Deploy and Manage Generative AI Models on Google Cloud Course Overview

Deploy and Manage Generative AI Models on Google Cloud Course Overview

Unlock the potential of artificial intelligence with our Deploy and Manage Generative AI Models on Google Cloud course. Designed for IT professionals and developers, this course focuses on key learning objectives that include understanding generative AI concepts, deploying models effectively, and managing their lifecycle in the Google Cloud environment. Attendees will gain hands-on experience through practical applications, enabling them to implement AI solutions that drive innovation and efficiency in their organizations. By the end of the course, you’ll be equipped to leverage AI technologies, enhancing your skill set and boosting your career in the fast-evolving tech landscape. Join us and take the next step in your AI journey!

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  • Live Training (Duration : 24 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 Deploy and Manage Generative AI Models on Google Cloud

  1. The course "Deploy and Manage Generative AI Models on Google Cloud" enables professionals to master AI model deployment and management, catering to a rapidly evolving tech landscape.


  2. Target Audience and Job Roles:


    • Data Scientists
    • Machine Learning Engineers
    • Cloud Solutions Architects
    • AI/ML Product Managers
    • Software Developers
    • IT Operations Managers
    • Business Analysts
    • DevOps Engineers
    • System Administrators
    • Technology Consultants
    • Research Scientists
    • IT Project Managers
    • University Students in Computer Science or AI
    • Professionals transitioning to AI roles


Learning Objectives - What you will Learn in this Deploy and Manage Generative AI Models on Google Cloud?

Introduction:
The "Deploy and Manage Generative AI Models on Google Cloud" course equips students with the essential skills to effectively deploy, manage, and optimize generative AI models while leveraging Google Cloud technology.

Learning Objectives and Outcomes:

  • Understand the fundamentals of generative AI and its applications.
  • Learn to set up and manage Google Cloud environments for AI projects.
  • Deploy various Generative AI models using Google Cloud services.
  • Optimize model performance and scalability for production use.
  • Implement best practices for security and compliance in AI deployments.
  • Monitor and troubleshoot generative AI models in real-time.
  • Integrate machine learning pipelines and data sources within Google Cloud.
  • Evaluate model effectiveness through practical use cases.
  • Familiarize with tools and frameworks for generative AI on Google Cloud.
  • Develop strategies for continuous improvement of AI models post-deployment.

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