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Duration 5 Days 30 CPD hours This course is intended for This class is designed for experienced BizTalk Server Developers who have at least one year of hands-on experience developing BizTalk Server applications. Overview In this 5-day course, you will learn how to apply best practices and design patterns to build smarter BizTalk Server applications. Furthermore, this course provides extensive coverage of BizTalk Server's extensibility, including such topics as: custom functoids, custom pipeline components, and invoking external .NET methods. This course is designed specifically for experienced BizTalk Server developers and focuses on best practices & pattern-based design while pulling back the curtain on some of BizTalk Server's eccentricities. Review of BizTalk Server Fundamentals The BizTalk Server Architecture Inner Workings of the Messaging Engine Messaging Engine Deep Dive Two-way Messaging Without Orchestrations Designing and Testing Schemas Schema Design Enabling Unit Testing for BizTalk Projects Data Translation and Transformation Custom Data Transformation Creating Custom Pipeline Components Working with Message Interchanges Debatching Message Interchanges Advanced Concepts of WCF Adapters Connecting to External Systems Using WCF LOB Adapters in BizTalk Server Publishing and Consuming WCF and RESTful Services Overview of Service Integration Using WCF Implementing WCF Services Preprocessing Messages with IIS Modules Consuming Services Advanced Orchestration Communication Patterns Orchestration Engine Deep Dive Splitting and Aggregating Messages using Orchestrations Orchestration Communication Bridging the Synchronous/Asynchronous Gap Across Multiple Channels Correlating Messages in Orchestration Instances Building Convoy Orchestrations Handling Orchestration Faults and Exceptions Exception Handling in Orchestrations Implementing Transactions and Compensation Creating Transactional Processes Designing Custom Tracking Models for BizTalk Applications Introduction to Business Activity Monitoring Enabling Business Activity Monitoring Extending BAM Beyond BizTalk Building Declarative Logic Using the Business Rules Engine Concepts of Declarative Logic Fundamentals of BizTalk BRE Integrating Policies with BizTalk Advanced Concepts of the Business Rules Engine Advanced Business Rule Concepts Working with Advanced Facts Integrating Across Business Boundaries Using Parties, Roles, and EDI Port Binding Option Review Role-Based Integration What is EDI? Enabling EDI-Based Messaging

Duration 3 Days 18 CPD hours This course is intended for Operators, administrators, and architects for VMware Horizon who are responsible for the creation, maintenance, and delivery of remote and virtual desktop services Overview By the end of the course, you should be able to meet the following objectives: Describe the features, functions, and architecture of App Volumes Create and deliver application packages in App Volumes Deliver App Volumes published applications to virtual desktops and on-demand, using Horizon Run the App Volumes Application Capture Command-Line Program using appcapture.exe Perform advanced configuration of App Volumes Scale App Volumes to multiple locations and sites Describe the features, functions, and architecture of VMware Dynamic Environment Manager Manage application configurations, user environment settings, and personalization settings using VMware Dynamic Environment Manager Create predefined configurations for applications by using the Application Profiler Create predefined configurations for applications by using the Application Profiler Manage multiple environments using VMware Dynamic Environment Manager. Enable and synchronize the offline use of VMware Dynamic Environment Manager by using SyncTool Using VMware Horizon Smart Policies on the VMware Horizon platform This three-day course builds your skills in application management with VMware App Volumes? and VMware Dynamic Environment Manager?. You learn how to use App Volumes to deliver applications and data to desktops and users in seconds and at scale. You gain skills in managing application life cycles across installation, update, and replacement. You also learn how to use VMware Dynamic Environment Manager to provide personalization and dynamic policy configuration across virtual, physical, and cloud-based environments to simplify end-user profile management. Course Introduction Introductions and course logistics Course objectives Overview of App Volumes Explain features and benefits of App Volumes Identify benefits of VMware ThinApp© Identify App Volumes components and architecture Manage application management stages using App Volumes. Working with Application Packages Differentiate between Application, Package and Program Create an Application Package Assign an Application to an entity Use markers to assign the new version of an Application Package Differentiate between Classic and On-Demand delivery of applications Update an Application with a new Package Published Applications Identify the benefits of delivering Published Applications On-Demand List the steps and prerequisites for creating Published Applications on Demand Integrate Horizon Connection Server and App Volumes Manager Associate