussions, asking questions, sharing your perspectives, and collaborating with others.
Practice implementing cloud security best practices
Show steps
Gain hands-on experience in implementing cloud security best practices to improve your skills and understanding.
Browse courses on
Cloud Security
Show steps
-
Set up a cloud environment with appropriate security configurations.
-
Implement access control mechanisms, such as IAM roles and permissions.
-
Configure network security settings, including firewalls and virtual private networks (VPNs).
-
Monitor and audit cloud resources for security events.
Build a Simple AI Chatbot
Show steps
Reinforce AI concepts via hands-on experience.
Browse courses on
Chatbots
Show steps
-
Follow along with the tutorial: 'How to create an AI chatbot with Python'
-
Code the AI Chatbot described in the tutorial
-
Deploy the chatbot to a platform like Dialogflow or AWS Lex
-
Test the chatbot's functionality
Create a presentation on an AI security topic
Show steps
Deepen your understanding of AI security by researching, synthesizing, and presenting information on a specific topic.
Browse courses on
AI Security
Show steps
-
Choose an AI security topic that interests you and aligns with the course content.
-
Research and gather relevant information from credible sources.
-
Develop a presentation that includes clear and concise slides, engaging visuals, and well-organized content.
-
Practice your presentation and seek feedback from others.
Develop a cloud AI security plan
Show steps
Apply your learnings by developing a comprehensive cloud AI security plan to demonstrate your understanding and ability to mitigate security risks.
Browse courses on
Cloud AI Security
Show steps
-
Identify and assess potential security risks associated with your cloud AI applications.
-
Develop mitigation strategies and controls to address the identified risks.
-
Document your security plan, clearly outlining the security measures and best practices to be implemented.
Develop a Security Architecture for an AI-Driven System
Show steps
Design and document security measures that detect, prevent, and mitigate potential risks in an AI system.
Browse courses on
Security Architecture
Show steps
-
Analyze the system's architecture and identify potential security risks
-
Design and implement security measures to mitigate identified risks
-
Develop a security architecture document that describes the security measures implemented
Collaborate on an AI Security Project
Show steps
Engage with peers and expand your understanding of AI security through collaborative problem-solving.
Browse courses on
Cloud AI Security
Show steps
-
Form a team of peers with complementary skills
-
Identify a specific AI security problem to address
-
Develop a project plan to address the AI security problem
-
Implement and test the solution
-
Present the solution to the class and an external audience (if desired)
Review Human Centered Design
Show steps
Ground yourself with Human Centered Design principles.
View
User Friendly- How the Hidden Rules of Design...
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and skim the table of contents
- Read Chapter 1
- Read Chapter 2
- Read Chapter 3
Review essential cloud computing concepts
Show steps
Ensure a strong foundation by reviewing core cloud computing concepts before delving into AI security.
Browse courses on
Cloud Computing
Show steps
Show steps
Show steps
- Read articles or watch videos on cloud computing fundamentals.
- Explore different cloud service providers, such as AWS, Azure, and GCP.
Attend an AI Security Conference
Show steps
Network with other AI security professionals and learn about the latest trends and best practices.
Browse courses on
Cloud AI Security
Show steps
Show steps
Show steps
- Research and identify relevant AI security conferences
- Register for the conference and make travel arrangements
- Attend the conference and actively participate
- Follow up with connections made at the conference
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Connect with professionals in AI security
Show steps
Seek guidance and advice from experienced professionals in the field to enhance your learning journey.
Show steps
Show steps
Show steps
- Attend industry events and conferences to network with professionals.
- Reach out to individuals on LinkedIn or other professional platforms who work in AI security.
- Request informational interviews to learn from their experiences and insights.
Follow tutorials on AI security techniques
Show steps
Learn from experts by following tutorials on AI security techniques to enhance your knowledge and skills.
Browse courses on
AI Security
Show steps
Show steps
Show steps
- Search for online tutorials or courses on AI security provided by reputable sources.
- Follow the tutorials, implementing the techniques and concepts demonstrated.
- Experiment with different AI security tools and technologies.
Participate in peer discussions on AI security
Show steps
Engage with fellow learners to exchange knowledge, insights, and experiences related to AI security.
Show steps
Show steps
Show steps
- Join online forums or study groups dedicated to AI security.
- Participate in discussions, asking questions, sharing your perspectives, and collaborating with others.
Practice implementing cloud security best practices
Show steps
Gain hands-on experience in implementing cloud security best practices to improve your skills and understanding.
