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Intercultural Competence: In-House Training In a world that conducts business across continents and geographical borders, more than ever it is essential for team and organizational leaders to not only understand but also embrace the diversity of cultures; this is intercultural competence. Intercultural competence gives one the ability to effectively and appropriately communicate with people from other cultures in a competitively complex world. The participant in this program will gain cultural insights needed to build intercultural teams and navigate cultural diversities, without knowingly violating what are deemed to be acceptable or unacceptable cultural norms. What you will Learn At the end of this program, you will be able to: Articulate on the meaning of culture and intercultural competence Express the importance of body language and appropriately demonstrate its emblems Describe three cultural models and consider their application in assimilating cultural behaviors Define emotional intelligence and explain how it is linked to cultural intelligence Examine the four cultural intelligence capabilities and give examples of how each is developed Develop a personal cultural profile and compare its dimensions to gain an appreciation for intercultural competence Foundation Concepts Fundamentals of culture Culture and body language Culture and proxemics Cultural Models Iceberg culture model The onion model of culture Hofstede's model of national cultures High-context and low-context cultures Cultural Intelligence Emotional intelligence overview Cultural intelligence overview Cultural Profile Cultural profile dimensions Understanding your cultural profile

Intercultural Competence (Virtual) In a world that conducts business across continents and geographical borders, more than ever it is essential for team and organizational leaders to not only understand but also embrace the diversity of cultures; this is intercultural competence. Intercultural competence gives one the ability to effectively and appropriately communicate with people from other cultures in a competitively complex world. The participant in this program will gain cultural insights needed to build intercultural teams and navigate cultural diversities, without knowingly violating what are deemed to be acceptable or unacceptable cultural norms. What you will Learn At the end of this program, you will be able to: Articulate on the meaning of culture and intercultural competence Express the importance of body language and appropriately demonstrate its emblems Describe three cultural models and consider their application in assimilating cultural behaviors Define emotional intelligence and explain how it is linked to cultural intelligence Examine the four cultural intelligence capabilities and give examples of how each is developed Develop a personal cultural profile and compare its dimensions to gain an appreciation for intercultural competence Getting Started Foundation Concepts Fundamentals of culture Culture and body language Culture and proxemics Cultural Models Iceberg culture model The onion model of culture Hofstede's model of national cultures High-context and low-context cultures Cultural Intelligence Emotional intelligence overview Cultural intelligence overview Cultural Profile Cultural profile dimensions Understanding your cultural profile Summary and Next Steps

Duration 0.5 Days 3 CPD hours This course is intended for This course is primarily designed for business leaders, consultants, product and project managers, and other decision-makers who are interested in growing the business by leveraging the power of AI. Other individuals who wish to explore basic AI concepts are also candidates for this course. This course is also designed to assist students in preparing for the CertNexus AIBIZ™ (Exam AIZ-210) credential. Overview In this course, you will identify ways in which AI can bring significant value to the business. You will: Describe AI fundamentals. Identify the functions of AI in business. Implement business requirements for AI. Artificial intelligence (AI) is not just another technology or process for the business to consider?it is a truly disruptive force, one that delivers an entirely new level of results across business sectors. Even organizations that resist adopting AI will feel its impact. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI. This course is designed to help business professionals conquer and move beyond the basics of AI to apply AI concepts for the benefit of the business. It will give you the essential knowledge of AI you'll need to steer the business forward. Lesson 1: AI Fundamentals Topic A: A Brief History of AI Topic B: AI Concepts Lesson 2: Functions of AI in Business Topic A: Improve User Experiences Topic B: Segment Audiences Topic C: Secure Assets Topic D: Optimize Processes Lesson 3: Implementing Business Requirements for AI Topic A: Identify Design Requirements Topic B: Identify Data Requirements Topic C: Identify Risks in Implementing AI Topic D: Develop an AI Strategy

Duration 2 Days 12 CPD hours This course is intended for The primary audiences for the course are as follows: Cisco technical customers (IT, telephony members, etc.) Cisco technology partners Cisco employees Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe the CUIC High-Level Architecture and Deployment considerations Understanding Cisco Unified Intelligence Center Security, License Types and User Security Describe the installation and function of both the Controller Node Member Nodes. CUIC Configurations as well as how to upgrade the product is discussed. Managing Cisco Unified Intelligence Center Components Understanding Cisco Unified Intelligence Center Administration Describe what a Value List is and its function in CUIC Describe how Value Lists are created Describe what a Collection is and when you would use it when running reports Describe what are Report Definitions Describe the creation of Report Definitions and how to build a new Report using the new Report Definition The Cisco Unified Intelligence Center 11.6 for Advanced Users v1.1 (CUIC11.6AU v1.1) course is a 2-day instructor-led training (ILT) course. Cisco Unified Intelligence Center is a comprehensive, end-to-end reporting solution, designed to simplify the task of creating and modifying reports. It also can manage disparate data sources and, at the same time, to present a consistent user interface and a common tool to access varied data across multiple Cisco product families. Cisco Unified Intelligence Center Overview for the Advanced User Understanding Cisco Unified Intelligence Center Deployment Considerations Understanding Cisco Unified Intelligence Center Security, License Types and User Security Installing Cisco Unified Intelligence Managing Cisco Unified Intelligence Center Components Understanding Cisco Unified Intelligence Center Administration Using CUIC Value Lists and Collections as well as Report Definitions Using Value Lists and Collections Using Report Definitions

