7 Data Analysis Software Applications You Need to Know
December 15, 2024
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Instructor: Google Cloud Training
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This learning path offers a comprehensive introduction to generative AI. This specialization exploes the foundations of large language models (LLMs), their diverse applications, and the ethical considerations crucial for responsible AI development and deployment.
Applied Learning Project
The learning path on generative AI, covering LLMs and responsible AI, features interactive quizzes throughout the modules. These quizzes assess comprehension of key concepts and terminology. Participants receive immediate feedback, reinforcing learning and identifying areas for further exploration.
Define generative AI
Explain how generative AI works
Describe generative AI model types
Describe generative AI applications
Define Large Language Models (LLMs)
Describe LLM Use Cases
Explain Prompt Tuning
Describe Google’s Gen AI Development tools
Understand why Google has put AI principles in place
Identify the need for a responsible AI practice within an organization.
Recognize that decisions made at all stages of a project have an impact on responsible AI.
Recognize that organizations can design AI to fit their own business needs and values.
Explain the business case for responsible AI.
Identify ethical considerations with AI using issue spotting best practices.
Describe how Google developed and put their AI Principles into practice and leverage their lessons learned.
Adopt a framework for how to operationalize responsible AI in your organization.
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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
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! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
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