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Duration 2 Days 12 CPD hours This course is intended for This course is a must-have for the Business Analyst, Business Systems Analyst, Systems Analyst, and Requirements Engineer. The Business Sponsor and the Project Manager who are actively involved with specifying requirements for their project will also benefit from this workshop. Overview Describe the planning, techniques, and partnerships that are vital to the success of requirements elicitationIdentify and differentiate between the different types of requirements that need to be elicitedDescribe the importance of documenting business objectives and project scope before eliciting requirementsUtilize a context diagram to scope the requirementsUtilize a process, techniques, and templates for stakeholder identification and analysisApply industry best practices to common issues with Stakeholders during requirements elicitationPlan and conduct a good InterviewIntroduce standards in process modelingPlan and develop a prototype to elicit requirements In this interactive 2-day course, you will learn how to enhance and refine your elicitation skills. Working in small groups, you will practice new techniques and discuss strategies that your organization should be using to better define stakeholder needs. Day 1 Unit 1: Course Introduction Unit 2: Fundamentals of Requirements Elicitation Unit 3: Understanding the Project Objectives and Scope Unit 4: Identifying and Analyzing Your Stakeholders Unit 5: Interviewing Techniques Day 2 Unit 6: Facilitation Techniques Unit 7: Process Modeling Unit 8: Prototyping Unit 9: Document Analysis, Interface analysis, and Reverse Engineering Unit 10: Course Summary Additional course details: Nexus Humans BA26 - Requirements Elicitation 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 BA26 - Requirements Elicitation 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.

Duration 5 Days 30 CPD hours This course is intended for This class is designed for email digital marketers who manage the email channel for their organization. Whether you are new to Marketing Cloud or looking for tips on how to improve your existing customer journeys, this class is a great place to start. No prior knowledge of Marketing Cloud is needed. Overview When you complete this course, you will be able to: Explain compliance concepts to ensure optimal deliverability. Use tools within Marketing Cloud to uphold deliverability standards. Utilize Email Design best practices to ensure the best customer experience. Develop effective, relevant messages using Content Builder. Design and test different delivery methods and options when sending an email message. Design and execute customer journeys using automation tools within Marketing Cloud. Differentiate the use cases for different automation activities in Automation Studio and Journey Builder. Define fundamental data management and structure terminology. Use data segmentation tools to create targeted emails. Apply a simple data model concept to a real-world scenario. Define subscriber statuses, unsubscribe methods, and preferences. Analyze marketing campaigns using common KPIs. Solve a common marketing problem using troubleshooting guidance. Prioritize testing methods and tools to ensure quality control. Explain fundamental account and sending administration. Know where to go for more information, guidance, and support. Describe capabilities across the platform. Start your journey to becoming a Marketing Cloud Specialist. In this 5-day, expert-led class, you will learn how to build customer journeys within Marketing Cloud. Our team of Marketing Cloud pros will walk you through best practices related to executing, monitoring, and analyzing your journeys, arming you with the tools and know-how to design personalized journeys and engage with your customers in a whole new way. Course Outline Introduction to Salesforce Marketing Cloud Administration Subscriber and Data Management Email Message Design and Creation Message Testing, Delivery, and Email Marketing Best Practices Marketing Automation Analytics and Troubleshooting Summary

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators or network administrators Network professionals who have experience working with VMware NSX Advanced Load Balancer (Avi) and are responsible for troubleshooting and operating Application Delivery Controllers solutions Overview By the end of the course, you should be able to meet the following objectives: Become familiar with NSX Advanced Load Balancer (Avi) troubleshooting tools and steps to solve the problems. Establish and apply a structured troubleshooting approach and methodology Understand built-in mechanisms available for NSX Advanced Load Balancer (Avi) monitoring Identify, analyze, and troubleshoot problems related to the NSX Advanced Load Balancer infrastructure, including control and data plane components Identify, analyze, and troubleshoot problems related to application components such as Virtual Services, Pools, and related components This 3-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competence in operating and troubleshooting the VMware NSX© Advanced Load Balancer? (Avi) solutions. In this course, you are introduced to several operational, management, and troubleshooting tools. You will be presented with various types of technical problems, which you will identify, analyze, and solve through a systematic process. