720 Software Development courses in Waltham Abbey delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples

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Duration 5 Days 30 CPD hours This course is intended for Motivations: Quickly learn the foundations of containerization and orchestration with Docker Swarm, and become familiar with all the features of Docker Enterprise. Roles: System Operators & Administrators Overview This course combines all topics of CN100 , CN110 , CN210 In this intense cloud native bootcamp, you?ll encounter containers for the first time, learn to orchestrate them into scalable, highly available applications orchestrated by Docker Swarm, and finally discover how to enhance the security of your entire software supply chain and production environments using Docker Enterprise. This bundle is ideal for students who are just starting out with containerization and want to leverage the full power of the Docker Enterprise platform as soon as possible. In this intense cloud native bootcamp, you'll encounter containers for the first time, learn to orchestrate them into scalable, highly available applications orchestrated by Docker Swarm, and finally discover how to enhance the security of your entire software supply chain and production environments using Docker Enterprise. This bundle is ideal for students who are just starting out with containerization and want to leverage the full power of the Docker Enterprise platform as soon as possible.

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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

Android Studio Taster Course. Brilliant for a beginner to get started quickly. introduction to the Android Studio environment, to get you started. An interesting and fun session. Hands-on, Practical Course, Instructor-led. 1 hour In our London classroom or online with Gotomeeting.com

Duration 3 Days 18 CPD hours This course is intended for Cluster administrators (Junior systems administrators, junior cloud administrators) interested in deploying additional clusters to meet increasing demands from their organizations. Cluster engineers (Senior systems administrators, senior cloud administrators, cloud engineers) interested in the planning and design of OpenShift clusters to meet performance and reliability of different workloads and in creating work books for these installations. Site reliability engineers (SREs) interested in deploying test bed clusters to validate new settings, updates, customizations, operational procedures, and responses to incidents. Overview Validate infrastructure prerequisites for an OpenShift cluster. Run the OpenShift installer with custom settings. Describe and monitor each stage of the OpenShift installation process. Collect troubleshooting information during an ongoing installation, or after a failed installation. Complete the configuration of cluster services in a newly installed cluster. Installing OpenShift on a cloud, virtual, or physical infrastructure. Red Hat OpenShift Installation Lab (DO322) teaches essential skills for installing an OpenShift cluster in a range of environments, from proof of concept to production, and how to identify customizations that may be required because of the underlying cloud, virtual, or physical infrastructure. This course is based on Red Hat OpenShift Container Platform 4.6. 1 - Introduction to container technology Describe how software can run in containers orchestrated by Red Hat OpenShift Container Platform. 2 - Create containerized services Provision a server using container technology. 3 - Manage containers Manipulate prebuilt container images to create and manage containerized services. 4 - Manage container images Manage the life cycle of a container image from creation to deletion. 5 - Create custom container images Design and code a Dockerfile to build a custom container image. 6 - Deploy containerized applications on OpenShift Deploy single container applications on OpenShift Container Platform. 7 - Troubleshoot containerized applications Troubleshoot a containerized application deployed on OpenShift. 8 - Deploy and manage applications on an OpenShift cluster Use various application packaging methods to deploy applications to an OpenShift cluster, then manage their resources. 9 - Design containerized applications for OpenShift Select a containerization method for an application and create a container to run on an OpenShift cluster. 10 - Publish enterprise container images Create an enterprise registry and publish container images to it. 11 - Build applications Describe the OpenShift build process, then trigger and manage builds. 12 - Customize source-to-image (S2I) builds Customize an existing S2I base image and create a new one. 13 - Create applications from OpenShift templates Describe the elements of a template and create a multicontainer application template. 14 - Manage application deployments Monitor application health and implement various deployment methods for cloud-native applications. 15 - Perform comprehensive review Create and deploy cloudinative applications on OpenShift.