Duration 2 Days 12 CPD hours This course is intended for The primary audiences for the course are as follows: Cisco customers ? Contact Center Management, Contact Center Supervisors and Customer technical personnel Cisco technology partners Cisco employees Overview Upon completing this course, the learner will be able to meet these overall objectives: Provide a comprehensive overview of Cisco Unified Intelligence Center Describe reporting concepts and capabilities and features of Cisco Unified Intelligence Center reports Provide a detailed description and labs of how to modify reports from normal data sources (Cisco Unified CCE and Cisco Unified CVP) by customizing reports using various methods. (i.e. creating thresholds, show/hide columns, charts and more) The Cisco Unified Intelligence Center 11.6 for End Users (CUIC11.6EU v1.1) course is a two-day instructor-led training (ILT) course. Cisco Unified Intelligence Center is a comprehensive, end-to-end reporting solution, designed to make the task of creating and modifying reports easier on the customer and, at the same time, to present a consistent user interface and a common tool to access varied data across multiple Cisco product families. Cisco Unified Intelligence Center Overview Introducing Cisco Unified Intelligence Center What Contact Center products use CUIC for reporting Cisco Unified Intelligence Center Administration and Security The End User and CUIC Security Running and Modifying CUIC Reports Running Cisco Unified Intelligence Center Reports Using Permalinks Help Dashboards Modifying a CUIC Stock Report Cisco Unified Intelligence Center Dashboards Understanding Cisco Unified CCE Key Concepts Creating a New Cisco Unified Intelligence Center Report

Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users.  This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions.  The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content  Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials  Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity  Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell

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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

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Duration 2 Days 12 CPD hours This course is intended for This course is intended for business users who have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common 'next step' for experienced Power BI users. Overview At course completion, you should be able to describe DAX syntax, data types, and errors use DAX to create calculated columns, measures, and tables explain how DAX calculations are evaluated, along with the differences between row context and filter context configure and use Time Intelligence to perform common time-based calculations, for example to-date calculations, year-over-year analysis, moving averages, etc. create calculated columns and measures that use data from multiple tables in the data model write measures that handle error conditions gracefully use DAX to enhance the Power BI user experience use DAX Studio to connect to a Power BI data model and execute simple queries Welcome to Introduction to DAX for Power BI. This two-day instructor-led course is intended for business users who have been using Power BI and want to use DAX to create custom calculations in their data models. In this class, you will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and the DAX language, but the emphasis is on using DAX to solve common business problems. You will learn how to write your own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. MODULE 1: GETTING STARTED WITH DAX INTRODUCTION TODAX CREATING OBJECTS WITHDAX CONTEXT AND RULES OF EVALUATION VARIABLES,COMMENTS,AND TESTING MODULE 2: PERFORMING BASIC CALCULATIONS GETTING STARTED IMPLICIT MEASURES ADDING QUICK MEASURES WORKING WITH DAX DATA TYPES . DOING BASIC MATH USING LOGIC IN YOUR CALCULATIONS USING THE IF() FUNCTION NESTED IF() USING THE SWITCH() FUNCTION ADVANCED SWITCH() LOGICAL OPERATORS & FUNCTIONS: ||, OR(), &&, AND(), NOT() AGGREGATING AND SUMMARIZING DATA THE SUM() FUNCTION MODULE 3: WORKING WITH CONTEXT IN THE DATA MODEL CONTEXT DEFINED DATA MODELING BASICS INTRODUCTION TO DIMENSIONAL MODELING RELATIONSHIPS AND THEIR EFFECT ON THE EVALUATION CONTEXT GETTING DATA FROM OTHER TABLES USING RELATED() AND RELATEDTABLE LOOKING UP DATA WITHOUT USING RELATIONSHIPS MODIFYING THE CONTEXT USING CALCULATE() MODULE 4: PERFORMING MORE ADVANCED CALCULATIONS THE DAX ITERATOR FUNCTIONS USING TABLE MANIPULATION FUNCTIONS MODULE 5: WORKING WITH TIME PERFORMING DATE CALCULATIONS WORKING WITH DATE TABLES GENERATING A DATE TABLE WITH THE CALENDAR() FUNCTION DEFINING CUSTOM OPERATING PERIODS YTD, QTD, AND MTD CALCULATIONS CUSTOM TO-DATE CALCULATIONS FINDING YEAR-OVER-YEAR CHANGE FINDING MOVING AVERAGES MODULE 6: ENHANCING THE USER EXPERIENCE CONTROLLING VISIBILITYOF YOUR MEASURES USING WHAT-IF PARAMETERS ADDING BANDING USING DAX TO PROVIDE ROW-LEVEL SECURITY