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Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is individuals who administer and maintain SQL Server databases. These individuals perform database administration and maintenance as their primary area of responsibility, or work in environments where databases play a key role in their primary job. The secondary audiences for this course are individuals who develop applications that deliver content from SQL Server databases. Overview After completing this course, you will be able to: Authenticate and authorize users Assign server and database roles Authorize users to access resources Use encryption and auditing features to protect data Describe recovery models and backup strategies Backup and Restore SQL Server databases Automate database management Configure security for the SQL Server agent Manage alerts and notifications Managing SQL Server using PowerShell Trace access to SQL Server Monitor a SQL Server infrastructure Troubleshoot a SQL Server infrastructure Import and export data This course will provide training in how to administer and maintain SQL Server, Azure SQL Database and other cloud-based SQL Server databases. IT professionals who work in environments where databases play a key role in their job will find this material useful. By using demonstrations and hands-on lab exercises, students will learn to carry out these important tasks. This course covers content that was in retired Microsoft Course 20764: Administering a SQL Database Infrastructure. 1 - Creating advanced functions Lesson 1: Converting a command into an advanced function Lesson 2: Creating a script module Lesson 3: Defining parameter attributes and input validation Lesson 4: Writing functions that accept pipeline input Lesson 5: Producing complex pipeline output Lesson 6: Using comment-based Help Lesson 7: Using Whatif and Confirm parameters 2 - Using Microsoft .NET Framework and REST API in Windows PowerShell Lesson 1: Using .NET Framework in PowerShell Lesson 2: Using REST API in PowerShell 3 - Writing controller scripts Lesson 1: Understanding controller scripts Lesson 2: Writing controller scripts with a user interface Lesson 3: Writing controller scripts that create reports 4 - Handling script errors Lesson 1: Understanding error handling Lesson 2: Handling errors in a script 5 - Using XML, JSON, and custom-formatted data Lesson 1: Working with XML formatted data Lesson 2: Working with JSON formatted data Lesson 3: Working with custom-formatted data 6 - Enhancing server management with Desired State Configuration and Just Enough Administration Lesson 1: Implementing Desired State Configuration Lesson 2: Implementing Just Enough Administration 7 - Analyzing and debugging scripts Lesson 1: Debugging in Windows PowerShell Lesson 2: Analyzing and debugging an existing script 8 - Understanding Windows PowerShell Workflow Lesson 1: Understanding Windows PowerShell Workflows Lesson 2: Running Windows PowerShell Workflows

Duration 2 Days 12 CPD hours This course is intended for Network analysts Network investigators Cisco integrators and partners Overview After taking this course, you should be able to: Describe the stages of the network attack lifecycle and identify ITD solution platform placement based on a given stage Detail how to locate and mitigate email malware attacks Describe email phishing attacks and the steps taken to locate and mitigate them on the network Identify and mitigate data exfiltration threats on the network Identify malware threats on the network and mitigate those threats after investigation The Cisco Integrated Threat Defense Investigation and Mitigation (SECUR202) v1.0 course shows you how to identify, isolate, and mitigate network threats using the Cisco© Integrated Threat Defense solution platform. Through expert instruction and lab-based scenarios, you will be introduced to network threat investigation, and learn how to identify relationships between Cisco products and the stages of the attack lifecycle. This course is the second in a pair of courses (SECUR201) covering the Cisco Integrated Threat Defense (ITD) solution. Network Threat Investigation Introduction Network Attack Introduction Hunting Network Threats in the Enterprise Investigation and Mitigation of Email Malware Threats Examining Email Malware Threats Investigating and Verifying Email Malware Threat Mitigation Investigation and Mitigation of Email Phishing Threats Examining Email Phishing Attacks Configuring Cisco Email Security Appliance (ESA) for URL and Content Filtering Investigating and Verifying Email Phishing Threat Mitigation Investigation and Mitigation of Data Exfiltration Threats Exploiting Vulnerable Network Servers Investigating Data Exfiltration Threats Mitigating and Verifying Data Exfiltration Threats nvestigation and Mitigation of Malware Threats Examining Endpoint Malware Protection Investigating and Mitigating Endpoint Malware Threats

