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    Results for "cloud computing"

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Algorithms, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      ConsenSys Academy

      Blockchain: Foundations and Use Cases

      Skills you'll gain: Blockchain, Cryptography, Interoperability, FinTech, Emerging Technologies, Ledgers (Accounting), Business Modeling, Distributed Computing, Digital Assets, Data Sharing, Data Integrity, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      842 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      FinTech Law and Policy

      Skills you'll gain: FinTech, Financial Regulation, Mobile Banking, Financial Services, Payment Systems, Financial Regulations, Commercial Lending, Financial Industry Regulatory Authorities, Bank Regulations, Banking, Banking Services, Consumer Lending, Regulatory Compliance, Blockchain, Law, Regulation, and Compliance, Payment Processing, Financial Data, Digital Assets

      4.8
      Rating, 4.8 out of 5 stars
      ·
      874 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Production Machine Learning Systems

      Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Networking in Google Cloud: Fundamentals

      Skills you'll gain: Network Monitoring, Google Cloud Platform, Virtual Private Networks (VPN), Computer Networking, Network Troubleshooting, Network Infrastructure, Network Architecture, Cloud Infrastructure, Virtual Machines, Network Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Instituto Tecnológico de Aeronáutica

      Introdução ao Controle de Sistemas

      Skills you'll gain: Control Systems, Process Control, Systems Design, Systems Engineering, Systems Analysis, Engineering Analysis, Mathematical Modeling, Applied Mathematics, Performance Testing, Differential Equations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Georgia Institute of Technology

      Cloud Systems Software

      Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Infrastructure, Distributed Computing, Virtualization, Data Store, Multi-Tenant Cloud Environments, Virtual Machines, Scalability, Apache Hadoop

      4.6
      Rating, 4.6 out of 5 stars
      ·
      312 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Artificial Intelligence: an Overview

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Intellectual Property, Ethical Standards And Conduct, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Artificial Intelligence, Reinforcement Learning, General Data Protection Regulation (GDPR), Dimensionality Reduction, Governance, Cloud Platforms, Deep Learning, Law, Regulation, and Compliance, Computer Science, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      623 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mastering Software Development in R

      Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Feature Engineering

      Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Kubernetes Engine: Workloads

      Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Application Deployment, Scalability, Load Balancing, Containerization, YAML, Data Storage, Cloud Security, General Networking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Artificial Intelligence, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      156 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    Searches related to cloud computing

    cloud computing basics (cloud 101)
    cloud computing basics
    cloud computing primer: software as a service (saas)
    cloud computing applications
    cloud computing and gcp fundamentals
    cloud computing concepts
    cloud computing foundations
    cloud computing applications, part 1: cloud systems and infrastructure
    1…505152…356

    In summary, here are 10 of our most popular cloud computing courses

    • Machine Learning Foundations for Product Managers: Duke University
    • Blockchain: Foundations and Use Cases: ConsenSys Academy
    • FinTech Law and Policy: Duke University
    • Production Machine Learning Systems: Google Cloud
    • Networking in Google Cloud: Fundamentals: Google Cloud
    • Introdução ao Controle de Sistemas: Instituto Tecnológico de Aeronáutica
    • Cloud Systems Software: Georgia Institute of Technology
    • Artificial Intelligence: an Overview: Politecnico di Milano
    • Mastering Software Development in R: Johns Hopkins University
    • Feature Engineering: Google Cloud

    Skills you can learn in Cloud Computing

    Google (31)
    Google Cloud Platform (30)
    Kubernetes (12)
    Application Programming Interfaces (10)
    Microservices (7)
    Internet Of Things (6)
    Cloud Computing Security (5)
    Linux (4)
    Statistical Classification (4)
    Web (4)
    Cybersecurity (3)
    Cryptography (3)

    Frequently Asked Questions about Cloud Computing

    Cloud computing courses on Coursera offer insights and practical skills essential for navigating today's cloud technologies:

    • Fundamental concepts of cloud computing, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
    • Techniques for designing, deploying, and managing cloud solutions using leading platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
    • Skills in cloud security, ensuring data protection and compliance with regulatory standards.
    • Understanding of cloud architecture and best practices for scalable, reliable, and secure cloud deployments.
    • Application of cloud services to enhance business processes through improved scalability and flexibility.
    • Knowledge of automated and virtualized environments that are foundational to cloud technology.
    • Insights into emerging cloud technologies and future trends in cloud computing.‎

    Cloud computing courses on Coursera are structured to accommodate learners at various levels of expertise:

    • Introductory courses are designed for beginners, providing an overview of cloud computing principles and foundational technologies.
    • Intermediate courses delve deeper into specific cloud platforms or services, suitable for learners with some background in IT or cloud basics.
    • Advanced courses cater to IT professionals seeking to specialize in complex cloud architectures or to obtain certifications in specific cloud technologies.‎

    Coursera collaborates with industry leaders to offer a variety of credentials in cloud computing:

    • Professional certificates that can help you demonstrate your cloud computing skills and knowledge.
    • Specialized course certificates that can help validate your proficiency in particular aspects of cloud technologies.
    • Degree programs and professional qualifications that can help prepare you for advanced roles in IT and cloud management. ‎

    Gaining skills in cloud computing through Coursera can help prepare you for numerous tech-focused roles:

    • Cloud Architect: Design and implement cloud solutions that meet specific business needs.
    • Cloud Engineer: Manage and support cloud infrastructure, focusing on systems administration and network operations.
    • DevOps Engineer: Facilitate the deployment and operation of applications in cloud environments.
    • Cloud Security Specialist: Focus on securing cloud services and infrastructure against cyber threats.
    • Cloud Consultant: Provide expertise to organizations transitioning to or optimizing cloud-based systems.‎
    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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