Duration 3 Days 18 CPD hours This course is intended for All persons interested in getting an overview of SAP?s Business Suite solutions. Overview Identify SAP Applications and ComponentsExplain basic functionality of SAP SolutionsAttend more detailed SAP courses and have the required baseline knowledge In this course, students identify SAP applications and components, as well as learn how to explain basic functionality of SAP Solutions. SAP - A Cloud Company Identifying SAP Applications and Components Outline the Functionality of SAP Cloud-Enabling Applications Outlining New SAP Functionality Outline the usage and functionality of SAP HANA Outline the usage and functionality of Cloud for Customer Describe the various aspects of SAP User Experience SAP System Navigation Accessing the SAP System Personalizing the User Interface System-Wide Concepts Identifying SAP Organizational and Master Data Elements Logistics Creating a Purchase Order for Materials Using Supplier Relationship Management (SRM) for Procurement and Sourcing Processes Integrating Ariba Functionality with Procurement in SAP Enterprise Resource Planning (ERP) Creating a Planned Order Processing Production Orders Using Supply Chain Management (SCM) to Manage Supply and Demand Creating Sales Orders Creating a Delivery and Posting a Goods Issue Creating Sales Order Billing Documents Using Customer Relationship Management (CRM) Using Product Lifecycle Management (PLM) Financials Identifying Financial Accounting Processes Using Financial Add-Ons for SAP Business Suite Creating a Journal Entry in the General Ledger Outlining the Outbound Payments Process in Accounts Payable Generating Financial Statements Outlining the Inbound Process in Accounts Receivable Outlining the Business Processes in Fixed Assets Accounting Analyzing Internal Costs in Management Accounting Monitoring Manufacturing Costs Analyzing Profitability Human Capital Management (HCM) Identifying the Components of SAP Enterprise Resource Planning (ERP) HCM Outlining the HR Renewal Functionality Integrating SuccessFactors in the Cloud Analytics and Strategic Planning Executing Analytics and Strategic Planning Reports SAP Services Accessing SAP Services
Duration 2 Days 12 CPD hours This course is intended for Built for experienced IT Professionalsworking with Citrix Virtual Appsand Desktops who need to plan for,implement, or manage a ProvisioningServices environment. Potential studentsinclude administrators, engineers, andarchitects. Overview #NAME? In this course, students will learn to install and configure a highly available Citrix Provisioning farm according to leading practices. In this course, students will learn about the architecture, communication, and processes that make up Citrix Provisioning to be successful with deploying and managing a farm. Manage and integrate vDisks and target devices with Citrix Virtual Apps and Desktops for easy rollback, upgrades, and performance of Virtual Delivery Agent machines. At the end of this course students will be able to install, configure and manage the CitrixProvisioning 7 solution. Advanced Provisioning Learning Objectives Introduction to Citrix Provisioning (PVS) Getting Started with Citrix Provisioning Citrix Provisioning Architecture Citrix Provisioning Infrastructure Lab VM Power Management Learning Objectives The Citrix Provisioning Server The Farm Database The Store Streaming the vDisk Lab VM Power Management Learning Objectives vDisk Introduction Master Target Device Preparation Streaming Introduction Boot Methods Target Devices Lab VM Power Management Learning Objectives Target Devices Introduction Reads and Writes Machine and User Data Integrating Citrix Provisioning with Citrix Virtual Apps and Desktops Lab VM Power Management Learning Objectives The Complete Architecture Overview The Citrix Virtual Desktops Setup Wizard Manage the Target Devices through Creating Device Collections Using Provisioned Services with Citrix Virtual Apps and Desktops Managing Citrix Provisioning from Citrix Cloud Advanced Architecture Lab VM Power Management Learning Objectives Farm Component Scalability Store Redundancy Farm Database Redundancy Supporting Citrix Provisioning Lab VM Power Management Learning Objectives vDisk Updates Delegate Administration Audit and Support Alternative vDisk Update Methods
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Duration 3 Days 18 CPD hours This course is intended for Application Consultants and Program Managers Overview Participants learn about the SAP Activate methodology in agile implementation techniques in SAP projects.The course enables participants to apply the Agile techniques in their projects through project use cases and simulations.This class is highly interactiveThis course complements agile courses from other providers, like Certified Scrum Master and/or PMI-ACP training. In this course, students will gain knowledge on how to use techniques in SAP projects. The Basics Agile and SCRUM 101 Introduction to SAP Activate Agile Project Fit Starting Agile Roles and Responsibilities Agile Project Organisation Prepare Agile Project Backlog Explore Phase Overview Create Product Backlog Definition of Done Iterative Build Release Planning Sprint Cycle Testing and Deploy Summary of Key Points Summary and key points Appendices Agile Manifesto Agile Use Cases Agile Fit Questions Agile Lean Design Templates Agile and SAP Solution Manager Additional course details: Nexus Humans ACT200 SAP Agile Project Delivery 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 ACT200 SAP Agile Project Delivery 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 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.