Duration 3 Days 18 CPD hours This course is intended for Built for experienced IT Professionals who want to be familiar with Citrix ADC. Potential students include administrators, engineers, and architects interested in learning how to deploy or manage Citrix ADC. Overview Understand the functionality and capabilities of the Citrix ADC Complete the initial setup and configuration of the Citrix ADC appliance Understand Citrix ADC Load Balancing and High Availability configuration options and management Employ recommended tools and techniques to troubleshoot common ADC network and connectivity issues Learn the skills required to implement Citrix ADC Essential components includingsecure Load Balancing, High Availability, and Citrix ADC Management. At the endof the course, students will be able to configure their Citrix ADC environments toaddress traffic delivery and management requirements including Load Balancing,Availability, and ADC Operation Management. Getting Started Introduction to Citrix ADC Feature and Platform Overview Deployment Options Architectural Overview Setup and Management Basic Networking Networking Topology Citrix ADC Components Routing Access Control Lists ADC Platforms Citrix ADC MPX Citrix ADC VPX Citrix ADC CPX Citrix ADC SDX Citrix ADC BLX High Availability Citrix ADC High Availability High Availability Configuration Managing High Availability In Service Software Upgrade Troubleshooting High Availability Load balancing Load Balancing Overview Load Balancing Methods and Monitors Load Balancing Traffic Types Load Balancing Protection Priority Load Balancing Load Balancing Troubleshooting SSL Offloading SSL Overview SSL Configuration SSL Offload Troubleshooting SSL Offload SSL Vulnerabilities and Protections Security Authentication, Authorization, and Auditing Configuring External Authentication Admin Partitions Security Citrix ADC Logging Monitoring with SNMP Reporting and Diagnostics AppFlow Functions Citrix Application Delivery Management Troubleshooting

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Data Consultants/Managers, Developers, Program/Project Managers, and System Administrators. Overview This course is designed to give you the comprehensive skills needed to work with the Information Design Tool. The Information Design Tool enables designers to extract, define, and manipulate metadata from relational and OLAP sources to create and deploy SAP BusinessObjects universes.In this course you learn how to use data from different source systems (SAP and non-SAP) with the SAP BusinessObjects BI client tools. This five-day course is designed to give you the comprehensive skills and in-depth knowledge needed to create SAP BusinessObjects universes using the SAP BusinessObjects Information Design Tool. Basic SAP BusinessObjects Universe Design Describing Universes Defining the Components of a Universe Data Connections Defining connections Data Foundations Creating Data Foundations Using Joins Business Layers Accessing Data through the Business Layer Integrating the Business Layer Components Validating Objects Creating Measure Objects Creating Shortcut Joins Loops in a Data Foundation Resolving Loops with Joined Tables Resolving Loops Using Aliases Resolving Loops Using Contexts Detecting Contexts Editing Contexts Testing Contexts Resolving Recursive Loops Data Restrictions Defining Data Restrictions Applying Mandatory Data Restrictions Applying Optional Data Restrictions Lists of Values (LOV) Providing a List of Values Parameters Illustrating Runtime Parameters Object @functions Using Object @functions in Queries Applying the Aggregate Awareness Optimization Method Using Other @ Functions Navigation Paths Defining Drill Down Navigation Paths Derived Tables Creating Derived Tables Key Awareness Defining Numeric Keys Universe Management with Data Foundation and Business Layer Views Managing a Universe using the Data Foundation View Managing a Universe using the Business Layer View Universe Optimization Optimizing Universes Using Parameters Universe Deployment and Security Deploying a Universe Securing a Published Universe Creating Data Security Profiles Creating Business Security Profiles Assigning Security Profiles to Users Identifying the Priority of Security Settings Updating a Published Universe SQL Clause Processing Problems Determining How the Order of SQL Clauses Affects Data Returned Detecting Ambiguity Caused by SQL Requests Run Against Joined Tables Resolving Ambiguity Caused by SQL Requests Run Against Joined Tables Identifying Fan Traps Resolving Ambiguity Caused by SQL Requests Run Against Joined Tables Outer Join Problem Resolution Resolving an Ambiguous Outer Join Using @AggregateAware Universe Creation from Different Data Sources Identifying the Different Data Sources Creating an OLAP Universe Creating a Multi-source Universe Shared Projects Using Shared Projects Manipulating Other Designers' Resources Universe Conversion Converting Existing .unv Universes Translation Deploying Universes in Different Languages

