Qureos Mentor

Solomon People Soluitons

Freelance Trainer on &ldquo;Maintenance, Troubleshooting &amp; Overhaul of Solenoid Valves (1&rdquo;, 2&rdquo; &amp; 3&rdquo;) and Internal Assemblies&rdquo;Course OverviewThis 5-day intensive program is designed for technicians and maintenance engineers responsible for inspection, servicing, troubleshooting, and overhaul of industrial solenoid valves (1&rdquo;, 2&rdquo; and 3&rdquo;). The course focuses on field-relevant maintenance skills including diaphragm replacement, bleed screw servicing, flow control stem adjustment, internal cleaning, coil testing, and root cause analysis of failures.The program blends theory with extensive hands-on sessions using real valves, cut-section models, and fault simulation rigs to ensure participants gain practical confidence.Learning ObjectivesBy the end of the course, participants will be able to:<ul><li>Identify all major components of 1&rdquo;, 2&rdquo; and 3&rdquo; solenoid valves.</li><li>Understand the working principle of different solenoid valve types (Direct Acting, Semi-Direct Acting, Pilot Operated).</li><li>Diagnose common field failures in solenoid valves.</li><li>Safely disassemble, inspect, and reassemble solenoid valves.</li><li>Service and replace critical internal parts:</li><li>Diaphragms</li><li>Bleed screws</li><li>Flow control stems</li><li>Seals &amp; springs</li><li>Pilots and plungers</li><li>Perform electrical testing on solenoid coils.</li><li>Set and calibrate flow and pressure adjustments.</li><li>Implement preventive maintenance schedules.</li><li>Reduce recurrence of solenoid valve failures through root cause analysis.</li></ul>Target AudienceThis course is ideal for:<ul><li>Maintenance Technicians</li><li>Mechanical Fitters</li><li>Electrical Technicians</li><li>Instrumentation &amp; Control Technicians</li><li>Maintenance Supervisors</li><li>Utility &amp; Plant Engineers</li><li>Water Treatment / HVAC / Process Plant Maintenance Staff</li></ul>Pre-requisite: Basic knowledge of mechanical maintenance or industrial equipment handling.Training MethodologyThe course uses a balance of:<ul><li>Classroom Theory Sessions</li><li>Hands-on Practical Exercises</li><li>Live Valve Disassembly &amp; Assembly</li><li>Fault Simulation and Troubleshooting</li><li>Case Studies from Industrial Scenarios</li><li>Tool Handling &amp; Measurement Practice</li><li>Daily Recap &amp; Q&amp;A</li><li>Final Practical Assessment &amp; Certification</li></ul>Detailed 5-Day Course StructureDay 1: Fundamentals &amp; Construction of Solenoid ValvesTheory:<ul><li>Introduction to solenoid valves (applications &amp; classifications)</li><li>Types: Direct Acting, Semi-Direct Acting, Pilot Operated</li><li>Valve sizing concepts for 1&rdquo;, 2&rdquo;, and 3&rdquo; lines</li><li>Materials of construction: Brass, SS, Cast Iron</li><li>Pressure, temperature, and fluid considerations</li></ul>Component Breakdown:<ul><li>Coil and enclosure</li><li>Plunger/armature</li><li>Diaphragm assembly</li><li>Bleed screw mechanism</li><li>Flow control stem</li><li>Orifice &amp; pilot ports</li><li>Seals, springs, and gaskets</li></ul>Practical:<ul><li>Identification of components using cutaway models</li><li>Reading and understanding manufacturer datasheets</li><li>Safe isolation and tagging procedures</li></ul>Day 2: Internal Assemblies &amp; Their FunctionsTheory:<ul><li>Function of diaphragm &amp; pilot orifice</li><li>Working of bleed screw mechanism</li><li>Role of flow control stem in flow regulation</li><li>Internal pressure balancing mechanism</li><li>Typical wear patterns and failure mechanisms</li></ul>Practical:<ul><li>Full disassembly of 1&rdquo; and 2&rdquo; solenoid valves</li><li>Inspection of diaphragms for cracks, warping, and stiffness</li><li>Examination of bleed screws and pilot holes for blockages</li><li>Flow control stem dismantling and cleaning</li></ul>Day 3: Troubleshooting &amp; Failure DiagnosisTheory:<ul><li>Common problems:</li><li>Valve not opening/closing</li><li>Coil burning</li><li>Leakage through diaphragm</li><li>Slow response time</li><li>Valve chatter</li><li>Electrical troubleshooting basics:</li><li>Coil resistance testing</li><li>Voltage supply verification</li><li>Insulation testing</li><li>Mechanical troubleshooting methods</li></ul>Practical:<ul><li>Simulated faults in test rigs</li><li>Root cause identification</li><li>Replacement of faulty parts</li><li>Reassembly with correct torque and sealing</li></ul>Day 4: Servicing, Calibration &amp; Preventive MaintenanceTheory:<ul><li>Servicing procedures for:</li><li>Diaphragms</li><li>Bleed screws</li><li>Flow control stems</li><li>O-rings and seals</li><li>Valve cleaning methods (chemical &amp; mechanical)</li><li>Adjustment of flow control stems</li><li>Setting pressure limits</li></ul>Practical:<ul><li>Complete overhaul of:</li><li>2&rdquo; and 3&rdquo; solenoid valves</li><li>Flow calibration testing</li><li>Leak testing using test bench</li><li>Maintenance documentation &amp; checklists</li></ul>Day 5: Advanced Maintenance &amp; Final AssessmentTheory:<ul><li>Advanced maintenance strategies</li><li>Designing preventive maintenance intervals</li><li>Failure trends and lifecycle management</li><li>Spare parts planning &amp; storage practices</li></ul>Practical:<ul><li>Complete maintenance cycle simulation:</li><li>Fault detection</li><li>Isolation</li><li>Dismantling</li><li>Repair</li><li>Testing</li><li>Recommissioning</li></ul>Assessment:<ul><li>Written knowledge test</li><li>Practical hands-on evaluation</li><li>Feedback &amp; Certification</li></ul>Job Types: Part-time, Temporary, Contract Contract length: 12 monthsPay: AED50.00 per hourExpected hours: 40 per week