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Duration 1 Days 6 CPD hours This course is intended for This course is designed for people who need to use Microsoft Teams to communicate, share files, and conduct online meetings with colleagues. No experience with Teams is required; however, a basic understanding of Office apps will be useful. Overview In this course, you will use Microsoft Teams to communicate and collaborate with your colleagues. You will: Send messages to colleagues using Teams. Call and meet with people in Teams. Lead a meeting. Configure your Teams environment. Share files and app content. Create and configure Teams. This course is designed to help you master Microsoft© Teams©, the key communications tool in the suite of Microsoft© 365© productivity apps. Microsoft Teams enables individuals and organizations to chat, share ideas, collaborate on files, and essentially, work together. You can use Teams to have a quick chat with a colleague, participate in a virtual meeting, make an online call, and share files and resources. The Microsoft Teams app is available in three versions: a desktop app, a web app, and a mobile app. Once you are familiar with the Teams desktop app, you can easily transfer that knowledge and work in the web and mobile apps to take advantage of connecting through Teams wherever your work takes you. Messaging Colleagues Using Teams Topic A: Navigate in Teams Topic B: Chat with Contacts Topic C: Post in Team Channels Calling and Meeting in Teams Topic A: Call People in Teams Topic B: Meet in Teams Leading Meetings in Teams Topic A: Conduct Presentations Topic B: Manage Meetings Configuring Your Teams Environment Topic A: Configure General Application Settings Topic B: Configure Notifications and Privacy Settings Topic C: Configure Call and Device Settings Sharing Files and App Content in Teams Topic A: Share Files Topic B: Add Apps and Connectors Creating and Configuring Teams Topic A: Create and Manage a Team Topic B: Create and Configure Channels Topic C: Add and Configure Channel Tabs
Duration 2 Days 12 CPD hours This course is intended for This course is designed for students with previous Citrix ADC experience, and best suited for individuals who will be deploying Citrix Application Delivery Management to administer a Citrix Networking environment or optimize Citrix ADC-managed application delivery traffic. Overview Manage multiple Citrix ADC platforms centrallyOrchestrate configuration changesReport on transactions passing through the Citrix ADC environmentVisualize infrastructure and plan expansion Master the deployment and usage of Citrix Application Delivery Management with this two-day management and optimization course. Students will gain the skills needed to automate and manage network services for scale out of application architectures, and to optimize Citrix ADC-managed application delivery traffic. The curriculum focuses on centrally managing multiple Citrix ADC platforms, orchestrating configuration changes, reporting on transactions, visualizing infrastructure and planning infrastructure expansion. Students will also learn how to implement Citrix ADC features, including caching, frontend optimization, Citrix ADC web logging and TCP/HTTP optimization, to optimize traffic managed by your Citrix networking environment. Citrix Application Delivery Management Introduction An introduction to Application Delivery Management Application Delivery Management Deployment and Configuration Deploying Application Delivery Management in High Availability Application Delivery Management Instance Management Managing and Monitoring Application Delivery Management An introduction to Application Delivery Management Application Delivery Management Deployment and Configuration Deploying Application Delivery Management in High Availability Application Delivery Management Instance Management Managing Citrix ADC Configuration Application Management StyleBooks Configuration Management Citrix ADC Web Logging Understanding Web Traffic Installing and configuring Citrix ADC Web Logging Troubleshooting Citrix ADC Web Logging Citrix ADC Integrated Caching Introduction to Integrated Caching Static and Dynamic Content Request and Response Process Flow Understanding Cache Policies Identifying Content Group Settings Front-End Optimization Improving Content Delivery Front-End Optimization Use Cases Understanding Minification CSS Optimizations Tuning and Optimizations Connections on the Citrix ADC Connection Profiles Queuing on the Citrix ADC Connection Tuning Practices