Este curso intensivo sob demanda apresenta os serviços abrangentes e flexíveis de infraestrutura e plataforma fornecidos pelo Google Cloud Platform. Por meio de videoaulas, demonstrações e laboratórios práticos, os participantes poderão analisar e implantar elementos da solução, inclusive componentes de infraestrutura, como redes, sistemas e serviços de aplicativos. Este curso também engloba a implantação de soluções práticas, como a interconexão segura de redes, chaves de criptografia fornecidas pelo cliente, gerenciamento de segurança e acesso, cotas e faturamento, além do monitoramento de recursos. Pré-requisitos: Para aproveitar ao máximo este curso, os participantes devem cumprir os seguintes requisitos: • Conclusão do Google Cloud Platform Fundamentals (Core Infrastructure ou AWS Professionals) ou ter experiência equivalente • Conclusão do Essential Cloud Infrastructure: Foundation ou ter experiência equivalente • Proficiência básica em ferramentas de linha de comando e ambientes de sistema operacional Linux • Experiência em operações de sistemas, incluindo implantação e gerenciamento de aplicativos, no local ou em um ambiente de nuvem pública >>> Ao se inscrever neste curso, você concorda com os Termos de Serviço do Qwiklabs conforme estabelecido na seção de perguntas frequentes, no site: https://qwiklabs.com/terms_of_service <<<