Duration 5 Days 30 CPD hours This course is intended for System Administrator System Architect Technology Consultant Overview This course will prepare you to: start and stop SAP systems perform system configuration tasks describe the architecture of database systems explain fundamental user administration concepts create RFC destinations implement SAP notes and SAP Support Packages configure printers in SAP systems schedule and monitor background jobs In this five-day training, you will learn how to perform various administrative tasks to keep the SAP system running. This course provides you with fundamental knowledge on how to ensure a smooth operation of SAP systems running on Application Server ABAP (AS ABAP). AS ABAP is the technological foundation of SAP Business Suite as well as SAP S/4HANA systems. You will also learn the theoretical administration concepts within AS ABAP and work practically in an SAP system and on the operating system level. Course Content AS ABAP Fundamentals Starting and Stopping SAP Systems Technical System Configuration Setting profile parameters Setting up and working with operation modes Working with task lists Architecture of database systems Understanding basic database administration Fundamentals of User Administration Understanding the user administration concept Understanding the AS ABAP authorization concept RFC Communication Setting up RFC connections Software Maintenance Implementing SAP Notes and SAP Support Packages Preparing a software maintenance process Working with the Support Package Manager (SPAM) Understanding the Software Update Manager (SUM) Output Management Configuring printers Background Processing Scheduling background jobs System Monitoring and Troubleshooting Monitoring architecture Monitoring with SAP Solution Manager Additional course details: Nexus Humans ADM100 System Administration I of SAP S/4HANA and SAP Business Suite 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 ADM100 System Administration I of SAP S/4HANA and SAP Business Suite 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 This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

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 3 Days 18 CPD hours This course is intended for Any Managed Service Provider who is designing VMware SD-WAN solutions or managing SD-WAN networks for their customers. Overview By the end of this course, you should be able to meet the following objectives: Explain VMware SD-WAN architecture Outline VMware SD-WAN key components Discuss various Managed Service Provider (MSP) use cases and deployment options Deploy VMware SD-WAN Gateway, and VMware SD-WAN Edge Manage VMware SD-WAN Cloud VPN Design VMware SD-WAN for performance and scalability Configure the Partner Gateway handoff Customers demand a scalable, secure, and manageable VMware SD-WAN? by VeloCloud©. To deliver a successful solution you must understand VMware SD-WAN architecture, know how the features can solve customer use cases, and be able to design a VMware SD-WAN that can be easily deployed, managed, and expanded. Course Introduction Introductions and course logistics Course objectives Architecture and Core Features Evaluate the current state of the enterprise WAN and limitations for growth Describe the key components and features of the VMware SD-WAN architecture Explain VMware SD-WAN component placement and interactions between components List VMware SD-WAN core value differentiators Describe VMware SD-WAN core features Evaluate the effect of VMware SD-WAN differentiators on a SD-WAN site deployment VMware SD-WAN MSP use Cases, Deployment Models, and License Models Compare VMware SD-WAN use cases List VMware SD-WAN deployment models Describe each VMware SD-WAN license model Zero Touch Provisioning Provision VMware SD-WAN Edges Describe the workflow of a VMware SD-WAN Edge activation. Provision a VMware SD-WAN Virtual Edge on VMware ESXi VMware SD-WAN Cloud VPN Configure the VMware SD-WAN Cloud VPN Consider the availability settings when deploying a Cloud VPN Describe the packet flow in a Cloud VPN Routing and Branch Design Control SD-WAN overlay and underlay route advertisement Overlay flow control Describe best practices when designing VMware SD-WAN with BGP Evaluate branch design options VMware SD-WAN Security Explain VMware SD-WAN security architecture Describe VMware SD-WAN Edge security capabilities High Availability Designs Distinguish between Standard and Enhanced High Availability (HA) and Virtual Router Redundancy Protocol (VRRP) Designing for Performance and Scale List the SD-WAN factors that influence scalability and performance Describe VMware SD-WAN Edge Clustering Standing up a Partner Gateway Describe VMware SD-WAN Gateway functionality and roles Provision a VMware SD-WAN Gateway from VMware SD-WAN Orchestrator Demonstrate the procedure to install a VMware SD-WAN Gateway on ESXi Describe how BGP works together with a Partner Gateway hand-off MSP Operations and Version Management Identify the appropriate documentation Demonstrate account management Describe the VMware SD-WAN upgrade sequence Demonstrate a VMware SD-WAN Edge and VMware SD-WAN Gateway upgrade

