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Satellite communications training course description This course starts by recaping some of the essential satellite knowledge required and proceeds to explore the deeper aspects of satellite communications, including hardware, communications and error control coding. What will you learn Explain how satellite communications work. Explain how RF works Explain the architecture of satellite systems. Use spectrum analysers. Satellite communications training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 3 days Satellite communications training course contents Basic Principles of Satellite Communications GEO, MEO and LEO satellites. Launching and orbits. Frequency bands and polarisation. Satellite footprints. Multibeam coverage. Power spectra. Link budgets. Modulation and coding. Access technologies. Earth station components. Space segment components. Satellite system services. Satellite operators. Radio frequency propagation Electromagnetic waves principles and generation. Reception of the EM wave. Space wave, sky wave and surface wave theory. The isotropic radiator. Types of antennae and their basic properties. Polar diagrams. International frequency allocation. Spectrum management and utilisation. Radio wave propagation. Line of sight propagation. Propagation for satellite comms. Free space path loss. Path attenuation. Noise and Interference. Power and its measurement. Satellite antennae and other hardware Power flux density. Effective aperture. Horn antennae. Parabolic reflector. Offset feed. Cassegrain and Gregorian antennae. Antenna feed systems - Horn, TMC, OMJ and polarizer. Antenna steering and mount systems. Array antennae. LNA, LNB, LNC. Microwave tubes - TWT and Klystron. Polarizers. Earth and Space Segments and the link Earth station antennae. Transponders. Antennae sub systems. Power supplies. Link budgets. System noise. System losses. Interference. Satellite switching. Ground Communications Equipment Baseband signals. Analogue and Digital systems. Overview of modulation - AM, FM, PM. Digital Modulation. Frequency conversion -up and down conversion. Filters, mixers, local oscillators, IF amplifiers and group delay equalisers. Access methods - single and multiple access systems. Data networks. Television transmission - analogue and digital. Digital signal compression. MPEG processing. Satellite Navigation Longitude, latitude, altitude, GPS, How GPS works, timing, alternatives to GPS. Mobile satellite services Voice and Phones, BGAN, TV, GPS to program aerial, VSAT. Error Control Coding The need for coding. Linear block codes. Cyclic codes. Convolution codes. Interleaving and concatenated codes. Coding gain. Turbo codes. Test and measurement Theory and practice of Spectrum Analysers.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for system administrators, network administrators and application developers responsible for the customization of traffic flow through a BIG-IP system. This course provides networking professionals a functional understanding of iRules development. The course builds on the foundation of the Administering BIG-IP or Configuring LTM course, demonstrating how to logically plan and write iRules to help monitor and manage common tasks involved with processing traffic on the BIG-IP system. Extensive course labs consist of writing, applying and evaluating the effect of iRules on local traffic. This hands-on course includes lectures, labs, and discussions. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP System Configuration Leveraging F5 Support Resources and Tools Module 2: Getting Started with iRules Customizing Application Delivery with iRules Triggering an iRule Leveraging the DevCentral Ecosystem Creating and Deploying iRules Module 3: Exploring iRule Elements Introducing iRule Constructs Understanding iRule Events and Event Context Working with iRule Commands Logging from an iRule Using SYSLOG-NG (LOG Command) Working with User-Defined Variables Working with Operators and Data Types Working with Conditional Control Structures (IF and SWITCH) Incorporating Best Practices in iRules Module 4: Developing and Troubleshooting iRules Mastering Whitespace and Special Symbols Grouping Strings Developing and Troubleshooting Tips Using Fiddler to Test and Troubleshoot iRules Module 5: Optimizing iRule Execution Understanding the Need for Efficiency Measure iRule Runtime Efficiency Using Timing Statistics Modularizing iRules for Administrative Efficiency Using Procedures to Modularize Code Optimizing Logging Using High-Speed Logging Commands in an iRule Implementing Other Efficiencies Using Looping Control Structures (WHILE, FOR, FOREACH Commands) Module 6: Securing Web Applications with iRules Integrating iRules into Web Application Defense Mitigating HTTP Version Attacks Mitigating Path Traversal Attacks Using iRules to Defends Against Cross-Site Request Forgery (CSRF) Mitigating HTTP Method Vulnerabilities Securing