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Events and Alerts Describe NSX Advanced Load Balancer Events Describe and configure NSX Advanced Load Balancer Alerts Describe NSX Advanced Load Balancer monitoring capabilities leveraging SNMP, Syslog, and email Introduction to NSX Advanced Load Balancer Troubleshooting Explain NSX Advanced Load Balancer troubleshooting concepts Describe and leverage Virtual Service Traffic Logs Describe and leverage Virtual Service Security Insights Understand and utilize Health Score concepts Explain and leverage application metrics and analytics Explain and leverage packet capture and CLI utilities for application troubleshooting Leverage UI, CLI, and useful log files to perform control plane troubleshooting Infrastructure Troubleshooting Describe and perform general VMware Cloud Connector troubleshooting Describe and analyze VMware Cloud Connector state Leverage case studies to troubleshoot VMware Cloud Connector Describe and troubleshoot NSX-T Cloud Connector integration Leverage case studies to troubleshoot NSX-T Cloud Connector Describe and troubleshoot Linux Server Cloud Connector integration Describe and troubleshoot OpenStack Cloud Connector integration Leverage case studies to troubleshoot OpenStack Cloud Connector Describe and troubleshoot AWS and Azure Cloud Connector integrations Troubleshooting NSX Advanced Load Balancer Service Engines and Advanced Troubleshooting Explain general Service Engine infrastructure Explain and leverage analytics, health score, and metrics for Service Engine troubleshooting Explain and leverage Events and Alerts for Service Engine troubleshooting Leverage CLI for accessing Service Engine Analyze Service Engine logs offline with Tech Support utility and collecting core dumps Leverage CLI and useful log files for Service Engine Data Plane troubleshooting Leverage CLI to capture packets for advanced datapath analysis Monitoring NSX Advanced Load Balancer Explain and configure SNMP-based monitoring Explain and configure REST API-based monitoring Describe and leverage 3rd-party integration with monitoring tools like Splunk Leverage 3rd-party REST API monitoring extensions like Prometheus Describe and leverage VMware integrations like VMware vRealize© Network Insight? for monitoring Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware NSX Advanced Load Balancer: Troubleshooting and Operations [V20.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 NSX Advanced Load Balancer: Troubleshooting and Operations [V20.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 5 Days 30 CPD hours This course is intended for In order to be successful in this course you should have incoming hands-on experience with another programming language. This course is not for non-developers or new developers. Possible roles that may attend this course include: Software Developers: Professionals who have been working with other programming languages and want to expand their skillset by learning Java and its object-oriented features. Web Developers: Those who work on web applications and want to enhance their back-end development capabilities with Java. Mobile App Developers: Developers who wish to enter the world of Android app development, where Java is a widely used language for creating mobile applications. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how?it relates to OO programming and the Object Model Learn to use Java exception handling Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Become familiar with the concept of functional programming using Lambda Expressions Process large amounts of data using the Stream API introduced in Java 8 Discover the new Date/Time API Use the JDBC API for database access Work with annotations Take advantage of the Java tooling that is available with the programming environment being used in the class Java 8 Features: Lambda Expressions, Method and Constructor references, The Streams API, Collectors, The Optional class Geared for experienced developers, Basic Java Programming for Developers New to OO, this hands-on, workshop-style course will provide you with an immersive learning experience that will expand your skillset and open doors to new opportunities within the ever-growing technology landscape. Mastering Java and its powerful capabilities will provide you with the competitive edge you need to stand out in today's fast-paced development world. Working in a hands-on learning environment led by our expert coach, you?ll thoroughly explore the foundations of the Java platform, essential programming concepts, and advanced topics, ensuring you acquire a strong understanding of the language and its ecosystem. The object-oriented programming principles taught in this course promote code reusability and maintainability, enabling you to streamline development processes and reduce long-term costs. As you progress through the course, you will also gain familiarity with using an IDE, enhancing your development workflow and collaboration with other Java developers, enabling you to integrate seamlessly into new projects and teams. You?ll also gain practical experience in applying the concepts and techniques learned, solidifying your newly acquired skills and facilitating their direct application in real-world scenarios. You?ll exit this course empowered to create robust, scalable, and efficient Java-based applications that drive innovation and growth for your organization The Java Platform The Java Platform Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Explain the JDK?s file structure Use the command line compiler to compile a Java class Use the command line Java interpreter to run a Java application class The IntelliJ Paradigm Introduce the IntelliJ IDE The Basics of the IntelliJ interface IntelliJ Projects and Modules Creating and running Java applications Writing a Simple Class Write a Java class that does not explicitly extend another class Define instance variables for a Java class Create object instances Primitives vs Object References Implement a main method to create an instance of the defined class Adding Methods to the Class Write a class with accessor methods to read and write instance variables Write a constructor to initialize an instance with data Write a constructor that calls other constructors of the class to benefit from code reuse Use the this keyword to distinguish local variables from instance