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Google Cloud Generative AI

Courses Highlight:

  • This Google Cloud Generative AI course is designed to equip learners with comprehensive knowledge and skills in generative AI, spanning beginner, intermediate, and advanced levels.
  • Beginner level learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.
  • The Intermediate level learning path is - The Gemini for Google Cloud learning path provides examples of how Gemini can help make engineers of all types more efficient in their daily activities. Gemini provides a natural language chat interface which you can quickly chat with to get answers to cloud questions or receive guidance on best practices. Whether you're writing apps, calling APIs, or querying data, Gemini can help complete your code while you write, or generate code blocks based on comments. This learning path provides guidance for multiple roles, including developers, data analysts, cloud engineers, architects, and security engineers.
  • An advanced level learning path is - A Generative AI Learning Path with a technical focus, built for App Developers, Machine Learning Engineers, and Data Scientists.
  • Recommended prerequisite: Introduction to Generative AI learning path.
  • Job Roles:
    • Developers - App Development, Code Generation and Completion\
    • Data Analysts - Data Querying, Analysis Automation
    • Cloud Engineers - Cloud Integration, Infrastructure Management
    • Architects - System Design, Best Practices Guidance
    • Security Engineers - AI Security Measures, Risk Management
    • Machine Learning Engineers - Model Building, Optimization Techniques
    • Data Scientists - Advanced Data Analysis, Predictive Modeling

What will you learn in this Google Cloud – Generative AI Course?

  • By the end of this course, you will be well-equipped with both the theoretical understanding and practical skills required to excel in the rapidly evolving field of generative AI.
  • Foundational Knowledge: Understand the core principles and concepts of generative AI, including how large language models operate and the importance of responsible AI.
  • Practical Applications: Discover practical applications of generative AI in various engineering roles, learning to utilize tools like Gemini to streamline workflows and enhance productivity.
  • Technical Expertise: Develop advanced technical skills necessary for integrating and optimizing generative AI in app development, machine learning, and data science.
  • Ethical AI Deployment: Learn best practices for deploying AI responsibly, addressing ethical concerns, and ensuring the technology is used in a fair and transparent manner.
  • Role-Specific Insights: Gain insights and guidance tailored to specific roles, enhancing your ability to apply generative AI concepts effectively in your professional context.

Google Cloud – Generative AI

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    Artificial Intelligence
  • course-category-icon Course Category
    Deepskilling Course
  • certified-earned-icon Certificate Earned Partner Completion Certificate
  • ssc-assesment-icon Nasscom Assessment Coming Soon
  • course-covered-icon Course Covered under GoI Incentive
    No
    • cost-white-icon Course Price
      Free
    • duration-white-icon Course Duration
      30 Hours
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Why should you take this Google Cloud – Generative AI Course?

  • This course provides a comprehensive journey from foundational concepts to advanced technical skills in generative AI. You'll gain proficiency in cutting-edge AI technologies, enhancing your career prospects in a rapidly growing field.
  • Tailored for diverse roles such as developers, data analysts, and cloud engineers, the course offers practical applications to boost efficiency and productivity.
  • You'll also learn responsible AI principles, ensuring ethical deployment of AI solutions. Earning these skill badges validates your expertise, making you a more attractive candidate to employers. The hands-on, interactive learning environment allows you to apply what you've learned to real-world projects, ensuring practical experience.
  • Stay ahead of industry trends and develop innovative solutions with advanced AI knowledge. This course equips you with the necessary skills to excel and drive progress in your professional endeavors.

Who should take this Google Cloud – Generative AI Course?

  • Students with little to no background experience in GenAI looking for an ideal foundation for diverse career paths including those as AI Content Creator, Machine Learning Engineer, AI Product Manager.