Trainer Maintenance, Troubleshooting & Overhaul of Solenoid Valves & Internal Assemblies

Freelance Trainer for R Programming for Datascience Course : Apply ONLY IF YOU ARE A TRAINER.Course Overview : Today&rsquo;s organizations no longer settle for data collection. They want evidence. They want accountability. They want actionable insights. Whether you are in government evaluating policy outcomes, in an NGO tracking donor-funded projects, or in the private sector optimizing operations, your ability to analyze and present data is directly tied to your credibility. This course transforms R programming from a daunting technical skill into a practical decision-making asset. You don&rsquo;t need to become a statistician to succeed; you need structured guidance, hands-on practice, and a clear understanding of how to apply R in real-world settings. Through live coding, exercises, and applied case studies, you&rsquo;ll learn how to clean messy datasets, explore patterns, run statistical tests, create predictive models, and build visualizations that tell compelling stories. By the end of the training, you will not only know R syntax, but you&rsquo;ll also have the confidence to use R programming for data science in your own professional environment. You&rsquo;ll be able to justify decisions with evidence, generate insights that influence strategies, and communicate findings in a way stakeholders trust. xplore patterns, run statistical tests, create predictive models, and build visualizations that tell compelling stories. By the end of the training, you will not only know R syntax, but you&rsquo;ll also have the confidence to use R programming for data science in your own professional environment. You&rsquo;ll be able to justify decisions with evidence, generate insights that influence strategies, and communicate findings in a way stakeholders trust.Target Audience: This R Programming for Data Science Training is designed for:<ul><li>Data analysts and aspiring data scientists &bull; Managers who want to interpret organizational data effectively &bull; NGO professionals evaluating program outcomes &bull; Finance professionals conducting forecasts and risk analysis &bull; Public sector staff handling policy evaluation and impact studies &bull; Researchers and academics modernizing their data analysis skills &bull; HR and operations managers analyzing workforce data &bull; Marketing and business intelligence professionals tracking campaigns &bull; IT professionals supporting analytics initiatives &bull; Anyone ready to transform data into decisions using R</li></ul>Learning Objectives: This course equips you to analyze, visualize, and model data using R with confidence. By the end, you will be able to:<ul><li>Understand the fundamentals of R programming for data science &bull; Import, clean, and manage complex datasets &bull; Apply descriptive and inferential statistics using R &bull; Create compelling data visualizations with ggplot2 &bull; Conduct regression and predictive modeling &bull; Work with time series and large datasets &bull; Automate repetitive data workflows with scripts &bull; Communicate insights through reproducible R Markdown reports Professional and Organizational Impact</li></ul>When you master R for data science, you unlock the ability to transform data into opportunity. You will:<ul><li>Build in-demand technical skills in R programming Gain confidence in managing large and messy datasets &bull; Reduce reliance on external consultants for data analysis &bull; Strengthen your analytical credibility in professional settings &bull; Enhance your strategic decision-making with evidence &bull; Position yourself as a data-informed leader &bull; Increase career competitiveness in data-driven roles</li></ul>Organizations that embrace R-powered analysis operate smarter, faster, and with more accountability. They gain:<ul><li>Reliable and evidence-based insights for decision-making &bull; Reduced costs by using an open-source alternative to expensive tools &bull; Enhanced transparency and reproducibility of analyses &bull; Stronger program evaluation and monitoring frameworks &bull; Agility in forecasting and scenario modeling &bull; Consistent and professional reporting systems &bull; Improved collaboration across teams through shared R workflows</li></ul>Training Methodology This is a hands-on, outcome-driven training designed to demystify R and make it practical. Expect: &bull; Live coding sessions with step-by-step guidance Practical exercises on cleaning, analyzing, and visualizing data &bull; Group projects applying R to real-world datasets &bull; Visualization workshops using ggplot2 &bull; Case studies from finance, NGOs, and public sector programs &bull; Reflection prompts that connect R skills to your work context Templates and reusable scripts to take back to your organizationCourse OutlineMODULE 1: INTRODUCTION TO R PROGRAMMING &bull; Installing and navigating R and RStudio &bull; Understanding objects, variables, and data structures &bull; Vectors, matrices, lists, and data frames &bull; Scripts vs. R Markdown for analysis &bull; Writing your first R programMODULE 2: IMPORTING AND CLEANING DATA &bull; Reading CSV, Excel, and database files &bull; Handling missing data and outliers &bull; Data wrangling with dplyr &bull; Recoding and transforming variables &bull; Creating automated cleaning pipelinesMODULE 3: EXPLORATORY DATA ANALYSIS (EDA) &bull; Descriptive statistics with R functions &bull; Summarizing and profiling datasets &bull; Identifying patterns, distributions, and outliers &bull; Generating frequency and cross-tab tables &bull; Case study: quick analysis of organizational survey dataMODULE 4: DATA VISUALIZATION WITH GGPLOT2 &bull; Fundamentals of the grammar of graphics &bull; Creating bar, line, and scatter plots &bull; Visualizing distributions and relationships &bull; Customizing themes, labels, and colors &bull; Building dashboards with ggplot extensionsMODULE 5: STATISTICAL ANALYSIS WITH R &bull; Hypothesis testing and p-values &bull; Correlation and association measures &bull; T-tests, chi-square, and ANOVA &bull; Non-parametric methods for non-normal data &bull; Applying inferential statistics to NGO project outcomesMODULE 6: REGRESSION AND PREDICTIVE MODELING &bull; Linear regression for trend analysis &bull; Logistic regression for classification &bull; Model assumptions and diagnostics &bull; Predictive modeling in finance and operations &bull; Communicating regression results to decision-makersMODULE 7: WORKING WITH TIME SERIES DATA &bull; Importing and structuring time series &bull; Identifying seasonality and trends &bull; Forecasting techniques with R &bull; Case study: economic or financial forecasting &bull; Automating recurring time series analysisMODULE 8: BIG DATA AND INTEGRATION &bull; Handling large datasets efficiently &bull; Using R with databases and SQL &bull; Accessing APIs for real-time data &bull; Introduction to R with cloud computing platforms &bull; Connecting R outputs with Excel or BI toolsMODULE 9: REPRODUCIBLE ANALYSIS WITH R MARKDOWN &bull; Creating professional reports with code and outputs &bull; Embedding tables, charts, and models &bull; Automating recurring reports for managers &bull; Customizing templates for organizations &bull; Sharing reports with stakeholdersMODULE 10: CAPSTONE PROJECT: REAL-WORLD DATA CHALLENGE &bull; Defining a problem relevant to your organization &bull; Applying data import, cleaning, and analysis &bull; Visualizing and modeling data with R &bull; Presenting findings in R Markdown &bull; Peer feedback and final reflectionsPlease apply with cv and photographJob Types: Part-time, Temporary, Contract Contract length: 12 monthsPay: AED50.00 per hourExpected hours: 40 per week

