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Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Course Overview "JavaScript for Everyone" offers a comprehensive introduction to one of the most essential programming languages used in web development. This course covers the fundamental concepts of JavaScript, allowing learners to build dynamic, interactive websites. Students will gain a solid understanding of core JavaScript principles such as variables, loops, functions, and objects, as well as more advanced topics like cookies, page redirection, and error handling. By the end of the course, learners will be equipped with the skills to implement JavaScript in real-world projects, enhancing the interactivity and functionality of websites. Course Description This course provides an in-depth exploration of JavaScript, focusing on both basic and advanced topics. It begins with an introduction to key programming concepts before diving into areas such as conditional statements, functions, and events. Learners will discover how to work with JavaScript objects, arrays, and built-in objects like Number, Boolean, and String. Additionally, the course covers important aspects like page redirection, pop-up boxes, and validation techniques. By the end, students will be proficient in JavaScript debugging, error handling, and using regular expressions, with a clear understanding of how to apply JavaScript in web development projects. Course Modules Module 01: Introduction Module 02: Basic Concepts on JavaScript Module 03: Conditional and Switch Statements Module 04: JS Functions Module 05: JS Events Module 06: JS Cookies Module 07: JS Page Redirection Module 08: JS Popup Boxes Module 09: JS Void Module 10: JS Print Module 11: JS Objects Module 12: JS Number Object Module 13: JS Boolean Object Module 14: JS String Object Module 15: JS Arrays Module 16: JS Dates Module 17: JS Math and Reg Exp Module 18: JS Browsers and Summary Module 19: JS Debugging Module 20: JS Errors Module 21: JS Validations (See full curriculum) Who is this course for? Individuals seeking to develop web development skills. Professionals aiming to enhance their programming knowledge. Beginners with an interest in web development or JavaScript. Anyone looking to gain a foundational understanding of programming languages. Career Path Web Developer Front-End Developer JavaScript Developer Software Engineer Full-Stack Developer Web Application Developer

Course Overview This course, "Logo Animation Fundamentals," provides a comprehensive introduction to the essential concepts of logo animation. It covers the tools, techniques, and principles needed to create impactful animated logos. Learners will explore animation software, with a focus on the use of effects to bring logos to life, making them engaging and visually striking. By the end of the course, learners will be able to produce high-quality logo animations that can enhance branding efforts across digital platforms. The course also offers valuable insights into industry practices, enabling learners to develop a solid foundation in this creative field. Course Description In this course, learners will delve into the basics of logo animation, starting with an understanding of the key principles of animation. They will explore the process of animating logos using advanced tools such as Adobe After Effects and the Saber plugin. The course also covers the history and evolution of animation, providing context to its current use in modern branding. With each module, learners will enhance their skills in design and animation, enabling them to create dynamic and professional logo animations. This course is ideal for those who wish to incorporate animation into branding or add this valuable skill to their creative toolkit. Learners will gain a thorough understanding of logo animation techniques and develop a portfolio-ready project. Course Modules: Module 01: Introduction Overview of logo animation Importance of logo animation in branding Module 02: Logo Animation Basic principles of animation Tools for animating logos Exploring different animation styles Module 03: Logo Animation Using Saber Introduction to the Saber plugin Step-by-step guide to creating glowing logo effects Integrating advanced effects into logo animation Module 04: Background of Animation The history and evolution of animation The role of animation in modern media Module 05: Outro Key takeaways and next steps for further learning Final thoughts and project wrap-up (See full curriculum) Who is this course for? Individuals seeking to enhance their branding skills with animation. Professionals aiming to expand their expertise in motion graphics and design. Beginners with an interest in animation and digital design. Marketing and branding specialists looking to integrate animated logos into campaigns. Career Path Motion Graphic Designer Animation Specialist Branding Consultant Visual Designer Digital Marketing Professional

