Generative AI and Responsible AI Practices with Google Cloud Course Overview

Generative AI and Responsible AI Practices with Google Cloud Course Overview

Unlock the future of technology with our Generative AI and Responsible AI Practices with Google Cloud course. This program is designed to provide learners with a comprehensive understanding of generative AI and the ethical principles surrounding its use. Participants will explore key learning objectives, including mastering AI model development, understanding data ethics, and implementing responsible AI frameworks.

Throughout the course, students will engage in practical applications, utilizing Google Cloud tools to build and deploy generative AI solutions. By the end, they'll be equipped to create innovative projects while ensuring compliance with responsible AI practices, preparing them for a dynamic career in the tech industry.

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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for Generative AI and Responsible AI Practices with Google Cloud

The Generative AI and Responsible AI Practices with Google Cloud course empowers professionals to harness the power of AI responsibly, focusing on best practices and ethical considerations in AI development.


  • Data Scientists
  • AI/ML Engineers
  • Software Developers
  • Cloud Architects
  • Business Analysts
  • Product Managers
  • IT Managers
  • Compliance Officers
  • Researchers and Academics
  • AI Ethics Consultants
  • Digital Transformation Leaders
  • Technical Project Managers
  • Marketing Professionals
  • Cybersecurity Specialists
  • Decision Makers in Technology and Innovation


Learning Objectives - What you will Learn in this Generative AI and Responsible AI Practices with Google Cloud?

Introduction:
The Generative AI and Responsible AI Practices with Google Cloud course equips students with essential skills in developing AI solutions responsibly, covering key concepts in generative AI technologies and ethical practices in AI deployment.

Learning Objectives and Outcomes:

  • Understand the fundamentals of generative AI and its applications.
  • Explore the ethical implications and responsibilities of AI technologies.
  • Gain hands-on experience with Google Cloud AI tools and services.
  • Learn to design AI solutions that align with ethical standards.
  • Develop skills to evaluate and mitigate biases in AI models.
  • Implement best practices for data privacy and security in AI projects.
  • Analyze real-world case studies of responsible AI implementation.
  • Understand regulatory frameworks and compliance for AI solutions.
  • Collaborate effectively in interdisciplinary teams on AI projects.
  • Prepare for future trends and advancements in generative AI technologies.

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