Trainer for R Programming for Data Science Course

Freelance Trainer on CYBER SECURITY RISK ASSESSMENT AND MANAGEMENT TRAINING COURSE (APPLY ONLY IF YOU ARE A TRAINER)Course Overview Today&rsquo;s organizations do not just want IT controls; they demand justified, risk-based cyber security decisions. Whether you are approving a new system, moving to the cloud, engaging a third-party vendor, or rolling out a digital service, leaders are expected to understand the cyber implications and demonstrate that risks are assessed, prioritized, and managed. This course transforms cyber security risk assessment from a technical checklist into a practical management tool. Participants will not become penetration testers, but they will become disciplined evaluators of cyber exposure. They will learn how to identify critical assets, map threats and vulnerabilities, assess likelihood and impact, score and prioritize risks, and select cost-effective controls. Additionally, participants will align cyber risk decisions with legal, regulatory, and governance requirements and communicate risk clearly to executives and non-technical stakeholders. The course is hands-on, scenario-based, and tailored for leaders and managers who must integrate cyber risk thinking into projects, operations, and strategy.By the end, participants will be equipped to ask better questions, challenge assumptions, and support their organizations in building a stronger security posture.Target Audience This course is designed for professionals who regularly make or influence decisions that affect cyber security risk: This course is designed for: IT managers and system owners responsible for critical applications and infrastructure Information security and risk officers involved in cyber risk assessment and reporting Compliance and governance professionals overseeing security, privacy, and regulatory requirements Public sector staff managing digital services, citizen data, or national systems NGO and development program leaders handling sensitive beneficiary and donor information Procurement and vendor management teams evaluating third-party and cloud service providers Finance and operations managers approving security budgets and investments HR and people managers responsible for policies, access, and staff awareness Project managers leading digital transformation, system upgrades, or new platforms Anyone who must understand, explain, and justify cyber risk decisions to stakeholdersLearning Objectives This course equips you to identify, assess, prioritize, and manage cyber security risks in a structured, business-aligned way.By the end of this course, you'll be able to: Understand core principles of cyber security risk assessment and risk management Identify critical assets, data, and processes that must be protected Recognize common threats, vulnerabilities, and attack paths across sectors Assess likelihood and impact to generate clear, comparable cyber risk ratings Prioritize risk treatment options using structured, risk-based decision-making Select and justify appropriate controls, safeguards, and mitigation measures Communicate cyber risks and treatment plans clearly to technical and non-technical stakeholders Align cyber risk decisions with legal, regulatory, and organizational governance frameworksProfessional and Organizational Impact When you think in terms of cyber risk, impact, and likelihood, you move from reacting to incidents to leading secure, informed decisions. As a participant, you will benefit by: Improve your ability to interpret and explain cyber risk reports and dashboards Gain confidence when challenging, approving, or defending cyber-related investments Reduce guesswork and fear-driven decisions about security controls and tools Strengthen your strategic planning by integrating cyber risk into project and portfolio decisions Position yourself as a trusted partner between technical teams and senior leadership Enhance your reputation as a risk-aware, security-conscious professional Build your influence in digital transformation, compliance, and governance discussions Organizations led by cyber risk thinkers are more resilient, trusted, and prepared for disruption. Your organization will benefit from: Smarter use of security budgets and technology investments More consistent, transparent, and documented cyber risk decisions Stronger alignment between security controls and business priorities Reduced likelihood and impact of incidents, breaches, and service disruptions Faster and more coordinated response when an incident occurs Improved compliance with regulations, standards, and audit expectations Increased stakeholder confidence in how digital assets and data are protectedTraining Methodology This is a practical, outcome-driven course designed to turn cyber security risk theory into daily decision-making power. Methodology includes: Interactive cyber risk assessment exercises using realistic scenarios Threat and vulnerability mapping for real-world systems and processes Simple tools, checklists, and templates for risk registers and treatment plans Role-playing for presenting cyber risk and treatment options to executives Group work comparing different risk treatment strategies and control options Case studies from public, private, and NGO environments, including breaches and lessons learned Reflection prompts to challenge current security assumptions and habits Course Outline MODULE 1: PRINCIPLES OF CYBER SECURITY RISK THINKING What cyber risk is and why it matters beyond IT Understanding assets, threats, vulnerabilities, impact, and likelihood Cyber risk vs. information security vs. IT operations When to apply cyber risk assessment in projects and operations Common missteps in framing cyber risk as purely technicalMODULE 2: IDENTIFYING CRITICAL ASSETS, DATA, AND PROCESSES Mapping business services, systems, and information flows Classifying data by sensitivity, criticality, and regulatory requirements Identifying 'crown jewels' and single points of failure Considering people, technology, and third-party dependencies Using asset registers and data inventories MODULE 3: THREATS, VULNERABILITIES, AND EXPOSURE. Common threat actors and tactics (internal and external) Typical vulnerabilities in applications, infrastructure, and processes Human factor risks: social engineering, weak practices, insider threats Emerging risks from cloud, mobile, and remote work models Simple techniques to map and visualize threat pathsMODULE 4: CYBER RISK ASSESSMENT AND SCORING Qualitative vs. quantitative approaches to risk assessment Estimating likelihood and impact with practical scales Risk matrices, heat maps, and scoring models Using scenarios and what-if analysis to test assumptions Creating and maintaining a cyber risk register MODULE 5: SELECTING AND EVALUATING SECURITY CONTROLS Types of controls: preventive, detective, corrective, and compensating Aligning controls with frameworks such as ISO 27001 or NIST CSF Assessing control effectiveness and control gaps Balancing usability, cost, and security requirements Prioritizing controls based on risk reduction and value for moneyMODULE 6: CYBER RISK MANAGEMENT IN PROJECTS AND CHANGE INITIATIVES Integrating risk assessment into system development and procurement Evaluating cloud services, third-party platforms, and outsourcing arrangements Security requirements in contracts and service level agreements Managing risk during digital transformation and system upgrades Case examples from public, NGO, and corporate projects MODULE 7: GOVERNANCE, COMPLIANCE, AND REGULATORY EXPECTATIONS The role of policies, standards, and governance structures Data protection, privacy, and sector-specific regulations Documentation, evidence, and audit readiness Roles and responsibilities: boards, executives, IT, and business units Aligning cyber security with enterprise risk managementMODULE 8: HUMAN FACTORS AND SECURITY CULTURE Why people are both the weakest link and strongest defense Designing effective awareness and training programs Policy design that supports, rather than frustrates, staff Handling user resistance and fatigue toward security measures Measuring and reinforcing security culture improvements MODULE 9: INCIDENT RESPONSE AND BUSINESS CONTINUITY INTEGRATION Linking risk assessment with incident response planning Identifying likely incidents and preparing playbooks Roles and communication during an incident Learning from incidents: root cause, lessons, and improvements Ensuring continuity of critical services during cyber disruptionsMODULE 10: COMMUNICATING AND DEFENDING CYBER RISK DECISIONS Tailoring messages for executives, boards, regulators, and technical teams Using visuals, dashboards, and summaries to explain risk clearly Reporting assumptions, limitations, and residual risk transparently Handling scrutiny and difficult questions about security decisions Turning cyber risk discussions into shared understanding and actionPlease apply with CV and Photograph only if you are a freelance Trainer. If you do not have training experience PLEASE DO NOT APPLYJob Types: Part-time, Permanent, Contract Contract length: 24 monthsPay: AED50.00 per hourExpected hours: 40 per week