Duration 4 Days 24 CPD hours This course is intended for System installersSystem integratorsSystem administratorsNetwork administratorsSolutions designers Overview After completing this course, you should be able to:Explain transactional service activation and how it relates to business requirementsExplain the benefits and uses of Cisco NSOExplain how Cisco NSO communicates with network devicesUnderstand the NETCONF protocol and be able to read and write simple YANG modelsInstall NSO and describe how NSO uses NETCONF and the Device Manager componentUnderstand the difference between devices that are fully NETCONF capable and those that are less or not NETCONF capableExplain the YANG service model structureDescribe how YANG is used with NSO, create and deploy a service, and explain NSO FASTMAPDesign and manage services with YANG modelsPerform NSO configuration and basic troubleshooting, and describe the following NSO features: integration options, alarms and reporting, scalability and performance options, and available function packsUse logs to troubleshoot the Cisco NSO deployment and check NSO communication with network devicesExplain the mapping logic of service parameters to device models and consequently to device configurationsDescribe the use of different integration options and APIsExplain the use of Reactive FASTMAP for manipulating and implementing advanced Network Functions Virtualization (NFV) componentsDescribe the use of feature components and function packsDefine and explain the European Telecommunications Standards Institute (ETSI) Open Source NFV Management and Orchestration (MANO) principles and solutionWork with the alarm console, and understand the NSO alarm structure and how it conforms to modern network operations procedures The Cisco NSO Essentials for Programmers and Network Architects (NSO201) course introduces you to Cisco© Network Services Orchestrator (NSO). You will learn to install Cisco NSO and use it to manage devices and create services based on YANG templates with XPath. This course provides a brief overview of NSO as a network automation solution, as well as an introduction to NETCONF, YANG, and XPath. You will learn about service packages, network element drivers, and Application Programming Interfaces (APIs). The course also covers service creation, device and configuration management, NSO maintenance, NSO options and integrations, and basic NSO troubleshooting. Introduction to Cisco NSO Meeting Challenges with Orchestration Challenges of Network Management Challenges of Network Orchestration NSO Features and Benefits That Meet Challenges Standardized Approach What Is NSO? Logical Architecture Components What Does NSO Do? Orchestration Use Cases How Does NSO Work? Introduction to NETCONF and YANG Packages Mapping Logic Network Element Drivers (NEDs) Resources and Training Resources Training Get Started with Cisco NSO Installing Cisco NSO Setup Overview Cisco NSO Local Installation Installing NEDs Using NetSim NETCONF Overview Challenges of Network Management Introduction to NETCONF NETCONF Operation Device Manager Device Manager Overview Device Configuration Management Device Connection Management Templates and Groups Other Device Management Tools Service Manager Essentials YANG Overview Introduction to YANG Other Representations of YANG Data Types XPath Overview Basic YANG Statements Can You Spot the Error? Using Services Package Architecture Creating a Service Package Sample Service Configuration Service Template YANG Service Model Deploying a Service Model-to-Model Mapping Mapping Introduction Mapping Logic FASTMAP Template Processing Service Design and Cisco NSO Programmability Service Design Service Design Overview Top-Down Approach Bottom-Up Approach Device Configuration Service Model Service Management Service Management Tasks Service Lifecycle Management Guidelines NSO Programmability Introduction NSO Programmability Overview Python Service Skeleton Creating a Service YANG Model Creating a Service Template Template Processing with Python Cisco NSO Flexibility System Configuration and Troubleshooting System Configuration System Troubleshooting Integration Integration Options NETCONF Server Web Integration SNMP Agent Alarm Management and Reporting Alarm Management Reporting Scalability and Performance High Availability High-Availability Cluster Communications Clustering Layered Service Architecture Addressing Performance Limitations Components and Function Packs Function Packs NFV Orchestration Reactive FASTMAP

