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PHP for Beginners 2023 Guide: Develop a ECommerce Store Course Overview This course provides a comprehensive introduction to PHP programming through the development of a fully functional eCommerce store. Learners will explore core PHP concepts while building practical features such as product management, user authentication, shopping cart functionality, and payment integration using Stripe. Designed for beginners, the course emphasises clear, step-by-step instruction to equip learners with the skills needed to create dynamic, database-driven web applications. By the end of the course, participants will be confident in setting up a PHP environment, developing user and admin interfaces, and managing eCommerce workflows effectively. This guide is ideal for anyone looking to launch their journey into web development or expand their programming toolkit with essential PHP knowledge relevant to modern online retail solutions. Course Description Delving deeper into PHP fundamentals, this course guides learners through the full lifecycle of building an eCommerce website. It covers everything from installing the necessary tools to implementing secure authentication systems and managing product categories. Participants will learn how to structure their code efficiently, interact with databases, and integrate payment gateways like Stripe to process transactions securely. The curriculum balances foundational theory with project-based learning, ensuring students acquire not only programming syntax but also an understanding of real-world web application workflows. By mastering user-facing and admin panel functionalities, learners develop versatile skills applicable across various web development projects. Throughout the course, the focus remains on building scalable, maintainable code following best practices in PHP development. PHP for Beginners 2023 Guide: Develop a ECommerce Store Curriculum Module 01: Introduction Module 02: Installation Module 03: Getting Started with the Project and Authentication System Module 04: Preparing Products Module 05: Developing Cart and Payment with Stripe Module 06: Categories and Finishing Users Side Module 07: Getting Started with Admin Panel Module 08: Finishing Categories (Admin Side) Module 09: Finishing Products (Admin Side) Module 10: Update: Extra Lectures Module 11: Update - Creating a Wishlist System (See full curriculum) Who Is This Course For? Individuals seeking to learn web development with PHP. Professionals aiming to enhance their programming skills for career growth. Beginners interested in creating eCommerce websites. Anyone wanting to understand backend development and payment integration. Career Path Junior PHP Developer Web Developer (Front and Back End) ECommerce Developer Full Stack Developer Software Engineer in Web Technologies

Duration 4 Days 24 CPD hours This course is intended for This course is for people who have on the job experience doing project management activities and running projects, regardless of their job title. It is for those who wish to become certified project managers, or those that want to build or reinforce a foundation in project management. This course is ideal for a person who wants to grow and formalize their project management skills on an industry neutral, global standard, the Project Management Institute. Overview After completing this course, students will be able to: Demonstrate an understanding of the various project life cycles and processes. Distinguish between predictive and adaptive approaches. Demonstrate an understanding of project management planning. Demonstrate an understanding of project roles and responsibilities. Explain the importance of the role the project manager plays. Determine how to follow and execute and respond to planned strategies or frameworks (e.g., communication, risks, etc.). Demonstrate an understanding of common problem-solving tools and techniques. Identify the suitability of a predictive, plan-based approach for the organizational structure (e.g., virtual, colocation, matrix structure, hierarchical, etc.). Determine and give examples of the activities within each process. Demonstrate an understanding of a project management plan schedule. Determine how to document project controls of predictive, plan-based projects. Explain when it is appropriate and sustainable to use an adaptive approach for the organizational structure. Compare the pros and cons of adaptive and predictive, plan-based projects. Identify the suitability of adaptive approaches for the organizational structure (e.g., virtual, colocation, matrix structure, hierarchical, etc.). Identify organizational process assets and environmental factors that facilitate the use of adaptive approaches. Determine how to plan project iterations. Determine how to document project controls for an adaptive project. Distinguish between the components of different adaptive methodologies (e.g., Scrum, Extreme Programming (XP), Scaled Adaptive Framework (SAFe), Kanban, etc.). Determine how to prepare and execute task management steps. Demonstrate an understanding of business analysis (BA) roles and responsibilities. Demonstrate the importance of communication for a business analyst between various teams and stakeholders. Determine how to gather requirements and using the best approach for a situation. Explain the application of a product roadmap. Determine how project methodologies influence business analysis processes. Validate requirements through product delivery. Every career in project management has a beginning and that is the purpose of this course. You will learn the fundamentals of project management. This includes project performance, when to use the predictive or adaptive methodologies, business analysis domains, and frameworks, as well as the proper use of one of the various adaptive frameworks. Every career in project management has a beginning and that is the purpose of this course. You will learn the fundamentals of project management. This includes project performance, when to use the predictive or adaptive methodologies, business analysis domains, and frameworks, as well as the proper use of one of the various adaptive frameworks.