App Volumes Manager with an automated farm Add Application Pools from App Volumes Manager Advanced App Volumes Configuration Perform advanced configuration of App Volumes Scale App Volumes to multiple locations and sites Run the App Volumes Application Capture Command-Line Program using appcapture.exe Overview of VMware Dynamic Environment Manager Explain features and benefits of Dynamic Environment Manager Identify the components of Dynamic Environment Manager architecture Differentiate between user profile scenarios Management Console User Interface Configure Personalization settings Create Condition sets Perform Application migration Configure User environment settings Advanced Dynamic Environment Manager Configuration Scale Dynamic Environment Manager to multiple locations and sites Use Silos Run the App Volumes Application Capture Command-Line Program using appcapture.exe Application Configuration Management Predefined and user-customized application settings Using Application Profiler Privilege Elevation SyncTool Identify the features of SyncTool Implement SyncTool VMware Horizon Smart Policies Identify the scope of Horizon Smart Policies Configure Horizon Smart Policies settings Define Smart Policies Conditions

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 3 Days 18 CPD hours This course is intended for Channel Partner/Reseller Customer Employee Overview Upon completing this course, the learner should be able to meet these overall objectives: Provide a comprehensive overview of Cisco Unified Intelligence Center. Demonstrate how to install, administer, and provide security for the Cisco Unified Intelligence Center solution. Describe reporting concepts and capabilities and features of Cisco Unified Intelligence Center reports. Provide a detailed description of how custom reports from normal data sources (Cisco Unified CCE and Cisco Unified CVP) and new data sources can be created to meet specific customer requirements. Deploying Cisco Unified Intelligence Center (DUIC) 1.0 is a three-day ILT course. Cisco Unified Intelligence Center 8.0.4 is a comprehensive, end-to-end reporting solution, designed to make the task of creating reports and managing disparate data sources easier on the customer and, at the same time, present a consistent user interface and a common tool to access the varied data across multiple Cisco product families. Course Outline Module 1: Cisco Unified Intelligence Center Overview. Module 2: Cisco Unified Intelligence Center Installation, Administration, and Security. Module 3: Cisco Unified Intelligence Center Reports. Module 4: Cisco Unified Intelligence Center Custom Reporting Additional course details: Nexus Humans Cisco Deploying Cisco Unified Intelligence Center v1.1 (DUIC) 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 Deploying Cisco Unified Intelligence Center v1.1 (DUIC) 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 The primary audience for this course is as follows: Cloud solution architects Cloud administrators Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview After you complete this course the learner will be able to meet these overall objectives: Describe what clouds are supported and how to configure clouds for Cost Optimizer Examine the Cost Optimizer snapshots of costs incurred by the various clouds installed for an organization CLDCO, Mulitcloud Cost Optimization with Cisco CloudCenter Suite is a 1-day course that teaches you how the reporting and analysis of consumption the cost optimizer provides, functions within a Cisco© CloudCenter Suite. The cost optimizer works together with two other primary mechanisms: a workload manager that helps users deploy applications and manage governance policies, and an action orchestrator that provides seamless integration and workflow automation. Through lessons and hands-on experiences, you will learn the functionality of the CloudCenter cost optimizer.This course will help you:Acquire the advanced skills and techniques using the CloudCenter Suite for a consistent experience across all environments, whether you plan to deploy in the cloud or on-premisesLearn how to use the tools of cost management and workload optimization by leveraging the functionality of the entire CloudCenter suite Implementing Cisco CloudCenter Suite Cost Optimizer Cisco CloudCenter Suite Cost Optimizer Examining Cost Optimizer Inventory, Reports, Rightsizing, and Troubleshooting Configure Cost and Inventory Reports in the User Interface Additional course details: Nexus Humans Cisco Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) 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 Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) 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 primary audience for this course is as follows: System engineers Network engineers Technical architects Technical support engineers Cisco integrators and partners Overview Upon successful completion of this course, students will be able to meet these overall objectives: Describe Cisco ISE policies and authentication and authorization process Understand different AAA protocols Understand how Cisco ISE fits into Cisco DNA Center architecture Provide configuration examples of Cisco ISE and TrustSec solutions Describe Cisco ISE integration with