HTTP Cookies with iRules Adding HTTP Security Headers Removing Undesirable HTTP Headers Module 7: Working with Numbers and Strings Understanding Number Forms and Notation Working with Strings (STRING and SCAN Commands) Combining Strings (Adjacent Variables, CONCAT and APPEND Commands) Using iRule String Parsing Functions (FINDSTR, GETFIELD, and SUBSTR Commands) Module 8: Processing the HTTP Payload Reviewing HTTP Headers and Commands Accessing and Manipulating HTTP Headers (HTTP::header Commands) Other HTTP commands (HTTP::host, HTTP::status, HTTP::is_keepalive, HTTP::method, HTTP::version, HTTP::redirect, HTTP::respond, HTTP::uri) Parsing the HTTP URI (URI::path, URI::basename, URI::query) Parsing Cookies with HTTP::cookie Selectively Compressing HTTP Data (COMPRESS Command) Module 9: Working with iFiles and Data Groups Working with iFiles Introducing Data Groups Working with Old Format Data Groups (MATCHCLASS, FINDCLASS) Working with New Format Data Groups (CLASS MATCH, CLASS SEARCH) Module 10: Using iRules with Universal Persistence, Stream, and Statistics Profiles Implementing Universal Persistence (PERSIST UIE Command) Working with the Stream Profile (STREAM Command) Collecting Statistics Using a Statistics Profile (STATS Command) Collecting Statistics Using iStats (ISTATS Command) Module 11: Incorporating Advanced Variables Reviewing the Local Variable Namespace Working with Arrays (ARRAY Command) Using Static and Global Variables Using the Session Table (TABLE Command) Processing Session Table Subtables Counting ?Things? Using the Session Table

Duration 3 Days 18 CPD hours This course is intended for Students in this course are experienced AWS developers interested in Azure development. A three-day course designed to teach AWS (Amazon Web Services) developers how to prepare end-to-end solutions in Microsoft Azure. In this course you will construct Azure App Service Web App solutions and Azure Functions, use blob or Cosmos DB storage in solutions, implement secure cloud solutions that include user authentication and authorization, implement API management, and develop event- and message-based solutions, and monitor, troubleshoot, and optimize your Azure solutions. You will learn how developers use Azure services, with additional focus on features and tasks that differ from AWS, and what that means for you as you develop applications that will be hosted by using Azure services Create Azure App Service Web Apps Azure App Service core concepts Creating an Azure App Service Web App Configuring and Monitoring App Service apps Scaling App Service apps Azure App Service staging environments Implement Azure functions Azure Functions overview Developing Azure Functions Implement Durable Functions Develop solutions that use blob storage Azure Blob storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Create an Azure Resource Manager Template Develop solutions that use Cosmos DB storage Azure Cosmos DB overview Azure Cosmos DB data structure Working with Azure Cosmos DB resources and data Create and deploy ARM templates Implement user authentication and authorization Microsoft Identity Platform v2.0 Authentication using the Microsoft Authentication Library Using Microsoft Graph Authorizing data operations in Azure Storage Implement secure cloud solutions Manage keys, secrets, and certificates by using the KeyVault API Implement Managed Identities for Azure resources Secure app configuration data by using Azure App Configuration Implement API Management API Management overview Defining policies for APIs Securing your APIs Develop event-based solutions Implement solutions that use Azure Event Grid Implement solutions that use Azure Event Hubs Implement solutions that use Azure Notification Hubs Develop message-based solutions Implement solutions that use Azure Service Bus Implement solutions that use Azure Queue Storage queues Monitor and optimize Azure solutions Overview of monitoring in Azure Instrument an app for monitoring Analyzing and troubleshooting apps Implement code that handles transient faults Additional course details: Nexus Humans AZ-020T00 - Microsoft Azure solutions for AWS Developers 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 AZ-020T00 - Microsoft Azure solutions for AWS Developers 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 Programmers Application DevelopersSystem Architects Network ArchitectsNetwork Security Architects IT Professionals w/programming experience Overview Those who attend the Ethereum Development course and pass the exam certification will have a demonstrated knowledge of:An excellent overall understanding of the Ethereum architecture and Solidity language.All functional components (including smart contracts) required to develop an Ethereum Blockchain.The understanding of how to instantiate an Ethereum application on the network.An in-depth understanding of how transactions are created and implemented on an Ethereum network. This 3 day instructor-led