Duration 5 Days 30 CPD hours This course is intended for Entry- to mid-level network engineers Network administrators Network support technicians Help desk technicians Overview After taking this training, you should be able to: Illustrate the hierarchical network design model and architecture using the access, distribution, and core layers Compare and contrast the various hardware and software switching mechanisms and operation while defining the Ternary Content Addressable Memory (TCAM) and Content Addressable Memory (CAM) along with process switching, fast switching, and Cisco Express Forwarding concepts Troubleshoot Layer 2 connectivity using VLANs and trunking Implement redundant switched networks using Spanning Tree Protocol Troubleshoot link aggregation using Etherchannel Describe the features, metrics, and path selection concepts of Enhanced Interior Gateway Routing Protocol (EIGRP) Implement and optimize Open Shortest Path First (OSPF)v2 and OSPFv3, including adjacencies, packet types and areas, summarization, and route filtering for IPv4 and IPv6 Implement External Border Gateway Protocol (EBGP) interdomain routing, path selection, and single and dual-homed networking Implement network redundancy using protocols such as Hot Standby Routing Protocol (HSRP) and Virtual Router Redundancy Protocol (VRRP) Implement internet connectivity within Enterprise using static and dynamic Network Address Translation (NAT) Describe the virtualization technology of servers, switches, and the various network devices and components Implement overlay technologies such as Virtual Routing and Forwarding (VRF), Generic Routing Encapsulation (GRE), VPN, and Location Identifier Separation Protocol (LISP) Describe the components and concepts of wireless networking, including Radio Frequency (RF) and antenna characteristics, and define the specific wireless standards Describe the various wireless deployment models available, including autonomous Access Point (AP) deployments and cloud-based designs within the centralized Cisco Wireless LAN Controller (WLC) architecture Describe wireless roaming and location services The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.3 training gives you the knowledge and skills needed to install, configure, operate, and troubleshoot an enterprise network and introduces you to overlay network design by using SD-Access and SD-WAN solutions. You?ll also learn to understand and implement security principles and automation and programmability within an enterprise network. Course Outline Examining Cisco Enterprise Network Architecture Exploring Cisco Switching Paths Implementing Campus LAN Connectivity Building Redundant Switched Topology Implementing Layer 2 Port Aggregation Understanding EIGRP Implementing OSPF Optimizing OSPF Exploring EBGP Implementing Network Redundancy Implementing NAT Introducing Virtualization Protocols and Techniques Understanding Virtual Private Networks and Interfaces Understanding Wireless Principles Examining Wireless Deployment Options Understanding Wireless Roaming and Location Services Examining Wireless AP Operation Implementing Wireless Client Authentication Troubleshooting Wireless Client Connectivity Implementing Network Services Using Network Analysis Tools Implementing Infrastructure Security Implementing Secure Access Control Discovering the Basics of Python Programming Discovering Network Programmability Protocols Implementing Layer 2 Port Aggregation Discovering Multicast Protocols Understanding QoS Exploring Enterprise Network Security Architecture Exploring Automation and Assurance Using Cisco DNA Center Examining the Cisco SD-Access Solution Understanding the Working Principles of the Cisco SD-WAN Solution

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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 aimed at developers who want to build web applications using ASP.NET Core or developers who want to make a career building web applications using Microsoft technology. In the web world, the ability to build robust web applications is key. With the knowledge about ASP.NET Core MVC (that makes use of the Model-View-Controller architecture) that you will take away from this course, you will be prepared to meet this need. In today's age, it's important for you as a developer to possess the ability to separate the programming and business logic. This course covering ASP.NET Core 2 will help you develop this skillset. Setting the Stage Introduction to Web Applications Creating ASP.NET Core application Controllers Role of the Controller in ASP.NET MVC Applications Introduction to Routing Our First Controller Implementing our own IActionResult Adding Views Adding Models Passing Data from the Controller to the View Filters Writing a Custom Filter Views The View Engine and the Razor View Engine Working with Layout Generating HTML Partial View View Components Tag Helpers Models Introduction to Models Model Binding The Entity Framework Using the Entity Framework in ASP.NET MVC applications Database Migration Validation Introduction to Validation Client-Side and Server-Side Validation Server-side Validation Client-side Validation Implementation Routing Convention-Based Routing Attribute-Based Routing Route Attribute at the Controller Level Passing Routing Values in HTTP Action Verbs in the Controller Route Constraints Rest Buy Designing Rest Buy Creating the Entities for the Application Creating EF Context and Migration Adding Features, Testing, and Deployment Adding the Registration Feature Creating a Unit Test Upgrading Our Application to Bootstrap 4 Deploying Rest Buy to Azure Additional course details: Nexus Humans Beginning ASP.NET 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 Beginning ASP.NET 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.

Javascript for Data Structures Course Overview This course, JavaScript for Data Structures, offers a comprehensive introduction to fundamental data structures using JavaScript. Learners will explore core concepts such as lists, stacks, queues, and sets, gaining a solid understanding of how data is organised and managed in programming. The course emphasises clear, logical thinking and problem-solving skills applicable to software development, data analysis, and computer science. By the end, participants will be able to implement key data structures effectively, enhancing their coding proficiency and preparing them for more advanced programming challenges or career opportunities in technology-related fields. Course Description This course delves into essential data structures within JavaScript, providing detailed coverage of lists, stacks, queues, and sets. Learners will study how these structures operate, their use cases, and how to manipulate them efficiently in code. The curriculum is designed to develop both theoretical understanding and coding ability through structured explanations and examples. Throughout the course, students will develop skills in data organisation, algorithmic thinking, and memory management principles. This knowledge is critical for writing optimised code and tackling complex computational problems in software development and data science domains. Javascript for Data Structures Curriculum Module 01: Introduction Module 02: Essential Concepts Module 03: List Data Structure Module 04: Stack Data Structure Module 05: Queue Data Structure Module 06: Set Data Structure Module 07: Final Thought (See full curriculum) Who Is This Course For? Individuals seeking to build strong foundations in data structures using JavaScript. Professionals aiming to enhance their software development skills. Beginners with an interest in programming and computer science. Students preparing for technical roles in coding or data analysis. Career Path Software Developer Front-End Developer Data Analyst Junior Programmer Computer Science Student

Course Overview Unlock the transformative power of Neuro-Linguistic Programming (NLP) with this dynamic course designed to equip learners with practical frameworks for personal and professional development. Covering the core principles, models, and techniques of NLP, this training enables individuals to improve communication, enhance self-awareness, and foster behavioural change. Learners will explore how language and thought patterns influence actions, developing strategies to set goals, resolve conflicts, and build better relationships. Whether you are looking to enrich your leadership skills, strengthen your emotional intelligence, or support others through coaching, this course offers valuable tools that can be immediately applied across a variety of settings. By the end of the programme, learners will have a solid foundation in NLP methodologies, with the ability to analyse behaviours, shape outcomes, and inspire transformation in themselves and others. Course Description The NLP Training course offers a comprehensive exploration of the foundational theories and practical applications of Neuro-Linguistic Programming. Learners will delve into key topics such as sensory acuity, representational systems, rapport-building, reframing techniques, and anchoring positive states. Through a structured and engaging learning experience, participants will uncover how internal language patterns affect emotional and behavioural responses, and how these can be influenced for personal advancement or supporting others. Emphasis is placed on building a flexible mindset, enhancing communication skills, and mastering strategies for behavioural change. Suitable for both newcomers and professionals across various fields, the course fosters critical thinking and effective interaction techniques. On completion, learners will have developed a strong command of NLP tools, empowering them to foster positive change, support professional growth, and improve interpersonal dynamics in multiple settings. Course Modules Module 01: Introduction to Neuro-Linguistic Programming Module 02: Understanding Human Communication and Behaviour Module 03: Building Rapport and Enhancing Relationships Module 04: Language Patterns and Persuasion Techniques Module 05: Anchoring and Emotional State Management Module 06: Setting Goals and Achieving Outcomes with NLP (See full curriculum) Who is this course for? Individuals seeking to enhance personal and professional communication. Professionals aiming to improve leadership and coaching skills. Beginners with an interest in behavioural psychology and communication models. Anyone aspiring to build stronger relationships and promote positive change. Career Path Life Coach NLP Practitioner Human Resources Specialist Counselling and Mental Health Support Worker Training and Development Professional Sales and Marketing Executive Leadership and Management Consultant