Duration 5 Days 30 CPD hours This course is intended for Those new to Citrix or considering a move to Citrix Cloud Overview Gain foundational knowledge of Citrix Virtual Apps and Desktops 7Learn how to install, configure, and manage a Citrix Virtual Apps and Desktops 7 site and Cloud connectorsIdentify the considerations between Citrix Virtual Apps and Desktops on-premises and the Citrix Virtual Apps and Desktops ServiceDiscover how to deliver app and desktop resources This course will teach students how to deploy, install, configure, setup profile management, configure policies, printing and basic security features for on-premises Virtual Apps and Desktop solution building, and then migrating to Citrix Cloud.This course includes a voucher to take the related exam and earn your Citrix Certified Associate - Virtualization (CCA-V) certification. Architecture Overview Introduction to Citrix Virtual Apps and Desktops Architecture Overview Features Hosting Platform Considerations Citrix Virtual Apps and Desktops Service Connection Flow Process Introduction Deploy the Site Pre-Deployment Considerations Citrix Licensing Setup Delivery Controller Setup Site Setup And Management Redundancy Considerations The Apps and Desktops Images Consider Master Image Creation Methods Master Image Requirements Provision and Deliver App and Desktop Resources Machine Catalogs and Delivery Groups Provisioning Methods and Considerations Machine Creation Services (MCS) Deep Dive MCS Environment Considerations Resource Locations Provide Access to App and Desktop Resources Consider Workspace Experience versus StoreFront Workspace Experience User Authentication Workspace App Communication Flow Manage the User Experience Methods to Manage the User Experience Common User Experience Settings Published App and Desktop Presentation and Management Published App Properties Server OS Published App Optimizations Published App Presentation Application Groups Apps and Desktops Presentation Manage Printing for User Sessions Map Printers to the User Session Printer Drivers Print Environment Considerations Citrix Profile Management Introduction and Considerations Configure Citrix Profile Management Manage the Site Delegated Administration Use PowerShell with Citrix Virtual Apps and Desktops Power Management Considerations Citrix Virtual Apps and Desktops Basic Security Considerations Citrix Admin Security Considerations XML Service Security Considerations Secure HDX External Traffic Monitor the Site Citrix Director Introduction Monitor and Interact with User Sessions Published Apps Analysis Monitor the Machines Running the VDA Site Specific Common Monitoring Alerts and Notifications Optimize Citrix Director Monitoring with Citrix ADM Introduction to Supporting and Troubleshooting Citrix Virtual Apps and Desktops Introduction to Supporting a Citrix Virtual Apps and Desktops Site Tools Proactive Administration Common Tasks Migrate To Citrix Cloud Migration Considerations Citrix Cloud Connector Deployment Citrix Virtual Apps and Desktops with an On-Premises Resource Location The Migration Process Citrix Analytics Citrix Analytics Introduction Prepare to Use Citrix Analytics Types of Analytics Additional course details: Nexus Humans CWS-215 Citrix Virtual Apps and Desktops 7 Administration On-Premises and In Citrix Cloud 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 CWS-215 Citrix Virtual Apps and Desktops 7 Administration On-Premises and In Citrix Cloud 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.

Sage Payroll Training Course - Fast Track This course brings you the skills you need to use this popular payroll program to confidently process any businesses payroll. Being able to use Sage 50 Payroll should lead to greater productivity. But it also helps the business conform to employment legislation and data security requirements. Furthermore, broken down into practical modules this course is a very popular and well received introduction to moving from manual payroll to computerised payroll. Moreover, it incorporates all the new government requirements for RTI reporting. Finally, Payroll is a vital role within any organisation. A career in payroll means specialising in a niche field with excellent progression opportunities. You will receive a CPD Completion certificate from Osborne Training once you finish the course. What skills will I gain? In this course you will be learning from Level 1 to Level 3 of Sage Computerised Payroll which could help you to land on your dream job in Payroll sector. Level 1 Introduction to payroll Introduction to Real Time Information (RTI) Preparing employee records Starters - new employees Calculation of Gross Pay The PAYE and National Insurance systems Creating Payslips and analysis Creating Backups and Restoring data Payment analysis Processing National Insurance contributions Voluntary deductions Processing Leavers Completing the payroll Procedures Level 2 Introduction to Payroll Introduction to Real Time Information (RTI) Preparing employee records Creating Backup and Restoring Data Starters - new employees Calculation of Gross Pay Deductions - Pension schemes and pension contributions Processing the payroll - introduction to the PAYE system Processing the payroll - income tax National Insurance contributions - Processing in the payroll Voluntary deductions Student Loan repayments Attachment of Earnings Orders & Deductions from Earnings Orders Processing Leavers Introduction to statutory additions and deductions Processing Statutory sick pay (SSP) Processing Statutory Paternity Pay (SPP) Statutory