course is designed for programmers and developers who want to take a comprehensive deep dive in writing smart contracts and building applications that interact with them. This course provides detailed overviews of Ethereum, smart contracts, and the development language, Solidity. The student will be exposed to Ethereum?s adaptable feature set which allows the developer to design decentralized applications for countless applications. Students will also participate in hands-on programming lab sessions to learn, develop, and advance their skills in Ethereum development. The Ethereum Development Training Course is designed for those seeking an in-depth understanding and development experience of the Ethereum Blockchain platform. Students will participate in approximately 50% programming lab time providing practical experience, enhancing their knowledge and existing skill set. What is Blockchain and Smart Contracts? What is Blockchain and how does it work? Bitcoin vs Ethereum Smart Contract How you can use Smart Contracts? Advantages of Smart Contracts Solidity LAB TASK Types of Variables in Solidity Public and Private Code Public Variables and Functions Private Variables and Functions Internal Functions External Functions Smart Contract Constructors Constant Variables Setting Variables LAB CHALLENGE Smart Contracts With WEB3.JS LAB Installing & Running the Ethereum TestRPC Installing Web3.js Changing the Environment in Remix Creating the UI Using Web3.js to Connect & Interact with the Smart Contract SOLUTION LAB CHALLENGE Smart Contract Events With WEB3.JS AIM LAB The Current Contract Defining the Smart Contract Event Updating the UI LAB CHALLENGE Functions, Mappings and Structs THEORY Functions Mappings Structs LAB The Smart Contract Creating a Modifier Using the Modifier Web3 UI?s Modifier Handling LAB Creating a Struct Creating the Mapping Map Addition Get from the Mapping The Full Contract Count from Map LAB CHALLENGE Inheritance and Deployment THEORY Object-oriented programming Inheritance LAB Current Contract Creating a Base Contract Changing from Strings to bytes Continuing the Project Installing MetaMask Deploy Contract to the Ropsten Test Network LAB Update the HTML Form Update the JavaScript Using the App LAB CHALLENGE Embark Framework and It's Deployment Blockchain (Ethereum) Decentralized Storage (IPFS) Decentralized Communication Web Technologies LAB Installing Embark Framework Hello World with Embark Framework First Contract Deployment with Embark Framework Solidity Smart Contracts Testing THEORY What is Software Testing? LAB LAB CHALLENGE Contracts Management With Factories THEORY Factory LAB LAB CHALLENGE IPFS Files Hosting THEORY IPFS FILES HOSTING LAB 1. Get your hosting server 2. Install IPFS on the Server LAB CHALLENGE End to End Development of DAPP AIM LAB Setup the Project Program the Smart Contract Create the Front-end of the application Deploy the App with IPFS LAB CHALLENGE

Duration 3 Days 18 CPD hours This course is intended for This is an Introductory level course for experienced Linux system administrators, DevOps engineers, infrastructure automation engineers, and systems design engineers. Ideally students should have familiarity with basic Python scripting. Attendees without programming skills can follow along with the scripting portion of the labs. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert practitioner attendees will explore how to: Describe Ansible concepts and install Red Hat Ansible Engine (optional - we can pre-install is as well if desired, depending on the audience) Deploy Ansible and Configure Ansible to manage hosts and run ad hoc Ansible commands. Implement playbooks Write a simple Ansible playbook and run it to automate tasks on multiple managed hosts. Manage variables and facts Write playbooks that use variables to simplify management of the playbook and facts to reference information about managed hosts. Implement task control; Manage task control, handlers, and task errors in Ansible playbooks. Deploy files to managed hosts Deploy, manage, and adjust files on hosts managed by Ansible. Manage large projects Write playbooks that are optimized for larger, more complex projects. Simplify playbooks with roles Use Ansible roles to develop playbooks more quickly and to reuse Ansible code. Troubleshoot Ansible Troubleshoot playbooks and managed hosts. Automate Linux administration tasks Automate common Linux system administration tasks with Ansible This lab-intensive course is geared toward those responsible for automation of configuration management; consistent and repeatable application deployment; provisioning and deployment of development, testing, and production servers; and integration with DevOps CI/CD workflows. Throughout the course you will explore core Ansible features such as automatic provisioning, configuration management, service deployment and operational processes. Ansible Overview Overview of Architecture Overview of Deployments