Microsoft Azure Fundamentals—Is It Worth It?
July 26, 2024
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This course is part of Responsible AI for Developers Specialization
Instructor: Google Cloud Training
Included with
Define what is Responsible AI
Identify Google’s AI principles
Describe what AI fairness and bias mean
Explain how to identify and mitigate biases through data and modeling
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2 assignments
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This course introduces concepts of responsible AI and AI principles. It covers techniques to practically identify fairness and bias and mitigate bias in AI/ML practices. It explores practical methods and tools to implement Responsible AI best practices using Google Cloud products and open source tools.
This module introduces the course structure and objectives.
This module provides an overview of Responsible AI, covering Google’s AI Principles and sub-topics of Responsible AI. Also, this provides actual case studies of Responsible AI in Google products.
4 videos1 assignment
This module focuses on AI Fairness and Bias. It provides various techniques and tools to identify and mitigate biases through data and modeling.
9 videos1 assignment1 app item
This module provides a summary of the entire course by covering the most important concepts, tools, and technologies.
1 video1 reading
Student PDF links to all modules
4 readings
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.