5802 Computing courses in Bentley delivered Online

Duration 5 Days 30 CPD hours This course is intended for This is an intermediate course for anyone with system administrative duties implementing and managing an AIX operating system in a multiuser POWER (System p) partitioned environment. Overview Install and the AIX operating system, filesets, and RedHat Package Manager (RPM) packages Perform system startup and shutdown Discuss and use system management tools such as System Management Interface Tool (SMIT) and IBM systems director console for AIX Manage physical and logical devices Discuss the purpose of the logical volume manager Perform logical volume, paging space and file system management Create and manage user administration Manage AIX user security including enhanced RBAC and implement customized access of file and directories Perform and restore system backups Utilize administrative subsystems, including cron to schedule system tasks Configure TCP/IP networking Define and run basic Workload Partitions (WPAR) Learn to install, customize, and administer the AIX operating system in a POWER (System p) partitioned environment. This course is based on AIX 7.1 running on a Power7 system managed by HMC version 7. Day 1 Introduction to IBM POWER systems, AIX and system administration AIX system management tools System startup and shutdown AIX installation Day 2 AIX software installation and maintenance System configuration and devices System storage overview Working with the Logical Volume Manager Day 3 File systems administration Paging space Backup and restore Day 4 Security and user administration: Part 1 Security and user administration: Part 2 Scheduling and time TCP/IP networking Day 5 TCP/IP networking (continued) Introduction to workload partitions Additional course details: Nexus Humans AN12 IBM Power Systems for AIX II - AIX Implementation and Administration 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 AN12 IBM Power Systems for AIX II - AIX Implementation and Administration 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.

Duration 1 Days 6 CPD hours This course is intended for Developers Overview The basics of and motivation for using the functional programming paradigmFeatures of the Scala languageWorking with variables in ScalaUsing Scala collectionsControlling code flow in ScalaImporting and using Scala code libraries Scala training course will teach students the key language concepts and programming techniques, essential for students to focus on the covered subjects without having to also learn a complex programming language at the same time. Scala Basics Scala Background Information Key Scala Concepts Programming in Scala Variables Scala Variables Numerical Boolean String Collections Tuples The Collections Hierarchy Sets Lists Arrays Maps Common Conversions Flow Control Looping Iterators Functions Passing Functions Collection Iteration Methods Pattern Matching Libraries Classes and Objects Packages Import Additional course details: Nexus Humans Just Enough Scala 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 Just Enough Scala 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.

Duration 5 Days 30 CPD hours

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: List the operational challenges for rolling out and operating telco services including 5G. Identify the role of VMware Telco Cloud products in supporting telco services. Discuss the role of VMware technologies such as vSphere, NSX, and Tanzu etc. in implementing telco services. Outline the role of native tools and other VMware monitoring tools such as vRealize Operations and vRealize Log Insight in maintaining network services. Choose the VMware Telco Cloud products that meet your application requirements. Deploy a solution architecture that meet VMware best practices for delivering services using VMware Telco Cloud products. Implement and maintain VMware Telco Cloud products in a secure manner. Identify the tools and remediation pathways for maintaining the availability and performance of your applications and infrastructure using VMware Telco Cloud and vRealize Suite products. Follow specific steps to resolve application performance and availability problems Scale your VMware Telco Cloud products to meet operational requirements in line with VMware best practices. Optimize the operation of VMware Telco Cloud products to ensure SLAs are met. This five-day, hands-on training course provides the knowledge to operate and scale VMware Telco Cloud version 2.x products in a Telco cloud provider environment. In this course, you are exposed to the entire VMware Telco Cloud portfolio, and the tools and methodologies available to ensure they operate effectively. In addition, you are presented with various scenarios where you will be guided through the process of identifying, analyzing, and formulating solutions to performance and other problems. Course Introduction Introductions and course logistics Course objectives Overview of Network Transformation Reviews the technologies that enable modern networks Lists the components of modern service provider networks Outlines characteristics of modern service provider networks in meeting customer application needs Service Delivery with VMware Telco Cloud Outlines the components of the VMware Telco Cloud portfolio Reviews the role each VMware Telco Cloud product plays in delivering telco services Specifies the dependencies each product has on underlying technologies Supporting VMware Telco Cloud Service Delivery Reviews the products that implements the virtualization, management, platform, and orchestration layers Outlines the role played by other VMware products such as NSX in delivering cloud services Outline opensource integration options with VMware Telco Cloud products Securing VMware Telco Cloud Reviews security threats that affect telco services Identifies the critical telco assets that are prone to attack Outlines best practice for securing VMware Telco Cloud products and underlying technology Provides overview of appropriate security controls for VMware Telco Cloud products Assessing Service Provision Reviews tools and methodologies used to gather requirements Outlines how to assess cloud-native capabilities Documenting findings Identifying security vulnerabilities with Helm. Reviews VMware?s Customer Engagement process Capturing infrastructure requirements from TCA Designing a VMware Telco Cloud Solution Selecting appropriate deployment topology Pros and cons of design choices How a design choice might be affected by other factors such as NSX and TKG deployment, or data center architecture Outlines typical scenarios where specific products align with identified requirements Documenting a design Designing for availability Ensuring a design aligns with best practice Specifying monitoring options Implementing VMware Telco Cloud Products Review deployment options for VMware products Integrating new products with existing ones Outline post-installation tasks Adding the new products as data sources in monitoring tools such as vRealize Operations and vRealize Operations Network Insight Ensuring products meet security requirements Configuring monitoring software Outlines the xNF onboarding process in TCA Maintaining Telco Services Outlines typical administrative tasks in ensuring services are maintained Use of native and other VMware performance monitoring tools Reviewing performance data Role of SLAs in service maintenance Reviews scenarios where known behaviors indicate problems Troubleshooting Deployed Telco Services Reviews the troubleshooting tools available Using tools to gather useful data Outlines how event correlation can be used to isolate problems Using a methodology to determine the root cause of a problem Steps to identify and resolve a problem Reviews scenarios where known problems are isolated and resolution steps identified Scaling VMware Telco Cloud Products Assessing if operations are impacted by lack of resources now or will be in the future Reviews performance optimization options Identifies implications for other products if you scale VMware Telco Cloud products Reviews VMware sizing guidelines Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Telco Cloud: Day 2 Operate and Scale [V2.x] 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 VMware Telco Cloud: Day 2 Operate and Scale [V2.x] 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.

