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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

    • Status: New
      New
      G

      Google Cloud

      Pengantar Keamanan di Dunia AI

      Skills you'll gain: Threat Modeling, Threat Management, Security Strategy, Data Security, Personally Identifiable Information, Security Controls, Infrastructure Security, Security Engineering, Artificial Intelligence, Cyber Risk, Risk Management Framework

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for DevOps Engineers - Português Brasileiro

      Skills you'll gain: Kubernetes, Google Cloud Platform, DevOps, Generative AI Agents, Cloud Management, Development Environment, Cloud Infrastructure

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Cloud Architects - Bahasa Indonesia

      Skills you'll gain: Kubernetes, Google Cloud Platform, Generative AI, Infrastructure as Code (IaC), Cloud-Native Computing, Cloud Infrastructure, DevOps, Cloud Computing Architecture, Prompt Engineering, Shell Script

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 한국어

      Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Generative AI, Data Visualization Software, Google Cloud Platform, Data Cleansing, Data Transformation, Debugging, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Security Engineers - 日本語版

      Skills you'll gain: Cloud Security, Generative AI, Security Controls, Google Cloud Platform, Security Testing, Application Deployment, Security Engineering, System Configuration

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Application Developers - Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Cloud Applications, Cloud Development, Generative AI, Application Development, Software Architecture, Information Architecture, Software Development Tools, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for DevOps Engineers - 日本語版

      Skills you'll gain: DevOps, CI/CD, Application Performance Management, Google Cloud Platform, Kubernetes, Infrastructure as Code (IaC), Generative AI

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for end-to-end SDLC - 한국어

      Skills you'll gain: Software Development Life Cycle, Google Cloud Platform, Development Testing, Application Lifecycle Management, Web Applications, CI/CD, Application Development, Cloud Development, Software Development, Test Case, Generative AI, Query Languages, Debugging, Data Access

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - 日本語版

      Skills you'll gain: Network Planning And Design, Google Cloud Platform, Virtual Private Networks (VPN), Network Architecture, Generative AI, Prompt Engineering, Cloud Engineering, Network Engineering, Network Administration

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Gmail - Português Brasileiro

      Skills you'll gain: Gmail, Google Workspace, Generative AI, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 简体中文

      Skills you'll gain: Data Pipelines, Exploratory Data Analysis, Google Cloud Platform, Data Cleansing, Interactive Data Visualization, Data Transformation, Data Analysis, Generative AI, SQL

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for DevOps Engineers - Bahasa Indonesia

      Skills you'll gain: Kubernetes, DevOps, Google Cloud Platform, Infrastructure as Code (IaC), Devops Tools, Continuous Delivery, Development Environment, Event Monitoring

      Beginner · Course · 1 - 4 Weeks

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

    • Pengantar Keamanan di Dunia AI: Google Cloud
    • Gemini for DevOps Engineers - Português Brasileiro : Google Cloud
    • Gemini for Cloud Architects - Bahasa Indonesia: Google Cloud
    • Boost Productivity with Gemini in BigQuery - 한국어: Google Cloud
    • Gemini for Security Engineers - 日本語版: Google Cloud
    • Gemini for Application Developers - Português Brasileiro: Google Cloud
    • Gemini for DevOps Engineers - 日本語版: Google Cloud
    • Gemini for end-to-end SDLC - 한국어: Google Cloud
    • Gemini for Network Engineers - 日本語版: Google Cloud
    • Gemini in Gmail - Português Brasileiro: 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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