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Duration 5 Days 30 CPD hours This course is intended for Network, systems, and consulting systems engineers Network designers, administrators, and managers Overview Upon completing this course, students will be able to meet these objectives: Describe the differences between the Cisco IOS and NX-OS operating systems. Describe the features and functionality of the Cisco NX-OS. Describe how the Cisco NX-OS is used for functionality specific to different Cisco Nexus switching platforms, such as the 7000-series, 5000-series, and 1000-series switches. Understand basic and advanced configurations of the Cisco Nexus 7000-series, 5000-series, and 1000-series switches using the NX-OS. Understand basic and advanced configurations of the Cisco Virtual Security Gateway. Understand troubleshooting techniques for the Cisco Nexus 7000-series, 5000-series, and 1000-series switches using the NX-OS. This course is designed for network administrators who are migrating from a traditional Cisco IOS environment to routing and switching platforms that use the Nexus Operating System (NX-OS). The Cisco NX-OS Introduction to the Cisco NX-OS Operational Differences between the Cisco IOS and NX-OS Basic Configuration of Cisco Nexus Switches using NX-OS Initial Configuration of the Cisco Nexus switches Configuring Basic Layer 2 Features using the NX-OS Basic Layer 3 Features using the NX-OS Advanced Configuration of Cisco Nexus Switches using NX-OS Advanced Layer 2 Features of Cisco Nexus switches Advanced Layer 3 Features of Cisco Nexus switches Integrating the Nexus 1000v with the VMware vCenter Server Configuring Cisco NX-OS on the Virtual Security Gateway Troubleshooting Cisco NX-OS Configuration Issues Understanding High Availability (HA) Feature of the Cisco NX-OS Basic Troubleshooting Techniques Advanced Troubleshooting Techniques Additional course details: Nexus Humans Cisco NX-OS for IOS Administrators v2.0 (DCNXA) 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 Cisco NX-OS for IOS Administrators v2.0 (DCNXA) 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 The primary audience for this course is as follows: IT Staff and Managers Network and systems personnel and engineers Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment. This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics. Overview Following completion of this course, students will understand, Install, Configure, monitor, and Troubleshoot the following: Navigate and Configure the dashboard Add MX/MR/MS/MV devices to the Dashboard Understand and Configure Configuration Templates Understand and Configure Group Policies Manage/Configure/Integrate Users and Radius Policies Configure, Monitor, and Troubleshoot MX Firewalls Troubleshoot devices and Connectivity This 3-day Cisco course provide students with the skills to configure, optimize, and troubleshoot a Cisco Meraki solution. Students will learn how to install and optimize Meraki MX Firewalls. Students will also learn how to configure the Meraki Dashboard Students will troubleshoot and configure the Meraki environment and learn how to diagnose and resolve user and Network issues that may arise. Introduction to Meraki The Meraki Mission Cisco Meraki: Bringing the Cloud to Enterprise Networks Cloud-Managed Networking Architecture Benefits of a Cloud-Based Solution The Meraki Full Stack: New and Unique Value Proposition Meraki Deployment ? How it works Why Customers Choose Meraki Meraki MS Switches Overview Meraki MX Security Appliances Overview Meraki SD-WAN Overview Meraki MR Wireless Access Points Overview Cisco Meraki Systems Manager Overview Cisco Meraki MV Vision Security Cameras Overview Meraki API Overview Meraki Licensing Enterprise Support Cisco Meraki Documentation Cloud Management with the Meraki Dashboard The Meraki Dashboard Dashboard: Organizational Structure Out-of-band Cloud Management Loss of Connectivity to the Cisco Meraki Cloud Meraki Dashboard Logins Create Dashboard Accounts and Organization MSP Logins - Manage Multiple Organizations Modify an Organization View Organizations Health Meraki Dashboard Best Practices Dashboard Search Meraki Help Organizational Wide Settings Configure Monitor Create and Manage Configuration Templates Network-Wide Settings Configure Meraki MX Security Benefits of a Cloud Managed Security Solution Threat Management Solution Advanced Security Licenses Reliable, Cost Effective Connectivity with Meraki SD-WAN Site-to-Site VPN (Auto VPN) High Availability and Path Redundancy Application-Aware Intelligent Path Control Traffic Monitoring and Analytics Integrating Active Directory Cisco Meraki MX Models and Features Configuring the Local Status Page Adding Appliance to Network Device Configuration Configuring the Warm Spare Feature Device Tags & Notes Configuring Addressing & VLANs DHCP Server Configuration and Options Meraki Firewall Configuration Meraki Site-to-Site VPN One Arm VPN Concentrator Configuration Meraki Client VPN Meraki Active Directory Integration Meraki Access Control Meraki Splash Page Configuration Configuring Access Policies Teleworker VPN/L3 Roaming

