1912 Courses in Cardiff delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for Network Engineers, Network Administrators, Network Security Engineers, and NOC Administrators Overview Successful completion of this five-day, instructor-led course will help enhance your understanding of how to design, implement, and effectively operate a Prisma SDWAN solution. You will get hands-on experience configuring Prisma SD-WAN with a branch and datacenter, configure policies, and use Prisma SD-WAN services. The Prisma SD-WAN Design and Operation (EDU-238) course describes the next generation Prisma SD-WAN solution, the capability and value it provides over legacy WAN and SD-WAN implementations, and how to configure, operate, and troubleshoot the solution.This course is intended for people who must configure, maintain, and use wide area networks, from data centers, to branches, to the cloud. This class is powered by Cloud Harmonics. Course Outline Module 1 - Solution Overview Module 2 - Branch Design Module 3 - Routing Module 4 - Policy Module #1 - Application Path and QoS Policy Module 5 - Policy Module #2 - NAT, ZBFW and Security Module 6 - Event Policy Management Services Module 7 - DNS and DHCP Services Module 8 - Operations and Troubleshooting Module 9 - CloudBlades Module 10 - Integrating Prisma SD-WAN and Prisma Access for SASE Implementation Module 11 - DevOps Module 12 - Next Steps

Duration 2 Days 12 CPD hours This course is intended for Security Administrators, Security Operations Specialists, Security Analysts, Security Engineers, and Security Architects Overview The Palo Alto Networks Panorama 11.0: Managing Firewalls at Scale (EDU-220) course is two days of instructor-led training that should help you: Learn how to configure and manage the next-generation Panorama management server Gain experience configuring templates (including template variables) and device groups Gain experience with administration, log collection, and logging and reporting Become familiar with planning and design considerations for Panorama deployment This course should help students to gain in-depth knowledge about how to configure and manage their Palo Alto Networks Panorama management server. Administrators that complete this course should become familiar with the Panorama management server?s role in managing and securing their overall network. Network professionals will be shown how to use Panorama aggregated reporting to provide them with a holistic view of a network of Palo Alto Networks next-generation firewalls.Learn how to configure and manage the next-generation Panorama? management server. Course Outline Module 1 - Initial Configuration Module 2 - Adding Firewalls Module 3 - Templates Module 4 - Device Groups Module 5 - Log Collection and Forwarding Module 6 - Using Panorama Logs Module 7 - Panorama Administrative Accounts Module 8 - Reporting Module 9 - Troubleshooting

Duration 4 Days 24 CPD hours This course is intended for Project administrators and ETL developers responsible for data extraction and transformation using DataStage. Overview Describe the uses of DataStage and the DataStage workflowDescribe the Information Server architecture and how DataStage fits within itDescribe the Information Server and DataStage deployment optionsUse the Information Server Web Console and the DataStage Administrator client to create DataStage users and to configure the DataStage environmentImport and export DataStage objects to a fileImport table definitions for sequential files and relational tablesDesign, compile, run, and monitor DataStage parallel jobsDesign jobs that read and write to sequential filesDescribe the DataStage parallel processing architectureDesign jobs that combine data using joins and lookupsDesign jobs that sort and aggregate dataImplement complex business logic using the DataStage Transformer stageDebug DataStage jobs using the DataStage PX Debugger This course enables the project administrators & developers to acquire the skills necessary to develop parallel jobs in DataStage. Students will learn to create parallel jobs that access sequential & relational data, and combine and transform the data. Course Outline Introduction to DataStage Deployment DataStage Administration Work with Metadata Create Parallel Jobs Access Sequential Data Partitioning and Collecting Algorithms Combine Data Group Processing Stages Transformer Stage Repository Functions Work with Relational Data Control Jobs

Duration 2 Days 12 CPD hours This course is intended for Oacle Database Administrators System Administrators Developers Overview Understand the concept, benefits, configuration, and usage of the new features and enhancements in database overall area Understand the concept, benefits, configuration, and usage of the new features and enhancements in the security area Understand the concept, benefits, configuration, and usage of the new features and enhancements in the availability area Understand the concept, benefits, configuration, and usage of the new features and enhancements in the performance area Understand the concept, benefits, configuration, and usage of the new features and enhancements in big data and data warehousing area Understand the concept, benefits, configuration, and usage of the new features and enhancements in diagnosability area Understand the concept, benefits, configuration, and usage of the new features and enhancements in sharding area The course provides the Oracle Database 19c new features and enhancements related to database overall, security, availability, performance, data warehousing, and diagnosability. In the lessons, you learn the new and enhanced features of Oracle Database 19c amongst different areas such as database overall, security, availability, performance, big data and warehousing, and diagnosability. Using General Database Overall EnhancementsUsing Security EnhancementsUsing Availability EnhancementsUsing Performance EnhancementsUsing Big Data and Data Warehousing EnhancementsUsing Diagnosability EnhancementsSharding Enhancements