variables Object-Oriented Programming Real-World Objects Classes and Objects Object Behavior Methods and Messages Inheritance, Abstraction, and Polymorphism Encapsulation Inheritance Method Overriding Polymorphism Essential Java Programming Essential Java Programming Language Statements Arithmetic operators Operators to increment and decrement numbers Comparison operators Logical operators Return type of comparison and logical operators Use for loops Switch Expressions Switch Expressions and yield Using Strings and Text Blocks Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer,and StringBuilder Compact Strings Text Blocks Specializing in a Subclass Constructing a class that extends another class Implementing equals and toString Writing constructors that pass initialization data to parent constructor Using instanceof to verify type of an object reference Pattern matching for instanceof Overriding subclass methods Safely casting references to a more refined type Fields and Variables Discuss Block Scoping Rules Distinguish between instance variables and method variables within a method Explain the difference between the terms field and variable List the default values for instance variables Final and Static fields and methods Local Variable type inference Using Arrays Declaring an array reference Allocating an array Initializing the entries in an array Writing methods with a variable number of arguments Records Data Objects in Java Introduce records as carrier of immutable data Defining records Java Packages and Visibility Use the package keyword to define a class within a specific package Discuss levels of accessibility/visibility Using the import keyword to declare references to classes in a specific package Using the standard type naming conventions Visibility in the Java Modular System Correctly executing a Java application class The Java modular system Defining Modules Inheritance and Polymorphism Write a subclass with a method that overrides a method in the superclass Group objects by their common supertype Utilize polymorphism Cast a supertype reference to a valid subtype reference Use the final keyword on methods and classes to prevent overriding Interfaces and Abstract Classes Define supertype contracts using abstract classes Implement concrete classes based on abstract classes Define supertype contracts using interfaces Implement concrete classes based on interfaces Explain advantage of interfaces over abstract classes Explain advantage of abstract classes over interfaces Static, default and private methods in interfaces Sealed classes Introduce Sealed classes The sealed and permits modifiers Sealed Interfaces Exception Handling Introduction to Exception Handling Introduce the Exception architecture Defining a try/catch blocks Checked vs Unchecked exceptions Exceptions Defining your own application exceptions Automatic closure of resources Suppressed exceptions Handling multiple exceptions in one catch Helpful Nullpointers Enhanced try-with-resources Java Developer's Toolbox Developing applications Introduce the wrapper classes Explain Autoboxing and Unboxing Converting String representations of primitive numbers into their primitive types Defining Enumerations Using static imports Deprecating methods Advanced Java Programming Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls To Generics When Generics Should Be Used Lambda Expressions and Functional Interface Understanding the concept of functional programming Writing lambda expressions Understanding functional interfaces Collections Provide an overview of the Collection API Review the different collection implementations (Set, List and Queue) Explore how generics are used with collections Examine iterators for working with collections Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Bonus Topics: Time Permitting Streams Understanding the problem with collections in Java Thinking of program solutions in a declarative way Use the Stream API to process collections of data Understand the difference between intermediate and terminal stream operations Filtering elements from a Stream Finding element(s) within a Stream Collecting the elements from a Stream into a List takeWhile and dropWhile intermediate operations Collectors Using different ways to collect the items from a Stream Grouping elements within a stream Gathering statistics about numeric property of elements in a stream

Duration 3 Days 18 CPD hours This course is intended for This course is designed for operators and schedulers who perform duties that are related to batch workload automation. Overview In this course, you learn how to perform the following tasks:Explain the production terminology used with IBM Workload Scheduler and its production planning processMonitor production batch workload processesManage production batch workloadCreate and modify scheduling objectsSchedule new workloadsForecast future workloadsMigrate workload definitions from test to production environmentsCreate and maintain reports about production workloads This course provides professional report authors an opportunity to learn report building techniques using relational data models. Demonstrations and exercises will illustrate and reinforce key concepts during this learning opportunity. IBM Workload Scheduler Introduction About Workload Automation IBM workload automation offerings IBM Workload Scheduler terminology Workload Scheduler user interfaces Getting started with Application Lab Getting started with the Dynamic Workload Console Connecting the console to Workload Scheduler Getting started with the command-line interfaces Using the Application Lab Interface Using the processes status overview page Managing processes Using other Application Lab functions Monitoring Workload Scheduler Production Monitoring Workload Scheduler production by using queries Using the Workload Dashboard Monitoring system status and health Monitoring plan