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Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Cisco Unified Communications system channel partners and resellers who are responsible for deployment and application engineering for Cisco Unified Contact Center Express customers. System and technical support engineers. Day 1 and Day 2 support personnel. Customers deploying and maintaining Cisco Unified CCX Overview Upon completing this course, the learner will be able to meet these overall objectives: Review Cisco Unified CCX environment components Create prompt recording tools Create a helpdesk script Apply common sense principles for scripting and system management, such as: Prompt, document, and grammar management Using the default script Scripting for proper call termination and ending a script Abandon rates Exception handling Check Agent Availability before and after entering queue Using Java Methods for Holiday and Time of Day routing Setup access and use an external database Define and use skills Script for conditional routing Script for basic callback scenarios Setup and use enterprise data and session management Script for queuing and scheduled callback scenarios Building on the knowledge base and scripting experience learned in the UCCXD class, the student will explore advanced techniques in scripting and overall Cisco Unified CCX functionality. During this five day class the students will use advanced scripting to implement features that extend the functionality of Cisco Unified CCX using many of the tools that are already available in the premium version of the product. Students should expect to spend time using the script editor and other tools to create developer tools and enhanced scripts to provide for a more functional and user-friendly customer experience. Activities include creating prompt recording tools, applying common sense scripting principles, creating simple and complex ACD routing scripts, holiday routing, external database access, various callback scenarios such as non-queuing, queuing, and scheduled callbacks, defining and using enterprise data, passing data from one script to another using session management, and much more. Additionally, since this class focuses on complex scripting concepts, it requires the student to learn more about fundamental scripting requirements such as data manipulation and formatting, using variables and array variables, and using Java programming methods. Course Introduction Learner Prerequisite Skills and Knowledge Course Goal Course Objectives Course Flow General Administration Lab Diagram Please Introduce Yourself Lesson 1: Cisco Unified CCX Overview Components of the Cisco Unified CCX Environment Gateways Routers Cisco Unified Communications Manager Cisco Unified CCX Script Editor Cisco Finesse Cisco Unified Intelligence Center Cisco Unified CCX Agent External Servers Cisco Unified CCX System Cluster Components Engine Database Server Call Flow Terms The Call Flow The Debug Process Reactive Non-Reactive Lesson 2: Prompt Recording Utilities Prompt Recorder Emergency Message Recorder Lesson 3: Basic ACD Routing Review Script Steps used in a Simple ACD Routing Script Resource Group Routing Defining the Contact Service Queue Create a Simple ACD routing script Lesson 4: Common Scripting Concepts Prompt Management Using the Default Script Terminating a Call and Ending a Script Abandon Rates Exception Handling Script Interruptions Check Agent Availability before and after entering queue Using Java Methods for Holiday and Time of Day routing Lesson 5: Accessing an External Database Database architecture and supported databases Setting up the Database Subsystem Using Database script steps Lesson 6: Skills Based Routing Appling skills to agents Defining the Contact Service Queue Specifying the CSQ in the Script Lesson 7: Advanced ACD Routing Overflow Routing When to Overflow How to get the Data Needed for Making Decisions Describe Methods of Overflowing Lesson 8: Basic ACD Callback Options Setup the Email Subsystem Script for Email Notification Script for Leaving a Recorded Message Script for Callback when Queue Times have Decreased Lesson 9: Enterprise Data and Session Management Define Enterprise Data in Cisco Finesse Define a Call Variable Layout in Cisco Finesse Define ECC Variables in the script editor Set Enterprise Data in the script Define Session Management Setup Session Management Use Session Management to Pass Variable Information Between Scripts Lesson 10: Advanced ACD Callback Options Leave Queued Message with an Option for Callback Scheduled Callback

Managing teams and projects to meet a private, public or voluntary organisation's goals.