Trainer on Cyber Security and Management Training

Freelance Trainer required (Only Trainers must apply) Course Title: Advanced Irrigation Systems &amp; Automation with Netafim, Hunter ACC2 (75&#8209;Station) &amp; Rain Bird ControllersDuration: 5 Days (approx. 7&ndash;8 hours per day) Format: Classroom + Hands&#8209;on labs + Field / demo site work1. Course OverviewThis 5&#8209;day program gives participants a solid foundation in irrigation system design, operation, and troubleshooting, with a strong focus on automated control systems using:<ul><li>Netafim controllers (e.g., NMC&#8209;Pro, NetBeat platforms for irrigation/fertigation) Netafim+2ManualsLib+2</li><li>Hunter ACC2 75&#8209;station decoder controller (ACC2 Decoder series) Hunter Irrigation+2Hunter Irrigation+2</li><li>Rain Bird ESP&#8209;LX series controllers (LXME / LXME2 / LXIVM families) Rainbird+3Rainbird+3Rainbird+3</li></ul>The course blends hydraulic fundamentals with practical programming, commissioning, and fault&#8209;finding on real or simulated controller hardware. By the end, participants will be able to design, program, operate and maintain modern automated irrigation systems for landscapes, turf, agriculture, and commercial sites.2. Learning ObjectivesBy the end of the course, participants will be able to:Fundamentals &amp; Design<ul><li>Explain core irrigation concepts: soil&#8209;water&#8209;plant relationships, evapotranspiration (ET), application rate, distribution uniformity, and system efficiency.</li><li>Interpret basic hydraulic parameters (flow, pressure, friction loss) and apply them to pipe sizing and station layout.</li><li>Identify and specify key system components: pumps, filters, valves, emitters, drippers, sprinklers, sensors, and communication wiring.</li></ul>Automation &amp; Controllers<ul><li>Describe the architecture of automated irrigation systems (field wiring, decoders, communication buses, sensors, fertigation units).</li><li>Program Netafim controllers for irrigation and fertigation schedules, including sensor&#8209;based and weather&#8209;based adjustment. ManualsLib+1</li><li>Configure and program a Hunter ACC2 75&#8209;station decoder controller, including stations, programs, flow sensors, and alarms. Hunter Irrigation+2Hunter Irrigation+2</li><li>Configure Rain Bird ESP&#8209;LX series controllers (conventional and 2&#8209;wire) for multiple programs, flow management and water windows. Rainbird+3Rainbird+3Rainbird+3</li></ul>Operation, Monitoring &amp; Troubleshooting<ul><li>Commission new installations: valve mapping, station verification, pressure and flow checks, and sensor calibration.</li><li>Diagnose and rectify common electrical and hydraulic faults (wiring issues, short circuits, valve failures, low pressure, clogged filters).</li><li>Use built&#8209;in diagnostics, logs, and alarms in Netafim, Hunter ACC2 and Rain Bird controllers to troubleshoot system issues.</li><li>Optimize schedules for water saving and energy efficiency while maintaining landscape/crop quality.</li><li>Develop basic standard operating procedures (SOPs) and documentation for ongoing operation and maintenance.</li></ul>3. Target AudienceThis course is designed for:<ul><li>Irrigation contractors and technicians</li><li>Grounds and facilities managers (golf courses, stadiums, campuses, parks)</li><li>Farm and estate managers using drip/micro, sprinkler, or mixed systems</li><li>Landscape architects/irrigation designers who want practical controller skills</li><li>Municipal water and parks department staff</li><li>Technical sales/support staff for irrigation suppliers and distributors</li></ul>4. Training Methodology<ul><li>Interactive classroom sessions &ndash; short lectures, live demos, Q&amp;A, case studies.</li><li>Hands&#8209;on controller labs &ndash; programming exercises on Netafim, Hunter ACC2, and Rain Bird controller hardware or simulators.</li><li>Field / demo&#8209;site sessions &ndash; valve boxes, decoders, wiring, pressure measurements, sensor checks.</li><li>Group design exercises &ndash; small teams to design and sequence a system for a sample site.</li><li>Scenario&#8209;based fault finding &ndash; simulated breakdowns and alarms to practice structured troubleshooting.</li><li>Daily quizzes &amp; final practical assessment &ndash; to cement learning and give measurable outcomes.