35 Software Engineer courses in Sheffield delivered Live Online

SAFe® Agile Software Engineering: In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

SAFe® Agile Software Engineering: Virtual In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

Duration 1 Days 6 CPD hours This course is intended for This basic course is for: Business Analyst Systems Engineer Software Engineer Requirements Engineer Requirements Manager Requirements Team Leader Overview Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data This course builds on the content learned in the IBM Engineering Requirements Management DOORS V9.6 Foundation course. It is designed for those who will be in the role of team lead or project manager, or who want to learn more about advanced DOORS end-user functionality. It discusses creating and structuring DOORS projects, defining linking relationships and attributes, setting access permissions, and managing change. It also discusses external linking, working with spreadsheets, and applying configuration management strategies to DOORS data. Course Outline Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data

JavaScript Project – Game Development with JS Course Overview: In the "JavaScript Project – Game Development with JS" course, learners will gain a solid foundation in developing games using JavaScript. The course offers a comprehensive look at the game development process, covering key concepts like game mechanics, logic implementation, and interactive design. By the end of the course, learners will be equipped to build functional browser-based games from scratch. This course provides valuable skills for those wishing to enter the game development industry, helping learners not only understand JavaScript in-depth but also apply their knowledge to real-world projects. Course Description: This course delves deep into the world of game development using JavaScript. Learners will explore essential concepts such as creating game loops, handling user input, collision detection, and integrating audio and visuals. By following a structured curriculum, students will work on practical projects, gaining an understanding of how to plan, design, and implement game logic. The course focuses on providing the learners with skills that can be directly applied to creating interactive web-based games, while also enhancing their problem-solving abilities. Upon completion, learners will be prepared to develop simple yet engaging games for both personal and professional use. JavaScript Project – Game Development with JS Curriculum: Module 01: Introduction Module 02: Beware of the Jolly Roger (See full curriculum) Who is this course for? Individuals seeking to develop strong JavaScript programming skills. Professionals aiming to enhance their game development expertise. Beginners with an interest in web development or game creation. Enthusiasts wishing to turn their passion for games into a technical skill. Career Path Web Developer Game Developer Front-End Developer Software Engineer Interactive Media Specialist

Course Overview "JavaScript for Everyone" offers a comprehensive introduction to one of the most essential programming languages used in web development. This course covers the fundamental concepts of JavaScript, allowing learners to build dynamic, interactive websites. Students will gain a solid understanding of core JavaScript principles such as variables, loops, functions, and objects, as well as more advanced topics like cookies, page redirection, and error handling. By the end of the course, learners will be equipped with the skills to implement JavaScript in real-world projects, enhancing the interactivity and functionality of websites. Course Description This course provides an in-depth exploration of JavaScript, focusing on both basic and advanced topics. It begins with an introduction to key programming concepts before diving into areas such as conditional statements, functions, and events. Learners will discover how to work with JavaScript objects, arrays, and built-in objects like Number, Boolean, and String. Additionally, the course covers important aspects like page redirection, pop-up boxes, and validation techniques. By the end, students will be proficient in JavaScript debugging, error handling, and using regular expressions, with a clear understanding of how to apply JavaScript in web development projects. Course Modules Module 01: Introduction Module 02: Basic Concepts on JavaScript Module 03: Conditional and Switch Statements Module 04: JS Functions Module 05: JS Events Module 06: JS Cookies Module 07: JS Page Redirection Module 08: JS Popup Boxes Module 09: JS Void Module 10: JS Print Module 11: JS Objects Module 12: JS Number Object Module 13: JS Boolean Object Module 14: JS String Object Module 15: JS Arrays Module 16: JS Dates Module 17: JS Math and Reg Exp Module 18: JS Browsers and Summary Module 19: JS Debugging Module 20: JS Errors Module 21: JS Validations (See full curriculum) Who is this course for? Individuals seeking to develop web development skills. Professionals aiming to enhance their programming knowledge. Beginners with an interest in web development or JavaScript. Anyone looking to gain a foundational understanding of programming languages. Career Path Web Developer Front-End Developer JavaScript Developer Software Engineer Full-Stack Developer Web Application Developer

Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

Duration 2 Days 12 CPD hours This course is intended for The target audience for the DevSecOps Foundation course are professionals including: Anyone involved or interested in learning about DevSecOps strategies and automation Anyone involved in Continuous Delivery toolchain architectures Compliance Team Business managers Delivery Staff DevOps Engineers IT Managers IT Security Professionals, Practitioners, and Managers Maintenance and support staff Managed Service Providers Project & Product Managers Quality Assurance Teams Release Managers Scrum Masters Site Reliability Engineers Software Engineers Testers Overview You will learn: The purpose, benefits, concepts, and vocabulary of DevSecOps How DevOps security practices differ from other security approaches Business-driven security strategies and Best Practices Understanding and applying data and security sciences Integrating corporate stakeholders into DevSecOps Practices Enhancing communication between Dev, Sec, and Ops teams How DevSecOps roles fit with a DevOps culture and organization In this course, students will gain a solid understanding of how DevSecOps provides business value, enhancing your business opportunities, and improving corporate value. The core DevSecOps principles taught can support an organizational transformation, increase productivity, reduce risk, and optimize resource usage. This course explains how DevOps security practices differ from other approaches then delivers the education needed to apply changes to your organization. Participants learn the purpose, benefits, concepts, vocabulary and applications of DevSecOps. Most importantly, students learn how DevSecOps roles fit with a DevOps culture and organization. At the course?s end, participants will understand ?security as code? to make security and compliance value consumable as a service. This course prepares you for the DevSecOps Foundation (DSOF) certification. Realizing DevSecOps Outcomes Origins of DevOps Evolution of DevSecOps CALMS The Three Ways Defining the Cyberthreat Landscape What is the Cyber Threat Landscape? What is the threat? What do we protect from? What do we protect, and why? How do I talk to security? Building a Responsive DevSecOps Model Demonstrate Model Technical, business and human outcomes What?s being measured? Gating and thresholding Integrating DevSecOps Stakeholders The DevSecOps State of Mind The DevSecOps Stakeholders What?s at stake for who? Participating in the DevSecOps model Establishing DevSecOps Best Practices Start where you are Integrating people, process and technology and governance DevSecOps operating model Communication practices and boundaries Focusing on outcomes Best Practices to get Started The Three Ways Identifying target states Value stream-centric thinking DevOps Pipelines and Continuous Compliance The goal of a DevOps pipeline Why continuous compliance is important Archetypes and reference architectures Coordinating DevOps Pipeline construction DevSecOps tool categories, types and examples Learning Using Outcomes Security Training Options Training as Policy Experiential Learning Cross-Skilling The DevSecOps Collective Body of Knowledge Preparing for the DevSecOps Foundation certification exam Additional course details: Nexus Humans DevSecOps Foundation (DevOps Institute) 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 DevSecOps Foundation (DevOps Institute) 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.

Do you want to learn to code? Are you already on your way, but need a boost? Is the motivation a challenge and you want some external accountability? Do you want deeper technical discussions than you can find elsewhere? Or just want a frank chat about whether you have what it takes to succeed? Come study with me.