paternity pay and paternity leave Completing the processing of the payroll Creating Payslips and analysis Reports and payments due to HMRC Level 3 Advanced processing of the payroll for employees Preparation and use of period end preparation of internal reports Maintaining accuracy, security and data integrity in performing payroll tasks. Deductions - Pension schemes and pension contributions Processing the payroll -complex income tax issues Payroll Giving Scheme processing Processing Statutory Adoption Pay (SAP) Advanced Income tax implications for company pension schemes Student Loan repayments Processing Holiday Payments Processing Car Benefit on to the Payroll System Attachment of Earnings Orders & Deductions from Earnings Orders Leavers with complex issues Advanced processing of statutory additions and deductions Recovery of statutory additions payments - from HMRC Completing the processing of the payroll Complex Reports and payments due to HMRC Cost Centre Analysis Advanced, routine and complex payroll tasks Calculation of complex gross pay

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.

Course Overview: This Investment course offers learners a comprehensive understanding of investment strategies and financial markets. The course covers a range of essential topics, including different investment types, portfolio management, and risk assessment. Learners will gain valuable insights into bond and stock markets, enabling them to make informed decisions in diverse investment environments. The course is designed for those looking to enhance their investment knowledge, regardless of their current financial expertise, providing a solid foundation in the principles of investing. Course Description: In this course, learners will explore various investment methods, from bonds to stocks, and gain an understanding of core financial concepts such as portfolio diversification and risk management. The course delves into investment theory, focusing on how markets function, the evaluation of potential returns, and the identification of risk factors. With an emphasis on building a structured investment strategy, learners will also gain an understanding of how to manage and optimise their portfolios. By the end, learners will have the tools and knowledge to evaluate different investment opportunities, supporting their financial growth and decision-making processes. Course Modules: Module 01: Introduction to Investment Overview of investment basics The role of investments in personal finance Understanding risk and return Module 02: Types and Techniques of Investment Stock market, bonds, and real estate investments Active vs passive investing Introduction to alternative investments Module 03: Key Concepts in Investment Compound interest and time value of money Diversification and asset allocation Financial instruments overview Module 04: Understanding the Finance Basics of financial statements Financial ratios and metrics Introduction to valuation techniques Module 05: Investing in Bond Market Types of bonds and their characteristics Bond pricing and yields Understanding interest rates and bond durations Module 06: Investing in Stock Market Stock market indices and trading Analysis of stock performance Fundamentals of stock picking Module 07: Risk and Portfolio Management Measuring and managing investment risk Portfolio construction and diversification strategies Evaluating portfolio performance (See full curriculum) Who is this course for? Individuals seeking to develop investment skills for personal financial growth. Professionals aiming to enhance their understanding of financial markets. Beginners with an interest in investing and financial markets. Anyone interested in building a solid foundation in investment strategies. Career Path: Investment Analyst Financial Planner Portfolio Manager Stock Broker Risk Manager Wealth Manager Financial Consultant

Course Overview This comprehensive course on "Complete After Effects for Graphic Design" is designed to equip learners with the skills necessary to use After Effects effectively in graphic design. Covering everything from creating visual effects and patterns to generating artwork from scratch, this course helps learners develop a deep understanding of After Effects tools and techniques. Learners will gain the confidence to create sophisticated animations and special effects that enhance their design projects. With practical lessons and a focus on industry-relevant skills, this course provides invaluable value to anyone looking to strengthen their graphic design capabilities using After Effects. Course Description In this course, learners will dive deep into the essential features of After Effects, including creating special effects, working with patterns and textures, and generating artwork from minimal input. The course takes a structured approach, starting with a solid introduction to After Effects, followed by advanced techniques for creating visually engaging content. By the end of the