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 1 Days 6 CPD hours This course is intended for Software developers, system administrators, and IT professionals who are focused on Microsoft Windows Overview Configuring Microsoft Windows and Microsoft SQL Server in Google Compute Engine. Deploying ASP.NET MVC applications to Google Compute Engine. Deploying .NET Core applications to Google Compute Engine, Google Compute Engine, and Google Container Engine Learn how to create Windows virtual machines on Google Cloud so that you can deploy and run Microsoft Windows applications. In this course, you'll learn how to run SQL Server in Compute Engine, how to deploy instances across Google Cloud zones, and how to get more out of ASP.NET on Compute Engine, Google Container Engine, and App Engine. Introduction to Google Cloud Platform Scope and structure of GCP. Options for Windows deployment on GCP. GCP interfaces. Windows Workloads on Google Compute Engine Google Compute Engine virtual machine options. Integrating Active Directory with Google Compute Engine virtual machines. Options for running SQL Server in Google Compute Engine. Configuring SQL Server for high availability. Developing ASP.NET MVC applications Model-view-controller structure. Using Microsoft Visual Studio?s Web Project template to develop in ASP.NET. Deploying applications to Microsoft Internet Information Server (IIS) in GCE. Configuring Resilient Workloads Deploying instances across GCP zones. Using instance groups to create pools of virtual machines. Load balancing Windows applications. Delivering Next-Generation ASP.NET Core on GCP Understanding .NET Core and EF Core. Options for deploying ASP.NET Core applications on Google Cloud Platform. Deploying ASP.NET Core applications on Google Compute Engine. Deploying ASP.NET Core applications on Google Container Engine. Deploying ASP.NET Core applications on Google App Engine. Additional course details: Nexus Humans Develop and Deploy Windows Applications on Google Cloud Platform training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Develop and Deploy Windows Applications on Google Cloud Platform course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 5 Days 30 CPD hours This course is intended for This basic course is for IT personnel with a theoretical background of z/OS. Overview Review the main concepts of z/OS Log on to TSO and start ISPF/PDF Navigate through ISPF/PDF dialogs and use the basic ISPF/PDF functions and the ISPF Editor Use ISPF/PDF to allocate data sets and edit data sets (including hierarchical file system (HFS) files) via the ISPF Editor primary and line commands Use ISPF to create and manipulate (copy, rename, delete, list, sort and merge) data sets Identify security considerations for Multiple Virtual Storage (MVS) data sets and HFS files Describe and use TSO/E commands Perform simple modifications to existing ISPF/PDF panels Invoke a REXX exec and TSO CLIST Tailor existing JCL and submit batch jobs Review job status and job output using SDSF Invoke UNIX processes Manipulate HFS directories and file systems using the UNIX System Services ISHELL This course is designed to teach students the fundamental practical skills to navigate and work in a z/OS environment. This includes the use of ISPF/PDF dialogs, TSO/E commands, JCL, UNIX System Services shell, and BookManager. Review of the z/Architecture and z/OS An Introduction to ISPF, ISPF/PDF, and RACF System familiarization Working with ISPF/PDF (Part 1 & 2) Allocate new data sets ISPF editor primary commands ISPF editor line command Copy/move/rename/delete data sets and members Data set lists Working with TSO/E Using TSO/E commands Working with JCL Submit a job JCL exercises Working with UNIX System Services Procedures ISHELL and hierarchical file system Additional course details: Nexus Humans ES10 IBM Fundamental System Skills in z/OS 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 ES10 IBM Fundamental System Skills in z/OS 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 This course is intended for Ethical Hackers, Penetration Testers, Network Server Administrators, Firewall Administrators, Security Testers, System Administrators and Risk Assessment Professionals, Cybersecurity Forensic Analyst, Cyberthreat