Duration 2 Days 12 CPD hours This course is intended for This class is primarily intended for the following participants: Technical employees using GCP, including customer companies, partners and system integrators deployment engineers, cloud architects, cloud administrators, system engineers , and SysOps/DevOps engineers. Individuals using GCP to create, integrate, or modernize solutions using secure, scalable microservices architectures in hybrid environments. Overview Connect and manage Anthos GKE clusters from GCP Console whether clusters are part of Anthos on Google Cloud or Anthos deployed on VMware. Understand how service mesh proxies are installed, configured and managed. Configure centralized logging, monitoring, tracing, and service visualizations wherever the Anthos GKE clusters are hosted. Understand and configure fine-grained traffic management. Use service mesh security features for service-service authentication, user authentication, and policy-based service authorization. Install a multi-service application spanning multiple clusters in a hybrid environment. Understand how services communicate across clusters. Migrate services between clusters. Install Anthos Config Management, use it to enforce policies, and explain how it can be used across multiple clusters. This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises. Anthos Overview Describe challenges of hybrid cloud Discuss modern solutions Describe the Anthos Technology Stack Managing Hybrid Clusters using Kubernetes Engine Understand Anthos GKE hybrid environments, with Admin and User clusters Register and authenticate remote Anthos GKE clusters in GKE Hub View and manage registered clusters, in cloud and on-premises, using GKE Hub View workloads in all clusters from GKE Hub Lab: Managing Hybrid Clusters using Kubernetes Engine Introduction to Service Mesh Understand service mesh, and problems it solves Understand Istio architecture and components Explain Istio on GKE add on and it's lifecycle, vs OSS Istio Understand request network traffic flow in a service mesh Create a GKE cluster, with a service mesh Configure a multi-service application with service mesh Enable external access using an ingress gateway Explain the multi-service example applications: Hipster Shop, and Bookinfo Lab: Installing Open Source Istio on Kubernetes Engine Lab: Installing the Istio on GKE Add-On with Kubernetes Engine Observing Services using Service Mesh Adapters Understand service mesh flexible adapter model Understand service mesh telemetry processing Explain Stackdriver configurations for logging and monitoring Compare telemetry defaults for cloud and on-premises environments Configure and view custom metrics using service mesh View cluster and service metrics with pre-configured dashboards Trace microservice calls with timing data using service mesh adapters Visualize and discover service attributes with service mesh Lab: Telemetry and Observability with Istio Managing Traffic Routing with Service Mesh Understand the service mesh abstract model for traffic management Understand service mesh service discovery and load balancing Review and compare traffic management use cases and configurations Understand ingress configuration using service mesh Visualize traffic routing with live generated requests Configure a service mesh gateway to allow access to services from outside the mesh Apply virtual services and destination rules for version-specific routing Route traffic based on application-layer configuration Shift traffic from one service version to another, with fine-grained control, like a canary deployment Lab: Managing Traffic Routing with Istio and Envoy Managing Policies and Security with Service Mesh Understand authentication and authorization in service mesh Explain mTLS flow for service to service communication Adopt mutual TLS authentication across the service mesh incrementally Enable end-user authentication for the frontend service Use service mesh access control policies to secure access to the frontend service Lab: Managing Policies and Security with Service Mesh Managing Policies using Anthos Config Management Understand the challenge of managing resources across multiple clusters Understand how a Git repository is as a configuration source of truth Explain the Anthos Config Management components, and object lifecycle Install and configure Anthos Config Management, operators, tools, and related Git repository Verify cluster configuration compliance and drift management Update workload configuration using repo changes Lab: Managing Policies in Kubernetes Engine using Anthos Config Configuring Anthos GKE for Multi-Cluster Operation Understand how multiple clusters work together using DNS, root CA, and service discovery Explain service mesh control-plane architectures for multi-cluster Configure a multi-service application using service mesh across multiple clusters with multiple control-planes Configure a multi-service application using service mesh across multiple clusters with a shared control-plane Configure service naming/discovery between clusters Review ServiceEntries for cross-cluster service discovery Migrate workload from a remote cluster to an Anthos GKE cluster Lab: Configuring GKE for Multi-Cluster Operation with Istio Lab: Configuring GKE for Shared Control Plane Multi-Cluster Operation

Duration 5 Days 30 CPD hours This course is intended for Audience for this course This course is designed for system administrators responsible for creating OpenShift Enterprise instances, deploying applications, creating process customizations, managing instances and projects. Prerequisites for this course Have taken Red Hat Enterprise Linux Administration I and II (RH124 and RH134), or equivalent Red Hat Enterprise Linux© system administration experience Be certified as a Red Hat Certified System Administrator (RHCSA), or equivalent Red Hat Enterprise Linux system administration experience Be certified as a Red Hat Certified Engineer (RHCE©) Overview Learn to install, configure, and manage OpenShift Enterprise by Red Hat instances - OpenShift Enterprise Administration (DO280) prepares the system administrator to install, configure, and manage OpenShift Enterprise by Red Hat© instances. OpenShift Enterprise, Red Hat's platform-as-a-service (PaaS) offering, provides pre-defined deployment environments for applications of all types through its use of container technology. This creates an environment that supports DevOps principles such as reduced time to market and continuous delivery. - In this course, students will learn how to install and configure an instance of OpenShift Enterprise, test the instance by deploying a real world application, and manage projects/applications through hands-on labs. - Course content summary - Container concepts - Configuring resources with the command line interface - Building a pod - Enabling services for a pod - Creating routes - Downloading and configuring images - Rolling back and activating deployments - Creating custom S2I images This course will empower you to install and administer the Red Hat© OpenShift© Container Platform, with hands-on, lab-based materials that show you how to install, configure, and manage OpenShift clusters and deploy sample applications to further understand how developers will use the platform. This course is based on Red Hat© Enterprise Linux© 7.5 and Openshift Container Platform 3.9. OpenShift is a containerized application platform that allows your enterprise to manage container deployments and scale your applications using Kubernetes. OpenShift provides predefined application environments and builds upon Kubernetes to provide support for DevOps principles such as reduced time to market, infrastructure-as-code, continuous integration (CI), and continuous delivery (CD). 1 - INTRODUCTION TO RED HAT OPENSHIFT ENTERPRISE Review features and architecture of OpenShift Enterprise. 2 - INSTALL OPENSHIFT ENTERPRISE Install OpenShift Enterprise and configure a master and node. 3 - EXECUTE COMMANDS Execute commands using the command line interface. 4 - BUILD APPLICATIONS Create, build, and deploy applications to an OpenShift Enterprise instance. 5 - PERSISTENT STORAGE Provision persistent storage and use it for the internal registry. 6 - BUILD APPLICATIONS WITH SOURCE-TO-IMAGE (S2I) Create and build applications with S2I and templates. 7 - MANAGE THE SYSTEM Use OpenShift Enterprise components to manage deployed applications. 8 - CUSTOMIZE OPENSHIFT ENTERPRISE Customize resources and processes used by OpenShift Enterprise. 9 - COMPREHENSIVE REVIEW Practice and demonstrate knowledge and skills learned in the course. 10 - NOTE: Course outline is subject to change with technology advances and as the nature of the underlying job evolves. For questions or confirmation on a specific objective or topic, please contact us. Additional course details: Nexus Humans Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) 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 Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) 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 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.