4470 Technology courses

This course will teach you everything that you need to know to get started with C# scripting in Unity. You will learn step-by-step from scratch every feature of the C# language as well as how to implement them in Unity's API to build amazing games.

The PMP course covers the latest trends, emerging practices, and core competencies that are required by a project management professional. Learners will also get an understanding of real-world scenarios through the case studies that are developed by the industry PMP-certified veterans.

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for technical professionals who support, install, deploy or administer Check Point products. This course is recommended for technical professionals who perform advanced deployment configurations of Check Point products. Overview CCSA Know how to perform periodic administrator tasks. Describe the basic functions of the Gaia operating system. Recognize SmartConsole features, functions, and tools. Understand how SmartConsole is used by administrators to give user access. Learn how Check Point security solutions and products work and how they protect networks. Understand licensing and contract requirements for Check Point security products. Describe the essential elements of a Security Policy. Understand the Check Point policy layer concept. Understand how to enable the Application Control and URL Filtering software. Blades to block access to various applications. Describe how to configure manual and automatic NAT. Identify tools designed to monitor data, determine threats and recognize opportunities for performance improvements. Describe different Check Point Threat Prevention solutions for network attacks. Articulate how the Intrusion Prevention System is configured, maintained and tuned. Understand the Infinity Threat Prevention system. Knowledge about Check Point's IoT Protect. CCSE Provide an overview of the upgrade service and options available. Explain how to perform management upgrade and migration. Articulate the process using CPUSE features. Articulate the purpose and function of Management High Availability. Explain Primary vs Secondary, Active vs Standby and Synchronization. Explain disaster recovery steps in case the primary management server becomes unavailable. Provide overview of Central Deployment in SmartConsole. Articulate an understanding of Security Gateway cluster upgrade methods. Explain about Multi Version Cluster (MVC) upgrades. Discuss Gaia Commands and how they are used. Explain the main processes on s and s. Describe how to work with scripts and SmartTasks to configure automatic actions. Explain the Management Data Plane Separation (MDPS) Explain kernel operations and traffic flow Articulate Dynamic and Updatable Objects in Security Gateways Explain the policy installation flow and files used. Describe the use of policy installation history. Explain concurrent and accelerated install policy. Describe an overview of APIs and ways to use and authenticate. Explain how to make changes in GAIA and management configuration. Explain how to install policy using API. Explain how the SecureXL acceleration technology enhances and optimizes Security Gateway performance. Learn basic concepts and develop skills necessary to administer IT security fundamental tasks. CCSA Outline Configure the Security Management Server. Use the WebUI to run the First Time Wizard. Install the Smart Console. Install the Alpha Gateway using the network detailed in the course topology. Demonstrate how the Security Management Server and Gateway communicate. Test SIC Status. Create multiple administrators and apply different roles and permissions for simultaneous administration. Validate existing licenses for products installed on the network. Create and configure host, network and group objects. Create a simplified Security Policy. Demonstrate how to use Security Zones in policy. Demonstrate how to share a layer between Security Polices. Configure Network Address Translation for server and network objects. Enable Identity Awareness. Deploy user access roles for more granular control of the security Policy. Generate network Traffic and use traffic visibility tools to monitor the data. Use SmartConsole and SmartView Monitor to view status, alerts, and block suspicious traffic. CCSE Outline Prepare for a Security Management Server Upgrade Upgrade the Security Management Server Deploy a Secondary Security Management Server Configure a Distributed Log Server Upgrade a Security Gateway from SmartConsole Work with the Command Line Use Scripts and SmartTasks Configure Dynamic Objects Monitor Traffic Verify Policy Installation and Status Work with Gaia and Management APIs Work with Acceleration Features Configure a Locally Managed Site to Site VPN Configure a Site to Site VPN with an Interoperable Device Configure Remote Access VPN Configure Mobile Access VPN Configure a High Availability Cluster Work with ClusterXL Configure Policy Compliance Deploy SmartEvent