course, learners will be able to produce impressive animations and effects for use in graphic design projects. Throughout the course, learners will refine their understanding of animation principles and the software's advanced features, equipping them with the skills to implement creative ideas in a professional context. Course Modules Module 01: Introduction Introduction to After Effects interface Understanding key concepts in animation and motion design Navigating the timeline and workspace Module 02: Creating Special Effects Using effects and presets Creating cinematic effects for design Layering techniques and animation adjustments Module 03: Creating Patterns and Textures Working with textures and patterns Developing seamless loops and animated backgrounds Customising effects to suit design projects Module 04: Generating Artwork from (Almost) Nothing Techniques for generating artwork using basic shapes Exploring fractal animations and procedural design Using plugins to expand creative possibilities Module 05: Where to Go from Here Understanding next steps in advancing your After Effects skills Recommended resources for further learning Tips for building a professional portfolio (See full curriculum) Who is this course for? Individuals seeking to enhance their graphic design expertise. Professionals aiming to integrate animation and effects into their design projects. Beginners with an interest in digital design and animation. Designers wishing to improve their proficiency with After Effects. Career Path Graphic Designer Motion Graphics Designer Visual Effects Artist Animation Artist Digital Content Creator

Payroll Accounting Training Fast Track (Level 1-3): This course brings you the skills you need to use this popular payroll program to confidently process any businesses payroll. Being able to use Sage 50 Payroll should lead to greater productivity. But it also helps the business conform to employment legislation and data security requirements. Furthermore, broken down into practical modules this course is a very popular and well-received introduction to moving from manual payroll to computerised payroll. Moreover, it incorporates all the new government requirements for RTI reporting. Finally, Payroll is a vital role within any organisation. A career in payroll means specialising in a niche field with excellent progression opportunities. In this course, you will be learning from Level 1 to Level 3 of Sage Computerised Payroll which could help you to land your dream job in the Payroll sector. As Osborne Training is a Sage (UK) Approved training provider, you could gain the following qualifications provided that you book and register for exams and pass the exams successfully: Sage 50c Computerised Payroll Course (Level 1) Sage 50c Computerised Payroll Course (Level 2) Sage 50c Computerised Payroll Course (Level 3) All exams are conducted online through Sage (UK). Level 1: Introduction to payroll Introduction to Real-Time Information (RTI) Preparing employee records Starters - new employees Calculation of Gross Pay The PAYE and National Insurance systems Creating Payslips and analysis Creating Backups and Restoring data Payment analysis Processing National Insurance contributions Voluntary deductions Processing Leavers Completing the Payroll Procedures Level 2: Introduction to Payroll Introduction to Real Time Information (RTI) Preparing employee records Creating Backup and Restoring Data Starters - new employees Calculation of Gross Pay Deductions - Pension schemes and pension contributions Processing the payroll - introduction to the PAYE system Processing the payroll - income tax National Insurance contributions - Processing in the payroll Voluntary deductions Student Loan repayments Attachment of Earnings Orders & Deductions from Earnings Orders Processing Leavers Introduction to statutory additions and deductions Processing Statutory sick pay (SSP) Processing Statutory Paternity Pay (SPP) Statutory paternity pay and paternity leave Completing the processing of the payroll Creating Payslips and analysis Reports and payments due to HMRC Level 3: Advanced processing of the payroll for employees Preparation and use of period end preparation of internal reports Maintaining accuracy, security and data integrity in performing payroll tasks. Deductions - Pension schemes and pension contributions Processing the payroll -complex income tax issues Payroll Giving Scheme processing Processing Statutory Adoption Pay (SAP) Advanced Income tax implications for company pension schemes Student Loan repayments Processing Holiday Payments Processing Car Benefit on to the Payroll System Attachment of Earnings Orders & Deductions from Earnings Orders Leavers with complex issues Advanced processing of statutory additions and deductions Recovery of statutory additions payments - from HMRC Completing the processing of the payroll Complex Reports and payments due to HMRC Cost Centre Analysis Advanced, routine and complex payroll tasks Calculation of complex gross pay