177 Trade courses in Cardiff delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Agile professionals, Project Managers and aspiring Project Managers who want to be able to combine PRINCE2 and Agile in the most effective way when using PRINCE2, Agile behaviours, concepts, frameworks, and techniques Other key delivery team staff, including Product Owners, Scrum Masters, and Developers Business professionals with an interest in iterative and incremental project delivery by collaborating working Overview At the end of this course, you will be able to: Understand the key concepts relating to PRINCE2. Understand the key concepts relating to projects and PRINCE2 Agile. Understand how PRINCE2 principles, themes, processes and management products are tailored and applied in an Agile context. Understand the agile ways of working, key terms and techniques. Understand the focus areas in an Agile context. PRINCE2 Agile is the world?s most complete project management solution, combining the flexibility and responsiveness of Agile with the clearly defined framework of PRINCE2©. As a PRINCE2© Accredited Training Organization of PeopleCert, all students attending this training will be provided with the exam voucher as a part of delivery. Course Outline Course Introduction and Agile Overview PRINCE2 Summary Culture Blending PRINCE2 and Agile Combining PRINCE2 and Agileÿ Combining PRINCE2 and Agile (Contd.) Homework Day 1ÿ PRINCE2 Agile Themes PRINCE2 Agile Processes Agile frameworks, Concepts, and Techniques Agile Focus Areas Mock Exam PRINCE2© is a registered trademark of AXELOS Limited, used under permission of AXELOS Limited. All rights reserved. Additional course details:Notes New Horizons is an Authorised Training Organisation (ATO) for Peoplecert for ITIL4 and PRINCE2 Nexus Humans PRINCE2 Agile Foundation with Exam 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 PRINCE2 Agile Foundation with Exam 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 Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) 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 Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) 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 course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts 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. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.

Unlock the power of effective negotiation. Gain essential skills to navigate complex deals, build lasting partnerships, and achieve optimal outcomes. Course overview Duration: 1 day (6.5 hours) This course is designed for those who need to understand and be able to use essential negotiation skills to make them more effective in their role. Externally you maybe negotiating with suppliers, customers, regulatory authorities and other organisations. Internally you will be negotiating with stakeholders, colleagues, and team members which could be for resources, time, budget or facilities. Being able to negotiate agreements that are acceptable to all parties requires skill and is essential to maintain healthy, functional relationships. This will be a facilitated workshop designed to be flexible to achieve the desired outcome. We will achieve the objectives through a mixture of facilitated discussion, interactive exercises designed to give insight and facilitator input. During the day we will deal with the stages of a negotiation from preparation to closing. Individuals will get the opportunity to practice the skills needed to create win-win outcomes through a number of generic but realistic scenarios. Objectives By the end of the course you will be able to: State the principles of effective negotiation Prepare effectively for different types of negotiation Set negotiation objectives and identify what can be ‘traded’ Explain how assertiveness and influencing skills can affect outcomes Deploy appropriate strategies and tactics to achieve the best results Use different techniques to deal with difficult customers and difficult situations Content Influencing Seek first to understand, and then be understood The importance of understanding the other party’s position and how to do it The power of non-verbal communication Dealing with difficult customers and difficult situations whilst maintaining a positive relationship How to approach negotiations Identifying potential negotiations and preparing for potential outcomes Aiming for results which deliver win/win outcomes Developing a win/win mindset and behaviours Rights and responsibilities of negotiators Setting Negotiation Objectives Clarifying essential, desirable and ideal objectives Assessing the most favoured, realistic target and walk away positions The Negotiation Process The importance of preparation Creating an opening proposal Where to pitch the opening proposal Bargaining/Trading - Gaining Momentum Knowing your parameters – what can be traded? Choosing a strategy and tactics Dealing with questionable tactics and ploys Building rapport – the communication process Asking the right questions and active listening Being assertive, demanding your rights and ensuring you meet your responsibilities Closing Techniques Trial and actual closing techniques Signalling Summarising and documenting the agreement Follow up and implementation of the deal

