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Duration 3 Days 18 CPD hours This course is intended for The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator 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. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Network Video Engineer Voice/UC/Collaboration/Communications Engineer Collaboration Tools Engineer Collaboration Sales/Systems Engineer Overview Implement and Configure Cisco Endpoints Implement and Configure Cisco Unified Communications Manager for Video Endpoints Implement and Configure Cisco IMP for Jabber Implement and Configure Cisco Expressway Implement and Configure Cisco Video Communications Server (VCS) Control Implement and Configure Cisco Video Communications Server (VCS) Expressway Implement and Configure connectivity between a Cisco VCS and Cisco UCM Implement and Configure a Cisco Conductor Implement, Configure, and Operate Cisco TelePresence Management Suite (TMS) and provision devices using Cisco TMS Provisioning Extension (TMSPE) Implement and Configure Cisco Meeting Server This one of kind Cisco Collaboration in-depth course takes student from initial endpoint configuration to a full solution deployment using all of the Cisco Collaboration Components. Students will have extensive labs in which they will configure and troubleshoot a full Cisco Telepresence Deployment. Participants will gain in-depth practical knowledge with exercises on installing, configuring, maintaining and troubleshooting of all Cisco Telepresence Components.The software applications that are covered in this course include:Cisco Unified Communications Manager (CUCM)Cisco Unified Communications Manager IM and PresenceCisco ExpresswayCisco Video Communication Server (VCS)Cisco ConductorCisco Telepresence Server (TS)Cisco Meeting Server (CMS)Cisco Telepresence Management Suite (TMS)Cisco TMS Extensions Understanding Cisco TelePresence Endpoints Cisco TelePresence Endpoint Solutions Overview Cisco DX Series Endpoint Characteristics Cisco TelePresence TC Software-Based Endpoint Characteristics Cisco TelePresence EX60 and EX90 Cisco TelePresence MX Series Cisco TelePresence SX Series Endpoints Cisco TelePresence Room Kits Cisco Intelligent Proximity Cisco TelePresence TC Software-Based Endpoint Peripherals Cisco TelePresence TC Software-Based Endpoint Deployments Cisco TelePresence Integrator C Series-Based Endpoints Cisco Jabber Video for TelePresence Characteristics Cisco Jabber Understanding the Cisco Video Network Network Overview H323 Overview SIP Overview VCS vs Unified Communications Manager Internetworking QOS Overview Implementing and Configuring Unified Communication Manager Unified Communications Manager Initial Settings Service Activation Enterprise and Service Parameters SIP Domains Configure IMP for Jabber Configure Jabber Settings Registering Endpoints Verifying Network Registration Cisco VCS / Expressway Overview and Configuration Configuring Initial VCS Setting Configuring Authentication Registration Conflict Policy Registration Restriction Policy Local Zone Components Membership Rules Transforms Purpose of Zones Search Priority Neighbor Zones Creating Neighbor Zones Need for Traversal Zones H.460 and Assent Protocols Traversal Zone Configuration Domain Name System Dialing E.164 Number Mapping Bandwidth Management Pipes Subzones and Zones Subzone Call Failure Call Processing Order Certificates Certificate Installation Clustering and the Cisco VCS Clustering Configuration Collecting Information Log Files Search History Connecting VCS-C to CUCM Connect VCS-C to VCS-E Connecting CUCM to VCS-C Understanding the Cisco TelePresence Conductor What is Conductor? Conductor ? How it works Installing Cisco Conductor Configuring Conductor Network Settings Configuring Conductor for a CUCM Configuration MCU Configuration Telepresence Server Telepresence Conductor Server Configuration Configuring TelePresence Conductor for ad hoc conferences Configuring TelePresence Conductor for rendezvous conferences Configuring Unified CM Configuring general settings on Unified CM Locations in Unified CM Unified CM trusts TelePresence Conductor's server certificate SIP trunk security profile Configuring Unified CM for rendezvous