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      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia

      Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Predictive Modeling, Continuous Monitoring, Data Ethics, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

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      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Google Cloud Platform, Applied Machine Learning, Machine Learning, Data Quality

      Intermediate · Course · 1 - 4 Weeks

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      Modernisasi Situs dengan AI Generatif di Google Cloud

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      Pengantar Analisis Data di Google Cloud

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      Responsible AI for Developers: Interpretability & Transparency - 日本語版

      Skills you'll gain: Data Ethics, Artificial Intelligence, Software Visualization, Data Integrity, Data Governance, Data Quality, Applied Machine Learning, Machine Learning, Technical Documentation

      Intermediate · Course · 1 - 4 Weeks

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      MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Predictive Modeling, Machine Learning, Continuous Monitoring, Performance Tuning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

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      Gemini for DevOps Engineers - Português Brasileiro

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

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      Networking in Google Cloud: Load Balancing - 日本語版

      Skills you'll gain: Load Balancing, Hybrid Cloud Computing, Google Cloud Platform, Network Performance Management, Cloud Security, Network Routing, Performance Tuning, Distributed Denial-Of-Service (DDoS) Attacks

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      AI 보안 소개

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      Vector Search and Embeddings - Français

      Skills you'll gain: Large Language Modeling, Google Cloud Platform, Natural Language Processing, Text Mining, Applied Machine Learning

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      使用 Vertex AI 和 Flutter 构建生成式 AI 智能体

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      Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery

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    In summary, here are 10 of our most popular android software development courses

    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
    • Modernisasi Situs dengan AI Generatif di Google Cloud: Google Cloud
    • Pengantar Analisis Data di Google Cloud: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
    • MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
    • Gemini for DevOps Engineers - Português Brasileiro : Google Cloud
    • Networking in Google Cloud: Load Balancing - 日本語版: Google Cloud
    • AI 보안 소개: Google Cloud
    • Vector Search and Embeddings - Français: Google Cloud

    Skills you can learn in Mobile And Web Development

    Web (13)
    Mobile App (9)
    Javascript (8)
    Mobile Application Development (8)
    Web Development (8)
    Android Software Development (7)
    CSS (6)
    Programming Language (6)
    Web Application (6)
    Android Studio (5)
    Angularjs (5)
    Computer Program (5)

    Frequently Asked Questions about Android Software Development

    Android Software Development refers to the process of creating applications specifically for the Android operating system. It involves designing, coding, testing, and deploying software applications that run on Android devices. Android Software Development utilizes programming languages, development tools, and frameworks to create a wide range of applications, including games, productivity tools, social media apps, and more.‎

    To excel in Android Software Development, it's beneficial to develop the following skills:

    • Programming Languages: Proficiency in Java or Kotlin, the primary programming languages used for Android development, to write efficient and reliable code for Android applications.
    • Android SDK and Frameworks: Familiarity with the Android Software Development Kit (SDK) and popular frameworks like Android Jetpack, Retrofit, or Dagger to simplify development, enhance productivity, and access platform-specific features.
    • User Interface (UI) Design: Understanding of Android UI components, layouts, and styles to create visually appealing and intuitive interfaces for Android applications.
    • Application Architecture: Knowledge of architectural patterns such as Model-View-ViewModel (MVVM), Model-View-Presenter (MVP), or Clean Architecture to design scalable, maintainable, and testable Android applications.
    • Database Management: Proficiency in using SQLite or other database management systems to store and retrieve data within Android applications.
    • Networking and APIs: Ability to make HTTP requests, handle RESTful APIs, and integrate data from external sources into Android applications.
    • Debugging and Testing: Skills in debugging and troubleshooting Android applications, as well as knowledge of testing frameworks like Espresso or JUnit for unit testing and UI testing.
    • Version Control: Familiarity with version control systems like Git to manage source code, collaborate with other developers, and track changes in Android projects.
    • Performance Optimization: Understanding of performance optimization techniques, memory management, and battery efficiency to create high-performing Android applications.
    • Continuous Learning: Staying updated with the latest Android development trends, new libraries, and best practices to adapt to evolving technologies and user expectations.‎

    With Android Software Development skills, you can pursue various job opportunities, including:

    • Android Developer
    • Mobile App Developer
    • Software Engineer (Android)
    • Android Architect
    • Android Framework Developer
    • Android UI/UX Designer
    • Mobile Application Tester
    • Freelance Android Developer
    • Android Technical Lead
    • Startup App Developer

    These roles involve developing, maintaining, and enhancing Android applications, collaborating with cross-functional teams, and ensuring the quality and performance of the software.‎

    Android Software Development is well-suited for individuals who possess the following qualities:

    • Problem-Solving Skills: The ability to analyze complex requirements, break them down into manageable tasks, and implement effective solutions.
    • Attention to Detail: A meticulous approach to coding, testing, and ensuring the accuracy and reliability of Android applications.
    • Curiosity and Continuous Learning: A passion for exploring new technologies, libraries, and best practices, and an eagerness to stay updated in the rapidly evolving field of Android development.
    • Collaboration and Communication: The capacity to work effectively in teams, communicate ideas and challenges clearly, and collaborate with designers, testers, and other stakeholders.
    • Adaptability: Willingness to adapt to changing project requirements, Android platform updates, and emerging development trends.
    • Creativity: An inclination to think creatively, propose innovative solutions, and explore new possibilities within the Android development ecosystem.
    • Self-Motivation: The ability to work independently, set goals, and stay motivated to deliver high-quality Android applications.
    • Analytical Thinking: Aptitude for analyzing user needs, understanding user interfaces, and translating requirements into functional Android features.‎

    Several topics are related to Android Software Development that can further enhance your skills and knowledge. Some of these topics include:

    • Android UI/UX Design
    • Android Architecture Components
    • Background Processing and Multithreading in Android
    • Data Persistence in Android (SQLite, Room, etc.)
    • Networking and API Integration
    • Security and Permissions in Android Applications
    • Location and Maps Integration
    • Push Notifications and Cloud Messaging
    • Android Performance Optimization Techniques
    • Android Testing and Debugging Practices

    Exploring these topics will provide a comprehensive understanding of Android Software Development, enabling you to create robust, efficient, and user-friendly applications for the Android platform.‎

    Online Android Software Development courses offer a convenient and flexible way to enhance your knowledge or learn new Android Software Development skills. Choose from a wide range of Android Software Development courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Android Software Development, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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