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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 ideal for those who regularly deploy or manage Meraki networks and want to deepen their technical expertise and understanding of the full Meraki product suite and features. This may include professionals with job titles or in roles such as: Consulting Systems Engineer Deployment Engineer Network Administrator Network Manager Network Engineer Site Reliability Engineer Systems Engineer Technical Solutions Architect Wireless Design Engineer Wireless Engineer Overview After completing the course, you should be able to: Plan new Cisco Meraki architectures and expand existing deployments Design the network for scalable management and high availability Describe how to automate and scale Meraki deployments with dashboard tools Use dynamic routing protocols to expand networks and improve WAN performance Describe proper QoS, policy and performance-based routing configurations across a Cisco Meraki network and WAN optimization through traffic shaping Describe Virtual Private Network (VPN) and Wide Area Network (WAN) topologies and how to integrate them Secure, expand, and shape the network Implement switched network concepts and practices, and configure guests networks Implement wireless configurations concepts and practices Describe endpoint management concepts and practices using Cisco Meraki Systems Manager Describe physical security concepts and practices Gain network insight by monitoring applications Describe how to prepare monitoring, logging, and alerting services Set up reporting and auditing capabilities in the Cisco Meraki dashboard Monitor and troubleshoot issues using Cisco Meraki tools The course, Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 elevates your knowledge of Cisco© Meraki? technology suite. In this advanced technical training course, you?ll learn how to plan for network deployments and integrations using the Cisco Meraki platform. Through practical hands-on instruction and experiences, you will learn how to operate Meraki networks and troubleshoot complex network incidents using the Meraki Dashboard and analytics. You will also learn how to design Meraki architectures for redundancy, high-density, and scalability by implementing comprehensive Meraki product features to meet design objectives. This course is the second of two courses that prepares you for Cisco Meraki certification. Course Outline Planning new Cisco Meraki architectures and expanding existing deployments Designing for scalable management and high availability Automating and scaling Meraki deployments Designing routing and practices on the Meraki platform Describing Quality of Service (QoS) and traffic shaping design Building VPN and WAN topologies Securing, expanding, and shaping the network Describing network concepts and practices Implementing wireless configuration practices and concepts Describing Endpoint management concepts and practices Describing physical security concepts and practices Gaining network insight through monitoring applications Preparing monitoring, logging, and alerting services Setting up reporting and auditing capabilities in the Cisco Meraki Dashboard Gaining visibility and resolving issues using Meraki features and built-in troubleshooting tools Additional course details: Nexus Humans Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Engineering Cisco Meraki Solutions Part 2 (ECMS2) v2.1 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 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

The Moving &Handling Course is a full day course to ensure that care workers are competent and confident to carry out their duties to the standards expected by the Care Quality Commission (CQC) when Moving & Handling People. The course is a mixture of theory and practical elements, using various forms of equipment used in the community. Training Aim: To equip learners with the knowledge and skills necessary to safely and effectively move and handle individuals, minimising the risk of injury to both the care giver and the person being moved, whilst promoting dignity and comfort for the individual. Learning Outcomes: By the end of the session, learners will be able to: Discuss the legal responsibilities, procedures and duty of care when moving and handling individuals Demonstrate abilities when using equipment in line with individual handling plans Explain and understand biomechanical principles Discuss and demonstrate safer moving and handling principles and techniques Identify and demonstrate the safe use of moving and handling equipment Demonstrate abilities to risk assess and carry out POSRA Recognise unsafe practice and the implementing of safer practices Instructions Please can learners ensure they wear trousers and a full shoe. Learners need to be physically fit and well to undertake the activities for Moving & Handling of People. Directions Complete Training Somerset House, Sandal Castle Centre Asdale Road Wakefield WF2 7JE All training is carried out at our office (Somerset House, map is attached). Please note that we do not provide lunch so you will have to bring your own. Please do not park in the office car park as not all spaces belong to us. There is available parking in Asda and Aldi next door, or the public car park at either side of Square Pizza Amenities Rest Room Fridge on site Parking Toilets

Are you looking to step into the REST API automation industry with the latest technologies in the market? Are you keen to learn REST API automation using REST Assured with Java and other latest framework technologies? Interested in learning how REST APIs are automated in projects? Then this course is for you.