objects Using the What-if Analysis interface Monitoring the plan graphically Managing Workload Scheduler Production Managing the scheduling environment Managing scheduling objects in the plan Creating Scheduling Objects Using the Workload Designer Creating scheduling objects Creating variables and variable tables Creating prompts and resources Creating calendars Defining jobs Scheduling, Forecasting, and Migrating Workloads Creating job streams Applying jobs to job streams Setting time and date restrictions Using advanced scheduling options Creating job stream definitions by using composer Creating and using event rules Forecasting and previewing future dates Exporting and importing scheduling definitions Using Workload Application Templates Reporting with Workload Scheduler Using reporting features Using Common Reporting with Workload Scheduler Using the batch reporting utility Using the preformatted text-based report utilities

Duration 4 Days 24 CPD hours This course is intended for Risk professionals Business analysts Project managers Compliance professionals IT professionals Anyone whose work includes evaluating and mitigating risk Overview This boot camp prepares you to pass the ISACA CGEIT exam, which covers four domain areas designed to reflect the work performed by individuals who have a significant management, advisory or assurance role relating to the governance of IT. Domain 1: Governance of enterprise IT Domain 2: IT resources Domain 3: Benefits realization Domain 4: Risk optimization This CGEIT Boot Camp is designed for experienced IT governance personnel and those who have responsibilities for the stewardship of IT resources. You will learn how to effectively implement and manage governance across all areas of technology ? as well as align that technology with strategic enterprise goals. This training also explains the CGEIT examination process and helpsprepare you for your CGEIT exam by providing guidance and testing your exam readiness through sample questions. You?ll leave fully prepared to earn your CGEIT certification. Course Outline Domain 1: Governance of enterprise IT Domain 2: IT resources Domain 3: Benefits realization Domain 4: Risk optimization

Duration 2 Days 12 CPD hours This course is intended for Application developers who want to increase their understanding of Spring Security with hands-on experience and build secure Spring and Spring Boot applications. Overview By the end of the course, you should be able to meet the following objectives: Use Spring Security in Spring and Spring Boot applications Configure the Spring Security filter chain Protect HTTP endpoints with expression-based access control and the AuthorizationManager API Protect method execution Use different authentication mechanisms Handle passwords in an efficient way Integrate Spring Security with Junit 5 and MockMVC to test HTTP and method security Protect against common vulnerabilities and threats Understand what OAuth2 is Use and configure the Spring Authorization Server Implement a resource server and client This 2-day course offers hands-on experience with the major features of Spring Security, which includes configuration, authentication, authorization, password handling, testing, protecting against security threats, and the OAuth2 support to secure applications. On completion, participants will have a foundation for securing enterprise and microservices applications. Security Introduction Need for security Basic security concepts Common security vulnerabilities Spring Security Basics Introduction to Spring Security High-level architecture Overview of SecurityContext Spring Security with Spring Boot Customizing Authentication Building blocks for authentication Authentication mechanisms based on user name and password Other authentication mechanisms Authentication events Securing Web Applications Configuring authorization Using AccessDecisionsManager for authorization Using AuthorizationManager for authorization Bypassing security Method Security Method security architecture Declarative method security with annotations Security Testing Spring Security Testing Support Security mock annotations and meta-annotations Using MockMvc to test security Handling Passwords Password hashing Upgrading passwords (Optional) Protecting Against Common Vulnerabilities Hardening web applications with security headers Preventing cross-site request forgery Encrypting data in transit OAuth5 and OIDC Concepts Need for OAuth Overview of OAuth5 and OIDC OAuth5 grant types Types of tokens Spring Security OAuth5 support and OAuth5 login Spring Authorization Server Introduction to Authorization Server Spring Authorization Server endpoints Spring Authorization Server configuration Protecting and accessing resources with OAuth5 Resource server Using JWT tokens Using opaque tokens Configuring an OAuth5 client Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Spring Security 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 Spring Security 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 This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning 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 Deep Learning 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 5 Days 30 CPD hours This course is intended for Storage and virtual infrastructure consultants, solution architects, and administrators who are responsible for production support and administration of VMware vSAN. Overview By the end of the course, you should be able to meet the following objectives: Describe vSAN concepts Detail the underlying vSAN architecture and components Explain the key features and use cases for vSAN Identify requirements and planning considerations for vSAN clusters Explain the importance vSAN node hardware compatibility Describe the use of VMware vSphere Lifecycle Manager™ to automate driver and firmware installations Describe the different vSAN deployment options Explain how