conferences Sip Trunk Configuration Conference Bridge Configuration MRG and MRGL Configuration Unified CM normalization scripts Configuring Unified CM for ad hoc conferences Sip Trunk Configuration Route pattern to match the SIP Trunk Configuration Unified CM normalization scripts Configuring the Cisco VCS with TelePresence Conductor Designing a Dial Plan MCU Configuration Telepresence Server Configuring the Cisco VCS Telepresence Conductor Server Configuration Backing Up Conductor Troubleshooting Conductor Overview of Cisco Telepresence Management Server (TMS) Windows Server Installation SQL Server Installation Server Pre-requisites and configuration Installing TMS Installing TMS Provisioning Extensions Initial Configuration Endpoint Configuration Adding Systems to TMS Configuration Templates Setting Configuration VCS Configuration for TMS Direct Endpoint Management VCS/TMS CUCM Configuration for TMS Direct Endpoint Management?CUCM Phonebooks & Phonebook Sources Conference Creation Advanced Conference Settings Booking & Scheduling Participant Types Methods Conference Monitoring Dial Plans, Configuration Templates Scheduler/Smart Scheduler Managing and Troubleshooting Cisco TMS Using the Logs Cisco TMS Ticketing System Troubleshooting VCS Registrations Troubleshooting CUCM Registrations System Maintenance Configuring Cisco Meeting Server (formerly Acano) Setting up CMS Installing Certificates Configuring CUCM with CMS Provision the RTC Client Configuring Meeting Spaces Additional course details: Nexus Humans Advanced TP-CT - Implementing and Configuring Cisco TelePresence Video Suite 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 TP-CT - Implementing and Configuring Cisco TelePresence Video Suite 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 "Adobe Lightroom CC" course offers learners an in-depth understanding of the powerful photo editing and organising tools within Adobe Lightroom CC. This course is designed to help individuals at all levels develop proficiency in managing and editing their images efficiently. It covers both the Lightroom Classic CC and Lightroom CC applications, offering learners insights into non-destructive editing techniques, file management, and advanced photo adjustments. Upon completion, learners will be equipped to enhance their photography workflow, ensuring that they can bring their creative visions to life with ease. Course Description This comprehensive course covers key areas of Adobe Lightroom CC, including the differences between Lightroom Classic CC and Lightroom CC, and their respective strengths. Learners will explore how to organise and edit photos using a variety of features such as editing tools, presets, and colour corrections. Additionally, learners will gain knowledge on how to submit photos efficiently within Lightroom and learn best practices for organising a photo library. Throughout the course, participants will develop the skills necessary to refine their editing abilities, increase productivity, and optimise their overall workflow in a professional photography environment. Course Modules Module 01: Lightroom Classic CC Module 02: Lightroom CC Module 03: Photo Submission (See full curriculum) Who is this course for? Individuals seeking to enhance their photo editing skills. Professionals aiming to streamline their photo management and editing processes. Beginners with an interest in photography and photo editing. Photography enthusiasts wanting to optimise their Lightroom workflow. Career Path Professional Photographer Photo Editor Graphic Designer Digital Imaging Specialist Content Creator Photography Studio Assistant

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.

An exciting 10-week course to build your Spanish skills from scratch. Practical applications for travel & conversation. Enlarge your vocabulary, improve your grammar in a pain-free, step-by-step way, working with a tutor with 10+ years' experience & a small group of learners.

An exciting 10-week course to build your Spanish skills from scratch. Practical applications for travel & conversation. Enlarge your vocabulary, improve your grammar in a pain-free, step-by-step way, working with a tutor with 10+ years' experience & a small group of learners.