Duration 3 Days 18 CPD hours This course is intended for Technical Leaders Overview What is BlockchainHow does Blockchain workTypes of BlockchainsHow is Blockchain different from what we have todayWhat are use cases for BlockchainWhat does a Blockchain app look likeHow do I design a Blockchain appHow do I develop a Blockchain appHow do I test a Blockchain app This instructor-led 3 day Blockchain Architecture training is for technical leaders who need to make decisions about architecture, environment, and development platforms. What is Blockchain? A record keeping system Trust Decentralization Trustless environment How does Blockchain work? Announcements Blocks Nodes Chaining Verification Consensus Scalability Privacy Crypto Hashing Digital Fingerprinting PoW vs PoS Types of Blockchains Public vs Private Open vs closed Smart Contracts Blockchain as History Tokens / Coins Gas How is Blockchain different from what we have today? Decentralized Peer-to-peer architecture Software vs Firmware Database vs Blockchain Distributed database or other technology? Data Sovereignty Group Consensus What are Use Cases for Blockchain? Use Case Examples Currency Banking Services Voting Medical Records Supply Chain / Value Chain Content Distribution Verification of Software Updates (cars, planes, trains, etc) Law Enforcement Title and Ownership Records Social Media and Online Credibility Fractional asset ownership Cable Television billing High fault tolerance DDoS-proof Public or Private Blockchain? Who are the participants? What does a Blockchain app look like? DApp Resembles typical full stack web application Any internal state changes and all transactions are written to the blockchain Node.js IDE Public Blockchain visibility Private Blockchain solutions Oracles How do I design a Blockchain app? What does this solution need to let users do? Will the proposed solution reduce or remove the problems and pain points currently felt by users? What should this solution prevent users from doing? Do you need a solution ready for heavy use on day 1? Is your solution idea enhanced by the use of Blockchain? Does the use of Blockchain create a better end-user experience? If so, how? Has your business developed custom software solutions before? What level of support are you going to need? How big is the developer community? Does your vision of the future align with the project or platform's vision of the future? Does the platform aim to make new and significant contributions to the development space, or is it an efficiency / cost play? Should the solution be a public or private Blockchain? Should the solution be an open or closed Blockchain? Create a plan for contract updates and changes! Hybrid solutions Monetary exchanges? How do I develop a Blockchain app? AGILE approach pre-release Define guiding principles up front Software vs Firmware Announcements, not transactions! Classes, not contracts Link contracts to share functions Use calling contracts to keep contract address the same Hyperledger vs Ethereum CONSIDER No of Users * Avg No of Transactions (state changes) per User Should a Blockless solution be applied? Performance Security Anonymity Security Monolithic vs Modular Sandwich complexity model How do I test a Blockchain app? Recommend 5x to 10x traditional application testing time Security Networks