About this Training Course One of the main challenges for today's managers is effectively leading and successfully communicating vision that inspires employees to perform. Good leadership engages people and employees who feel both engaged and enabled contribute to higher levels of growth and productivity. They will remain longer with the organisation, perform better and ultimately deliver better service to your customers. This popular 3 full-day course will equip you with key skills that you can utilise to maximise your staff's performance in line with the company's objectives. This interactive course will also empower you with strategic approaches to overcome the people challenges that you may encounter while enabling you to optimise your business strategies successfully. An ILM Recognised programme. Training Objectives What are the benefits that you will gain from attending this course? * Enhance your personal effectiveness and decision-making * Learn how to boost your influencing capability * Inspire enthusiasm, motivation and commitment * Communicate effectively across a multi-cultural team * Nurture your relationships and strengthen your team * Develop an empowering partnership team culture Target Audience Who should attend this course? Anyone involved in leading a business unit or a project team can attend. It covers relationships with host governments, contractors, suppliers and local communities which constitute critical alliances for the development of a project. This course is essential for team leaders, supervisors or managers from the following functions: Project management engineers from various technical disciplines Ad-hoc or special project team leaders in legal, technical & financial disciplines Country managers or business development officers of contractors JV management executives or officers Government officials or industry liaison officers Procurement or contracts executives or officers   Trainer Your course leader is the author of Spirit IntelligenceTM and specialises in executive leadership facilitation and management development. He gained a first class honours degree in chemical engineering from Edinburgh University in Scotland and has undertaken postgraduate studies in psychology at Macquarie University in Sydney, Australia. Your course leader's corporate career spanned 14 years in Oil and Gas with BP, Amoco and AGL. Since 1993, he has worked across five continents with more than 170 clients including Rothschild, QBE, AT&T, Intel, Towers Perrin, Thomas Cook, Fujitsu, Nortel, Frank Russell, Electrolux, Arab Bank, Cable and Wireless, GSK, Merck, Sharpe and Dome, World Vision, Ericsson, IBM, Placer Dome Gold, Jim Beam, Ernst & Young and Commonwealth Bank of Australia. He focuses on what he calls tapping The Hidden Advantage to unleash the power of the whole person - the power of the body and mind, the passion of the emotions and the enthusiasm, motivation, commitment, initiative, creativity, resilience and persistence of the spirit in business. He is very experienced internationally in both skills enhancement and the strategic facilitation of tough and intractable client challenges. His approach is pragmatic. He provides his clients with a powerful range of practical tools and approaches to enable management to tap The Hidden Advantage latent in their staff and achieve optimum performance and results. A powerful and compelling speaker, he combines humour, energy and passion. He draws on a wealth of personal experience and thorough research. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Learn the skills, knowledge and have the confidence to tackle difficult conversations in a productive way. Course overview Duration: 1 day (6.5 hours) Do you worry about how to give negative feedback or deal with performance issues? Are you concerned about giving bad news? This workshop is designed to give you the skills, knowledge and confidence to tackle these scenarios in a productive way. If you are a people manager, team leader or supervisor looking to make those challenging conversations less stressful and more effective, this workshop is for you. Lots of practical sessions will ensure you have the opportunity to relate your learning to your real life work situations. The one day session will use professional actors in the afternoon so that you can practice handling real-life challenging conversations. Objectives By the end of the course you will be able to: Deal with a wide range of challenging conversations Describe the preferred behavioural style for giving feedback State the most appropriate influencing technique to use in your situations Explain how to give successful constructive feedback Content What are challenging conversations What type of challenging conversations occur? Why do we find them challenging? Communication Practical exercise to demonstrate and act as a refresher of the fundamentals of communication Barriers to communication especially in a difficult discussion Choosing the right behavioural style Refresher of assertiveness and why it is important in this context Practical exercise demonstrating how behaviour breeds behaviour, and the impact of choosing an inappropriate style Steps to using assertive behaviour Influencing Cialdini’s model for influence How to use influencing techniques in handling challenging conversations Practical application Feedback Understanding feedback – positive vs. negative Using the ABCBC model for feedback Using the basics of emotional intelligence to give effective feedback Practical application Practical Activities Professional actors will work with you in small groups in the afternoon to practice real-life challenging conversations.