to configure vSAN fault domains Detail how to define and create a VM storage policy Discuss the impact of vSAN storage policy changes Detail vSAN resilience and data availability Describe vSAN storage space efficiency Explain how vSAN encryption works Identify requirements to configure the vSAN iSCSI target Detail VMware HCI Mesh™ technology and architecture Detail vSAN File Service architecture and configuration Explain the use cases of vSAN Direct Configuration™ Describe how to setup a stretched and a two-node vSAN cluster Discuss vSAN cluster backup methodology Describe vSAN maintenance mode and data evacuation options Define the steps to shut down a vSAN cluster for maintenance Explain how to use proactive tests to check the integrity of a vSAN cluster Use VMware Skyline Health™ for monitoring vSAN health During this five-day course, you will gain the knowledge, skills, and tools to plan and deploy a VMware vSAN? cluster. You will learn about managing and operating vSAN. This course focuses on building the required skills for common Day-2 vSAN administrator tasks such as vSAN node management, cluster maintenance, security operations, and advanced vSAN cluster operations. You will learn these skills through the completion of instructor-led activities and hands-on lab exercises. Course Introduction Introductions and course logistics Course objectives Introduction to vSAN Describe vSAN architecture Describe the vSAN software components: CLOM, DOM, LSOM, CMMDS, and RDT Identify vSAN objects and components Describe the advantages of object-based storage Describe the difference between All-Flash and Hybrid vSAN architecture Explain the key features and use cases for vSAN Discuss the vSAN integration and compatibility with other VMware technologies Planning a vSAN Cluster Identify requirements and planning considerations for vSAN clusters Apply vSAN cluster planning and deployment best practices Determine and plan for storage consumption by data growth and failure tolerance Design vSAN hosts for operational needs Identify vSAN networking features and requirements Describe ways of controlling traffic in a vSAN environment Recognize best practices for vSAN network configurations Deploying a vSAN Cluster Recognize the importance of hardware compatibility Ensure the compatibility of driver and firmware versioning Use tools to automate driver validation and installation Apply host hardware settings for optimum performance Use vSphere Lifecycle Manager to perform upgrades Deploy and configure a vSAN Cluster using the Cluster QuickStart wizard Manually configure a vSAN Cluster using VMware vSphere© Client? Explain and configure vSAN fault domains Using VMware vSphere© High Availability with vSAN Understand vSAN Cluster maintenance capabilities Describe the difference between implicit and explicit fault domains Create explicit fault domains vSAN Storage Policies Describe a vSAN object Describe how objects are split into components Explain the purpose of witness components Explain how vSAN stores large objects View object and component placement on the vSAN datastore Explain how storage policies work with vSAN Define and create a virtual machine storage policy Apply and modify virtual machine storage policies Change virtual machine storage policies dynamically Identify virtual machine storage policy compliance status vSAN Resilience and Data Availability Describe and configure the Object Repair Timer advanced option Plan disk replacement in a vSAN cluster Plan maintenance tasks to avoid vSAN object failures Recognize the importance of managing snapshot utilization in a vSAN cluster Configuring vSAN Storage Space Efficiency Discuss deduplication and compression techniques Understand deduplication and compression overhead Discuss compression only mode Configure erasure coding Configure swap object thin provisioning Discuss reclaiming storage space with SCSI UNMAP Configure TRIM/UNMAP vSAN Security Operations Identify differences between VM encryption and vSAN encryption Perform ongoing operations to maintain data security Describe the workflow of data-in transit encryption Identify the steps involved in replacing Key Management Server Introduction to Advanced vSAN Configurations Identify requirements to configure vSAN iSCSI target Detail VMware HCI Mesh technology and architecture Detail vSAN File Service architecture and configuration Explain the use cases of vSAN Direct Configuration vSAN Cluster Maintenance Perform typical vSAN maintenance operations Describe vSAN maintenance modes and data evacuation options Assess the impact on cluster objects of entering maintenance mode Determine the specific data actions required after exiting maintenance mode Define the steps to shut down and reboot hosts and vSAN clusters Use best practices for boot devices Replace vSAN nodes vSAN Stretched and Two Node Clusters Describe the architecture and uses case for stretched clusters Detail the deployment and replacement of a vSAN witness node Describe the architecture and uses case for two-node clusters Explain the benefits of vSphere HA and vSphere Site Recovery Manager in a vSAN stretched cluster Explain storage policies for vSAN stretched cluster vSAN Cluster Monitoring Describe how the Customer Experience Improvement Program (CEIP) enables VMware to improve products and services Use VMware Skyline Health for monitoring vSAN cluster health Manage alerts, alarms, and notifications related to vSAN in VMware vSphere© Client? Create and configure custom alarms to trigger vSAN health issues Use IOInsight metrics for monitoring vSAN performance Analyse vsantop performance metrics Use a vSAN proactive test to detect and diagnose cluster issues Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSAN: Install, Configure, Manage [V7] 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 vSAN: Install, Configure, Manage [V7] 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.