Sage 50 Computerised Accounting / Bookkeeping Training - Fast Track Overview: If you're looking to gain competency in the world's most popular bookkeeping software, the Sage 50 Computerised Accounting course will teach everything you need to know, while helping you gain a recognised qualification. This course is designed to provide individuals from beginner to advanced knowledge of bookkeeping and Sage 50 accounts. It is intended for individuals who aim to improve career prospects and to be able to better financial management and control of the business. This course covers Level 1-3 of Sage 50 Bookkeeping/Accounting Training. Every business, no matter how large or small, is required by law to 'keep books'. Therefore, Bookkeepers play a vital role within organisations; ensuring records of individual financial transactions are accurate, orderly, up to date and comprehensive. If you are organised and methodical, like working through documents and enjoy seeing a set of figures add up properly, then bookkeeping is the career for you. You will receive a CPD Completion certificate from Osborne Training once you finish the course. Then, you have an option to attain a Certificate from SAGE(UK) subject to passing the exams. Level 1 Working with Sage 50 Accounts Program Basics. Creating Account names, Numbers & Bank Payments Financials Bank Reconciliations Generating Customers Invoices Monitoring Customer Activity Generating Product Invoices & Credit Notes Compiling & Sending Customer Statements Creating Customer Receipts & Purchase Invoices Supplier Payments Managing Recurring Entries Generating Reports & Information The Active Set-Up Wizard VAT Changes. Level 2 An overview of the Sage program Entering opening balances, preparing and printing a trial balance Creating customer records Creating supplier records Setting up opening assets, liabilities and capital balances, Producing routine reports Checking data, Entering supplier invoices Posting error corrections, amending records Invoicing, generating customer letters, entering new products, checking communication history Banking and payments, producing statements, petty cash Audit trails, correcting basic entry errors, reconciling debtors and creditors Creating sales credit notes, Processing purchase credit notes Preparing journals Verifying Audit Trail Purchase orders, processing sales orders Processing Trial Balance Creating Backups Restoring data Writing-off bad debts Level 3 Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Prepare and Produce Final Accounts Management Information Reports Making Decisions with Reports Using Sage The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control

Course description Sage 50 Accounting / Bookkeeping Training - Fast Track Overview Want to open the door to working in Finance and Accountancy Industry? Starting Sage Line 50 Accounting Fast Track Training course will enhance your career potentials and give you the skills and knowledge you need to get started in Finance and Accountancy Industry. Get a new direction for your career in Accountancy, according to statistics, the average salary for Accountants is £50,000 (Source: Reed), it is the sector where the employability rate is higher than any other sector. With the right skills and practical experience, you would be able to fast track your career in Accountancy and exactly that's where Osborne Training can fill the gap. The intensive programmes include all the skills required to fast track your career in professional Accountancy. Duration 6 Weeks Study Options Classroom Based - Osborne Training offers Daytime or Weekend sessions for Sage 50 Bookkeeping Training Course from London Campus. Online Live - Osborne Training offers online Evening sessions for Sage 50 Bookkeeping Training Classes through the Virtual Learning Campus. Distance Learning - Self Study with Study Material and access to Online study Material through Virtual Learning Campus. Certification You will receive a certificate from Osborne Training once you finish the course. You have an option to get an IAB Certificate subject to passing the exams. What qualification will I gain? You could Gain the following IAB qualifications provided that you book and register for IAB exams and pass the exams successfully: IAB Level 1 Award in Computerised Bookkeeping (QCF) 500/9405/1 IAB Level 2 Award in Computerised Bookkeeping (QCF) 500/9261/3 IAB Level 3 Award in Computerised Bookkeeping (QCF) 500/9407/5 Awarding body International Association of Book-Keepers Sage 50 accounts Course Syllabus Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Stock Valuation, Stock Control, Work in Progress and Finished Goods Prepare and Produce Final Accounts Extended Trial Balance Exporting Data including Linking to Other Systems Management Information Reports Making Decisions with Reports Using Sage Prepare and Process Year End Accounts and Archive Data Final Accounts for Partnerships including Appropriation Accounts The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control