The Fintech Frontier: Why FDs Need to Know About Fintech,” the podcast where we delve into the world of financial technology There are numerous areas where fintech can make a significant impact. For example, payment processing and reconciliation can be streamlined through digital payment solutions and automated tools. Data analytics and artificial intelligence can enhance financial forecasting, risk management, and fraud detection. Blockchain technology can revolutionize supply chain finance and streamline processes involving multiple parties. By understanding the capabilities of these fintech solutions, FDs can identify areas for improvement and select the right technologies to optimise their financial operations. Additionally, fintech can greatly enhance financial reporting and analysis. Advanced data analytics tools can extract meaningful insights from vast amounts of financial data, enabling FDs to make data-driven decisions and identify trends and patterns. Automation of repetitive tasks, such as data entry and reconciliation, reduces the risk of errors and frees up valuable time for FDs to focus on strategic initiatives. The adoption of cloud-based financial management systems also provides flexibility, scalability, and real-time access to financial data, empowering FDs to make informed decisions on the go. With the rapid pace of fintech advancements, how can FDs stay up to date and navigate the evolving fintech landscape? Continuous learning and engagement with the fintech community are key. Attend industry conferences, participate in webinars and workshops, and engage with fintech startups and established players. Networking with professionals in the field, joining fintech-focused associations, and following relevant publications and blogs can help FDs stay abreast of the latest fintech developments. Embracing a mindset of curiosity and adaptability is crucial in navigating the ever-changing fintech landscape. I would also encourage FDs to foster partnerships and collaborations with fintech companies. Engage in conversations with fintech providers to understand their solutions and explore potential synergies. By forging strategic partnerships, FDs can gain access to cutting-edge technologies and co-create innovative solutions tailored to their organisation’s unique needs. As we conclude, do you have any final thoughts or advice for our FD audience regarding fintech? Embrace fintech as an opportunity, not a threat. Seek to understand its potential and how it can align with your organisation’s goals and strategies. Be open to experimentation and pilot projects to test the viability of fintech solutions. Remember that fintech is a tool to enhance and optimize financial processes, and as FDs, we have a crucial role in driving its effective implementation. https://www.fdcapital.co.uk/podcast/the-fintech-frontier-why-fds-need-to-know-about-fintech/ Tags Online Events Things To Do Online Online Conferences Online Business Conferences #event #fintech #knowledge #fds #frontier

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples

Duration 3 Days 18 CPD hours This course is intended for Attendee roles might include: Software Developers/Programmers Data Scientists Machine Learning Engineers AI Researchers User Interface (UI) and User Experience (UX) Designers Technical Product Managers Technical Team Leads Overview Working in an interactive learning environment, led by our engaging AI expert you'll: Develop a strong foundational understanding of generative AI techniques and their applications in software development. Gain hands-on experience working with popular generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models. Master the use of leading AI libraries and frameworks, such as TensorFlow, Keras, and Hugging Face Transformers, for implementing generative AI models. Acquire the skills to design, train, optimize, and evaluate custom generative AI models tailored to specific software development tasks. Learn to fine-tune pre-trained generative AI models for targeted applications and deploy them effectively in various environments, including cloud-based services and on-premises servers. Understand and address the ethical, legal, and safety considerations of using generative AI, including mitigating biases and ensuring responsible AI-generated content. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Generative AI represents an exhilarating frontier in artificial intelligence, specializing in the creation of new data instances, imitation of real data, and content generation. Its remarkable capabilities facilitate automated content creation, enriched user experiences, and groundbreaking solutions across diverse industries, ultimately fueling efficiency and transcending technological limits. By harnessing the power of generative AI, developers can craft dynamic content, produce code and documentation, refine user interfaces, and devise customized recommendations, empowering them to construct highly efficient and custom solutions for a wide range of applications. Designed for experienced programmers, Turbocharge Your Code! Generative AI Boot Camp for Developers is a three-day workshop-style course that teaches you the latest skills and tools required to master generative AI models, transforming the way you approach software development. In today's fast-paced technological landscape, generative AI has emerged as a game-changer, with leading companies like NVIDIA, OpenAI, and Google leveraging its capabilities to push the boundaries of innovation. By learning how to harness the power of generative models such as GANs, VAEs, and Transformer models, you will be able to generate code, documentation, and tests, enhance user interfaces, and create dynamic content that adapts to user needs. Our comprehensive curriculum covers everything from the fundamentals of generative AI to advanced techniques and ethical considerations, including hands-on labs where you will develop and deploy custom models using state-of-the-art AI tools and libraries like TensorFlow and Hugging Face Transformers. Throughout the course you'll focus on practical application and collaboration, building confidence with personalized guidance and real-time feedback from our expert live instructor. Upon completion, you will be equipped with the knowledge and experience necessary to develop and implement innovative generative AI models across various industries, improving existing products, creating new applications, and gaining highly-valuable skills in the rapidly advancing field of AI. Additional course details: Nexus Humans Turbocharge Your Code! Generative AI Boot Camp for Developers (TTAI2305) 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 Turbocharge Your Code! Generative AI Boot Camp for Developers (TTAI2305) 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 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture and main components of NSX Explain the features and benefits of NSX Deploy the NSX Management cluster and VMware NSX Edge™ nodes Prepare VMware ESXi™ hosts to participate in NSX networking Create and configure segments for layer 2 forwarding Create and configure Tier-0 and Tier-1 gateways for logical routing Use distributed and gateway firewall policies to filter east-west and north-south traffic in NSX Configure Advanced Threat Prevention features