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    • Generative Ai

    Generative AI Courses Online

    Explore generative AI for creating new content. Learn about GANs, creative applications, and AI-generated media.

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    Explore the GenAI Course Catalog

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      Google Cloud

      Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Deutsch

      Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Security, Generative AI, Information Systems Security, Security Controls, Google Cloud Platform, Artificial Intelligence, Machine Learning, Safety and Security

      Intermediate · Course · 1 - 3 Months

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      Google Cloud

      Gemini for DevOps Engineers - Português Brasileiro

      Skills you'll gain: Kubernetes, Google Cloud Platform, DevOps, Infrastructure as Code (IaC), Development Environment, Containerization, Continuous Delivery, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Polski

      Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Google Cloud Platform, Machine Learning, Tensorflow

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
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      Google Cloud

      Geliştiriciler İçin Sorumlu Yapay Zeka: Gizlilik ve Güvenlik

      Skills you'll gain: Cloud Security, Generative AI, Information Privacy, Data Security, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Open Source Technology, Safety and Security

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
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      Google Cloud

      Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      在 Google Cloud 整合應用程式與 Gemini 1.0 Pro

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Applied Machine Learning, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Data Integrity

      Intermediate · Course · 1 - 4 Weeks

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      Google Cloud

      Work with Gemini Models in BigQuery - Deutsch

      Skills you'll gain: Generative AI, Google Cloud Platform, Applied Machine Learning, SQL, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Predictive Modeling, Customer Relationship Management

      Intermediate · Course · 1 - 4 Weeks

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      Google Cloud

      AI 时代安全性简介

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - Français

      Skills you'll gain: Data Ethics, Data Analysis, Artificial Intelligence, Software Visualization, Testability, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

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      Google Cloud

      BigQuery로 임베딩, 벡터 검색, RAG 만들기

      Skills you'll gain:

      Advanced · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular generative ai courses

    • Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Deutsch: Google Cloud
    • Gemini for DevOps Engineers - Português Brasileiro : Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Polski: Google Cloud
    • Geliştiriciler İçin Sorumlu Yapay Zeka: Gizlilik ve Güvenlik: Google Cloud
    • Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合: Google Cloud
    • 在 Google Cloud 整合應用程式與 Gemini 1.0 Pro: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
    • Work with Gemini Models in BigQuery - Deutsch: Google Cloud
    • AI 时代安全性简介: Google Cloud

    Frequently Asked Questions about Generative Ai

    Understanding why you want to learn generative AI, whether for research, creative projects, or enhancing AI skills, will guide your efforts. Regular practice with AI models and relevant data is essential. Join AI communities like GitHub or Reddit’s r/MachineLearning for resources and support. Work on real projects like building generative models or experimenting with neural networks. Coursera’s Generative AI Fundamentals Specialization by IBM is an excellent series of courses to start with.‎

    Generative AI courses on Coursera provide learners with the skills to engage with one of the most innovative areas of artificial intelligence:

    • Understanding the principles behind generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
    • Techniques for creating synthetic data, artworks, and realistic simulations.
    • Application of generative AI in various domains such as music, video, and text.
    • Programming skills to develop generative models using TensorFlow and PyTorch.
    • Ethical considerations in deploying generative AI technologies.
    • Best practices for training and optimizing generative models to ensure quality and efficiency.‎

    Generative AI courses on Coursera are structured to accommodate learners with different levels of expertise:

    • Beginners can start with introductory courses that cover basic AI concepts and foundational machine learning knowledge.
    • Intermediate learners can improve their understanding of deep learning and start working with generative models.
    • Advanced participants can explore cutting-edge applications and techniques in generative AI.‎

    Upon completing Generative AI courses on Coursera, learners can obtain credentials that may assist in their professional and academic pursuits:

    • Professional certificates that signify a foundational understanding and practical skills in generative AI.
    • Specializations that focus on specific aspects of generative AI, such as neural networks or creative applications.
    • Certificates that can be showcased to employers and academic institutions as evidence of specialized knowledge in a rapidly advancing field.‎

    Skills in Generative AI open the door to a range of cutting-edge career opportunities:

    • AI Research Scientist, developing new methods and technologies in generative AI.
    • Creative Technologist, integrating AI into digital art, marketing, and entertainment.
    • Machine Learning Engineer, specializing in building and training generative models.
    • Product Developer, using generative AI to innovate product designs and features.
    • Data Scientist, employing generative models for data augmentation and complex analyses.‎

    Yes, Coursera offers a variety of free courses across many topics, including generative AI. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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