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Duration 5 Days 30 CPD hours This course is intended for Typical candidates for this course are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies Overview After you successfully complete this course, expect to be able to: Explain how Aruba's wireless networking solutions meet customers' requirements Explain fundamental WLAN technologies, RF concepts, and 802.11 Standards Learn to configure the Mobility Master and Mobility Controller to control access to the Employee and Guest WLAN Control secure access to the WLAN using Aruba Firewall Policies and Roles Recognize and explain Radio Frequency Bands and channels, and the standards used to regulate them Describe the concept of radio frequency coverage and interference and successful implementation and diagnosis of WLAN systems Identify and differentiate antenna technology options to ensure optimal coverage in various deployment scenarios Describe RF power technology including, signal strength, how it is measured and why it is critical in designing wireless networks Learn to configure and optimize Aruba ARM and Client Match features Learn how to perform network monitoring functions and troubleshooting AR-AMF teaches knowledge, skills & practical exp. to set up & config a basic AR WLAN utilizing OS 8.X architecture & features.using lecture & labs,AR-AMF provides tech. & hands-on exp. of config. a single Mobility Master with 1 controller & AP WLAN WLAN Fundamentals Describes the fundamentals of 802.11, RF frequencies and channels Explain RF Patterns and coverage including SNR Roaming Standards and QOS requirements Mobile First Architecture An introduction to Aruba Products including controller types and modes OS 8.X Architecture and features License types and distribution Mobility Master Mobility Controller Configuration Understanding Groups and Subgroups Different methods to join MC with MM Understanding Hierarchical Configuration Secure WLAN configuration Identifying WLAN requirements such as SSID name, encryption, authentication Explain AP groups structure and profiles Configuration of WLAN using the Mobility Master GUI AP Provisioning Describes the communication between AP and Mobility controller Explain the AP booting sequence and requirements Explores the APs controller discovery mechanisms Explains how to secure AP to controller communication using CPSec Describes AP provisioning and operations WLAN Security Describes the 802.11 discovery, authentication and association Explores the various authentication methods, 802.1x with WPA/WPA2, Mac auth Describes the authentication server communication Explains symmetric vs asymmetric Keys, encryption methods WIPS is described along with rogue discovery and protection Firewall Roles and Policies An introduction into Firewall Roles and policies Explains Aruba?s Identity based Firewall Configuration of Policies and Rules including aliases Explains how to assign Roles to users Dynamic RF Management Explain how ARM calibrates the network selecting channels and power settings Explores the new OS 8.X Airmatch to calibrate the network How Client Match and Client Insight match steers clients to better Aps Dynamic RF Management Explain how ARM calibrates the network selecting channels and power settings Explores the new OS 8.X Airmatch to calibrate the network How Client Match and Client Insight match steers clients to better Aps Guest Access Introduces Aruba?s solutions for Guest Access and the Captive portal process Configuration of secure guest access using the internal Captive portal The configuration of Captive portal using Clearpass and its benefits Creating a guest provisioning account Troubleshooting guest access Network Monitoring and Troubleshooting Using the MM dashboard to monitor and diagnose client, WLAN and AP issues Traffic analysis using APPrf with filtering capabilities A view of Airwaves capabilities for monitoring and diagnosing client, WLAN and AP issues