Browse courses on
Cloud Security
Show steps
Show steps
Show steps
- Set up a cloud environment with appropriate security configurations.
- Implement access control mechanisms, such as IAM roles and permissions.
- Configure network security settings, including firewalls and virtual private networks (VPNs).
- Monitor and audit cloud resources for security events.
Build a Simple AI Chatbot
Show steps
Reinforce AI concepts via hands-on experience.
Browse courses on
Chatbots
Show steps
Show steps
Show steps
- Follow along with the tutorial: 'How to create an AI chatbot with Python'
- Code the AI Chatbot described in the tutorial
- Deploy the chatbot to a platform like Dialogflow or AWS Lex
- Test the chatbot's functionality
Create a presentation on an AI security topic
Show steps
Deepen your understanding of AI security by researching, synthesizing, and presenting information on a specific topic.
Browse courses on
AI Security
Show steps
Show steps
Show steps
- Choose an AI security topic that interests you and aligns with the course content.
- Research and gather relevant information from credible sources.
- Develop a presentation that includes clear and concise slides, engaging visuals, and well-organized content.
- Practice your presentation and seek feedback from others.
Develop a cloud AI security plan
Show steps
Apply your learnings by developing a comprehensive cloud AI security plan to demonstrate your understanding and ability to mitigate security risks.
Browse courses on
Cloud AI Security
Show steps
Show steps
Show steps
- Identify and assess potential security risks associated with your cloud AI applications.
- Develop mitigation strategies and controls to address the identified risks.
- Document your security plan, clearly outlining the security measures and best practices to be implemented.
Develop a Security Architecture for an AI-Driven System
Show steps
Design and document security measures that detect, prevent, and mitigate potential risks in an AI system.
Browse courses on
Security Architecture
Show steps
Show steps
Show steps
- Analyze the system's architecture and identify potential security risks
- Design and implement security measures to mitigate identified risks
- Develop a security architecture document that describes the security measures implemented
Collaborate on an AI Security Project
Show steps
Engage with peers and expand your understanding of AI security through collaborative problem-solving.
Browse courses on
Cloud AI Security
Show steps
Show steps
Show steps
- Form a team of peers with complementary skills
- Identify a specific AI security problem to address
- Develop a project plan to address the AI security problem
- Implement and test the solution
- Present the solution to the class and an external audience (if desired)
Career center
Learners who complete Cloud AI Security Principles will develop knowledge and skills
that may be useful to these careers:
AI Security Analyst
AI Security Analyst
An AI Security Analyst plans and implements security measures to protect AI systems. This role typically requires a bachelor's degree in a field such as computer science or information technology. This course can help an AI Security Analyst build a foundation in AI security principles, which is essential for developing secure AI systems. Additionally, this course can help an AI Security Analyst understand the risks associated with AI services and how to mitigate those risks.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This role typically requires an advanced degree in a field such as computer science, statistics, or mathematics. This course can help a Machine Learning Engineer build a foundation in AI security principles, which is essential for developing secure AI systems. Additionally, this course can help a Machine Learning Engineer understand the risks associated with AI services and how to mitigate those risks.
AI Engineer
AI Engineer
An AI Engineer works with data scientists to develop and implement AI solutions. This role requires an advanced degree in a field such as computer science, mathematics, or statistics. This course can help an AI Engineer build a foundation in AI security principles, which is essential for developing secure AI systems. Additionally, this course can help an AI Engineer understand the risks associated with AI services and how to mitigate those risks.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. This role typically requires an advanced degree in a field such as data science, statistics, or computer science. This course can help a Data Scientist build a foundation in AI security principles, which is essential for developing secure AI systems. Additionally, this course can help a Data Scientist understand the risks associated with AI services and how to mitigate those risks.
Information Security Analyst
Information Security Analyst
An Information Security Analyst plans and implements security measures to protect an organization's data and systems. This role typically requires an advanced degree in a field such as computer science or information technology. This course can help an Information Security Analyst build a foundation in AI security principles, which is essential for developing secure AI systems. Additionally, this course can help an Information Security Analyst understand the risks associated with AI services and how to mitigate those risks.
Cloud Architect
Cloud Architect
A Cloud Architect designs and implements cloud computing solutions. This role typically requires an advanced degree in a field such as computer science or information technology. This course can help a Cloud Architect build a foundation in AI security principles, which is essential for developing secure cloud-based AI solutions. Additionally, this course can help a Cloud Architect understand the risks associated with AI services and how to mitigate those risks.