Configure network services on NSX Edge nodes Use VMware Identity Manager™ and LDAP to manage users and access Explain the use cases, importance, and architecture of Federation This five-day, fast-paced course provides comprehensive training to install, configure, and manage a VMware NSX© environment. This course covers key features and functionality offered in the NSX 4.0.0.1 and NSX 4.0.1 releases, including the overall infrastructure, logical switching, logical routing, networking and security services, firewalls and advanced threat prevention, and more. Course Introduction Introductions and course logistics Course objectives VMware Virtual Cloud Network and VMware NSX Introduce the VMware Virtual Cloud Network vision Describe the NSX product portfolio Discuss NSX features, use cases, and benefits Explain NSX architecture and components Explain the management, control, data, and consumption planes and their functions. Preparing the NSX Infrastructure Deploy VMware NSX© ManagerTM nodes on ESXi hypervisors Navigate through the NSX UI Explain data plane components such as N-VDS/VDS, transport nodes, transport zones, profiles, and more Perform transport node preparation and configure the data plane infrastructure Verify transport node status and connectivity Explain DPU-based acceleration in NSX Install NSX using DPUs NSX Logical Switching Introduce key components and terminology in logical switching Describe the function and types of L2 segments Explain tunneling and the Geneve encapsulation Configure logical segments and attach hosts using NSX UI Describe the function and types of segment profiles Create segment profiles and apply them to segments and ports Explain the function of MAC, ARP, and TEP tables used in packet forwarding Demonstrate L2 unicast packet flow Explain ARP suppression and BUM traffic handling NSX Logical Routing Describe the logical routing function and use cases Introduce the two-tier routing architecture, topologies, and components Explain the Tier-0 and Tier-1 gateway functions Describe the logical router components: Service Router and Distributed Router Discuss the architecture and function of NSX Edge nodes Discuss deployment options of NSX Edge nodes Configure NSX Edge nodes and create NSX Edge clusters Configure Tier-0 and Tier-1 gateways Examine single-tier and multitier packet flows Configure static routing and dynamic routing, including BGP and OSPF Enable ECMP on a Tier-0 gateway Describe NSX Edge HA, failure detection, and failback modes Configure VRF Lite NSX Bridging Describe the function of logical bridging Discuss the logical bridging use cases Compare routing and bridging solutions Explain the components of logical bridging Create bridge clusters and bridge profiles NSX Firewalls Describe NSX segmentation Identify the steps to enforce Zero-Trust with NSX segmentation Describe the Distributed Firewall architecture, components, and function Configure Distributed Firewall sections and rules Configure the Distributed Firewall on VDS Describe the Gateway Firewall architecture, components, and function Configure Gateway Firewall sections and rules NSX Advanced Threat Prevention Explain NSX IDS/IPS and its use cases Configure NSX IDS/IPS Deploy NSX Application Platform Identify the components and architecture of NSX Malware Prevention Configure NSX Malware Prevention for east-west and north-south traffic Describe the use cases and architecture of VMware NSX© Intelligence? Identify the components and architecture of VMware NSX© Network Detection and Response? Use NSX Network Detection and Response to analyze network traffic events. NSX Services Explain and configure Network Address Translation (NAT) Explain and configure DNS and DHCP services Describe VMware NSX© Advanced Load Balancer? architecture, components, topologies, and use cases. Configure NSX Advanced Load Balancer Discuss the IPSec VPN and L2 VPN function and use cases Configure IPSec VPN and L2 VPN using the NSX UI NSX User and Role Management Describe the function and benefits of VMware Identity Manager? in NSX Integrate VMware Identity Manager with NSX Integrate LDAP with NSX Identify the various types of users, authentication policies, and permissions Use role-based access control to restrict user access Explain object-based access control in NSX NSX Federation Introduce the NSX Federation key concepts, terminology, and use cases. Explain the onboarding process of NSX Federation Describe the NSX Federation switching and routing functions. Describe the NSX Federation security concepts.

Course Overview This "Microsoft Power BI - Master Power BI in 90 Minutes!" course offers a concise yet comprehensive introduction to Power BI, empowering learners to quickly create and manage data dashboards. The course is designed for both newcomers and those looking to enhance their skills, covering essential topics to help users understand and utilise Power BI for data analysis and reporting. Upon completion, learners will gain the ability to design dynamic dashboards, manipulate data, and visualise trends, providing valuable insights for decision-making in various business environments. Course Description This course takes learners through Power BI’s core functionalities, starting with an introduction to the platform before advancing to building basic and sophisticated dashboards. Learners will explore key aspects such as data import, filtering, and the creation of interactive visuals. By working with live data, participants will develop an understanding of how to generate real-time reports, enhancing their ability to analyse data and derive insights. The course offers both beginner and advanced concepts, ensuring that all participants can apply what they’ve learned to real-world data scenarios. Upon completing the course, learners will feel confident in their ability to utilise Power BI to its full potential in any business context. Course Modules Module 01: Power BI - Introduction Module 02: Your First Power BI Dashboard Module 03: Your Advanced Power BI Dashboard with Real Live Data Module 04: Course Bonuses (See full curriculum) Who is this course for? Individuals seeking to enhance their data analysis skills. Professionals aiming to improve data visualisation and reporting capabilities. Beginners with an interest in business intelligence or data management. Anyone looking to gain insights into data-driven decision-making. Career Path Business Intelligence Analyst Data Analyst Data Visualisation Specialist Marketing Data Analyst Financial Analyst