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 a data-driven application. 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. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database 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 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 Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python 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 Advanced Programming Techniques with Python 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 Data Modelers Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Dynamic Cubes Define and differentiate Dynamic Cubes Dynamic Cubes characteristics Examine Dynamic Cube requirements Examine Dynamic Cube components Examine high level architecture IBM Cognos Dynamic Query Review Dimensional Data Structures Dynamic Cubes caching Create & Design a Dynamic Cube Explore the IBM Cognos Cube Designer Review the cube development process Examine the Automatic Cube Generation Manual development overview Create dimensions Model the cube Best practice for effective modeling Deploy & Configure a Dynamic Cube Deploy a cube Explore the Estimate Hardware Requirements Identify cube management tasks Examine Query Service administration Explore Dynamic Cube properties Schedule cube actions Use the DCAdmin comment line tool Advanced Dynamic Cube Modelling Examine advanced modeling concepts Explore modeling caveats Calculated measures and members Model Relative Time Explore the Current Period property Define period aggregation rules for measures Advanced Features of Cube Designer Examine multilingual support Examine ragged hierarchies and padding members Define Parent-Child Dimensions Refresh Metadata Import Framework Manager packages Filter measures and dimensions Optimize Performance with Aggregates Identify aggregates and aggregate tables In-memory aggregates Use Aggregate Advisor to identify aggregates User defined in-memory aggregates Optimize In-Memory Aggregates automatically Aggregate Advisor recommendations Monitor Dynamic Cube performance Model aggregates (automatically vs manually) Use Slicers to define aggregation partitions Define Security Overview of Dynamic Cube security Identify security filters The Security process - Three steps Examine security scope Identify scope rules Identify roles Capabilities and access permissions Cube security deep dive Model a Virtual Cube Explore virtual cubes Create the virtual cube Explore virtual cube objects Examine virtual measures and calculated members Currency conversion using virtual cubes Security on virtual cubes Introduction to IBM Cognos Analytics Define IBM Cognos Analytics Redefined Business Intelligence Self-service Navigate to content in IBM Cognos Analytics Interact with the user interface Model data with IBM Cognos Analytics IBM Cognos Analytics components Create reports Perform self-service with analysis and Dashboards IBM Cognos Analytics architecture (high level) IBM Cognos Analytics security Package / data source relationship Create Data modules Upload files Additional course details: Nexus Humans B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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 B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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.

Course Overview The "Microsoft Excel Complete Course" is designed to equip learners with the essential skills to master Microsoft Excel, one of the most widely used tools in data analysis and business operations. This course covers a comprehensive range of topics, including Excel's new features, formula creation, data visualisation, and workbook management. It offers practical knowledge that will help learners work more efficiently, whether they are managing large datasets, analysing trends, or presenting information. By the end of this course, learners will be confident in using Excel for various business tasks, gaining a strong foundation for further professional development. Course Description This course covers all key aspects of Microsoft Excel, from the basics to advanced techniques. Learners will explore Excel’s new features in the 2019 version, as well as how to perform calculations, modify worksheets, and apply formatting. The course delves into functions, lists, and data analysis tools, including PivotTables and charts. Learners will also learn how to work with multiple worksheets and workbooks, use lookup functions, and automate workbook functionality. With a focus on essential Excel tools and techniques, learners will gain the ability to efficiently manage and analyse data for business or personal use. Course Modules Module 01: Microsoft Excel 2019 New Features Module 02: Getting Started with Microsoft Office Excel Module 03: Performing Calculations Module 04: Modifying a Worksheet Module 05: Formatting a Worksheet Module 06: Printing Workbooks Module 07: Managing Workbooks Module 08: Working with Functions Module 09: Working with Lists Module 10: Analyzing Data Module 11: Visualizing Data with Charts Module 12: Using PivotTables and PivotCharts Module 13: Working with Multiple Worksheets and Workbooks Module 14: Using Lookup Functions and Formula Auditing Module 15: Sharing and Protecting Workbooks Module 16: Automating Workbook Functionality Module 17: Creating Sparklines and Mapping Data Module 18: Forecasting Data (See full curriculum) Who is this course for? Individuals seeking to improve their data management and analysis skills. Professionals aiming to enhance their productivity in Excel for business applications. Beginners with an interest in data analysis or office administration. Anyone looking to build a strong foundation in Excel for career advancement. Career Path Data Analyst Financial Analyst Office Administrator Project Manager Business Analyst Operations Manager Administrative Assistant HR Specialist