Cisco DNA Center and policy enforcement using Security Groups Provide configuration examples for wired, wireless, and VPN network access Understand how inline tagging and SGT Exchange Protocol (SXP) works This course shows you how to deploy the Cisco© Identity Services Engine (ISE) to support the Software-Defined Access (SD-Access) solution within your enterprise networks. You will gain an understanding of how Cisco ISE is utilized by the SD-Access solution to provide security policies across the organization. You will learn Cisco ISE fundamentals and get hands-on practice configuring ISE, policies, AAA client configuration, VPN access, integration, wireless guest access, and more. Cisco ISE Overview Exploring the Cisco Identity Services Engine Examining AAA protocols Examining Authentication Examining Authorization Cisco ISE Guest Access Examining Guest Portal Types Examining Guest User Types Examining AAA Policies for Guest Access Cisco ISE and SD-Access Exploring Cisco SD-Access Examining Cisco ISE for SD-Access Cisco ISE SGT Exchange Protocol SD-Access Fabric and Host Provisioning Security Group Exchange Protocol Additional course details: Nexus Humans Cisco Configuring Cisco ISE Essentials for SD- Access v1.0 (ISESDA) 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 Configuring Cisco ISE Essentials for SD- Access v1.0 (ISESDA) 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 0.5 Days 3 CPD hours This course is intended for This course is intended for: Line of Business (LoB) owners, IT leaders, and executives Overview In this course, you will learn to: Explain the role of information technology (IT) in an organization for business transformation Explain the customer value proposition for using the cloud across industries Define key characteristics of cloud computing Explain the cloud business model Identify key security practices of cloud computing Frame the cloud business value using the Cloud Value Framework In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies meet business objectives. It explores the advantages and possibilities of cloud computing. It also introduces addresses concepts such as security and compliance to help facilitate better discussions with line of business (LOB) professionals, information technology (IT) LoB, IT leaders, and executives. Module 1: Course Introduction Course Introduction Module 2: Information Technology for Business Transformation Role of IT in an organization for business transformation Brief history of IT Legacy approach to IT What drives customers to move from traditional infrastructure to the cloud Module 3: Cloud Computing Define cloud computing Key characteristics of cloud technology The cloud business model Key security practices within the cloud Module 4: Business Value of the Cloud The customer value proposition Identify who is using cloud computing Industry trends Customer examples Module 5: The Cloud Value Framework Introduction to the Cloud Value Framework Cost Savings Staff Productivity Operational Resilience Business Agility Module 6: Business Value Activity Business Value Activity Additional course details: Nexus Humans AWS Cloud Essentials for Business Leaders 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 AWS Cloud Essentials for Business Leaders 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 Operators and application owners who are responsible for deploying and managing policies for multiple Kubernetes clusters across on-premises and public cloud environments. Overview By the end of the course, you should be able to meet the following objectives: Describe the VMware Tanzu Mission Control architecture Configure user and group access Create access, image registry, network, security, quota, and custom policies Connect your on-premises vSphere with Tanzu Supervisor cluster to VMware Tanzu Mission Control Create, manage, and backup Tanzu Kubernetes clusters Perform cluster inspections Monitor and secure Kubernetes environments During this two-day course, you focus on using VMware Tanzu© Mission Control? to provision and manage Kubernetes clusters. The course covers how to apply access, image registry, network, security, quota, and custom policies to Kubernetes environments. For cluster provisioning and management, the course focuses on deploying, upgrading, backing up and monitoring Kubernetes clusters on VMware vSphere© with Tanzu. Given the abstractions of VMware Tanzu Mission Control, the learnings should be transferrable to public cloud. Introducing VMware Tanzu Mission Control VMware Tanzu Mission Control Accessing VMware Tanzu Mission Control VMware Cloud? services access control VMware Tanzu Mission Control architecture Cluster Management Attached clusters Management clusters Provisioned clusters Cluster inspections Data protection VMware Tanzu© Observability? by Wavefront VMware Tanzu© Service Mesh? Policy Management Policy management Access policies Image registry policies Network policies Security policies Quota policies Custom policies Policy insights Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Tanzu Mission Control: Management and Operations 2022 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 Tanzu Mission Control: Management and Operations 2022 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.