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Introduction to Gen AI Studio with Google Cloud

Google Cloud Training

Learn how to take advantage of Google Cloud and Vertex AI's Generative AI Studio to prototype and customize generative AI models for your applications with Udacity.

What's inside

Syllabus

This course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your applications.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Exposes practitioners to generative AI models and applications, making them more effective in their work
Highly relevant to those working in data science, machine learning, and related fields
Taught by Google Cloud Training, who are recognized for their work in generative AI
Provides hands-on labs and interactive materials for practical experience
Part of a larger series of courses, indicating comprehensiveness
May require learners to come in with some background knowledge or experience in AI

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Activities

Coming soon We're preparing activities for Introduction to Gen AI Studio with Google Cloud. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Introduction to Gen AI Studio with Google Cloud will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist is responsible for collecting, organizing, and analyzing complex data to find meaningful patterns and trends. They build AI models to solve important business problems and stay up-to-date on the latest developments in AI.
Machine Learning Engineer
A Machine Learning Engineer is responsible for building and deploying machine learning models that are customized to specific business needs. The course will introduce you to Generative AI Studio, a product on Vertex AI, that will help you prototype and customize generative AI models that can be used to enhance your machine learning capabilities.
AI Engineer
An AI Engineer is responsible for designing, developing, and implementing AI systems. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your AI systems.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to derive meaningful insights. The course will introduce you to Generative AI Studio, a product on Vertex AI, that will help you create generative AI models that will help you analyze data.
Product Manager
A Product Manager is responsible for overseeing the development of a product from conception to launch. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to enhance your product.
Software Engineer
A Software Engineer is responsible for designing, developing, and testing computer programs. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to increase your productivity as a software engineer.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to analyze business data and make better decisions.
Quantitative Analyst
A Quantitative Analyst is responsible for using mathematical and statistical models to analyze financial data. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to enhance your financial analysis.
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical and analytical techniques to solve complex business problems. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to solve complex business problems.
Market Researcher
A Market Researcher is responsible for collecting and analyzing data about consumer behavior. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to collect and analyze consumer data.
User Experience Researcher
A User Experience Researcher is responsible for studying user behavior and providing insights on how to improve the user experience. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to analyze user behavior and provide insights on how to improve the user experience.
Data Engineer
A Data Engineer is responsible for designing and building data pipelines and infrastructure. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to create and manage data pipelines and infrastructure.
Web Developer
A Web Developer is responsible for designing and developing websites. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to create and enhance websites.
Mobile Developer
A Mobile Developer is responsible for designing and developing mobile applications. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to create and enhance mobile applications.
Game Developer
A Game Developer is responsible for designing and developing video games. The course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models that can be used to create and enhance video games.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Gen AI Studio with Google Cloud.
Provides a hands-on guide to deep learning, covering the fundamentals of neural networks, convolutional neural networks, recurrent neural networks, and more. It valuable resource for anyone who wants to build and train their own generative AI models.
Provides a comprehensive overview of natural language processing, covering topics such as tokenization, stemming, lemmatization, parsing, and machine translation. It valuable resource for anyone who wants to develop generative AI models for natural language applications.
Provides a hands-on introduction to deep learning using the Fastai and PyTorch libraries. It valuable resource for anyone who wants to learn how to build and train their own deep learning models.
Provides an overview of artificial intelligence techniques for generative AI.
Provides a hands-on introduction to machine learning using the Scikit-Learn, Keras, and TensorFlow libraries. It valuable resource for anyone who wants to learn how to build and train their own machine learning models.
Provides a gentle introduction to machine learning for beginners. It covers the basics of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.

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