Course Overview: This course on Decision Making and Critical Thinking offers a comprehensive exploration of how to develop and apply critical thinking skills in both personal and professional contexts. Learners will gain the ability to analyse complex situations, make well-informed decisions, and approach problems with a logical mindset. By the end of this course, participants will have a clear understanding of critical thinking principles, decision-making processes, and how to apply these techniques effectively in various scenarios. The course is designed to enhance problem-solving capabilities and promote more thoughtful, reasoned approaches to decision-making. Course Description: The Decision Making and Critical Thinking course covers a wide range of essential topics, including understanding the key components of critical thinking, identifying and overcoming common barriers, and exploring decision-making strategies. Learners will delve into how to evaluate claims, the benefits of critical thinking, and the practical applications of these skills in real-world situations. With engaging lessons and interactive content, participants will develop the cognitive tools needed to think critically, solve problems, and make decisions that are both informed and objective. Key areas of focus include problem-solving techniques, critical thinking strategies, and the structured decision-making process. Upon completion, learners will be equipped to make more effective decisions and analyse situations with a critical mindset. Course Modules: Module 01: Introduction to Critical Thinking Module 02: Critical Thinking and the Judgment of Claims Module 03: Benefits and Barriers of Critical Thinking Module 04: Importance of Critical Thinking Module 05: Recognising a Critical Thinker Module 06: What Are the Critical Thinking Steps? Module 07: Critical Thinking Strategies Module 08: Problem-Solving Through Critical Thinking Module 09: Decision Making with Critical Thinking (See full curriculum) Who is this course for? Individuals seeking to improve their decision-making skills. Professionals aiming to enhance their critical thinking abilities. Beginners with an interest in logic, problem-solving, and decision-making. Anyone looking to develop a more analytical and structured approach to challenges. Career Path: Analyst roles in business, marketing, and consulting. Leadership positions requiring strategic decision-making. Project management and operations management positions. Careers in education, research, or policy analysis. Roles in human resources, where critical thinking is key to recruitment and development.

Course Overview: This comprehensive Property Law course provides an in-depth understanding of property rights, ownership, and key legal principles. Learners will explore essential concepts such as land law, co-ownership, leases, mortgages, and property rights. The course covers both theoretical and practical aspects of property law, enabling learners to gain a clear understanding of property transactions and disputes. By the end of the course, participants will be equipped with the knowledge to navigate property law in both residential and commercial settings, offering them a strong foundation for a career in property law, real estate, or related sectors. Course Description: This Property Law course covers a range of crucial topics, from the fundamental principles of land law to complex property rights and ownership issues. Learners will examine the different forms of land tenure, including registered and unregistered land, and gain insights into the legalities of co-ownership and leases. Key areas such as mortgages, licenses, and proprietary estoppel will also be explored. Throughout the course, learners will develop an understanding of the rights and responsibilities of property owners, landlords, and tenants, and how these impact property transactions. By the end of the course, learners will have gained valuable legal knowledge applicable to property law disputes, legal agreements, and property transactions in the UK. Course Modules: Module 1: Introduction to Property Law Module 2: Land Law Principles- Rights and Interests Module 3: Registered and Unregistered Land Module 4: Ownership and Possession of the Property Module 5: Co-Ownership in Property Module 6: Leases and Bailment Module 7: Property Law: License Module 8: The Mortgage Law Module 9: Insurance for Property Maintenance Module 10: Proprietary Estoppel (Property Rights) Module 11: Security Interests in Property (See full curriculum) Who is this course for? Individuals seeking to gain a solid understanding of property law Professionals aiming to advance their careers in the property or real estate sectors Beginners with an interest in legal aspects of property ownership Aspiring property investors or those looking to specialise in property law Career Path: Property Lawyer Real Estate Consultant Mortgage Advisor Property Manager Legal Advisor for Property Transactions Estate Agent Landlord/Property Investor

Course Overview The Portuguese Language Course for Beginners is designed to introduce learners to the essentials of the Portuguese language, equipping them with the ability to communicate confidently in everyday situations. This course covers key aspects such as greetings, basic vocabulary, sentence structure, and conversational skills. Whether you are preparing for travel, work, or personal enrichment, this course provides a strong foundation for further language development. By the end of the course, learners will have gained the competence to understand and use common Portuguese expressions, engage in simple conversations, and appreciate the cultural nuances of Portuguese-speaking countries. With its clear structure and engaging approach, this course offers practical value by enhancing communication skills, boosting cultural understanding, and opening up new personal and professional opportunities. Course Description The Portuguese Language Course for Beginners offers a structured introduction to the language through a series of focused lessons. Learners will explore essential topics including basic grammar, vocabulary building, pronunciation techniques, and conversational etiquette. Each section of the course is designed to enhance comprehension and speaking abilities, fostering a gradual progression towards language confidence. Learners will also gain insights into Portuguese culture, helping them to apply their language skills in real-world contexts with sensitivity and awareness. The course combines interactive exercises, audio support, and accessible content to ensure an enriching learning experience. Upon completion, learners will have developed the linguistic tools necessary to engage in everyday Portuguese conversations, navigate simple social and professional interactions, and lay the groundwork for further language study. The course is ideal for those seeking a reliable and well-rounded entry point into Portuguese language acquisition. Course Modules Module 01: Lesson 1 Module 02: Lesson 2 Module 03: Lesson 3 Module 04: Lesson 4 (See full curriculum) Who is this course for? Individuals seeking to communicate effectively in Portuguese during travel or relocation. Professionals aiming to expand career opportunities in Portuguese-speaking markets. Beginners with an interest in learning a new language for cultural enrichment. Students or enthusiasts looking to build foundational language skills for academic or personal growth. Career Path Translator or Interpreter (Entry-Level) Customer Service Representative in multilingual environments Travel and Tourism Assistant International Sales or Business Support Officer Language Tutor (Beginner Level) Cultural Exchange Programme Coordinator

