Learn fundamental principles of responsible AI development and implementation in the context of generative AI.
Learn fundamental principles of responsible AI development and implementation in the context of generative AI.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Generative AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
ଓଡ଼ିଆ
What you'll learn
Understand responsible AI principles
Analyze GenAI challenges
Implement ethical frameworks
Address AI development risks
Develop responsible solutions
Skills you'll gain
This course includes:
0.2 Hours PreRecorded video
2 assignments
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There is 1 module in this course
This comprehensive microlearning course introduces responsible AI principles in the context of generative AI. Students learn fundamental concepts, challenges, and ethical considerations of AI development. The curriculum covers responsible AI implementation, emotional intelligence in AI, and addressing challenges in the generative AI era.
Introduction to Responsible AI in the Generative AI Era
Module 1 · 1 Hours to complete
Fee Structure
Instructor
Leading the Future of AI Education with Comprehensive Course Portfolio
Fractal Analytics has established itself as a premier provider of cutting-edge technology education through its extensive course offerings on Coursera, spanning artificial intelligence, data science, and business strategy. The curriculum encompasses sixteen specialized courses, including foundational programs like "Python for Data Science" and "Structured Approach to Problem Solving," alongside cutting-edge offerings in Generative AI with courses such as "GenAI for Everyone," "Generative AI Essentials," and "Coding with Generative AI." The platform demonstrates its commitment to responsible technology implementation through courses like "Responsible AI - Principles and Ethical Considerations" and "Responsible AI in the Generative AI Era," while also addressing human aspects of technology through "Behavior Architecture - Understanding Human Behavior" and "Human Decision Making and its Biases." Advanced technical courses include "Introduction to Vertex AI" and "Quantum Computing For Everyone," complemented by practical business applications through "Data Storytelling," "Generative AI for Consultants," and "Successful AI Strategies: A CEO's Perspective." This comprehensive portfolio reflects Fractal Analytics' dedication to providing well-rounded education in emerging technologies while emphasizing ethical considerations and practical applications.
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