</li></ul>6. Detailed 5&#8209;Day Course PlanTimes are indicative; adjust to your local schedule and hardware availability.Day 1 &ndash; Irrigation Fundamentals &amp; System ComponentsMorning<ul><li>Session 1: Introduction &amp; Safety (1 hr)</li><li>Course structure, assessment and expectations</li><li>Electrical and hydraulic safety around pumps, valves, controllers</li><li>Lock&#8209;out/tag&#8209;out basics; safe use of test equipment</li><li>Session 2: Soil&ndash;Water&ndash;Plant &amp; Irrigation Methods (1.5 hrs)</li><li>Soil texture, infiltration rate, field capacity, wilting point</li><li>ET, crop coefficients, irrigation frequency and run time</li><li>Surface, sprinkler, and drip/micro irrigation &ndash; pros/cons, appropriate use</li><li>Session 3: Hydraulics Essentials (1.5 hrs)</li><li>Pressure, flow, friction loss, elevation effects</li><li>Reading pump curves; mainline and lateral sizing concepts</li><li>Practical mini&#8209;exercise: calculate pressure and flow at a distant station</li></ul>Afternoon<ul><li>Session 4: System Components &amp; Architecture (2 hrs)</li><li>Pumps, filters, valves, air valves, pressure regulators</li><li>Emitters, sprinklers, dripline layout, mainline and lateral layout</li><li>Overview of conventional vs. 2&#8209;wire/decoder systems</li><li>Typical architecture of Netafim, Hunter ACC2, Rain Bird ESP&#8209;LX systems</li><li>Lab 1: Component Identification &amp; Basic Assembly (1.5 hrs)</li><li>Hands&#8209;on inspection of valves, solenoids, filters, drippers, sprinklers</li><li>Build a simple manifold with valves and dripline</li><li>Demonstration of pressure and flow differences with different nozzles</li></ul>Day 2 &ndash; System Design, Zoning &amp; Introduction to AutomationMorning<ul><li>Session 5: Irrigation Zoning &amp; Station Layout (2 hrs)</li><li>Criteria for grouping plants and sprinklers into zones/stations</li><li>Matching precipitation rates and head spacing</li><li>Calculating run times based on ET and application rate</li><li>Exercise: design zones for a small landscape/golf fairway/farm block</li><li>Session 6: Wiring Basics &amp; Sensors (1.5 hrs)</li><li>Low&#8209;voltage control wiring basics, gauge selection, splices</li><li>2&#8209;wire/decoder design rules (loop vs. radial, maximum distances) Hunter Irrigation+1</li><li>Common sensors: rain/freeze, soil moisture, flow meters, pressure switches</li></ul>Afternoon<ul><li>Session 7: Introduction to Controllers &amp; Programming Concepts (2 hrs)</li><li>Generic controller concepts: stations, programs, start times, run times, cycles/soak, seasonal adjustment</li><li>Manual vs. automatic mode; master valve / pump start</li><li>Overview:</li><li>Netafim (NMC&#8209;Pro, NetBeat / NetMCU overview) Netafim+2Netafim USA+2</li><li>Hunter ACC2 (conventional vs. decoder) Hunter Irrigation+2Hunter Irrigation+2</li><li>Rain Bird ESP&#8209;LX (LXME, LXME2, LXIVM series) Rainbird+3Rainbird+3Rainbird+3</li><li>Lab 2: Generic Controller Programming Exercise (1.5 hrs)</li><li>Using training controllers or software simulators</li><li>Create simple programs: turf vs shrub zones, different start times</li><li>Introduce cycle&#8209;and&#8209;soak to prevent runoff</li></ul>Day 3 &ndash; Netafim Automation &amp; FertigationMorning<ul><li>Session 8: Netafim Controller Hardware &amp; Architecture (1.5 hrs)</li><li>Overview of NMC&#8209;Pro and/or NetBeat NetMCU hardware and I/O capacity ManualsLib+2Netafim USA+2</li><li>Wiring to valves, pumps, fertigation units, filters and sensors</li><li>Communication options (PC/remote, RTU concepts where applicable) Netafim USA+1</li><li>Session 9: Netafim Irrigation Programming (2 hrs)</li><li>Creating irrigation programs by time, volume, and conditions ManualsLib+1</li><li>Calendar&#8209;based, ET&#8209;based, and sensor&#8209;triggered irrigation</li><li>Grouping valves and handling long&#8209;run irrigation (e.g., &gt;24h scenarios)</li></ul>Afternoon<ul><li>Session 10: Netafim Fertigation &amp; Filter Automation (1.5 hrs)</li><li>Dosing channels, EC/pH control, fertigation by time vs proportional to flow ManualsLib+2Netafim USA+2</li><li>Automatic filter flushing sequences</li><li>Safety considerations: chem handling, injection lockouts</li><li>Lab 3: Netafim Practical Programming &amp; Diagnostics (2 hrs)</li><li>Step&#8209;by&#8209;step programming of:</li><li>A multi&#8209;valve irrigation schedule</li><li>A basic fertigation program (simulated)</li><li>Running test programs; viewing logs/history</li><li>Simulated issues: sensor failure, valve not responding, flow outside expected