Cloud Security Engineer
Cloud Security Engineer
A Cloud Security Engineer designs and implements security measures for cloud computing environments. This role typically requires a bachelor's degree in a field such as computer science or information technology. This course can help a Cloud Security Engineer build a foundation in AI security principles, which is essential for developing secure cloud-based AI solutions. Additionally, this course can help a Cloud Security Engineer understand the risks associated with AI services and how to mitigate those risks.
Security Engineer
Security Engineer
A Security Engineer designs, implements, and monitors security systems. This role typically requires a bachelor's degree in a field such as computer science or information technology. This course can help a Security Engineer build a foundation in AI security principles, which is essential for developing secure AI systems. Additionally, this course can help a Security Engineer understand the risks associated with AI services and how to mitigate those risks.
AI Product Manager
AI Product Manager
An AI Product Manager plans and manages the development and launch of AI products. This role typically requires a bachelor's degree in a field such as business or product management. This course can help an AI Product Manager build a foundation in AI security principles, which is essential for developing secure AI products. Additionally, this course can help an AI Product Manager understand the risks associated with AI services and how to mitigate those risks.
AI Project Manager
AI Project Manager
An AI Project Manager plans and manages AI projects. This role typically requires a bachelor's degree in a field such as computer science or project management. This course can help an AI Project Manager build a foundation in AI security principles, which is essential for developing secure AI systems. Additionally, this course can help an AI Project Manager understand the risks associated with AI services and how to mitigate those risks.
Software Developer
Software Developer
A Software Developer designs, develops, and tests software applications. This role typically requires a bachelor's degree in a field such as computer science or software engineering. This course can help a Software Developer build a foundation in AI security principles, which is essential for developing secure AI systems. Additionally, this course can help a Software Developer understand the risks associated with AI services and how to mitigate those risks.
AI Consultant
AI Consultant
An AI Consultant provides advice and guidance to organizations on how to use AI. This role typically requires a bachelor's degree in a field such as computer science or business. This course can help an AI Consultant build a foundation in AI security principles, which is essential for understanding the risks associated with AI services. Additionally, this course can help an AI Consultant develop strategies to help organizations mitigate those risks.
Compliance Officer
Compliance Officer
A Compliance Officer ensures that an organization complies with laws and regulations. This role typically requires a bachelor's degree in a field such as business, law, or compliance. This course can help a Compliance Officer build a foundation in AI security principles, which is essential for understanding the legal and regulatory implications of AI services. Additionally, this course can help a Compliance Officer develop strategies to ensure compliance with those laws and regulations.
Risk Analyst
Risk Analyst
A Risk Analyst identifies and assesses risks to an organization. This role typically requires a bachelor's degree in a field such as business, finance, or risk management. This course can help a Risk Analyst build a foundation in AI security principles, which is essential for understanding the risks associated with AI services. Additionally, this course can help a Risk Analyst develop strategies to mitigate those risks.
Auditor
Auditor
An Auditor examines an organization's financial records and operations to ensure accuracy and compliance. This role typically requires a bachelor's degree in a field such as accounting or finance. This course can help an Auditor build a foundation in AI security principles, which is essential for understanding the risks associated with AI services. Additionally, this course can help an Auditor develop strategies to audit AI systems and ensure their security.
For more career information including salaries, visit:
OpenCourser.com/course/9l3efk/cloud
Reading list
We've selected six 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
Cloud AI Security Principles.
This textbook provides foundational knowledge for security engineering, and is commonly used in academic computer science programs.
Save
This textbook provides foundational knowledge on cloud computing.
Provides a practical introduction to AI and machine learning for developers, including hands-on examples and code snippets.
Provides a comprehensive overview of machine learning from a probabilistic perspective, including supervised learning, unsupervised learning, and Bayesian modeling.
Provides a practical introduction to deep learning for developers, including hands-on examples and code snippets.
Provides a comprehensive overview of cloud security, including the security considerations for cloud AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9l3efk/cloud
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Time
1800 hours
Level
Graduate
Via
Pluralsight
Instructor
Chris Jackson
Language
English
Good to know
Taught by Chris Jackson, who are recognized for their expertise in the field of cloud security
Well suited for IT professionals, cybersecurity professionals, and developers looking to secure cloud-based AI solutions
Develops skills and knowledge essential for securing AI solutions in various cloud environments
May be overwhelming for learners without prior experience in cloud computing or AI
Builds a foundation for understanding the security concerns of cloud-based AI
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