Inventory Deploying Ansible Installing Configuration Files Running Ad Hoc Commands Dynamic Inventory Playbooks Writing YAML Files Modules Variables and Inclusions Variables Facts Inclusions Task Control Constructing Flow Control Handlers Tags Handling Errors Jinja2 Templates Jinja2 Templates Jinja2 Templates Roles Role Structure Creating Roles Deploying Roles with Ansible Galaxy Optimizing Ansible Configuring Connection Types Configuring Delegation Configuring Parallelism Ansible Vault Configuring Ansible Vault Executing with Ansible Vault Troubleshooting Ansible Troubleshooting Playbooks Troubleshooting Managed Hosts Ansible Tower Ansible Tower overview Installing Account management Hosts Jobs Optional: Ansible in a DevOps Environment Provisioning Vagrant Machines Deploying Vagrant in a DevOps Environment Deploying Docker in a DevOps Environment Additional course details: Nexus Humans Introduction to Ansible: Automation with Ansible (TTDV7580) 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 Ansible: Automation with Ansible (TTDV7580) 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 This course is intended for: Intermediate software developers Overview In this course, you will learn to: Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript Interact with AWS services and develop solutions by using the AWS SDK Use AWS Identity and Access Management (IAM) for service authentication Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions Use Amazon Cognito for user authentication Use Amazon ElastiCache to improve application scalability Leverage the CI/CD pipeline to deploy applications on AWS In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips. Module 0: Course Overview Agenda Introductions Student resources Module 1: Introduction to AWS Introduction to the AWS Cloud Cloud scenarios Infrastructure overview Introduction to AWS foundation services Module 2: Introduction to Developing on AWS Getting started with developing on AWS Introduction to developer tools Introduction to management tools Module 3: Introduction to AWS Identity and Access Management Shared responsibility model Introduction to IAM Use authentication and authorization Module 4: Introduction to the Lab Environment Introduction to the lab environment Lab 1: Getting started and working with IAM Module 5: Developing Storage Solutions with Amazon Simple Storage Service Overview of AWS storage options Amazon S3 key concepts Best practices Troubleshooting Scenario: Building a complete application Lab 2: Developing storage solutions with Amazon S3 Module 6: Developing Flexible NoSQL Solutions with Amazon DynamoDB Introduction to AWS database options Introduction to Amazon DynamoDB Developing with DynamoDB Best practices Troubleshooting Scenario: Building an end-to-end app Lab 3: Developing flexible NoSQL solutions with Amazon DynamoDB Module 7: Developing Event-Driven Solutions with AWS Lambda What is serverless computing? Introduction to AWS Lambda Key concepts How Lambda works Use cases Best practices Scenario: Build an end-to-end app Module 8: Developing Solutions with Amazon API Gateway Introduction to Amazon API Gateway Developing with API Gateway Best practices Introduction to AWS Serverless Application Model Scenario: Building an end-to-end app Lab 4: Developing event-driven solutions with AWS Lambda Module 9: Developing Solutions with AWS Step Functions Understanding the need for Step Functions Introduction to AWS Step Functions Use cases Module 10: Developing Solutions with Amazon Simple Queue Service and Amazon Simple Notification Service Why use a queueing service? Developing with Amazon Simple Queue Service Developing with Amazon Simple Notification Service Developing with Amazon MQ Lab 5: Developing messaging solutions with Amazon SQS and Amazon SNS Module 11: Caching Information with Amazon ElastiCache Caching overview Caching with Amazon ElastiCache Caching strategies Module 12: Developing Secure Applications Securing your applications Authenticating your applications to AWS Authenticating your customers Scenario: Building an end-to-end app Module 13: Deploying Applications Introduction to DevOps Introduction to deployment and testing strategies Deploying applications with AWS Elastic Beanstalk Scenario: Building an end-to-end app Lab 6: Building an end-to-end app Module 14: Course wrap-up Course overview AWS training courses Certifications Course feedback