range &ndash; and how to diagnose in the controller</li><li>Mini&#8209;Assessment &amp; Q&amp;A (0.5 hr)</li><li>Short quiz on Netafim concepts</li><li>Open Q&amp;A on participants&rsquo; own Netafim installations</li></ul>Day 4 &ndash; Hunter ACC2 (75 Stations) &amp; Rain Bird ESP&#8209;LX ControllersMorning &ndash; Hunter ACC2<ul><li>Session 11: Hunter ACC2 75&#8209;Station Decoder Controller Overview (1.5 hrs)</li><li>ACC2 decoder architecture, station and flow capacity (75&#8209;225 stations, multiple flow sensors, multiple P/MV outputs) SiteOne Landscape Supply+3Hunter Irrigation+3Hunter Irrigation+3</li><li>Conventional vs. decoder configurations</li><li>Design considerations for 2&#8209;wire paths (distances, branching, grounding) Hunter Irrigation+1</li><li>Session 12: ACC2 Programming &amp; Flow Management (1.5 hrs)</li><li>Creating and managing up to 32 programs, start times, station groups/blocks Hunter Irrigation+2SiteOne Landscape Supply+2</li><li>Flow monitoring, flow zones, and alarm responses</li><li>Simultaneous station operation and hydraulic management</li><li>Lab 4A: ACC2 Hands&#8209;On (1.5 hrs)</li><li>Mapping decoders/stations to field valves (on a trainer or simulated wiring)</li><li>Creating programs for different areas with flow&#8209;based scheduling</li><li>Simulate a high&#8209;flow leak; observe and respond to alarms</li></ul>Afternoon &ndash; Rain Bird ESP&#8209;LX<ul><li>Session 13: Rain Bird ESP&#8209;LX Series Overview (1.5 hrs)</li><li>ESP&#8209;LXME / LXME2 (modular up to 48 stations) &amp; ESP&#8209;LXIVM (2&#8209;wire up to 60/240 stations) Rainbird+3Rainbird+3Rainbird+3</li><li>Expansion modules, Flow Smart modules, and Smart Valve Technology</li><li>Typical landscape/golf/commercial applications</li><li>Session 14: Rain Bird ESP&#8209;LX Programming &amp; Water Management (1.5 hrs)</li><li>Programs, start times, station settings, water windows and seasonal adjust</li><li>Flow management features (FloWatch, FloManager, SimulStations, etc.) Rainbird+1</li><li>Use with weather sensors and central control where applicable</li><li>Lab 4B: ESP&#8209;LX Hands&#8209;On (1.5 hrs)</li><li>Add station modules and configure new stations</li><li>Create multiple programs with different water windows</li><li>Test a flow or sensor alarm scenario and practice corrective actions</li></ul>Day 5 &ndash; Integration, Troubleshooting, Optimization &amp; AssessmentMorning<ul><li>Session 15: Integrated System Operation &amp; Commissioning (2 hrs)</li><li>Checklist for commissioning new automated systems (all brands)</li><li>Valve and station verification, pressure/flow confirmation</li><li>Sensor installation checks: flow meters, rain/soil moisture sensors</li><li>Documenting final settings and as&#8209;built drawings</li><li>Session 16: Structured Troubleshooting (1.5 hrs)</li><li>Systematic approach: symptom &rarr; isolate &rarr; test &rarr; diagnose &rarr; remedy</li><li>Electrical faults: shorted solenoids, open circuits, decoder conflicts</li><li>Hydraulic faults: pressure loss, air locks, clogging, leaks</li><li>Using controller diagnostics (Netafim, ACC2, ESP&#8209;LX) to shorten fault&#8209;finding time</li></ul>Afternoon<ul><li>Session 17: Optimization &amp; Water/Energy Saving (1.5 hrs)</li><li>Applying ET data and soil moisture feedback to fine&#8209;tune schedules</li><li>Use of cycle&#8209;and&#8209;soak, station priority, and simultaneity to reduce pump energy</li><li>Practical examples of water savings after re&#8209;programming controllers</li><li>Group Project: Design &amp; Program a Complete System (1.5&ndash;2 hrs)</li><li>Teams receive a sample site (e.g., sports field complex, estate, farm block) with:</li><li>Map, plant types, water source limits, and hardware list</li><li>Tasks:</li><li>Propose zone layout and basic hydraulic concept</li><li>Select controller brand and architecture (Netafim / ACC2 / Rain Bird)</li><li>Create a program strategy (programs, start times, flow management)</li><li>Each team presents their design and reasoning.</li><li>Final Assessment &amp; Feedback (0.5&ndash;1 hr)</li><li>Short written quiz + practical demonstration (e.g., set up a program and resolve a fault)</li><li>Individual feedback and recommendations for further development</li><li>Course debrief and next&#8209;steps (advanced modules, certification routes, etc.)</li></ul>Job Types: Part-time, Temporary Contract length: 12 monthsPay: AED75.00 per hourExpected hours: 40 per week

