This learning path offers a comprehensive introduction to generative AI. This specialization explores the foundations of large language models (LLMs), their diverse applications, and the ethical considerations crucial for responsible AI development and deployment.
Introduction to Generative AI Learning Path Specialization
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Introduction to Generative AI Learning Path Specialization
Instructor: Google Cloud Training
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Get in-depth knowledge of a subject
4.6
(2,640 reviews)
Intermediate level
Some related experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
4.6
(2,640 reviews)
Intermediate level
Some related experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
7 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Google Cloud
Specialization - 4 course series
What you'll learn
Define generative AI
Explain how generative AI works
Describe generative AI model types
Describe generative AI applications
Skills you'll gain
Category: Generative AI
Category: Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Artificial Intelligence
Category: Google Cloud Platform
What you'll learn
Define Large Language Models (LLMs)
Describe LLM Use Cases
Explain Prompt Tuning
Describe Google’s Gen AI Development tools
Skills you'll gain
Category: Large Language Modeling
Category: Generative AI
Category: Prompt Engineering
Category: Google Cloud Platform
Category: Artificial Intelligence and Machine Learning (AI/ML)
What you'll learn
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.
Skills you'll gain
Category: Artificial Intelligence
Category: Accountability
Category: Data Ethics
Category: Organizational Effectiveness
Category: Business Ethics
What you'll learn
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.
Skills you'll gain
Category: Data Ethics
Category: Ethical Standards And Conduct
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Decision Making
Category: Google Cloud Platform
Category: Stakeholder Management
Category: Business Ethics
Category: Compliance Training
Category: Governance
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Frequently asked questions
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. 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.
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