Duration 3 Days 18 CPD hours This course is intended for Experienced software developers who are already familiar with AWS services Overview In this course, you will learn how to: Analyze a monolithic application architecture to determine logical or programmatic break points where the application can be broken up across different AWS services Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture Recommend the appropriate AWS services to develop a microservices based cloud-native application Use the AWS API, CLI, and SDKs to monitor and manage AWS services Migrate a monolithic application to a microservices application using the 6 Rs of migration Explain the SysOps and DevOps interdependencies necessary to deploy a microservices application in AWS The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture. This three-day advanced course covers advanced development topics such as architecting for a cloud-native environment; deconstructing on-premises, legacy applications and repackaging them into cloud-based, cloud-native architectures; and applying the tenets of the Twelve-Factor Application methodology. Module 1: The cloud journey Common off-cloud architecture Introduction to Cloud Air Monolithic architecture Migration to the cloud Guardrails The six R?s of migration The Twelve-Factor Application Methodology Architectural styles and patterns Overview of AWS Services Interfacing with AWS Services Authentication Infrastructure as code and Elastic Beanstalk Demonstration: Walk through creating base infrastructure with AWS CloudFormation in the AWS console Hands-on lab 1: Deploy your monolith application using AWS Elastic Beanstalk Module 2: Gaining Agility DevOps CI/CD Application configuration Secrets management CI/CD Services in AWS Demonstration: Demo AWS Secrets Manager Module 3: Monolith to MicroServices Microservices Serverless A look at Cloud Air Microservices using Lambda and API Gateway SAM Strangling the Monolith Hands-on lab: Using AWS Lambda to develop microservices Module 4: Polyglot Persistence & Distributed Complexity Polyglot persistence DynamoDB best practices Distributed complexity Steps functions Module 5: Resilience and Scale Decentralized data stores Amazon SQS Amazon SNS Amazon Kinesis Streams AWS IoT Message Broker Serverless event bus Event sourcing and CQRS Designing for resilience in the cloud Hands-on lab: Exploring the AWS messaging options Module 6: Security and Observability Serverless Compute with AWS Lambda Authentication with Amazon Cognito Debugging and traceability Hands-on lab: Developing microservices on AWS Additional course details: Nexus Humans Advanced Developing on AWS 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 Advanced Developing on AWS 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 This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python 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 Advanced Programming Techniques with Python 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 This course is intended for Tier 1 Operators, administrators, and architects for VMware Horizon Overview By the end of the course, you should be able to meet the following objectives: Recognize the features and benefits of VMware Horizon Define a use case for your virtual desktop and application infrastructure Use vSphere to create VMs to be used as desktops for VMware Horizon Create and optimize Windows VMs to create VMware Horizon desktops Install and Configure Horizon Agent on a VMware Horizon desktop Configure, manage, and entitle desktop pools of full VMs Configure and manage the VMware Horizon Client systems and connect the client to a VMware Horizon desktop Configure, manage, and entitle pools of instant-clone desktops Create and use Remote Desktop Services (RDS) desktops and application pools Monitor the VMware Horizon environment using the VMware Horizon Console Dashboard and Horizon Help Desk Tool Identify VMware Horizon Connection Server installation, architecture, and requirements Describe the authentication and certificate options for the VMware Horizon environment Recognize the integration process and benefits of Workspace ONE Access™ and Horizon 8 Compare the remote display protocols that are available in VMware Horizon Describe the 3D rendering options available in Horizon 8 Discuss scalability options available in Horizon 8 Describe different security options for the Horizon environment This five-day course gives you the hands-on skills to deliver virtual desktops and applications through a single virtual desktop infrastructure platform. You build on your skills in configuring and managing VMware Horizon© 8 through a combination of lecture and hands-on labs. You learn how to configure and deploy pools of virtual machines and how to provide a customized desktop environment to end-users. Additionally, you learn how to install and configure a virtual desktop infrastructure platform. You learn how to install and configure VMware Horizon© Connection Server?, VMware Unified Access Gateway?, how to configure a load balancer for use with Horizon, and how to establish Cloud Pod Architecture. Course Introduction Introductions and course logistics Course objectives Introduction to VMware Horizon Recognize the features and benefits of Horizon Describe the conceptual and logical architecture of Horizon Introduction to Use Case Convert customer requirements to use-case attributes Define a use case for your virtual desktop and application infrastructure vSphere for VMware Horizon Explain basic