Dive into the heart of programming with our course, 'C++ Development: The Complete Coding Guide,' where coding becomes an art and a language in itself. From setting up your development environment to exploring advanced concepts like classes and file I/O, this course is your gateway to mastering the intricate world of C++. Each section unfolds a new layer, unraveling the mystery behind operators, functions, and the mighty preprocessor. It's not just about learning syntax; it's about crafting elegant and efficient code that speaks the language of innovation. Join us on this coding adventure, where your journey from a novice to a C++ maestro awaits! Learning Outcomes Master the fundamentals of C++ programming, from setup to advanced data types. Explore the intricacies of operators, string streams, and control flow statements. Develop a deep understanding of functions and their role in code efficiency. Delve into advanced concepts like classes, file I/O, and the powerful preprocessor. Hone your coding skills with practical exercises and real-world applications. Why choose this C++ Development: The Complete Coding Guide course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this C++ Development: The Complete Coding Guide course for? Aspiring programmers eager to delve into the world of C++ development. Students pursuing computer science or related disciplines. Professionals looking to enhance their coding expertise. Tech enthusiasts curious about the inner workings of C++. Anyone seeking a dynamic skill set in the competitive world of programming. Career path Junior C++ Developer: £25,000 - £35,000 Software Engineer: £30,000 - £45,000 Senior C++ Programmer: £40,000 - £60,000 System Architect: £50,000 - £70,000 Technical Lead: £60,000 - £80,000 Chief Technology Officer (CTO): £80,000 and above Prerequisites This C++ Development: The Complete Coding Guide does not require you to have any prior qualifications or experience. You can just enrol and start learning.This C++ Development: The Complete Coding Guide was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction & Setting Up Introduction 00:04:00 What Is C++? 00:03:00 Setting up A Project 00:07:00 Section 02: Basics Console Out 00:04:00 Data Types 00:03:00 Variables 00:04:00 Console In 00:03:00 Strings 00:04:00 Constants 00:05:00 Section 03: Operators Assignment Operator 00:03:00 Arithmetic Operators 00:04:00 Compound Assignment Operator 00:03:00 Increment & Decrement Operators 00:04:00 Relation & Comparison Operators 00:06:00 Logical Operators 00:07:00 Conditional Ternary Operator 00:04:00 Comma Operator 00:03:00 Type Casting Operator 00:02:00 Bitwise Operators 00:12:00 Size of Operator 00:03:00 Operator Precedence 00:05:00 Section 04: String Streams String Streams 00:04:00 Section 05: Statements & Loops Conditional Statements 00:07:00 For Loop 00:04:00 While Loop 00:03:00 Do While Loop 00:04:00 Range-Based For Loop 00:03:00 GoTo Statement 00:04:00 Switch Statement 00:05:00 Section 06: Functions Functions 00:03:00 Function Return Statement 00:04:00 Function Arguments Passed By Value 00:05:00 Function Arguments Passed By Reference 00:05:00 Function Parameter Default Values 00:03:00 Overloaded Functions 00:04:00 Function Templates 00:04:00 Namespaces 00:06:00 Section 07: Advanced Data Types Arrays 00:03:00 Multidimensional Arrays 00:03:00 References 00:02:00 Pointers 00:04:00 Delete Operator 00:02:00 Struct 00:04:00 Type Aliasing 00:03:00 Unions 00:04:00 Enumerators 00:04:00 Section 08: Classes Introduction to Classes 00:05:00 Class Access 00:04:00 Class Constructor 00:05:00 Class Pointers 00:04:00 Overloading Operators 00:06:00 This Keyword 00:04:00 Constant Objects 00:03:00 Getters and Setters 00:05:00 Static Variables 00:04:00 Static Functions 00:06:00 Template Classes 00:05:00 Class Destructor 00:04:00 Class Copy Constructor 00:03:00 Friend Function 00:06:00 Friend Class 00:06:00 Class Inheritance 00:07:00 Multiple Class Inheritance 00:05:00 Virtual Methods 00:04:00 Abstract Base Class 00:03:00 Section 09: Errors Error Handling 00:04:00 Section 10: The Mighty Preprocessor Preprocessor Macro Definitions 00:04:00 Preprocessor Conditional Directives 00:05:00 Preprocessor Line Directive 00:04:00 Preprocessor Error Directive 00:03:00 Preprocessor Source File Inclusion 00:02:00 Section 11: File I/O Opening A File 00:06:00 Writing to a File 00:04:00 Section 12: Extras Commenting 00:04:00 Class Header and Implementation 00:09:00 Lists 00:04:00 Vectors 00:05:00 Resource Resource - C++ Development: The Complete Coding Guide 00:00:00 Assignment Assignment - C++ Development: The Complete Coding Guide 00:00:00

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support