Total SAGE Training (Sage 50 Accounts + Sage Payroll Training) Want to open the door to working in Finance and Accountancy Industry? Starting our Total Sage Training courses will enhance your career potentials and give you the skills and knowledge you need to get started in Finance and Accountancy Industry. Total Sage Training courses are combined with Sage 50 Accounts and Sage Payroll Training. You will receive a CPD Completion Certificate from Osborne Training once you finish the course. You also have an Option to attain Certificate from SAGE(UK) subject to passing the exams. What qualification will I gain for Sage Training Courses? CERTIFICATION FROM SAGE (UK) 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 Accounting Course (Level 1) Sage 50c Computerised Accounting Course (Level 2) Sage 50c Computerised Accounting Course (Level 3) Sage 50c Computerised Payroll Course (Level 1) Sage 50c Computerised Payroll Course (Level 2) Sage 50c Computerised Payroll Course (Level 3) Level 1 Working with Sage 50 Accounts Program Basics. Creating Account names, Numbers & Bank Payments Financials Bank Reconciliations Generating Customers Invoices Monitoring Customer Activity Generating Product Invoices & Credit Notes Compiling & Sending Customer Statements Creating Customer Receipts & Purchase Invoices Supplier Payments Managing Recurring Entries Generating Reports & Information The Active Set-Up Wizard VAT Changes. Level 2 An overview of the Sage program Entering opening balances, preparing and printing a trial balance Creating customer records Creating supplier records Setting up opening assets, liabilities and capital balances, Producing routine reports Checking data, Entering supplier invoices Posting error corrections, amending records Invoicing, generating customer letters, entering new products, checking communication history Banking and payments, producing statements, petty cash Audit trails, correcting basic entry errors, reconciling debtors and creditors Creating sales credit notes, Processing purchase credit notes Preparing journals Verifying Audit Trail Purchase orders, processing sales orders Processing Trial Balance Creating Backups Restoring data Writing-off bad debts Level 3 Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Prepare and Produce Final Accounts Management Information Reports Making Decisions with Reports Using Sage The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control

Sage Line 50 Accounting / Bookkeeping Training - Fast Track If you're looking to gain competency in the world's most popular bookkeeping software, the Sage 50 Computerised Accounting course will teach everything you need to know, while helping you gain a recognised qualification. This Course is designed to provide individuals from beginner to advanced knowledge of bookkeeping and Sage 50 accounts. It is intended for individuals who aim to improve career prospects and to be able to better financial management and control of business. This course covers Level 1-3 of Sage 50 Bookkeeping/Accounting Training. Every business, no matter how large or small, is required by law to 'keep books'. Therefore, Bookkeepers play a vital role within organisations; ensuring records of individual financial transactions are accurate, orderly, up to date and comprehensive. If you are organised and methodical, like working through documents and enjoy seeing a set of figures add up properly, then bookkeeping is the career for you. What qualification will I gain? You have the choice to gain certification from one of the following awarding bodies. CERTIFICATION FROM SAGE (UK) 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 Accounting Course (Level 1) Sage 50c Computerised Accounting Course (Level 2) Sage 50c Computerised Accounting Course (Level 3) Level 1 Working with Sage 50 Accounts Program Basics. Creating Account names, Numbers & Bank Payments Financials Bank Reconciliations Generating Customers Invoices Monitoring Customer Activity Generating Product Invoices & Credit Notes Compiling & Sending Customer Statements Creating Customer Receipts & Purchase Invoices Supplier Payments Managing Recurring Entries Generating Reports & Information The Active Set-Up Wizard VAT Changes. Level 2 An overview of