59 Coding courses in Loughton

Java basics course. General Java syntax and principles of object-oriented programming. Level: Start from scratch; this is the course for a beginner. Java from basics to fully functional. Our Style: Instructor-led Course, very practical with hands-on practice. Small groups up to 4 people. Trainers are professional developers and subject matter experts.

SSRS Report Builder Course Summary. Practical SSRS Report Builder course, to leavy you full conversant with queries, DML and DDL statements. Hands-on, Practical SSRS course. PCWorkshops SSRS Course Certificate. Max 4 people per course, we keep it personalised. Where is the SSRS Report Builder Course? Online: Instructor-led. Classroom: Request per email. SSRS Course Materials SSRS Coding Examples Manuals and Notes: In-depth reference materials Exercises: Practical exercises Payment Options → £600, Follow the booking link Arrange for installments Included with SSRS Report Builder Course: SSRS Course Certificate on completion. SSRS Course Manual. Practical SSRS Course exercises. SSRS Code Samples. After the course, 1 free session for questions. Max group size, online and in classroom, on this SSRS Course is 4. Course Topics SSRS Report Builder Course Topics SSRS Course topics: This course focus on producing reports using MS SQL SSRS Report Builder, to use the product features and tools related to data retrieval, visualisations and deployment. The Target Audience: end-users who will produce reports for their department or group using datasets. SSRS Course Topics Report Models: Data source views Creating a model Entities, attributes and roles Tables: Creating tables Interactive sorting Floating headers Grouping: Inserting groups Group headers/footers Displaying group totals Expanding and collapsing Expressions: The expression builder The Report Items collection Built-in fields Conditional formatting expressions Page headers and footers Page names and numbers Exporting reports: The various report formats Using RenderFormat. Parameters: Creating parameters Filtering using parameters Drop list parameters Coping with empty tables Matrices: Row and column groups Sorting and filtering matrices Creating subtotals Charts: Creating charts The parts of a chart Formatting charts Basic reports: Text boxes and images Selecting report items Formatting parts of a report Miniature charts Creating sparklines Creating data bars Graphical indicators Creating and customising indicators Linear and radial gauges Lists: Page-per-record lists Dashboard lists Other list ideas Subreports: Creating a child report Creating the main report Linking the two reports Report parts: Publishing report parts The report part gallery Updating report parts Book the SSRS Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments

SSRS Report Builder Course Summary. Practical SSRS Report Builder course, to leavy you full conversant with queries, DML and DDL statements. Hands-on, Practical SSRS course. PCWorkshops SSRS Course Certificate. Max 4 people per course, we keep it personalised. Where is the SSRS Report Builder Course? Online: Instructor-led. Classroom: Request per email. SSRS Course Materials SSRS Coding Examples Manuals and Notes: In-depth reference materials Exercises: Practical exercises Payment Options → £600, Follow the booking link Arrange for installments Included with SSRS Report Builder Course: SSRS Course Certificate on completion. SSRS Course Manual. Practical SSRS Course exercises. SSRS Code Samples. After the course, 1 free session for questions. Max group size, online and in classroom, on this SSRS Course is 4. Course Topics SSRS Report Builder Course Topics SSRS Course topics: This course focus on producing reports using MS SQL SSRS Report Builder, to use the product features and tools related to data retrieval, visualisations and deployment. The Target Audience: end-users who will produce reports for their department or group using datasets. SSRS Course Topics Report Models: Data source views Creating a model Entities, attributes and roles Tables: Creating tables Interactive sorting Floating headers Grouping: Inserting groups Group headers/footers Displaying group totals Expanding and collapsing Expressions: The expression builder The Report Items collection Built-in fields Conditional formatting expressions Page headers and footers Page names and numbers Exporting reports: The various report formats Using RenderFormat. Parameters: Creating parameters Filtering using parameters Drop list parameters Coping with empty tables Matrices: Row and column groups Sorting and filtering matrices Creating subtotals Charts: Creating charts The parts of a chart Formatting charts Basic reports: Text boxes and images Selecting report items Formatting parts of a report Miniature charts Creating sparklines Creating data bars Graphical indicators Creating and customising indicators Linear and radial gauges Lists: Page-per-record lists Dashboard lists Other list ideas Subreports: Creating a child report Creating the main report Linking the two reports Report parts: Publishing report parts The report part gallery Updating report parts Book the SSRS Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments

Fraud should not happen, but it does. It can happen at the highest to lowest levels in an organisation. Recent surveys show that incidents of fraud are not decreasing. Fraud costs companies money and, perhaps even more importantly, reputational damage. The losers are not just the shareholders, suppliers, customers, etc, but society as a whole. This programme shows why frauds happen, how organisations put themselves at risk and what they can do to prevent it. This programme will help directors and others understand: The motives for committing fraud Directors' responsibilities for identifying and reporting fraud What types of frauds there are How frauds are perpetrated How they can be prevented How regulators deal with fraud Above all, the principal objective of this programme is to help make your organisation as secure as possible from the threat of fraud. 1 Motives for committing fraud - drivers of fraud Session objective: to understand why people might commit fraud Drivers of fraudulent behaviourAmbitionGreedTheftConceit? And more! 2 Accounting mechanisms that allow fraud Session objective: to review the elements of the accounting, internal control and management processes that allow creative accounting Income or liability? Asset or expense? Coding errors and misclassification Netting off and grossing up Off-balance sheet items 3 Structures that allow fraud Session objective: to consider company and trading structures that allow frauds to be perpetrated Group structures Trading structures Tax havens Importing and exporting 4 Interpretations and other non-compliance that allow fraud Session objective: to look at how creative interpretations of law and accounting practice may permit fraud The place of accounting standards Accounting policies Trading methods The place of auditing standards 5 Money laundering Session objective: to review what constitutes money laundering Types of money laundering Identifying laundering Preventing laundering 6 Preventing fraud - proper management structures Session objective: to review the place of proper corporate governance Corporate governance Company management structure Audit committees The place of internal audit 7 Preventing fraud - proper accounting Session objective: to review best accounting and auditing practice Accounting standards Internal accounting policies Adequacy of internal controls Internal audit 8 Preventing fraud - regulation Session objective: to look at how regulators aim to prevent fraud The regulatory environment Financial services regulation 9 Conclusion Course review Open forum Close 10 Course summary - developing your own cost action plan Group and individual action plans will be prepared with a view to participants identifying their cost risks areas and the techniques which can be immediately applied to improve costing and reduce costs

OpenView training course description A hands-on course focusing on network management using HP OpenView network node manager on Microsoft Windows or UNIX. What will you learn Recognise the benefits of ADSL. Describe the network management architecture. Use HP OpenView. Diagnose faults using HP OpenView. Recognise the MIB structure. OpenView training course details Who will benefit: Technical staff wanting to learn DNS. Prerequisites: TCP/IP Foundation Duration 2 days OpenView training course contents Network management What is network management?, Benefits, issues, demonstration. Getting started with HP OpenView Starting HP OpenView, IP discovery, IP monitoring, controlling IP discovery. Using HP OpenView Mapping devices, map layouts, maps and submaps, objects and symbols, object attributes, colour codings, polling. Agents Configuring Cisco devices for SNMP support, communities, traps, syslog. Parts of SNMP SNMP architecture, MIB's, The protocol. HP OpenView SNMP configuration HP OpenView alarm browser HP OpenView alarms, alarm categories, filtering alarms, alarm details window. MIB's MIB1, MIB2, The MIB2 groups, additional MIB's, MIB compilers, vendor MIB's. HP OpenView MIB loader and browser. Monitoring devices Polling, obtaining MIB information. Diagnostic tools Poll node, the ping window, protocol test, locate route HP OpenView fault management Alarms, polling, fault management, setting thresholds and configuring traps.

NNMi for engineers training course description A hands on course focusing on network management using Network Node Manager (NNMi) on Microsoft Windows or UNIX. What will you learn Describe the network management architecture. Use NNMi. Diagnose faults using NNMi. Recognise the MIB structure. NNMi for engineers training course details Who will benefit: Network administrators. Network operators. Those wishing to find out more about how their NNMi works. Prerequisites: TCP/IP foundation for engineers Duration 2 day NNMi for engineers training course content Network management What is network management? Benefits, issues, demonstration. Getting started with NNMi Starting NNMi, IP discovery, IP monitoring, controlling IP discovery. Using NNMi Mapping devices, map layouts, maps and submaps, objects and symbols, object attributes, colour codings, polling. Agents Configuring Cisco devices for SNMP support, communities, traps, syslog. Parts of SNMP SNMP architecture, MIBs, The protocol. NNMi SNMP configuration NNMi alarm browser NNMi alarms, alarm categories, filtering alarms, alarm details window. MIBs MIB1, MIB2, The MIB2 groups, additional MIBs, MIB compilers, vendor MIBs. NNMi MIB loader and browser. Monitoring devices Polling, obtaining MIB information. Diagnostic tools Poll node, the ping window, protocol test, locate route NNMi fault management Alarms, polling, fault management, setting thresholds and configuring traps.

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Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives