1593 Cloud courses

This course covers all the key concepts that will help you prepare for and pass the AWS Certified Cloud Practitioner certification exam for the latest CLF-C01. A practical-based course where you will gain practical knowledge about AWS Cloud through videos and demo sessions.

Duration 2 Days 12 CPD hours This course is intended for Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview Apply a tool set of questions, techniques and design considerations Define application requirements and express them objectively as KPIs, SLO's and SLI's Decompose application requirements to find the right microservice boundaries Leverage Google Cloud developer tools to set up modern, automated deployment pipelines Choose the appropriate Google Cloud Storage services based on application requirements Architect cloud and hybrid networks Implement reliable, scalable, resilient applications balancing key performance metrics with cost Choose the right Google Cloud deployment services for your applications Secure cloud applications, data and infrastructure Monitor service level objectives and costs using Stackdriver tools This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course. Defining the Service Describe users in terms of roles and personas. Write qualitative requirements with user stories. Write quantitative requirements using key performance indicators (KPIs). Evaluate KPIs using SLOs and SLIs. Determine the quality of application requirements using SMART criteria. Microservice Design and Architecture Decompose monolithic applications into microservices. Recognize appropriate microservice boundaries. Architect stateful and stateless services to optimize scalability and reliability. Implement services using 12-factor best practices. Build loosely coupled services by implementing a well-designed REST architecture. Design consistent, standard RESTful service APIs. DevOps Automation Automate service deployment using CI/CD pipelines. Leverage Cloud Source Repositories for source and version control. Automate builds with Cloud Build and build triggers. Manage container images with Google Container Registry. Create infrastructure with code using Deployment Manager and Terraform. Choosing Storage Solutions Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost. Store binary data with Cloud Storage. Store relational data using Cloud SQL and Spanner. Store NoSQL data using Firestore and Cloud Bigtable. Cache data for fast access using Memorystore. Build a data warehouse using BigQuery. Google Cloud and Hybrid Network Architecture Design VPC networks to optimize for cost, security, and performance. Configure global and regional load balancers to provide access to services. Leverage Cloud CDN to provide lower latency and decrease network egress. Evaluate network architecture using the Cloud Network Intelligence Center. Connect networks using peering and VPNs. Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect. Deploying Applications to Google Cloud Choose the appropriate Google Cloud deployment service for your applications. Configure scalable, resilient infrastructure using Instance Templates and Groups. Orchestrate microservice deployments using Kubernetes and GKE. Leverage App Engine for a completely automated platform as a service (PaaS). Create serverless applications using Cloud Functions. Designing Reliable Systems Design services to meet requirements for availability, durability, and scalability. Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures. Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns. Design resilient data storage with lazy deletion. Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis. Security Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits. Leverage Cloud Security Command Center to help identify vulnerabilities. Simplify cloud governance using organizational policies and folders. Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform. Manage the access and authorization of resources by machines and processes using service accounts. Secure networks with private IPs, firewalls, and Private Google Access. Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor. Maintenance and Monitoring Manage new service versions using rolling updates, blue/green deployments, and canary releases. Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data. Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards. Use Uptime Checks to determine service availability. Respond to service outages using Cloud Monitoring Alerts. Additional course details: Nexus Humans Architecting with Google Cloud: Design and Process training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Architecting with Google Cloud: Design and Process course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Advance your career in cloud computing with this carefully structured course on AWS CloudFormation. This course will equip you with all the necessary basic concepts such as writing CloudFormation templates, CloudFormation stacks, stack sets, nested stacks, puzzles, and much more.

Duration 2 Days 12 CPD hours This course is intended for Diese Zertifizierung richtet sich an Experten aus Geschäftsbetrieben aller Branchen, die mit der Cloud-Technologie arbeiten oder an dieser Technologie und ihrem Nutzen für Unternehmen interessiert sind: Alle Mitarbeiter von internen oder externen Service Providern, Ihre Kunden Manager, Auditoren Overview Die Zertifizierung EXIN Cloud Computing Foundation validiert das Wissen von Kandidaten in folgenden Bereichen: Cloud - Prinzipien Implementierung von Management des Cloud Computing Nutzung von Cloud Computing Sicherheit, Identität und Privatsphäre im Cloud Computing Bewertung des Cloud Computing Unter Cloud Computing versteht man die Implementierung und Nutzung der Cloud - Technologie um IT - Services bereitzustellen, die an einem andren Standort gehostet werden. Cloud-Prinzipien Das Cloud - Konzept Entwicklung des Cloud Computing Cloud - Architektur Vorteile und Beschr„nkungen des Cloud Computing Implementierung und Management des Cloud Computing Aufbau lokaler Cloud - Umgebungen Management - Prinzipien fr Cloud - Services Nutzung von Cloud Computing Zugriff auf die Cloud Untersttzung von Business - Prozessen durch Cloud Computing Cloud - Nutzung durch Service Provider Sicherheit, Identit„t und Privatsph„re im Cloud Computing Sicherheit im Cloud Computing Identit„ts- und Privatsph„renmanagement Bewertung des Cloud Computing Business Cas fr das Cloud Computing Bewertung von Cloud - Implementierungen

