Responsible AI for Developers
Learn to build ethical AI systems with Google Cloud. Master fairness, interpretability, privacy, and safety in AI development.
Learn to build ethical AI systems with Google Cloud. Master fairness, interpretability, privacy, and safety in AI development.
This specialization teaches developers the essential principles and practices of building responsible AI systems. Through three comprehensive courses, participants learn to identify and mitigate bias, implement model interpretability, ensure privacy, and maintain safety in AI applications. Using Google Cloud tools and practical examples, the program covers crucial topics like differential privacy, federated learning, and generative AI safety, preparing developers to create ethical and reliable AI solutions.
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What you'll learn
Identify and mitigate bias in AI systems
Implement model interpretability techniques
Apply privacy-preserving machine learning methods
Ensure AI system safety and transparency
Develop responsible generative AI applications
Use Google Cloud tools for ethical AI development
Skills you'll gain
This course includes:
11 Hours PreRecorded video
Hands-on projects with Google Cloud tools
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 courses in this program
Applied Plotting, Charting & Data Representation in Python
Course 1 · 24 Hours to complete · 4 modules
PV Energy Conversion Examination
Course 2 · 2 Weeks to complete0
Fee Structure
Payment options
Financial Aid
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