the Sage program Entering opening balances, preparing and printing a trial balance Creating customer records Creating supplier records Setting up opening assets, liabilities and capital balances, Producing routine reports Checking data, Entering supplier invoices Posting error corrections, amending records Invoicing, generating customer letters, entering new products, checking communication history Banking and payments, producing statements, petty cash Audit trails, correcting basic entry errors, reconciling debtors and creditors Creating sales credit notes, Processing purchase credit notes Preparing journals Verifying Audit Trail Purchase orders, processing sales orders Processing Trial Balance Creating Backups Restoring data Writing-off bad debts Level 3 Creating a Chart of Accounts to Suit Company Requirements Sole Trader Accounts preparation The Trial Balance preparation Errors in the Trial Balance Disputed Items Use of the Journal Prepare and Process Month End Routine Contra Entries The Government Gateway and VAT Returns Bad Debts and Provision for Doubtful Debts Prepare and Produce Final Accounts Management Information Reports Making Decisions with Reports Using Sage The Fixed Asset Register and Depreciation Accruals and Prepayments Cash Flow and Forecast Reports Advanced Credit Control

Managing Benefits™ Foundation: Virtual In-House Training The APMG International Managing Benefits and Swirl Device logo is a trademark of The APM Group Limited, used under permission of The APM Group Limited. All rights reserved. Benefits are not simply just one aspect of project and programme management (PPM) - rather, they are the rationale for the investment of taxpayers' and shareholders' funds in change initiatives. Managing Benefits is designed to complement existing best practices in portfolio, programme and project management (such as PRINCE2®, MSP®, P3O® & MoP®), and consolidates existing guidance while expanding on the specific practices and techniques aimed at optimizing benefits realization. The purpose of the Managing Benefits guidance and certification scheme is to provide you with generally applicable guidance encompassing benefits management principles, practices, and techniques, and to prepare you to take and pass the Foundation exam on the last day. Managing Benefits provides: An overview of benefits management - what it is, the case for doing it, and some common misconceptions that can limit its effectiveness in practice Descriptions of the seven principles upon which successful approaches to benefits management are built, and examples of how they have been applied in practice Guidance on how to apply benefits management at a portfolio level, as well as at an individual project or programme level Details of the five practices in the Benefits Management Cycle and examples of how they have been applied in practice Advice on how to get started in implementing effective benefits management practices and sustain progress What You Will Learn You'll learn how to: Define benefits, benefits management and related terms, and the objectives of benefits management Explain the principles upon which successful approaches to benefits management are based Define the practices contained within the Benefits Management Cycle and relevant techniques applicable to each practice Describe key elements of portfolio-based benefits management, as well as the scope of key roles and responsibilities for benefits management and the typical contents of the main benefits management documentation Identify barriers to effective benefits management and strategies to overcome them, including the key success characteristics of benefits management Improve your ability to pass the APMG Managing Benefits Foundation Certification exam Getting Started Introductions Course structure Course goals and objectives Overview of Managing Benefits The Benefits Management Model Key Benefits Management Practices What is Benefits Management? Definitions Value and Value Management Why do we need benefits management? Objectives Benefits Management Principles Align benefits with strategy Start with the end in mind Utilize successful delivery methods Integrate benefits with performance management Manage benefits from a portfolio perspective Apply effective governance Develop a value culture The Benefits Management Cycle Barriers to effective and efficient benefits management and overcoming them Key success characteristics of effective benefits management Key roles, responsibilities, and documentation Benefits Management Practice 1 - Identify and Quantify Benefits Management Practice 2 - Value and Appraise Benefits Management Practice 3 - Plan Benefits Management Practice 4 - Realize Benefits Management Practice 5 - Review Portfolio-based Benefits Management Implementing and Sustaining Progress APMG Managing Benefits Foundation Exam