Trainer on Advanced Irrigation Systems & Automation

<ul><li>Freelance AI Trainer for Business Leader- ONLY TRAINERS APPLY with CV and Photograph</li></ul>ARTIFICIAL INTELLIGENCE FOR BUSINESS LEADERS TRAINING COURSE Course Overview Artificial intelligence is no longer just for tech giants. Companies across every industry, from finance and healthcare to retail and logistics, are using AI to drive efficiency, improve decision-making, and create new opportunities. But successful AI adoption requires more than just investment in technology; it demands strong leadership, informed decision-making, and a clear vision. This course establishes a connection between AI technology and business strategy. You&rsquo;ll explore the fundamentals of machine learning, natural language processing, and automation, all from a leader&rsquo;s perspective. Through case studies and hands-on exercises, you&rsquo;ll discover how to assess AI opportunities, manage risks, and build AI-driven initiatives that deliver measurable resultsLearning Objectives :This course gives you the knowledge to lead AI-driven initiatives with confidence. &bull; Understand the core concepts of AI and machine learning &bull; Identify high-impact AI applications for business growth &bull; Assess the risks and ethical considerations of AI adoption &bull; Develop an AI implementation strategy aligned with your goals &bull; Work effectively with data scientists and AI teams &bull; Measure the success of AI-driven initiatives &bull; Leverage AI for automation, customer insights, and operational efficiency &bull; Navigate the legal and regulatory landscape of AIThis course helps businesses: Identify AI opportunities that drive revenue and efficiency &bull; Reduce costs by automating repetitive tasks &bull; Improve customer experience through AI-driven insights &bull; Strengthen risk management with predictive analytics &bull; Enhance data-driven decision-making across departments &bull; Ensure responsible AI adoption with ethical considerations &bull; Foster an AI-ready culture within the organizationTraining Methodology This is not a technical coding course&mdash;it&rsquo;s a hands-on, business-focused AI training designed for leaders. You&rsquo;ll learn through: Case studies showing AI&rsquo;s impact across industries Interactive discussions on AI strategy and risk management Group exercises to explore AI implementation challenges Live demonstrations of AI-powered tools in action Workshops on developing an AI roadmap for your business Expert insights from professionals working in AI strategyCourse OutlineMODULE 1: UNDERSTANDING AI AND ITS BUSINESS IMPACT: AI vs. traditional automation: What&rsquo;s the difference? Key AI technologies: Machine learning, NLP, and computer vision AI&rsquo;s role in decision-making and competitive advantage Myths and misconceptions about AI How AI is reshaping industries worldwideMODULE 2: AI STRATEGY FOR BUSINESS LEADERS: Identifying AI opportunities in your organization Building an AI-ready culture within teams Managing AI projects without a technical background Aligning AI initiatives with business objectives Avoiding common AI adoption pitfallsMODULE 3: AI-DRIVEN AUTOMATION AND EFFICIENCY: Streamlining operations with AI-powered automation AI for supply chain and logistics optimization Enhancing customer service with AI chatbots Predictive maintenance and operational forecasting Case studies of automation success storiesMODULE 4: AI AND DATA-DRIVEN DECISION-MAKING: How AI extracts insights from large datasets Understanding AI-powered predictive analytics Using AI for personalized customer experiences AI&rsquo;s role in fraud detection and risk assessment Leveraging AI for smarter marketing and sales strategiesMODULE 5: THE ETHICS AND RISKS OF AI ADOPTION: Bias in AI algorithms: Identifying and mitigating risks Privacy concerns and data security in AI applications The legal and regulatory landscape of AI AI and workforce transformation: Job displacement vs. augmentation Responsible AI development: Balancing innovation and ethicsMODULE 6: WORKING WITH AI TEAMS AND STAKEHOLDERS: Communicating AI projects to non-technical teams Collaborating with data scientists and engineers Managing AI project timelines and expectations Budgeting for AI investments Measuring AI success and ROIMODULE 7: AI IN MARKETING AND CUSTOMER ENGAGEMENT: Personalization at scale: AI-powered recommendations Sentiment analysis and brand monitoring with AI Chatbots and virtual assistants for customer support AI-driven content generation and advertising Data-driven customer segmentation with machine learningMODULE 8: AI IN FINANCIAL AND RISK MANAGEMENT: Predictive analytics for financial forecasting AI-powered fraud detection and compliance monitoring Algorithmic trading and investment strategies Risk assessment and credit scoring with AI AI&rsquo;s impact on financial regulations and auditsMODULE 9: EMERGING AI TRENDS AND FUTURE OPPORTUNITIES: The rise of generative AI and deep learning applications AI-powered robotics and autonomous systems The intersection of AI and IoT (Internet of Things) AI for sustainability and environmental impact Preparing for the next wave of AI advancementsMODULE 10: BUILDING YOUR AI ROADMAP: Conducting an AI readiness assessment for your organization, Defining key AI initiatives and success metrics Creating a phased AI adoption plan Identifying quick wins and long-term AI investments Gaining stakeholder buy-in for AI projectsJob Types: Part-time, Temporary, Contract Contract length: 12 monthsPay: AED50.00 per hourExpected hours: 20 per week

TRAINER ON AI FOR BUSINESS LEADERS

FREELANCE SUPPLIER RISK ASSESSMENT AND MANAGEMENT TRAINER: ONLY TRAINERS apply with CV and PhotographCourse OverviewSupplier risk management is no longer a &quot;nice-to-have&quot; but an essential component of any modern business strategy. With global supply chains stretching across regions, the risks associated with supplier relationships have never been higher. This course covers a comprehensive approach to identifying, analyzing, and mitigating risks associated with your suppliers. From financial stability and compliance risks to operational disruptions and geopolitical considerations, you'll learn how to build a proactive supplier risk management framework. The course blends theory and practice, ensuring that participants leave with actionable insights and practical tools they can implement immediately to protect their supply chain and reduce vulnerability.Learning Objectives&bull; Identify potential risks within your supplier base using comprehensive risk assessment frameworks, &bull; Develop proactive strategies to mitigate supplier-related risks before they impact your business, Evaluate suppliers based on financial, operational, legal, and geopolitical factors, &bull; Establish a supplier risk management plan that includes monitoring, reporting, and contingency plans, &bull; Implement continuous supplier performance evaluation processes, &bull; Enhance supplier collaboration while maintaining stringent risk protocols, &bull; Navigate complex supply chain disruptions, ensuring business continuity, &bull; Understand the impact of compliance, regulatory, and ethical risks associated with suppliers, &bull; Leverage technology to track, measure, and report on supplier riskTraining Methodology&bull; Interactive workshops with case studies to apply risk assessment models, &bull; Practical exercises for evaluating supplier risk scenarios, &bull; Group discussions to tackle common risk management challenges, &bull; Risk simulation exercises to prepare for potential disruptions, &bull; Continuous assessments and quizzes to reinforce key concepts, &bull; Post-training access to resources and expert supportCourse OutlineMODULE 1: INTRODUCTION TO SUPPLIER RISK MANAGEMENT&bull; Understanding Supplier Risk in Global Supply Chains&bull; Key Components of a Supplier Risk Management Framework&bull; The Role of Supplier Risk in Business Continuity Planning&bull; Case Studies: Major Supply Chain Failures and Lessons LearnedMODULE 2: RISK IDENTIFICATION AND CATEGORIZATION&bull; Financial Risks: Assessing Supplier Financial Health&bull; Operational Risks: Evaluating Supplier Capabilities and Capacity&bull; Geopolitical Risks: Navigating Political and Regulatory Landscapes&bull; Environmental and Social Risks: Ethical Sourcing and SustainabilityMODULE 3: SUPPLIER EVALUATION AND SELECTION&bull; Developing a Risk-Based Supplier Selection Process&bull; Using Risk Scorecards and Evaluation Tools&bull; Assessing New vs. Existing Suppliers for Risk Exposure&bull; Managing Supplier Qualification and Approval ProcessesMODULE 4: BUILDING A SUPPLIER RISK MANAGEMENT PLAN&bull; Crafting a Comprehensive Risk Management Policy&bull; Developing Risk Mitigation Strategies&bull; Contingency Planning for Supplier Failures&bull; Aligning Supplier Risk Management with Corporate GovernanceMODULE 5: MONITORING AND REPORTING SUPPLIER RISKS&bull; Establishing Key Risk Indicators (KRIs) for Supplier Performance&bull; Supplier Risk Audits and Continuous Monitoring&bull; Utilizing Technology for Real-Time Supplier Risk Tracking&bull; Reporting Supplier Risk to Stakeholders and LeadershipMODULE 6: SUPPLIER RELATIONSHIP MANAGEMENT (SRM) &amp; RISK MITIGATION&bull; Balancing Risk and Collaboration in Supplier Relationships&bull; Negotiating Contracts with Risk Mitigation in Mind&bull; Supplier Risk Mitigation through Performance Incentives&bull; Creating Collaborative Risk Management Plans with SuppliersMODULE 7: COMPLIANCE AND REGULATORY RISKS&bull; Understanding Regulatory Requirements and Compliance Risks&bull; Mitigating Legal and Contractual Risks in Supplier Agreements&bull; Managing Ethical Sourcing and Compliance with Global Standards&bull; Handling Supplier Non-Compliance and Contract BreachesMODULE 8: CRISIS MANAGEMENT AND SUPPLY CHAIN RESILIENCE&bull; Preparing for Supply Chain Disruptions and Natural Disasters&bull; Creating and Implementing Supplier Crisis Response Plans&bull; Managing Supplier Risks During Pandemics and Global Events&bull; Lessons from Successful Crisis Management in Supply ChainsMODULE 9: LEVERAGING TECHNOLOGY FOR SUPPLIER RISK MANAGEMENT&bull; Digital Tools for Supplier Risk Tracking and Evaluation&bull; Using AI and Predictive Analytics in Risk Management&bull; Automating Supplier Risk Monitoring and Reporting&bull; Cybersecurity Risks in Supplier Relationships and Data SharingJob Types: Part-time, Temporary, Contract Contract length: 12 monthsPay: AED50.00 per hourExpected hours: 20 per week

SUPPLIER RISK ASSESSMENT AND MANAGEMENT TRAINER

Freelance Soft Skills and Management Trainer: ONLY TRAINERS APPLYJob description:A Soft Skills and Management Trainer develops and delivers training programs to enhance employees' interpersonal skills, communication, teamwork, and problem-solving abilities. They assess training needs, create engaging learning materials, and evaluate program effectiveness to ensure that employees develop the necessary skills to excel in their roles and contribute to the company's success.They shouild be able to train both blue collared and White collared workers and hence knowledge of ENGLISH, Urdu, Hindi, Malayalam, Tamil, Telugu, Kannada etc., is preferedJob Type: Part-timeExpected hours: 20 per weekWork Location: In person, in UAE mostly in Dubai and Abudhabi.Expected Start Date: immediateJob Types: Part-time, Temporary, ContractContract length: 2 monthsExperience:<ul><li>Soft Skills Training: 5 years (Required)</li><li>Management Topics Training: 5 years (Required)</li><li>Trained Blue Collared Workers: 3 years (Required)</li><li>Training White Collared Workers: 5 years (Required)</li><li>Content Development: 3 years (Required)</li><li>Games and Activity Based Training: 3 years (Required)</li></ul>License/Certification:<ul><li>driving license (Required)</li></ul>Job Types: Part-time, Temporary, Contract Contract length: 12 monthsPay: AED50.00 per hourExpected hours: 20 per week

Management and Soft Skills Trainer

Join Solomon People Soluitons and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.