Accelerate Your Cloud Engineer Career: Fast-Track Program with Exams, TOTUM Card & 5-Year Support. Enrol Today! Study methodOnline Duration9 months · Self-paced Access to content5 years CertificationsCompTIA A+CompTIA Cloud+CompTIA Network+CompTIA Security+CompTIA IT Fundamentals CertificationMicrosoft Azure Data Fundamentals Certificates Official CompTIA Certification - Free Additional info Exam(s) / assessment(s) is included in price Tutor is available to students TOTUM card included in price Job guarantee programme is included in this course Overview Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy If you enjoy problem solving and have good analytical skills, this could be the career for you. Cloud Network Engineers implement, maintain, support, develop and sometimes design communications networks and can work as part of an Internal Support Team or for an outsourced IT Networking Consultancy. In bigger companies, you may look after one specific area of a network or if working for smaller businesses you could be expected to troubleshoot any IT related problem. Certifications CompTIA A+ CompTIA Cloud+ CompTIA Network+ CompTIA Security+ CompTIA IT Fundamentals Certification Awarded by CompTIA Microsoft Azure Data Fundamentals Awarded by Microsoft Description With a national shortage of Cloud Network Engineers, starting salaries of up to £25,000 per annum (average UK Salary £52,500) and amazing future employed and self-employed career prospects, take the next step today with our Fast Track Cloud Network Engineer Programme. What you can expect from our Fast Track Programme: World Class Education Energetic and unlimited 24/7 Student Support Real, tangible Career Outcomes 5 Years Career Support What our programme includes: Industry Recognised Qualifications CompTIA ITF+ (IT Fundamentals) CompTIA A+ CompTIA Network+ CompTIA Security+ CompTIA Cloud+ OR CompTIA Server+ OR CompTIA Linux+ Exams Includes all Exams and Unlimited Re-Sits 5 Years Career Support Guarantee As part of our unique Support Guarantee, our Career Support Team will assist you with: CV writing Expert careers advice Interview preparation Identifying and applying for the best opportunities in your area As a student in the Nuyew Tech Academy you will also be given exclusive access to our Career Skills Academy which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career. Who is this course for? This course is open to anyone interested in pursuing a Career in Cloud Network Engineering. Our Foundation Level provides the flexibility for us to accommodate students with any level of previous knowledge and experience. Requirements This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed. Career path Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (£18k-£24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary £52.5K). Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation. Certificates Official CompTIA Certification Hard copy certificate - Included We provide Official CompTIA Certificates for all courses included (ITF+, A+(2), Network+, Security+, Cloud+.

This course helps you to understand the concepts of the AWS Cloud and covers all the fundamental topics of AWS, such as core services, security essentials, architecting essentials, and pricing essentials.

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

This course focuses on the beginner-level concepts of cloud computing in two different arenas. The first part is to explore the world of database technologies or DBaaS (Database as a Service) and the second part revolves around IaaS (Infrastructure as a Service) model.