Curriculum

  • Beginner: Introduction to Generative AI Google Learning Path - This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.
  • Intermediate: Gemini for Google Cloud Learning Path - The Gemini for Google Cloud learning path provides examples of how Gemini can help make engineers of all types more efficient in their daily activities. Gemini provides a natural language chat interface which you can quickly chat with to get answers to cloud questions or receive guidance on best practices. Whether you're writing apps, calling APIs, or querying data, Gemini can help complete your code while you write, or generate code blocks based on comments. This learning path provides guidance for multiple roles, including developers, data analysts, cloud engineers, architects, and security engineers.
  • Advanced: Generative AI for Developers Learning Path - A Generative AI Learning Path with a technical focus, built for App Developers, Machine Learning Engineers, and Data Scientists. Recommended prerequisite: Introduction to Generative AI learning path.

Tools you will learn in this Google Cloud – Generative AI Course

These tools equip you with foundational to advanced skills, enhancing your efficiency and technical expertise in generative AI –

  • Beginner Level:
    • Generative AI Concepts
    • Large Language Models (LLMs)
    • Responsible AI Principles
  • Intermediate Level:
    • Gemini for Google Cloud
    • Natural Language Chat Interface
    • Code Completion and Generation
    • Cloud Best Practices
  • Advanced Level:
    • Advanced Generative AI Techniques
    • App Development Tools
    • Machine Learning Engineering Tools
    • Data Science Tools

FAQs

  • Cohort 1 for GenAI Program which starts on 25th July 2024 will end on November 25th 2024.

  • Students or Professionals looking to build Generative AI skills.
  • Prerequisite - A basic understanding of IT principles and an interest in learning more about GenAI.

  • You have already signed up on FutureSkills Prime portal.
  • You have filled the enrollment form mentioned above before the last date of enrollment.
  • You enter correct Google Cloud Skills Boost email address & Public profile URL as asked in the enrollment form

  • You need to have access to a working internet connection & a laptop with the latest chrome browser.

  • Yes, you will need to create a Google Cloud Skills Boost account if you don’t have one already. Creating an account is always free of charge. If you already have an account,simply log in.

There are 2 ways you can go about it –

  • Recover your credentials through forgot password mentioned on the FutureSkills Prime sign-up page.
  • Create a new account on FutureSkills Prime portal & refill the enrollment form mentioned on the landing page again before the last date of enrollment to be eligible for accessing this Course.

  • We are sorry that you were not able to apply for the Course this time or were not eligible for the Course. We will soon start our next cohort and FutureSkills Prime will keep you updated by email for the next enrollment batch start date.

  • Yes, once the user has completed all the 3 learning paths then he/she can receive the Course completion Certificate on their email and digital badges from Google on their Google Cloud Skills Boost profile.

  • Your Course is counted as completed when you earn the 3 learning paths badges associated with it. The Course badge looks like the one mentioned above in the landing page.

  • Once you complete the 3 learning paths & your performance is evaluated, you will get the Certificate on your registered email address within 10 working days after the 25th of every month.

  • Please reach out to support@futureskillsprime.in for any certification.

  • Let us know! You can email us directly at support@qwiklabs.com or Click on the Help icon on the right-hand side title bar of the Google Cloud Skills Boost page and click on the Email Support option to connect with us. [NOTE: Don’t forget to add EDU NASSCOM HELP in the subject line of the email]
  • For Chat support: You can click on the help icon and select Chat support [Note: Don't forget to select - Google Cloud EDU Program department before reaching out to the support team via Chat]

  • When you make your profile public, you can share your achievements with your social network. This profile includes your first name and the first initial of your last name, number of labs taken, number of quests completed, your badges, and your photo (if you have a photo associated with your Google account).
  • To make your profile public, simply: ly/ql-public
  • Open a new internet browser.
  • Although all popular browsers are supported, for the best user experience it is highly recommended to use the latest version of Chrome OS. Please check your device here for compatibility.
  • Open Google Cloud Skills Boost account
  • Click on Profile tab on the home page.
  • Under your name, click on Make badge profile public and you will get a shareable link.
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