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Introduction to Generative AI Studio - Português Brasileiro
Google Cloud Training
Google Cloud Training
Neste curso, apresentamos o Generative AI Studio, um produto da Vertex AI que ajuda na prototipagem e personalização de modelos de IA generativa para usar os recursos deles nos seus aplicativos. Você vai aprender o que é o Generative AI Studio, conhecer as funcionalidades e opções disponíveis, além de descobrir como usar cada uma delas com as demonstrações do produto. No final do curso, você vai poder aplicar o que aprendeu e testar seus conhecimentos no laboratório prático e no teste que ficarão disponíveis.
Register for this course and see more details by visiting:
OpenCourser.com/course/77mbt0/introduction
What's inside
Syllabus
Introdução ao Generative AI Studio
Neste curso, apresentamos o Generative AI Studio, um produto da Vertex AI que ajuda na prototipagem e personalização de modelos de IA generativa para usar os recursos deles nos seus aplicativos. Você vai aprender o que é o Generative AI Studio, conhecer as funcionalidades e opções disponíveis, além de descobrir como usar cada uma delas com as demonstrações do produto. No final do curso, você vai poder aplicar o que aprendeu e testar seus conhecimentos no laboratório prático e no teste que ficarão disponíveis.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Serves as a useful, industry-specific tool
Covers a series of exhaustive and valuable topics
Provides an adequate grounding for beginners
May require that you have some pre-existing knowledge
Involves the use of an outdated software
Possibly not the best course for absolute beginners
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Activities
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Introduction to Generative AI Studio - Português Brasileiro.
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Career center
Learners who complete Introduction to Generative AI Studio - Português Brasileiro will develop knowledge and skills
that may be useful to these careers:
AI Researcher
AI Researcher
An AI Researcher conducts research and develops new AI algorithms and techniques. The Generative AI Studio course helps you learn how to use this AI platform to develop new AI models and applications. This course can be particularly useful for AI Researchers.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and builds machine learning models that can be used to solve real-world problems. The Generative AI Studio course helps you learn how to use this AI platform to prototype and personalize machine learning models. This course can be particularly useful for Machine Learning Engineers.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns to promote products and services. The Generative AI Studio course can help you learn how to use this AI platform to create more targeted and effective marketing content.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. The Generative AI Studio course can help you learn how to use this AI platform to analyze financial data more efficiently and make more informed investment decisions.
Project Manager
Project Manager
A Project Manager plans and executes projects to deliver results. The Generative AI Studio course can help you learn how to use this AI platform to manage projects more efficiently and effectively.
Sales Manager
Sales Manager
A Sales Manager leads and manages a team of sales professionals. The Generative AI Studio course can help you learn how to use this AI platform to understand customer needs and develop sales strategies that are more likely to close deals.
Product Manager
Product Manager
A Product Manager plans and develops new products and services. The Generative AI Studio course can help you learn how to use this AI platform to understand customer needs and develop products that meet those needs.
Risk Manager
Risk Manager
A Risk Manager identifies and manages risks to a business. The Generative AI Studio course can help you learn how to use this AI platform to assess risks and develop mitigation strategies.
Customer Service Manager
Customer Service Manager
A Customer Service Manager leads and manages a team of customer service representatives. The Generative AI Studio course can help you learn how to use this AI platform to improve customer service processes and resolve customer issues more efficiently.
Data Scientist
Data Scientist
A Data Scientist uses data to help businesses make better decisions and solve complex problems. The Generative AI Studio course helps you learn how to use this AI platform to find patterns in data and make accurate predictions. This course can be particularly useful for Data Scientists.
Human Resources Manager
Human Resources Manager
A Human Resources Manager leads and manages a team of human resources professionals. The Generative AI Studio course can help you learn how to use this AI platform to improve HR processes and optimize the employee experience.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. The Generative AI Studio course can help you learn how to use this AI platform to gain insights into business data and identify opportunities for optimization.
Operations Manager
Operations Manager
An Operations Manager plans and manages the day-to-day operations of a business. The Generative AI Studio course can help you learn how to use this AI platform to streamline operations and improve efficiency.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. The Generative AI Studio course can help you learn how to use this AI platform to analyze data more efficiently and effectively. This course may be useful for Data Analysts.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The Generative AI Studio course can help you build a foundation in using AI to develop more powerful and efficient software.
For more career information including salaries, visit:
OpenCourser.com/course/77mbt0/introduction
Reading list
We've selected 12 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 Generative AI Studio - Português Brasileiro.
Save
Comprehensive guide to deep learning, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of deep learning.
Provides a comprehensive introduction to computer vision, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of computer vision.
Provides a comprehensive introduction to speech and language processing, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of speech and language processing.
Provides a comprehensive introduction to reinforcement learning, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of reinforcement learning.
Provides a comprehensive introduction to statistical learning, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of statistical learning.
Provides a comprehensive introduction to pattern recognition and machine learning, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of pattern recognition and machine learning.
Provides a comprehensive introduction to machine learning from a probabilistic perspective, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of machine learning from a probabilistic perspective.
Provides a comprehensive introduction to Bayesian reasoning and machine learning, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of Bayesian reasoning and machine learning.
Provides a comprehensive introduction to information theory, inference, and learning algorithms, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of information theory, inference, and learning algorithms.
Provides a comprehensive introduction to probabilistic graphical models, covering the mathematical foundations, algorithms, and applications. It valuable resource for anyone who wants to learn more about the theoretical and practical aspects of probabilistic graphical models.
Provides a practical introduction to machine learning for hackers, covering the essential concepts, algorithms, and tools. It good resource for anyone who wants to learn more about the practical aspects of machine learning.
Provides a concise introduction to machine learning, covering the essential concepts and algorithms. It good resource for anyone who wants to get up to speed on machine learning quickly.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/77mbt0/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Transcript
Português
Good to know
Serves as a useful, industry-specific tool
Covers a series of exhaustive and valuable topics
Provides an adequate grounding for beginners
May require that you have some pre-existing knowledge
Involves the use of an outdated software
Possibly not the best course for absolute beginners
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