This introduction to cloud computing on Amazon AWS course takes you from the AWS basics to being a competent AWS cloud practitioner. You'll learn general cloud computing concepts and AWS from fundamentals right through to advanced concepts. You'll also build hands-on skills using many of the core Amazon Web Services (AWS) services. Ideal for beginners - absolutely no cloud computing experience is required! We use a highly visual and effective method of teaching cloud computing and AWS concepts using diagrams and animations (no bullet-point slides!). There are lots of hands-on exercises using an Amazon Web Services (AWS) free tier account to give you practical experience. If you're interested in moving into a high-paying career working with cloud computing services - this is the best way to get started. You'll build knowledge from beginner level to advanced concepts, with plenty of opportunities to practice what you're learning. Here's a snapshot of some of the awesome skills you'll learn using this course: Learn fundamental concepts of cloud computing and including storage, database, networking, virtualization, containers, and cloud architecture Create an AWS Free Tier account and launch your first virtual servers (Amazon EC2 instances) on the AWS Cloud Configure elasticity, high availability and fault tolerance using Amazon EC2 Auto Scaling and Amazon Elastic Load Balancing Create and configure storage services and upload files and objects using Amazon EBS, Amazon EFS and Amazon S3 Launch a relational database on Amazon RDS and a NoSQL database using Amazon DynamoDB Automatically deploy infrastructure using code through AWS CloudFormation Create a Platform as a Service (PaaS) application on AWS Elastic Beanstalk Learn how to use DevOps tools on AWS to automate a continuous integration and continuous delivery (CI/CD) pipeline Implement serverless computing and Docker containers on AWS using AWS Lambda and Amazon ECS Create serverless event-driven architectures on Lambda Create loosely coupled services with Amazon SQS and Amazon SNS This is a great way to get started with cloud computing and also a great starting point for those planning to earn their AWS Certified Cloud Practitioner or AWS Certified Solutions Architect certifications (you will need additional courses aimed at those AWS certifications). In this ultimate guide to cloud computing on AWS the topics you'll learn include : Section 2 - The Building Blocks of Cloud Computing Gain an understanding of the fundamental systems on which the cloud is based, including: Computer architecture Client / server computing Storage concepts: block, file, and object IP addressing and subnetting basics Networking: routers and switches Databases Server virtualization Docker containers Application programming interfaces (APIs) Section 3 - Introduction to Cloud Computing Learn about the key cloud computing concepts: Legacy / traditional IT vs cloud computing The advantages of cloud computing services Cloud computing examples Cloud computing service models (IaaS, PaaS, SaaS) Cloud computing deployment models (private cloud, public cloud, hybrid cloud, multicloud) Section 4 - Demystifying Cloud Computing Architecture Complex cloud computing architecture concepts are made easy for you to understand: Stateful vs stateless services Scaling up vs scaling out Load balancing High availability and Fault tolerance Loose coupling Monolithic vs microservices architectures Event-driven architectures Section 5 - AWS Basics In this section you'll learn the basics of Amazon Web Services (AWS) and setup your free tier account: AWS Global Infrastructure AWS Pricing Setting up a free tier account AWS Identity and Access Management (IAM) Cloud networking - Amazon Virtual Private Cloud (VPC) Cloud computing security - security groups and network ACLs AWS Public and Private services Section 6 - Amazon Elastic Compute Cloud (EC2) Learn how to use Amazon AWS's IaaS platform and launch virtual servers on Amazon EC2: Launching Amazon EC2 instances Create a website on Amazon EC2 Using IAM Roles with EC2 Scaling with Amazon EC2 Auto Scaling Add high availability with Amazon Elastic Load Balancing Section 7 - AWS Storage Services Use block, file, and object storage on AWS: Amazon Elastic Block Store (EBS) Amazon Elastic File System (EFS) Amazon Simple Storage Service (S3) Section 8 - AWS Databases Use managed database services in the AWS Cloud: Amazon Relational Database Service (RDS) Amazon DynamoDB Section 9 - Automation on AWS Learn how to automate deployment and management on AWS: Deploy infrastructure as code using AWS CloudFormation Deploy a Platform as a Service (PaaS) application using AWS Elastic Beanstalk Section 10 - DevOps on AWS - Creating a Code Pipeline Build a continuous integration and continuous delivery pipeline Use AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, AWS CodePipeline and AWS CodeStar Section 11 - Content Delivery and DNS Services Use Amazon Route 53 for DNS resolution and domain registration Use the Amazon CloudFront content delivery network (CDN) Section 12 - Containers and Serverless Computing You'll learn about Docker containers and serverless computing: Using AWS Lambda functions Microservices (Docker Containers) on Amazon Elastic Container Service (ECS) Section 13 - Application Integration and Loose Coupling Implement loose coupling best practices with AWS services: Amazon Simple Notification Service (SNS) Amazon Simple Queue Service (SQS) Section 14 - Get certified on AWS Learn how to take the next step in your career with an AWS Certification such as the AWS Certified Cloud Practitioner or AWS Certified Solutions Architect Associate. WHAT DO OTHER STUDENTS SAY? Check out the excellent course reviews from our happy students: "Great experience, clearly presented and lots of hands on practice demos" "Awesome, the flow of the session is very good; the trainer started from basics and then gradually moved to advance topics. Highly recommended" "I am a second-year CS student at one of the best unis in the UK. This lecturer explained my whole network module in literally 20 mins and I understood more than in my uni lectures. lol" MEET YOUR INSTRUCTOR Hi, my name is Neal Davis - I'll be your instructor for this course. Cloud Computing is my Passion - which is why I founded Digital Cloud Training - offering AWS training resources that represent a higher quality standard than is otherwise available in the market. I created this beginner's course to help you understand core cloud computing concepts & the basics of AWS. I enjoy teaching on Udemy as it allows me to leverage my knowledge and hands-on experience that I have built over the last 20 years…Yes, I've been working in the Cloud space since its very inception! OUR SUCCESS IN NUMBERS Over 500,000 students enrolled in our AWS courses 4.7 Star instructor ratings from over 50,000 reviews Our students pass the AWS exam with an average score of over 85% Money-back guarantee We are totally confident in the value of this course which comes with a 30-day unconditional money-back guarantee. Get lifetime access now - risk-free!

With technological advancements, cloud computing is becoming standard and mainstream in IT world. Companies of all sizes are looking to transform existing traditional IT services to "Cloud". The market for Cloud Computing services is exploding and the demand for developers with Cloud Computing skills continues to grow. This course helps you to understand the much needed concepts of the Cloud Computing. We have clearly explained how Traditional IT environment works and how Cloud Computing differs from it. You will understand the various models of Cloud Computing, the leading Cloud Computing platforms, comparisons between the platforms. We have also dedicated a chapter with information on various certification paths and learning resources for Cloud Computing. As a bonus we have explained various considerations that needs to be taken into account before or while moving to a Cloud platform. Updated the learning paths section with latest certification information for AWS, Azure and Google Cloud. Added a new chapter with topics like Heroku, OpenShift and Cloud Native Development.

