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Ce cours présente Generative AI Studio. Ce produit disponible sur Vertex AI vous aide à prototyper et à personnaliser des modèles d'IA générative afin de pouvoir exploiter leurs capacités dans vos applications. Vous allez découvrir ce qu'est Generative AI Studio, quelles sont ses fonctionnalités et options, et comment l'utiliser à travers des démonstrations. À la fin du cours, vous pourrez suivre un atelier afin de mettre en pratique ce que vous avez appris et répondre à un quiz pour tester vos connaissances.

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Syllabus

Introduction à Generative AI Studio
Ce cours présente Generative AI Studio. Ce produit disponible sur Vertex AI vous aide à prototyper et à personnaliser des modèles d'IA générative afin de pouvoir exploiter leurs capacités dans vos applications. Vous allez découvrir ce qu'est Generative AI Studio, quelles sont ses fonctionnalités et options, et comment l'utiliser à travers des démonstrations. À la fin du cours, vous pourrez suivre un atelier afin de mettre en pratique ce que vous avez appris et répondre à un quiz pour tester vos connaissances.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Prior experience with Generative AI is not needed
Taught by Google Cloud Training, one of the leading providers of cloud training and certification
Familiarizes learners with Vertex AI, a leading platform for managed machine learning
Focuses on practical application of Generative AI Studio through hands-on workshops
Provides opportunities to explore the latest advancements in Generative AI

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Generative AI Studio - Français with these activities:
Review Python Programming Basics
Refreshing your Python programming skills will help you to be more effective when using Generative AI Studio.
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  • Review the basics of Python syntax
  • Practice writing Python code
  • Complete some Python programming exercises
  • Take a Python programming quiz
Follow Generative AI Studio Tutorials
Following tutorials will help you learn how to use Generative AI Studio to create and deploy generative AI models.
Browse courses on Generative AI Studio
Show steps
  • Find Generative AI Studio tutorials
  • Follow the tutorials step-by-step
  • Complete any exercises or assignments
  • Experiment with different techniques and settings
Join a Generative AI Study Group
Joining a study group will allow you to learn from and collaborate with other students, and get help with any challenges you encounter.
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  • Find a study group or create your own
  • Meet regularly to discuss the course material
  • Work together on projects and assignments
  • Provide support and encouragement to each other
Four other activities
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Attend a Generative AI Studio Workshop
Participating in a workshop will allow you to learn more about Generative AI Studio and its features, and how to use it to create and deploy generative AI models.
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  • Complete any exercises or assignments
  • Register for a Generative AI Studio workshop
  • Attend the workshop and take notes
  • Ask questions and participate in discussions
Experiment with Generative AI Studio
Experimenting with Generative AI Studio will help you gain a better understanding of its capabilities and how to use it effectively.
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  • Create a Generative AI Studio account
  • Create a new project
  • Upload a dataset
  • Train a generative AI model
  • Deploy the model and test it
Write a Blog Post About Generative AI Studio
Writing a blog post will help you to solidify your understanding of Generative AI Studio and its features, and share your knowledge with others.
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Show steps
  • Choose a topic for your blog post
  • Research the topic and gather information
  • Write your blog post
  • Edit and proofread your blog post
  • Publish your blog post
Build a Generative AI Project
Building a generative AI project will allow you to apply your skills and knowledge to a real-world problem.
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Show steps
  • Define a problem that can be solved with generative AI
  • Gather data and prepare it for training
  • Train a generative AI model
  • Deploy the model and test it
  • Evaluate the results and make improvements

Career center

Learners who complete Introduction to Generative AI Studio - Français will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists work to build and evaluate machine learning models, often in service of other departments. A good understanding of machine learning is vital to their work, which is why a course like Introduction to Generative AI Studio - Français is an excellent place for them to build their foundational knowledge of generative AI and further their expertise, especially if their work focuses on generating unique data for a particular use case.
Machine Learning Engineer
Machine Learning Engineers work to build and evaluate machine learning models to perform a specific task. For instance, they might build models for image processing, natural language processing, or speech recognition. As this course covers the fundamentals of generative AI, Machine Learning Engineers may find it helpful for learning about an emerging advancement in their field. The workshop and quiz at the end of the course will provide hands-on opportunities to apply generative AI principles.
Software Engineer
Software Engineers are often tasked with building and maintaining the machine learning models that Data Scientists and Machine Learning Engineers design and evaluate. For that reason, a course like Introduction to Generative AI Studio - Français, which covers topics such as the history of AI, types of AI models, and the various ways to evaluate models, can be highly useful. By becoming familiar with the basics of generative AI, Software Engineers can be more effective in designing, building, and maintaining the models required for their line of work.
Data Analyst
Data Analysts prepare data for analysis, build visualizations, and generate reports to communicate their key findings. A course like Introduction to Generative AI Studio - Français is generally outside the scope of traditional Data Analyst work, but may be helpful for analysts that want to go into related areas of data science or machine learning. Additionally, some Data Analysts might find it useful to develop a basic understanding of generative AI, especially if their focus is on data mining and preparing large data sets.
Product Manager
Product Managers are responsible for managing the development and marketing of products, often in close collaboration with Data Scientists and Machine Learning Engineers. By taking a course like Introduction to Generative AI Studio - Français, Product Managers can learn about some of the latest advancements in AI technology, and how it might influence their work or industry. This knowledge will be particularly valuable for Product Managers working on AI related products or services.
Business Analyst
Business Analysts work to improve an organization's efficiency by identifying and analyzing their business processes. For some, a course like Introduction to Generative AI Studio - Français may be helpful for understanding how generative AI impacts various industries and for identifying opportunities to leverage AI for improvements. However, it is important to note that generative AI is generally outside the scope of traditional Business Analyst work.
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. While a course like Introduction to Generative AI Studio - Français is not directly related to the day-to-day responsibilities of a Marketing Manager, it provides a useful overview of what generative AI is and how it works. This knowledge may be helpful for Marketing Managers working on campaigns that are using or could use generative AI in some way.
Sales Manager
Sales Managers work to maintain and grow their team's sales by providing guidance and support. A course like Introduction to Generative AI Studio - Français is unlikely to be directly helpful to Sales Managers, as it focuses on the technical aspects of generative AI and is not relevant to their core responsibilities.
Financial Analyst
Financial Analysts study and evaluate financial information to make recommendations on investments and business decisions. While it is unlikely that a course like Introduction to Generative AI Studio - Français will be directly relevant to the day-to-day work of a Financial Analyst, some may find it helpful to build their knowledge of generative AI and its potential use cases.
Human Resources Manager
Human Resources Managers are responsible for all aspects of an organization's human resources, including hiring, training, and employee relations. A course like Introduction to Generative AI Studio - Français is unlikely to be directly helpful to Human Resources Managers as it focuses on the technical aspects of generative AI, which is generally outside the scope of their responsibilities.

Reading list

We've selected six 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 - Français.
Provides a comprehensive introduction to deep learning and neural networks. Useful for gaining a foundational understanding of the mathematical and computational principles behind generative AI models.
A practical guide to deep learning using Python. Offers hands-on tutorials and code examples that can be applied to generative AI model development.
The foundational text on generative adversarial networks (GANs). Provides a comprehensive overview of the theory and practice of GANs, including their applications in generative AI.
A comprehensive textbook that provides a broad overview of machine learning. Useful for learners who want to gain a foundational understanding of the field and its applications.
A comprehensive textbook that provides a deep dive into deep learning. Useful for learners who want to gain a thorough understanding of the algorithms and techniques used in generative AI models.

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