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Application developers, Cloud Solutions Architects, 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 At the end of the course, students will be able to: Understand container basics. Containerize an existing application. Understand Kubernetes concepts and principles. Deploy applications to Kubernetes using the CLI. Set up a continuous delivery pipeline using Jenkins Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. Students will also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates. Introduction to Containers and Docker Acquaint yourself with containers, Docker, and the Google Container Registry. Create a container. Package a container using Docker. Store a container image in Google Container Registry. Launch a Docker container. Kubernetes Basics Deploy an application with microservices in a Kubernetes cluster. Provision a complete Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl. Break an application into microservices using Kubernetes? Deployments and Services. Deploying to Kubernetes Create and manage Kubernetes deployments. Create a Kubernetes deployment. Trigger, pause, resume, and rollback updates. Understand and build canary deployments. Continuous Deployment with Jenkins Build a continuous delivery pipeline. Provision Jenkins in your Kubernetes cluster. Create a Jenkins pipeline. Implement a canary deployment using Jenkins. Additional course details: Nexus Humans Getting Started with Google Kubernetes Engine 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 Getting Started with Google Kubernetes Engine 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.

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.

Lab Technician with Food Microbiology Diploma Master the essentials of medical and food microbiology as a Lab Technician. Elevate your analytical skills with state-of-the-art microscope techniques. Achieve excellence in healthcare and food safety with our comprehensive Lab Technician with Food Microbiology Diploma. Learning Outcomes: Operate medical laboratory equipment as a Lab Technician. Utilize microscope techniques in Lab Technician tasks. Analyze hematological samples proficiently as a Lab Technician. Conduct clinical chemistry assays in a Lab Technician role. Investigate food spoilage mechanisms as a specialized Lab Technician. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Lab Technician with Food Microbiology Diploma: Medical Laboratory Services Execute precise medical tests, reinforcing your expertise as a Lab Technician in healthcare settings. Microscope and How to Use It Master microscope operations to excel in your role as a Lab Technician across multiple fields. Haematology Perform thorough hematological assessments, cementing your standing as a proficient Lab Technician. Clinical Chemistry Conduct detailed clinical chemistry tests to facilitate medical diagnostics as a skilled Lab Technician. Food Spoilage and Preservation Explore mechanisms of food spoilage and apply effective preservation methods as a Lab Technician. Probiotic Foods and Gut Health Analyze probiotic foods and their impact on gut health, broadening your capabilities as a Lab Technician in food microbiology.

This course aims to teach you how to employ NLP for self-improvement by examining exclusive tactics and implementing them to meet one’s goals.

Duration 1 Days 6 CPD hours This course is intended for Software developers, system administrators, and IT professionals who are focused on Microsoft Windows Overview Configuring Microsoft Windows and Microsoft SQL Server in Google Compute Engine. Deploying ASP.NET MVC applications to Google Compute Engine. Deploying .NET Core applications to Google Compute Engine, Google Compute Engine, and Google Container Engine Learn how to create Windows virtual machines on Google Cloud so that you can deploy and run Microsoft Windows applications. In this course, you'll learn how to run SQL Server in Compute Engine, how to deploy instances across Google Cloud zones, and how to get more out of ASP.NET on Compute Engine, Google Container Engine, and App Engine. Introduction to Google Cloud Platform Scope and structure of GCP. Options for Windows deployment on GCP. GCP interfaces. Windows Workloads on Google Compute Engine Google Compute Engine virtual machine options. Integrating Active Directory with Google Compute Engine virtual machines. Options for running SQL Server in Google Compute Engine. Configuring SQL Server for high availability. Developing ASP.NET MVC applications Model-view-controller structure. Using Microsoft Visual Studio?s Web Project template to develop in ASP.NET. Deploying applications to Microsoft Internet Information Server (IIS) in GCE. Configuring Resilient Workloads Deploying instances across GCP zones. Using instance groups to create pools of virtual machines. Load balancing Windows applications. Delivering Next-Generation ASP.NET Core on GCP Understanding .NET Core and EF Core. Options for deploying ASP.NET Core applications on Google Cloud Platform. Deploying ASP.NET Core applications on Google Compute Engine. Deploying ASP.NET Core applications on Google Container Engine. Deploying ASP.NET Core applications on Google App Engine. Additional course details: Nexus Humans Develop and Deploy Windows Applications on Google Cloud Platform 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 Develop and Deploy Windows Applications on Google Cloud Platform 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.