Analyst, Cloud Security, Analyst Information Security Consultant, Application Security Analyst, Cybersecurity Assurance Engineer, Security Operations Center (SOC) Analyst, Technical Operations Network Engineer, Information Security Engineer, Network Security Penetration Tester, Network Security Engineer, Information Security Architect. Overview Upon successful completion of this course, students will master their Penetration Testing skills, perform the repeatable methodology, become committed to the code of ethics, and present analyzed results through structured reports. The main course outcomes include: 100% mapped with the NICE framework. Maps to the job role of a Penetration Tester and security analyst, based on major job portals. 100% methodology-based Penetration Testing program. Provides strong reporting writing guidance. Blended with both manual and automated Penetration Testing approaches. Gives a real-world experience through an Advanced Penetration Testing Range. Designed based on the most common Penetration Testing services offered by the best service providers in the market. Offers standard templates that can help during a Penetration test. This is a multidisciplinary course with extensive hands-on training in a wide range of crucial skills, including advanced Windows attacks, Internet of Things (IoT) and Operational Technology (OT) systems, filtered network bypass techniques, exploit writing, single and double pivoting, advanced privilege escalation, and binary exploitation. Course Outline Introduction to Penetration Testing Penetration Testing Scoping and Engagement Open Source Intelligence (OSINT) Social Engineering Penetration Testing Network Penetration Testing ? External Network Penetration Testing ? Internal Network Penetration Testing - Perimeter Devices Web Application Penetration Testing Wireless Penetration Testing IoT Penetration Testing OT/SCADA Penetration Testing Cloud Penetration Testing Binary Analysis and Exploitation Report Writing and Post-Testing Actions Additional course details: Nexus Humans Certified Penetration Testing Professional (CPENT) 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 Certified Penetration Testing Professional (CPENT) 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 2 Days 12 CPD hours This course is intended for The course is targeted at professionals who have never worked with Microsoft 365 before, or who have yet to move beyond its basic functions. The target audience typically includes individuals, professionals, and organizations who are looking to improve their productivity, collaboration, and communication using the suite of applications and services provided by Microsoft 365. This could include office workers, project managers, IT professionals, and small to large-scale businesses who want to maximize the benefits of cloud-based solutions for their daily operations.  Overview Upon successfully completing this course, students will have confidence in using the Microsoft 365 applications. Students will increase their work productivity and decrease time on completing tasks. In this course, students will learn how to use different tools of Microsoft 365 for better online collaboration, including OneDrive, SharePoint, Teams, Excel, Outlook, Word, and PowerPoint. First Steps in Office 365 The Difference Between Office 365 and Microsoft 365 Pros and cons of Microsoft 365 First Steps on mobile devices OneDrive Introduction - What is Microsoft OneDrive? How To Access Microsoft OneDrive? Upload Files Share Files Sync Files Recycle Bin Using OneDrive How To Access Onedrive On Phone? Teams - Simplify Collaboration within Companies Discover new ways to collaborate and communicate An introduction to your central place in Office 365 How to launch and install Teams The Interface of Microsoft Teams Use the Teams window to structure your organization Use Channels to structure the Teams window Use Tabs to access tools and information Communicate with others via Chat Keep track of activities Meetings, video conferencing and screen sharing Share files effectively Manage teams and permissions for organizational structuring Use Teams effectively on mobile devices Final remarks SharePoint Sites Introduction First Steps Document Library - First Steps Document Library - Set and Manage Alerts Document Library - Understanding Versioning Sync Libraries Share a Site Picture Library Lists Calendar Tasks Discussion Board Outlook First Steps in Mail Improved Search Function Work with Folders Settings Working with the Mail App Calendar People Tasks Excel Online Introduction Open and Edit an Excel Online Workbook Limitations of Excel Online Create a New Workbook with Excel Online Edit a Workbook Simultaneously with another Person Working with the Excel AppUse Excel effectively on mobile devices PowerPoint Online Introduction Open a PowerPoint Online Presentation Edit a Presentation Online Limitations of PowerPoint Online Create a Presentation with PowerPoint Online Working with the PowerPoint App Use Power Point effectively on mobile devices Word Online Introduction Open and Edit a Word Document Online Limitations of Word Online Create a New Document Edit a Document Simultaneously Working with the Word App