Duration 3 Days 18 CPD hours This course is intended for This course is designed for project leaders, scrum masters, coaches, product owners, and team members who intend on taking the PMI-ACP© exam. Overview Upon successful completion of this course, you will know: ? Agile principles and practices that will enhance team productivity and improve customer satisfaction ? How to create transparent communication among stakeholders ? How to manage project's scope, schedule and budget in an Agile environment ? How to maximize business value and deliver most value early in the project ? How to build high-performing team ? How to plan at multiple levels and manage stakeholders' expectations ? How to detect, track and resolve risks in an Agile project This course provides participants with a solid foundation of the PMI-ACP© exam. Participants will be introduced to PMI Agile concepts and practices. Introduction to the PMI-ACP© Course and ExamAgile Principles and Mindset Agile project Management Framework: ? What is Agility ? Agile Manifesto ? Agile Principles ? Agile Methodologies: Scrum, Kanban, Extreme programming (XP), Lean ? Agile leadership ? Agile process overview Value-Driven Delivery What is Value-driven delivery, how to deliver value early and minimize waste Assessing Value - Return on Investment (ROI), net present value (NPV), Internal rate of return (IRR), earned value management, managing risk Value Based prioritization ? Customer-Valued prioritization, prioritization schemes (Kano analysis, MoSCoW, relative prioritization / ranking Delivering incrementally ? Minimal Viable Product (MVP), Minimal marketable Feature (MMF), Work In progress (WIP), WIP Limits, Bottlenecks, Cumulative Flow Diagram (CFD) Contracting in Agile projects Verification and validation Stakeholder Engagement Identifying project stakeholders Managing stakeholder engagement Establishing a shared vision ? Agile chartering, Definition of 'Done' (DoD), Agile modelling, wireframes, personas Communication Management ? face to face communication, two-way communication, knowledge sharing, information radiators, social media Working collaboratively ? workshops, brainstorming, collaboration games Interpersonal skills for Agile success ? emotional intelligence, active listening, facilitation, negotiation, conflict resolution, participatory decision making Team Performance Agile team roles High-performing Agile teams ? stages of team development Adaptive leadership Creating collaborative team spaces ? co-located teams, osmotic communication, distributed teams Tracking team performance in Agile teams ? burn charts, velocity Adaptive Planning Defining adaptive planning Principles of Agile planning Tools for sizing and estimating Releases and Iterations planning Problem Detection ?nd Resolution How problems impact a project Detecting problems ? lead time and cycle time, defects, variance analysis, trend analysis, control limits Managing projects threats and issues ? risk-adjusted backlog, risk severity, risk burndown graphs Solving problems Continuous Improvement Multiple levels of improvement ? processes, product, people Implementing continuous process improvement ? process tailoring, systems thinking, process analysis, value stream mapping, project pre-mortems Working towards continuous product improvement ? product feedback loops and learning cycle Leading continuous people improvement ? retrospectives, team self-assessments PMI-ACP© Exam Preparation PMI-ACP© Exam Particulars Overview PMI-ACP© Exam Particulars PMI-ACP© Candidate Requirements PMI-ACP© Candidate Fees PMI-ACP© Exam Application Process

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