Duration 5 Days 30 CPD hours This course is intended for This course will help you: Prepare for entry-level job roles in the high-demand area of data center environments Prepare for courses that support the Cisco Certified Network Professional Data Center certification exams Gain knowledge and hands-on skills through Cisco's unique combination of lessons and hands-on practice using enterprise-grade Cisco learning technologies, data center equipment, and software Overview After taking this course, you should be able to: Describe the foundations of data center networking Describe Cisco Nexus products and explain the basic Cisco NX-OS functionalities and tools Describe Layer 3 first-hop redundancy Describe Cisco Fabric Extender (FEX) connectivity Describe Ethernet port channels and virtual port channel (VPCs) Introduce switch virtualization, machine virtualization, and network virtualization Compare storage connectivity options in the data center Describe Fibre Channel communication between the initiator server and the target storage Describe Fibre Channel zone types and their uses Describe N-Port Virtualization (NPV) and N-Port Identifier Virtualization (NPIV) Describe data center Ethernet enhancements that provide a lossless fabric Describe Fibre Channel over Ethernet FCoE Describe data center server connectivity Describe Cisco UCS Manager Describe the purpose and advantages of APIs Describe Cisco ACI Describe the basic concepts of cloud computing The Understanding Cisco Data Center Foundations (DCFNDU) v1.0 course helps you prepare for entry-level data center roles. In this course, you will learn the foundational knowledge and skills you need to configure Cisco© data center technologies including: networking, virtualization, storage area networking, and unified computing. You will get an introduction to Cisco Application Centric Infrastructure (Cisco ACI), automation and cloud computing. You will get hands-on experience with configuring features on Cisco Nexus Operating System (Cisco NX-OS) and Cisco Unified Computing System (Cisco UCS). This course also earns you 30 Continuing Education (CE) credits towards recertification. Describing the Data Center Network Architectures Cisco Data Center Architecture Overview Three-Tier Network: Core, Aggregation, and Access Spine-and-Leaf Network Two-Tier Storage Network Describing the Cisco Nexus Family and Cisco NX-OS Software Cisco Nexus Data Center Product Overview Cisco NX-OS Software Architecture Cisco NX-OS Software CLI Tools Cisco NX-OS Virtual Routing and Forwarding Describing Layer 3 First-Hop Redundancy Default Gateway Redundancy Hot Standby Router Protocol Virtual Router Redundancy Protocol Gateway Load Balancing Protocol Describing Cisco FEX Server Deployment Models Cisco FEX Technology Cisco FEX Traffic Forwarding Cisco Adapter FEX Describing Port Channels and VPCs Ethernet Port Channels Virtual Port Channels Supported VPC Topologies Describing Switch Virtualization Cisco Nexus Switch Basic Components Virtual Routing and Forwarding Cisco Nexus 7000 Virtual Device Contexts (VDCs) VDC Types VDC Resource Allocation VDC Management Describing Machine Virtualization Virtual Machines Hypervisor VM Manager Describing Network Virtualization Overlay Network Protocols Virtual Extensible LAN (VXLAN) Overlay VXLAN Border Gateway Protocol (BGP) Ethernet VPN (EVPN) Control Plane VXLAN Data Plane Cisco Nexus 1000VE Series Virtual Switch VMware vSphere Virtual Switches Introducing Basic Data Center Storage Concepts Storage Connectivity Options in the Data Center Fibre Channel Storage Networking Virtual Storage Area Network (VSAN) Configuration and Verification Describing Fibre Channel Communication Between the Initiator Server and the Target Storage Fibre Channel Layered Model Fabric Login (FLOGI) Process Fibre Channel Flow Control Describing Fibre Channel Zone Types and Their Uses Fibre Channel Zoning Zoning Configuration Zoning Management Describing Cisco NPV Mode and NPIV Cisco NPV Mode NPIV Mode Describing Data Center Ethernet Enhancements Institute of Electrical and Electronic Engineers (IEEE) Data Center Bridging Priority Flow Control Enhanced Transmission Selection Data Center Bridging Exchange (DCBX) Protocol Congestion Notification Describing FCoE Cisco Unified Fabric FCoE Architecture FCoE Initialization Protocol FCoE Adapters Describing Cisco UCS Components Physical Cisco UCS Components Cisco Fabric Interconnect Product Overview Cisco I/O Module (IOM) Product Overview Cisco UCS Mini Cisco Integrated Management Controller (IMC) Supervisor Cisco Intersight? Describing Cisco UCS Manager Cisco UCS Manager Overview Identity and Resource Pools for Hardware Abstraction Service Profiles and Service Profile Templates Cisco UCS Central Overview Cisco HyperFlex? Overview Using APIs Common Programmability Protocols and Methods How to Choose Models and Processes Describing Cisco ACI Cisco ACI Overview Multitier Applications in Cisco ACI Cisco ACI Features VXLAN in Cisco ACI Unicast Traffic in Cisco ACI Multicast Traffic in Cisco ACI Cisco ACI Programmability Common Programming Tools and Orchestration Options Describing Cloud Computing Cloud Computing Overview Cloud Deployment Models Cloud Computing