Salesforce Commerce Cloud, formerly called Demandware, is a cloud-based service for unifying the way businesses engage with customers over any channel or device. Now a days E-Commerce is growing rapidly. Every merchant or seller wants to do online selling. Salesforce Commerce Cloud is a platform where a large E-Commerce business can be handled very easily. All the cloud services make this very easy for Merchants as well as for Customers. Create Multi regional Online Stores , Easy Product selling , Best order management & customer handling. This Course is dedicated to : - Spread Knowledge of this Cloud base Salesforce product. - Easy tutorials for Merchants so that they can handle Business Manager/ Admin very easily. - Tutorials for beginers as well as Advance developers. - Coding Standards for Backend as well as frontend developers. - Solutions to common issues in Sales force commerce cloud development. Lets spread the knowledge of Salesforce Commerce Cloud . Topics covered in the sessions are as following : Introduction to Salesforce Commerce Cloud Understand Business Manager Connect Salesforce Commerce Cloud Using UXStudio & Eclipse Catalog & Products Campaigns & Promotions Customers Groups Cartridge or File Structure of Salesforce Commerce Cloud Concept of Pipelines At the End of course you will be able to start Administration & Development in Salesforce Commerce Cloud.

Cloud Computing has really changed the way companies looking into their digital Infrastructure now a days. Cloud computing with its unique paradigms brings in new opportunities and challenges for developers and administrators worldwide. With our unique curriculum we have tried to create the content which will bring beginners up to speed with Cloud technologies. The Course will start with basic introduction to cloud concepts like SAAS, PAAS and IAAS. You will also learn how Linux systems is changing the Infrastructure landscape worldwide. You will then learn to use popular cloud technologies like Google Compute Engine , Amazon AWS and Redhat open shift. The last unit covers Virtualization Technologies to provide you a holistic understanding of cloud computing environment. This course is surely the fastest and smartest way to get started with Cloud computing technologies.

This course provides a holistic experience of optimally configuring SAP on Google Cloud. Participants will learn to configure SAP on Google Cloud, and what best practices are, leaving the course with actionable experience to configure SAP on Google Cloud and run SAP workloads on Google Cloud. >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

This course introduces participants to the strategies to migrate from a source environment to Google Cloud. Participants are introduced to Google Cloud's fundamental concepts and more in depth topics, like creating virtual machines, configuring networks and managing access and identities. The course then covers the installation and migration process of Migrate for Compute Engine, including special features like test clones and wave migrations.

This course provides an introduction to data center networking technologies, more specifically software-defined networking. It covers the history behind SDN, description of networks in data-centers, a concrete data-center network architecture (Microsoft VL2), and traffic engineering.

This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently. This course covers AWS services and frameworks including Amazon Rekognition, Amazon SageMaker, Amazon SageMaker GroundTruth, and Amazon SageMaker Neo, AWS Deep Learning AMIs via Amazon EC2, AWS Deep Learning Containers, and Apache MXNet on AWS. The course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes. Each week will focus on different aspects of computer vision with GluonCV. In week one, we will present some basic concepts in computer vision, discuss what tasks can be solved with GluonCV and go over the benefits of Apache MXNet. In the second week, we will focus on the AWS services most appropriate to your task. We will use services such as Amazon Rekognition and Amazon SageMaker. We’ll review the differences between AWS Deep Learning AMIs and Deep Learning containers. Finally, there are demonstrations on how to set up each of the services covered in this module. Week three will focus on setting up GluonCV and MXNet. We will look at using pre-trained models for classification, detection and segmentation. During week four and five, we will go over the fundamentals of Gluon, the easy-to-use high-level API for MXNet: understanding when to use different Gluon blocks, how to combine those blocks into complete models, constructing datasets, and writing a complete training loop. In the final week, there will be a final project where you will apply everything you’ve learned in the course so far: select the appropriate pre-trained GluonCV model, apply that model to your dataset and visualize the output of your GluonCV model.

The Developer for Microsoft Azure Nanodegree program prepares students with critical cloud computing skills in how to deploy, build, migrate, and monitor applications on Azure.