Duration 5 Days 30 CPD hours This course is intended for This class is designed for persons who are new to the z/OS platforms but have a technical background in information technology. It is intended for those who require an in-depth understanding of z/OS. Overview Describe the system initialization process of the z/OS operating systemsState the differences between an address space, data space, and hyperspaceDescribe the process of translating a virtual address to a real addressExplain the difference between paging and swappingDefine a z/OS taskDescribe dispatching, interrupt processing, supervisor calls, cross memory services, and serializationDescribe the purpose of the Job Entry Subsystem (JES)Illustrate the flow of a job through the z/OS environmentDescribe the allocation process for data sets in the z/OS environmentsIllustrate how an I/O request is processed in a z/OS environmentDescribe how workload management is accomplished in a z/OS environmentExplain the z/OS recovery processes and list available Problem Determination ToolsDescribe z/OS storage management conceptsDescribe the UNIX System Services functions provided in the z/OS environmentsExplain the network topologies and protocol support provided in z/OSDescribe system security and network security for a z/OS environmentCreate a high-level plan for the installation and configuration of a z/OS environment This classroom course introduces the base elements, optional features, and servers that are provided in z/OS. It focuses on the system service facilities that are provided by the z/OS Base Control Program (BCP). Day 1 Unit 1: z/OS overview Including welcome and course overview Unit 2: Storage management Day 2 Unit 3: Managing work Unit 4: Input/output processing Day 3 Unit 4: Input/output processing (continued) Unit 5: Data management Unit 6: Job management Day 4 Unit 7: IPL and system initialization Unit 8: Termination and recovery analysis Unit 9: Installing and configuring Day 5 Unit 10: Communicating Unit 11: Security in z/OS Including end-of-course summary Additional course details: Nexus Humans ES15 IBM z/OS Facilities 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 ES15 IBM z/OS Facilities 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 Individuals planning to deploy applications and create application environments on Google Cloud. Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services. Describe ways in which customers have used Google Cloud. Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine. Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Make basic use of BigQuery, Google's managed data warehouse for analytics. This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies. Introducing Google Cloud Platform Explain the advantages of Google Cloud Platform. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Platform Identify the purpose of projects on Google Cloud Platform. Understand the purpose of and use cases for Identity and Access Management. List the methods of interacting with Google Cloud Platform. Lab: Getting Started with Google Cloud Platform. Google Compute Engine and Networking Identify the purpose of and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Lab: Deploying Applications Using Google Compute Engine. Google Cloud Platform Storage Options Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable. Learn how to choose between the various storage options on Google Cloud Platform. Lab: Integrating Applications with Google Cloud Storage. Google Container Engine Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Introduction to Hybrid and Multi-Cloud computing (Anthos). Lab: Deploying Applications Using Google Container Engine. Google App Engine and Google Cloud Datastore Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand the purpose of and use cases for Google Cloud Endpoints. Lab: Deploying Applications Using App Engine and Cloud Datastore. Deployment and Monitoring Understand the purpose of template-based creation and management of resources. Understand the purpose of integrated monitoring, alerting, and debugging. Lab: Getting Started with Stackdriver and Deployment Manager. Big Data and Machine Learning Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Lab: Getting Started with BigQuery. Summary and Review Summary and Review. What's Next?.