Services Additional course details: Nexus Humans Cisco Understanding Cisco Data Center Foundations v1.1 (DCFNDU) 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 Cisco Understanding Cisco Data Center Foundations v1.1 (DCFNDU) 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 "Stock Trading Analysis with Volume Trading" is designed to provide learners with a comprehensive understanding of how to leverage volume analysis in stock trading. This course covers essential volume indicators, strategies, and techniques, empowering learners to make informed trading decisions. The course aims to enhance trading skills by explaining how volume trends can influence stock price movements, offering learners practical insights into market behaviour. By the end of the course, learners will have the ability to interpret volume data, use it to spot market trends, and apply it within their trading strategies, enhancing their confidence and decision-making capabilities in stock trading. Course Description This course delves into the critical aspect of volume analysis in stock trading, providing a thorough exploration of how trading volume can provide valuable market insights. Learners will study various volume indicators and their applications, uncover trading strategies that incorporate volume as a key factor, and gain the skills necessary to identify profitable market movements. The course also includes practical examples and analysis to demonstrate how volume impacts stock trends, while familiarising learners with the tools used in volume trading. By completing this course, learners will develop the expertise to utilise volume trading strategies to enhance their trading performance and make more informed decisions in real-time market scenarios. Course Modules Module 01: Volume Analysis Module 02: Volume Studies and Indicators Module 03: Volume Trading Strategies and Techniques Module 04: Examples and Analysis Module 05: Trading Platform (See full curriculum) Who is this course for? Individuals seeking to enhance their stock trading skills Professionals aiming to develop expertise in volume trading strategies Beginners with an interest in stock market analysis Anyone looking to understand the role of volume in trading decisions Career Path Stock Trader Financial Analyst Investment Advisor Trading Platform Specialist Portfolio Manager

Course Overview This course on "Capital Budgeting & Investment Decision Rules" provides a comprehensive foundation in the key concepts and techniques used in evaluating long-term investments. Covering fundamental methods such as Net Present Value (NPV), Payback Period, and Internal Rate of Return (IRR), the course explores how businesses make critical decisions on capital allocation. Learners will gain a deep understanding of the tools used to assess the financial viability of projects, ensuring they can apply these methods in real-world situations. This course is designed to equip professionals with the knowledge to evaluate investment opportunities effectively and contribute to strategic decision-making. Course Description The "Capital Budgeting & Investment Decision Rules" course delves into essential financial decision-making techniques used by organisations to evaluate potential investments. Topics include the NPV method, Payback Period, IRR, and how to assess projects with varying timelines. Learners will explore the advantages and limitations of each method and understand their applications in different business contexts. The course also covers the evaluation of projects with different durations and how to select the best investment strategies to achieve organisational goals. Through this learning experience, participants will acquire the analytical skills necessary to make informed capital budgeting decisions, ultimately strengthening their financial decision-making acumen. Course Modules Module 01: Introduction Module 02: NPV Method Module 03: Payback Period Method Module 04: Internal Rate of Return (IRR) Module 05: Evaluating Projects in Different Lives Module 06: Conclusion (See full curriculum) Who is this course for? Individuals seeking to understand capital budgeting methods. Professionals aiming to enhance their financial analysis skills. Beginners with an interest in finance and investment decision-making. Anyone looking to develop their knowledge in investment evaluation techniques. Career Path Financial Analyst Investment Analyst Corporate Finance Professional Project Manager Risk Manager Business Consultant