Duration 1 Days 6 CPD hours This course is intended for This course is designed for business leaders and decision makers, including C-level executives, project and product managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who have a vested interest in the representation of ethical values in technology solutions. Other individuals who want to know more about data ethics are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus DEBIZ™ (Exam DEB-110) credential. The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we train them to apply ethical principles as they learn from decisions they make? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology. Introduction to Data Ethics Defining Data Ethics The Case for Data Ethics Identifying Ethical Issues Improving Ethical Data Practices Ethical Principles Ethical Frameworks Data Privacy Accountability Transparency and Explainability Human-Centered Values and Fairness Inclusive Growth, Sustainable Development, and Well-Being Applying Ethical Principles to Emerging Technology Improving Ethical Data Practices Sources of Ethical Risk Mitigating Bias Mitigating Discrimination Safety and Security Mitigating Negative Outputs Data Surveillance Assessing Risk Ethical Risks in sharing data Applying professional critical judgement Business Considerations Data Legislation Impact of Social and Behavioral Effects Trustworthiness Impact on Business Reputation Organizational Values and the Data Value Chain Building a Data Ethics Culture/Code of Ethics Balancing organizational goals with Ethical Practice Additional course details: Nexus Humans CertNexus Data Ethics for Business Professionals (DEBIZ) 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 CertNexus Data Ethics for Business Professionals (DEBIZ) 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 This intermediate course is designed for experienced Integration Specialists and Senior-Level Developers with experience in application development, messaging middleware applications, and transport protocols such as HTTP and FTP. Overview Describe the features and uses of the IBM Integration BusDevelop, deploy, and test message flow applicationsGenerate message flow applications from predefined patternsUse IBM Integration Bus problem determination aids to diagnose and solve development and runtime errorsDescribe the function and appropriate use of IBM Integration Bus processing nodesWrite basic Extended Structured Query Language and Java programs to transform dataUse the IBM Graphical Data Mapping editor to transform dataDefine, use, and test simple XML and Data Format Description Language (DFDL) data modelsDescribe supported transport protocols and how to call them in message flows This course teaches you how to use IBM Integration Bus to develop, deploy, and support message flow applications. Students will learn how to construct applications to transport and transform data. Course Outline Course introduction Introduction to IBM Integration Bus Application development fundamentals Exercise: Importing and testing a message flow Creating message flow applications Exercise: Creating a message flow application Connecting to IBM MQ Exercise: Connecting to IBM MQ Controlling the flow of messages Exercise: Adding flow control to a message flow application Modeling the data Exercise: Creating a DFDL model Processing file data Exercise: Processing file data Using problem determination tools and help resources Exercise: Using problem determination tools Exercise: Implementing explicit error handling Mapping messages with the Graphical Data Mapping editor Referencing a database in a message flow application Exercise: Referencing a database in a map Using Compute nodes to transform messages Exercise: Transforming data by using the Compute and JavaCompute nodes Processing JMS, HTTP, and web service messages Preparing for production Exercise: Creating a runtime-aware message flow Course summary Additional course details: Nexus Humans WM666 IBM Integration Bus V10 Application Development I 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 WM666 IBM Integration Bus V10 Application Development I 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.