Description A private cloud involves a distinct and secure cloud-based environment where only the specified client can operate the system. With the knowledge of Private Cloud, you can able to work efficiently to deploy, use, and manage VMs, applications, and other IT resources on hardware to your organization. If you want to gain mastery over cloud computing, the course is for you. The course is divided into two parts that deals with the two certifications of MCSE: Exam 70-246 and Exam 70- 247. In the Exam 70-246, you will know the basics of the cloud, cloud services, monitoring and automating responses while in the Exam 70-247 part, you will learn how to work with the cloud. In short, at first, you will learn the basic cloud concept, then you will know how to use the cloud system. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Private Cloud with System Center 2012 R2 - Complete Video Training is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Private Cloud with System Center 2012 R2 - Complete Video Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. System Center 2012 What is System Center 2012 FREE 00:30:00 Introducing the Cloud Discussion of Cloud Computing 00:19:00 Important Requirements 00:07:00 Working with System Center and the Infrastructure 00:05:00 Maintaining the Cloud Health 00:05:00 How Components are Integrated 00:06:00 Are You in Compliance 00:05:00 Working with the Business Cloud Examining SC 2012 VMM 00:17:00 Working with VMs with the VMM 00:11:00 Creating Clouds for Business 00:16:00 Cloud Services Looking at Service Templates and VMM Profiles 00:22:00 Web Deploy Packages 00:08:00 Server App V Introduction 00:05:00 The Data of the N Tier Application 00:05:00 What's New with VMM R2 00:07:00 Monitoring Overview of Operations Manager 00:20:00 Customize the Monitoring Operations 00:09:00 Monitoring Application Performance 00:14:00 Advanced Monitoring 00:04:00 Using Operations Manager for Applications 00:04:00 Using Operations Manager for the Network 00:11:00 Using Operations Manager for Distributed Applications 00:07:00 What's New in Operations Manager 2012 R2 00:09:00 Automating Responses Looking at Orchestrator 2012 00:08:00 Putting Orchestrator, Operations Manager, and Service Manager Together 00:15:00 What's New with Orchestrator 2012 R2 00:04:00 Managing Problems in the Private Cloud What is Problem Management 00:07:00 Using Custom Rules 00:08:00 Service Management in the Private Cloud Service Manager Introduction 00:10:00 Security Settings 00:09:00 Work Items 00:08:00 Incident Queues and Service Offerings 00:03:00 What's New with Service Manager 2012 R2 00:01:00 Cloud Protection, Recovery, and Compliance Protecting and Recovering Data for the Private Cloud 00:29:00 Overview of the Process Pack for IT GRC 00:14:00 Installing the Process Pack for IT GRC 00:06:00 Implementing an IT GRC Control Management Program 00:06:00 How to Maintain Compliance Through VMM Security Baselines with System Center 00:06:00 What's New with DPM 2012 R2 Advisor 00:03:00 SLAs, Dashboards and Widgets Configuring and Deploying Widgets and Dashboards 00:12:00 Real-Time State Using Visio 00:10:00 System Center Analytics 00:12:00 Service Level Tracking 00:05:00 Viewing SSRS and Excel to View Data 00:04:00 PerformancePoint 00:04:00 Cleaning Up System Center Databases Service Manager Groom Settings 00:08:00 View and Purge Orchestrator Runbook Logs 00:08:00 Understanding the Private Cloud Understanding the Private Cloud FREE 00:09:00 Preparing to Deploy the Cloud 00:06:00 Components of the Private Cloud 00:13:00 System Center 2012 Components 00:13:00 Using Hyper-V with VMM 00:07:00 Using VMM to Deploy the Cloud VMM Architecture 00:16:00 Install and_or Upgrade VMM 00:08:00 Host Groups 00:13:00 Understanding Security 00:06:00 Whats New with VMM R2 00:10:00 Working With the Private Cloud Infrastructure PXE and Update Servers 00:08:00 Bare Metal Hyper-V Host Servers 00:06:00 Configuring the Update Server Role 00:08:00 The Update Baseline 00:10:00 Virtual Applications Dynamic Application Deployment 00:10:00 Server Application Virtualization Overview 00:16:00 Configuring Server App-V Components 00:05:00 Sequencing and Deploying Virtual Apps 00:08:00 Components of the Private Cloud SQL Server Profiles 00:08:00 OS Profiles 00:05:00 Application Profiles 00:04:00 Hardware Profiles 00:07:00 VM Templates 00:05:00 Self-Service User Role 00:10:00 A First Business Unit Cloud What is Private Cloud Computing 00:08:00 Installing and Configuring App Controller 00:05:00 Creating and Managing Services and Service Templates 00:11:00 Changes with App Controller 2012 R2 00:01:00 Private Cloud Infrastructure Operations Manager Components 00:25:00 Upgrading 00:10:00 Notifications 00:07:00 Management Packs 00:15:00 Putting It All Together 00:06:00 What's New in Operations Manager 2012 R2 00:09:00 Monitoring the Private Cloud Using SharePoint 00:04:00 Templates for Monitoring 00:23:00 Watching a Distributed App 00:07:00 Service Management for the Cloud What is Service Manager 00:15:00 Understanding Work Items 00:19:00 Connectors 00:08:00 Notifications 00:03:00 Private Cloud Service Catalog Private Cloud Service Catalog 00:10:00 Service Level Management 00:03:00 Automation in the Private Cloud Planning DPM Deployment 00:11:00 DPM Technologies 00:07:00 Upgrading DPM 00:03:00 Configuring DPM for the Private Cloud 00:13:00 Configuring Application Protection for the Private Cloud 00:11:00 What's New with DPM 2012 R2 00:03:00 Security for the Cloud Orchestrator Architecture 00:08:00 Deployment and Configuration of Orchestrator 00:07:00 Using Runbooks 00:07:00 Using Integration Packs 00:17:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 1 Days 6 CPD hours This course is intended for This course is intended for business and IT managers who may need to consider or work within a cloud computing environment. Overview Upon successful completion of this course, students will be able to: - identify the pros and cons of the cloud computing technology and determine its impact on businesses.- differentiate the currently-available cloud services.- differentiate cloud categories and adoption measures.- identify risks involved and risk mitigation measures in cloud computing. In this course, students will define cloud computing technology and describe its impact on IT scenario. Introducing Cloud Computing Impact of the Cloud on Businesses Cloud Computing?An Overview Cloud Components Differentiating Cloud Services Infrastructure as a Service (IaaS)?An Overview Platform as a Service (PaaS)?An Overview Software as a Service (SaaS)?An Overview Integrating Cloud Services Categories of Cloud Deployment Models Migration to the Cloud Identifying Risks and Risk Mitigation Measures Cloud Computing Risks Cloud Computing Risk Mitigation Measures Additional course details: Nexus Humans Introduction to Cloud Computing training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Cloud Computing course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.