Duration 5 Days 30 CPD hours This course is intended for This hands-on course is geared for experienced DBAs with basic Oracle 19c skills. Overview This course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs andexercises. Working in a hands-on learning environment led by our expert facilitator, students will explore: Creating CDBs and Regular PDBs Managing CDBs and PDBs Backup and Duplicate Upgrading and Transporting CDBs and Regular PDBs Backup Strategies and Terminology Restore and Recovery Concepts Using Flashback Technologies Duplicating a Database Installing Grid Infrastructure and Oracle Database Patching Grid Infrastructure and Oracle Database Upgrading to Oracle Grid Infrastructure Using General Overall Database Enhancements Monitoring and Tuning Database Performance Managing Application PDBs Managing Security in Multitenant databases Recovery and Flashback Configuring and Using RMAN Diagnosing Failures Performing Recovery Transporting Data RMAN Troubleshooting and Tuning Creating an Oracle Database by using DBCA Oracle Restart Upgrading the Oracle Database Installing Grid Infrastructure for a Standalone server Using Availability Enhancements Tuning SQL Statements Geared for participants experienced with Oracle 19c DBA essentials Oracle 19c Database Administration II (Oracle DBA II) expands their understanding of Oracle database administration. Throughout the course students will explore coverage of Multitenant (CDB/PDB), database tuning, SQL tuning, and backup and recovery: the skills needed to keep a database running reliably and efficiently. The current release of the database is used for exercises and demonstrations, and the content back-ported as necessary for previous releases. Creating CDBs and Regular PDBs Configure and create a CDB Create a new PDB from the CDB seed Explore the structure of PDBs Manage CDBs and PDBs Manage PDB service names and connections Manage startup, shutdown and availability of CDBs and PDBs Change the different modes and settings of PDBs Evaluate the impact of parameter value changes Performance management in CDBs and PDBs Control CDB and PDB resource usage with the Oracle Resource Manager Backup and Duplicate Perform Backup and Recover CDBs and PDBs Duplicate an active PDB Duplicate a Database Upgrading and Transporting CDBs and Regular PDBs Upgrade an Oracle Database Transport Data Backup Strategies and Terminology Perform Full and Incremental Backups and Recoveries Compress and Encrypt RMAN Backups Use a media manager Create multi-section backups of exceptionally large files Create duplexed backup sets Create archival backups Backup of recovery files Backup non database files Back up ASM meta data Restore and Recovery Concepts Employ the best Oracle Database recovery technology for your failure situation Describe and use Recovery technology for Crash, Complete, and Point-in-time recovery Using Flashback Technologies Configure your Database to support Flashback Perform flashback operations Duplicating a Database Duplicate Databases Install Grid Infrastructure and Oracle Database Install Grid Infrastructure for a Standalone server Install Oracle Database software Patching Grid Infrastructure and Oracle Database Patch Grid Infrastructure and Oracle Database Upgrading to Oracle Grid Infrastructure Upgrade Oracle Grid Infrastructure Using General Overall Database Enhancements Install Oracle Database software Create, Delete and Configure Databases using DBCA Creating CDBs and Regular PDBs Use Miscellaneous 19c New Features Monitoring and Tuning Database Performance Managing Memory Components Understanding the Automatic Workload Repository (AWR) Understanding the Advisory Framework Monitoring Wait Events, Sessions, and Services Managing Metric Thresholds and Alerts Understanding and Using the Performance Tuning Methodology Performing Performance Planning Understanding the Automatic Database Diagnostic Monitor (ADDM) Manage Application PDBs Explain the purpose of application root and application seed Define and create application PDBs Install, upgrade and Patch applications Create and administer Application PDBS Clone PDBs and Application containers Plug and unplug operations with PDBs and application containers Comparing Local Undo Mode and Shared Undo Mode Manage Security in Multitenant databases Manage Security in Multitenant databases Manage PDB lockdown profiles Audit Users in CDBs and PDBs Manage other types of policies in application containers Recovery and Flashback Restore and Recovering Databases with RMAN Perform CDB and PDB flashback Configuring and Using RMAN Configure RMAN and the Database for Recoverability Configure and Using an RMAN recovery catalog Diagnosing Failures Detect and repair database and database block corruption Diagnosing Database Issues Performing Recovery Restore and Recovering Databases with RMAN Perform Non RMAN database recovery Transporting Data Transport Data RMAN Troubleshooting and Tuning Interpret the RMAN message output Diagnose RMAN performance issues Creating an Oracle Database by using DBCA Create, Delete and Configure Databases using DBCA Oracle Restart Configure and use Oracle Restart to manage components Upgrade the Oracle Database Plan for Upgrading an Oracle Database Upgrade an Oracle Database Perform Post-Upgrade tasks Install Grid Infrastructure for a Standalone server Rapid Home Provisioning Using Availability Enhancements Use an RMAN recovery catalog Use Flashback Database Tuning SQL Statements Understanding the Oracle Optimizer Using the SQL Tuning Advisor Managing Optimizer Statistics Using the SQL Access Advisor Understanding the SQL Tuning Process Additional course details: Nexus Humans Oracle 19c Database Administration II (DBA II) (TTOR20619) 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 Oracle 19c Database Administration II (DBA II) (TTOR20619) 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.