This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Mike Meyers and the Total Seminars Team , brings you this TOTAL: Cloud Computing / CompTIA Cloud+ Cert. (CV0-002) course with your instructor , Tom Carpenter. This is NOT a boring voice over PowerPoint course. Tom speaks to you and presents the material in an engaging interactive style that will keep you interested and make it easier to understand. Check out the free sample lectures and you will see the difference. Learn the basics of Cloud Computing and prepare for the CompTIA Cloud+ Certification. Cloud+ is part of the CompTIA Infrastructure Pathway. Cloud+ is an intermediate level Network Specialist certification. The median annual salary for a Cloud+ certified tech is $74,300 * and there are currently over 50,000 job postings * for techs with this certification in the US. Job Titles that this training prepares you for include: System's Administrator, Cloud Network Engineer, Cloud Network Administrator, Cloud Are you looking to learn more about the Cloud and what it can do for you or your company? Maybe you've heard this buzzword, but don't know what it means to take your business and network solutions into the cloud.  If you want to learn the basics of the Cloud on a pathway to AWS or Azure Certification this course will give you the foundational knowledge to begin your journey. WHAT'S INCLUDED? 10 hours of video PDFs that detail all the exam objectives covered in each episode (valuable studying tool) PDFs of the CompTIA Cloud+  exam objectives End-of-chapter quizzes to test your knowledge Q&A section where you have access to me and my team of teaching assistants to answer any questions you might have Bonus videos launched from time-to-time with updated information, exam tips, study tools, and more 30-day money-back guarantee Lifetime access Certificate of completion WHAT'S COVERED? Domain 1.0:  Configuration and Deployment 24% Domain 2.0:  Security 16% Domain 3.0:  Maintenance 18% Domain 4.0:  Management 20% Domain 5.0:  Troubleshooting 22% EXAM INFO: Exam code: CV0-002 Max. 90 questions (multiple choice and performance-based) Length of exam: 90 minutes Passing score: 750 (on a scale of 100-900) Exam cost: $329 Languages: English and Japanese Recommended experience: 2-3 years in system administration Retirement: Usually 3 years after launch Tom Carpenter is the Chief Technical Officer at CWNP (Certified Wireless Network Professionals). He's been in the IT industry for 25+ years, written over 20 books on IT subjects, and is also heavily involved in objectives development and exam creation in the certification industry.  Tom's teaching style is casual; he wants you to have fun while you learn practical applications of Cloud Computing. Join our class now and let us know how you plan to use the cloud in your personal or professional life! * Burning Glass Technologies. (2019). Labor Insights.

Understanding Your Google Cloud Platform (GCP) Costs is most suitable for those working in a technology or finance role who are responsible for managing GCP costs. You’ll learn how to set up a billing account, organize resources, and manage billing access permissions. In the hands-on labs, you'll learn how to view your invoice, track your GCP costs with Billing reports, analyze your billing data with BigQuery or Google Sheets, and create custom billing dashboards with Data Studio. Students enrolling in this course do not need any prior Google Cloud technical experience.

This course in an introduction to Microsoft Azure services. Students will gain familiarity with core Azure topics and practice implementation of infrastructure components.

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.