Duration 5 Days 30 CPD hours This course is intended for Anyone whose position requires CCSP certificationIndividuals whose responsibilities involve procuring, securing, and managing cloud environments or purchased cloud services Overview In-depth coverage of the six domains required to pass the CCSP exam:Architectural concepts and design requirementsCloud data securityCloud platform and infrastructure securityCloud application securityOperationsLegal and compliance This course is the most comprehensive review of cloud security concepts and industry best practices covering the six domains of the CCSP Common Body of Knowledge (CBK). You will gain knowledge in identifying the types of controls necessary to administer various levels of confidentiality, integrity, and availability, with regard to securing data in the cloud. You will identify the virtual and physical components of the cloud infrastructure with regard to risk management analysis, including tools and techniques necessary for maintaining a secure cloud infrastructure. You will gain an understanding in cloud software assurance and validation, utilizing secure software, and the controls necessary for developing secure cloud environments. You will identify privacy issues and audit processes utilized within a cloud environment, including auditing controls, assurance issues, and the specific reporting attributes. Architectural Concepts and Design Requirements Cloud Data SecurityCloud Platform and Infrastucture Security Cloud Application SecurityOperations Legal and compliance

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their Python proficiencies. Overview In this course, students will expand their Python proficiencies. Students will: Create object-oriented Python applications. Design and create a GUI. Store data in a database from Python applications. Communicate using client/server network protocols. Manage multiple processes with threading. Implement unit testing. Package an application for distribution. Students will build upon basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages. Usinig Object-Oriented Python Create and Use Classes in an Application Use Magic Methods Incorporate Class Factories Creating a GUI Design a GUI Create and Arrange a GUI Layout Interact with User Events Using Databases Basics of Data Management Use SQLite Databases Manipulate SQL Data Network Programming Basics of Network Programming Create a Client/Server Program Managing Multiple Processes with Threading Create a Threaded Application Manage Thread Resources Implementing Unit Testing Test-Driven Development Write and Run a Unit Test Case Create a Test Suite Packaging an Application for Distribution Create a Package Structure Generate the Package Distribution Files Generate a Windows Executable Additional course details: Nexus Humans Python Programming - Advanced 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 Python Programming - Advanced 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.

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Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development. Overview In this course, you will develop simple command-line programs in Python. You will: Set up Python and develop a simple application. Declare and perform operations on simple data types, including strings, numbers, and dates. Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets. Write conditional statements and loops. Define and use functions, classes, and modules. Manage files and directories through code. Deal with exceptions. Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions. Lesson 1: Setting Up Python and Developing a Simple Application Topic A: Set Up the Development Environment Topic B: Write Python Statements Topic C: Create a Python Application Topic D: Prevent Errors Lesson 2: Processing Simple Data Types Topic A: Process Strings and Integers Topic B: Process Decimals, Floats, and Mixed Number Types Lesson 3: Processing Data Structures Topic A: Process Ordered Data Structures Topic B: Process Unordered Data Structures Lesson 4: Writing Conditional Statements and Loops in Python Topic A: Write a Conditional Statement Topic B: Write a Loop Lesson 5: Structuring Code for Reuse Topic A: Define and Call a Function Topic B: Define and Instantiate a Class Topic C: Import and Use a Module Lesson 6: Writing Code to Process Files and Directories Topic A: Write to a Text File Topic B: Read from a Text File Topic C: Get the Contents of a Directory Topic D: Manage Files and Directories Lesson 7: Dealing with Exceptions Topic A: Handle Exceptions Topic B: Raise Exceptions

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for application or system support personnel or anyone who needs an overview of the capabilities of HP UD 10.1x. Overview Upon successful completion of this course, you should be able to: Identify the evolution of the Configuration Management System (CMS) from the Configuration Management Database (CMDB), the need for CMS, and working of CMS Define the concept of Universal Discovery (UD) and be able to identify its applications and types Identify the architecture and deployment process of UD, and the installation and setup of the data flow probe and its log files Define the concepts of discovery adapters, discovery jobs, discovery scripts, and other discovery resources Use the Universal Discovery module to perform application dependency mapping discovery and inventory discovery Use zone-based discover method and discovery activities Design and build agentless and agent-based discoveries, and use inventory scanners Work with the Software Library Viewer and various inventory tools Use the application recognition process, and discovery rules HP This course is designed to provide an understanding of the fundamental concepts and applications of the HP Universal Discovery (UD) solution. This course is designed to provide an understanding of the fundamental concepts and applications of the HP Universal Discovery (UD) solution.