Duration 5 Days 30 CPD hours This course is intended for Software Engineers Senior Software Engineers Java Developers DevOps Engineers Software Developers .NET Developers Systems Engineers Full Stack Developers Full Stack Java Developers Data Scientists Overview By the end of the course, you should be able to meet the following objectives: Describe the software-defined data center (SDDC) Explain the vSphere components and their function in the infrastructure Install and configure VMware ESXi™ hosts Deploy and configure VMware vCenter Server Appliance™ Use VMware vSphere Client™ to manage the vCenter Server inventory and the vCenter Server configuration Manage, monitor, back up, and protect vCenter Server Appliance Create virtual networks with vSphere standard switches Describe the storage technologies supported by vSphere Configure virtual storage using iSCSI and NFS storage Create and manage VMware vSphere VMFS datastores Use the vSphere Client to create virtual machines, templates, clones, and snapshots Create a content library and deploy virtual machines from templates in the library Manage virtual machine resource use Migrate virtual machines with VMware vSphere vMotion and VMware vSphere Storage vMotion Create and manage a vSphere cluster that is enabled with VMware vSphere High Availability and VMware vSphere Distributed Resource Scheduler™ Discuss solutions for managing the vSphere life cycle Use VMware vSphere Update Manager™ to apply patches and perform upgrades to ESXi hosts and virtual machines This five-day course features intensive hands-on training that focuses on installing, configuring, and managing VMware vSphere© 7, which includes VMware ESXi? 7 and VMware vCenter Server© 7. This course prepares you to administer a vSphere infrastructure for an organization of any size. This course is the foundation for most of the other VMware technologies in the software-defined data center Course Introduction Introductions and course logistics Course objectives Introduction to vSphere and the Software-Defined Data Center Explain basic virtualization concept Describe how vSphere fits into the software-defined data center and the cloud infrastructure Explain how vSphere interacts with CPUs, memory, networks, and storage Recognize the user interfaces for accessing the vCenter Server system and ESXi hosts Use VMware Host Client? to access and manage ESXi host Virtual Machines Create and remove a virtual machine Provision a virtual machine with virtual devices Identify the files that make up a virtual machine Explain the importance of VMware Tools vCenter Server Describe the vCenter Server architecture Discuss how ESXi hosts communicate with vCenter Server Deploy and configure vCenter Server Appliance Use the vSphere Client to manage the vCenter Server inventory Add data center, organizational objects, and hosts to vCenter Server Use roles and permissions to enable users to access objects in the vCenter Server inventory Back up vCenter Server Appliance Monitor vCenter Server tasks, events, and appliance health Use vCenter Server High Availability to protect a vCenter Server Appliance Configuring and Managing Virtual Networks Create and manage standard switches Describe the virtual switch connection types Configure virtual switch security, traffic-shaping and load-balancing policies Compare vSphere distributed switches and standard switches Configuring and Managing Virtual Storage Identify storage protocols and storage device types Discuss ESXi hosts using iSCSI, NFS, and Fibre Channel storage Create and manage VMFS and NFS datastores Explain how multipathing works with iSCSI, NFS, and Fibre Channel storage Deploy virtual machines on a VMware vSAN? datastore Virtual Machine Management Use templates and cloning to deploy new virtual machines Modify and manage virtual machines Create a content library and deploy virtual machines from templates in the library Dynamically increase the size of a virtual disk Use customization specification files to customize a new virtual machine Perform vSphere vMotion and vSphere Storage vMotion migrations Create and manage virtual machine snapshots Examine the features and functions of VMware vSphere© Replication? Resource Management and Monitoring Discuss CPU and memory concepts in a virtualized environment Describe what overcommitment of a resource means Describe methods for optimizing CPU and memory usage Use various tools to monitor resource use Create and use alarms to report certain conditions or events vSphere Clusters Describe options for making a vSphere environment highly available Explain the vSphere HA architecture Configure and manage a vSphere HA cluster Examine the features and functions of VMware vSphere© Fault Tolerance Configure a vSphere cluster using ESXi Cluster Quickstart Describe the functions of a vSphere DRS cluster Create a vSphere DRS cluster vSphere Lifecycle Management Describe how VMware vSphere© Lifecycle Manager? works Use vSphere Lifecycle Manager to update ESXi hosts in a cluster Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSphere: Install, Configure, Manage [v7.0] 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 VMware vSphere: Install, Configure, Manage [v7.0] 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.