Motivation Skills Course Overview: This course on Motivation Skills provides learners with a comprehensive understanding of the key principles and strategies behind effective motivation. It covers essential techniques that can be applied in various personal and professional settings to enhance performance, engagement, and productivity. By exploring core motivational theories and practical methods, the course equips learners with the tools to inspire and energise individuals or teams, making it invaluable for anyone looking to create a motivating environment. Learners will finish the course with a strong grasp of motivational skills, ready to apply them in their everyday interactions. Course Description: In this course, learners will dive into the fundamentals of motivation, including the psychological theories that underpin human drive and behaviour. Topics such as motivational techniques, strategies for sustained engagement, and ways to effectively influence others will be explored. The course provides learners with a structured approach to boosting motivation in themselves and others, enhancing productivity and morale. Learners will gain a strong understanding of how to adapt motivational strategies to different contexts and individuals, offering them the ability to drive results in diverse professional and personal environments. Motivation Skills Curriculum: Module 01: Introduction Module 02: Motivational Skills Module 03: Motivational Strategies Module 04: Conclusion (See full curriculum) Who is this course for? Individuals seeking to improve their leadership skills. Professionals aiming to enhance team engagement and performance. Beginners with an interest in psychology or human behaviour. Managers looking to foster a positive work culture. Career Path: Motivational Speaker Team Leader or Manager HR Specialist Coaching and Mentoring Roles Workplace Wellness Coordinator

Join this webinar discussing how therapeutic laser and shockwave therapy can be combined to deliver excellent outcomes. Discover how to integrates these approaches into treatment pathways, and learn more about the science and practical applications of laser and shockwave therapies.

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced web developers new to Python who want to use Python and Django for full stack web development projects. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop full-stack web sites based on content stored in an RDMS Use python data types appropriately Define data models Understand the architecture of a Django-based web site Create Django templates for easy-to-modify views Map views to URLs Take advantage of the built-in Admin interface Provide HTML form processing Geared for experienced web developers new to Python, Introduction to Full Stack Web Development with Python and Django is a five-day hands-on course that teaches students how to develop Web applications using the Django framework. Students will explore the basics of creating basic applications using the MVC (model-view-controller) design pattern, as well as more advanced topics such as administration, session management, authentication, and automated testing. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. The Python Environment Starting Python Using the interpreter Running a Python script Getting help Editors and IDEs Getting Started Using variables Built in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control Conditional expressions Relational and Boolean operators while loops Lists and Tuples About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Working with Files File overview The with statement Opening a file Reading/writing files Dictionaries and Sets About dictionaries Creating and using dictionaries About sets Creating and using sets Functions Returning values Function parameters Variable Scope Sorting with functions Errors and Exception Handling Exception overview Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Creating packages Classes About OO programming Defining classes Constructors Properties Instance methods and data Class/static methods and data Inheritance Django Architecture Django overview Sites and apps Shared configuration Minimal Django layout Built in flexibility Configuring a Project Executing manage.py Starting the project Generating app files App configuration Database setup The development server Using cookiecutter Creating models Defining models Related objects SQL Migration Simplel model access Login for Nothing and Admin for Free Setting up the admin user Using the admin interface Views What is a view HttpResponse URL route configuration Shortcut: get_object_or_404() Class-based views Templates About templates Variable lookups The url tag Shortcut: render() Querying Models QuerySets Field lookups Chaining filters Slicing QuerySets Related fields Q objects Advanced Templates Use Comments Inheritance Filters Escaping HTML Custom filters Forms Forms overview GET and POST The Form class Processing the form Widgets Validation Forms in templates Automated Testing Why create tests? When to create tests Using Django's test framework Using the test client Running tests Checking code coverage