virtualization concepts Use VMware vSphere© Client? to access your VMware vCenter System and VMware ESXi? hosts Create a Windows virtual machine using vSphere Create Windows Desktops Outline the steps to install Horizon Agent on Windows virtual machines Install Horizon Agent on a Windows virtual Machine Optimize and prepare Windows virtual machines to set up Horizon desktop VMs Create Linux Desktops Create a Linux VM for Horizon Install Horizon Agent on a Linux virtual machine Optimize and prepare Linux virtual machines to set up Horizon desktop VMs Creating and Managing Desktop Pools Identify the steps to set up a template for desktop pool deployment List the steps to add desktops to the VMware Horizon© Connection Server? inventory Compare dedicated-assignment and floating-assignment pools Outline the steps to create an automated pool Define user entitlement Explain the hierarchy of global, pool-level, and user-level policies VMware Horizon Client Options Describe the different clients and their benefits Access the Horizon desktop using various Horizon clients and HTML Configure integrated printing, USB redirection, and the shared folders option Configure session collaboration and media optimization for Microsoft Teams Creating and Managing Instant-Clone Desktop Pools List the advantages of instant clones Explain the provisioning technology used for instant clone desktop pools Set up an automated pool of instant clones Push updated images to instant clone desktop pools Creating RDS Desktop and Application Pools Explain the difference between an RDS desktop pool and an automated pool Compare and contrast an RDS session host pool, a farm, and an application pool Create an RDS desktop pool and an application pool Access RDS desktops and application from Horizon Client Use the instant clone technology to automate the build-out of Remote Desktop Session Host farms Configure load-balancing for RDSHs on a farm Monitoring VMware Horizon Monitor the status of the Horizon components using the Horizon Administrator console dashboard Monitor desktop sessions using the HelpDesk tool Monitor the performance of the remote desktop using the Horizon Performance Tracker Horizon Connection Server Recognize the VMware Horizon reference architecture Identify the Horizon Connection Server supported features Identify the recommended system requirements for Horizon Connection Server Configure the Horizon event database Outline the steps for the initial configuration of Horizon Connection Server Discuss the AD LDS database as a critical {an important component?} component of the Horizon Connection Server installation Horizon Protocols Compare the remote display protocols that are available in VMware Horizon Describe the BLAST Display Protocol Codecs Summarize the BLAST Codec options List the ideal applications for each BLAST codec Describe the BLAST and PCoIP ADMX GPO common configurations Graphics in Horizon Describe the 3D rendering options available in Horizon 8 Compare vSGA and vDGA List the steps to configure graphics cards for use in a Horizon environment Securing Connections: Network Compare tunnels and direct connections for client access to desktops Discuss the benefits of using Unified Access Gateway List the Unified Access Gateway firewall rules Configure TLS certificates in Horizon Securing Connections: Authentication Compare the authentication options that Horizon Connection Server supports Restrict access to the Horizon remote desktops using restricted entitlements Describe the smart card authentication methods that Horizon Connection Server supports Explain the purpose of permissions, roles, and privileges in VMware Horizon Create custom roles Horizon Scalability Describe the purpose of a replica connection server Explain how multiple Horizon Connection Server instances in a pod maintain synchronization List the steps to configure graphics cards for use in a Horizon environment Configure a load balancer for use in a Horizon environment Explain Horizon Cloud Pod Architecture LDAP replication. Explain Horizon Cloud Pod Architecture scalability options Horizon Cloud and Universal Broker Recognize the features and benefits of Horizon Cloud Service Use Universal broker to connect to a Horizon Cloud instance Configure and pair the Horizon Cloud Connector appliance with Horizon Connection Server Workspace ONE Access and Virtual Application Management Recognize the features and benefits of Workspace ONE Access Explain identity management in Workspace ONE Access Explain access management in Workspace ONE Access Describe the requirements to install and configure True SSO in a Horizon environment Describe the Workspace ONE Access directory integration Deploy virtual applications with Workspace services Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Horizon: Deploy and Manage [V8.8] 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 Horizon: Deploy and Manage [V8.8] 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.