537 Software Developer courses in Cardiff delivered Online

Agile techniques and management frameworks are changing the way organisations operate. Evolving to realise that organisations are no longer static and structured entities is the key to unlocking new ways to achieve better results. Agile can be utilised at an organisation, team, and project level. Transforming to an Agile way of working requires knowledge, commitment, and frameworks to lead change. The Applying Professional Scrum training teaches key implementation techniques and Scrum frameworks. Course Description Applying Professional Scrum Training ONLINE Getting results with the Scrum framework Scrum is the most used Agile framework for complex product development and project management. It is a proven system, in use for over 25 years by companies large and small. Scrum training introduces an iterative and incremental approach to product or project development – aiming to reduce complexity and achieve results faster. A Scrum team works simultaneously rather than sequentially, with more flexibility. Scrum teams learn to work better together, delivering more value for project stakeholders. Applying professional scrum training The Applying professional Scrum (APS) course introduces the Scrum framework and demonstrates its power over traditional approaches to project or product development. It is an interactive course that aims to familiarise participants with its iterative and 'Sprint' based methodology. The Scrum framework is commonly used in software development but is relevant in any industry or to any complex project. Course contents and key objectives The course will teach participants how to apply Professional Scrum and the Scrum framework. It is appropriate for anyone, whether or not they have previous exposure to Scrum. Contents of the two-day course include: Understanding more about Agile development and the value that an Agile mindset can bring. Explain how Scrum differs from traditional work models and the advantages this offers. Explain the details of the Scrum methodology and its practical application. Understand how to apply Scrum to projects and teamwork. This includes the concepts of the Scrum team, Sprints, Sprint reviews, and the Daily Scrum. Course attendees will work in Scrum teams to simulate a Scrum project. This will involve a series of 'sprints' to solve complex problems and demonstrate the Scrum approach's power. Such Sprints are key to the Scrum framework. They bring in the iterative way of working, giving teams the chance to review success and quickly adapt to meet business requirements. As part of this practical approach, participants will learn to recognize and understand common missteps and misunderstandings when using Scrum. Expected Outcomes from Applying professional scrum training Applying professional scrum training will teach attendees what Scrum is, the value it can deliver, and how to implement it. The practical and example-based nature of the course will help develop a thorough understanding of the Scrum framework. Experience is the key to implementing it in practice. As such, the course is designed to mimic this and teach the problems to look out for and their solution. Participants will emerge as proficient Scrum practitioners – ready to transform the development of their projects. Who Should Attend This Course? Scrum is beneficial for any company, or individual, with complex projects or products. This course provides an introduction and solid grounding in Scrum, enabling participants to work effectively within the Scrum team and to go on to further training if desired. It is ideal for anyone: Working in or joining a team that uses Scrum. Considering the use of Scrum or investigating its benefits. Working alongside or managing Scrum teams – even if not using the methodology directly. Your Professional Scrum Trainer Meet Jay, founder of Fractal Systems and a dedicated Professional Scrum Trainer. With over 20 years of experience in team and leadership roles, Jay is well-versed in delivering continuous value. His unique teaching approach involves zero PowerPoint and instead relies on engaging, experience-based sessions using techniques from Liberating Structures and Neuro Linguistic Programming. Jay's expertise lies in business transformations, offering training, mentoring, coaching, and consulting to foster success through collaborative efforts. Rapid learning and practical application are the hallmarks of his approach. Jay & the entire Fractal team are invested in your learning journey and are here to support you from start to end, including offering additional valuable support: Free practice assessments for certification success Free resource bundle to master Scrum Free exam revision sheets Free access to an exam simulator Free exam coaching sessions for first-time success Free 1:1 coaching to excel at work Our Clients Our Testimonials

Agile Practices for All Projects: Virtual In-House Training Agile methods are becoming increasingly prevalent, and have facilitated projects in reducing time to market, being adaptive to changing customer requirements, and increasing value to customers and organizations. These benefits have been implemented in both IT and non-IT environments to help all types of projects. This course will present key Agile techniques and processes that can be readily incorporated into your projects to enable greater flexibility and higher productivity, while maintaining the traditional project lifecycle framework. The overall goal of the course is for learners to be able to integrate appropriate Agile elements and/or techniques into any project in any environment. What you will Learn Course participants will understand the basic Agile approach, and the various methods for achieving agility and will be able to: Recall project management principles and methodologies Explain Agile practices and compare several Agile methods Apply Agile software development techniques in a project lifecycle framework Employ Agile processes in a project management framework Foundation Concepts Project Lifecycles What is Agile? Agile Benefits Agile Methods Agile Roles Agile Requirement Techniques Agile Requirements User Stories Just in Time (JIT) Requirements Agile Software Development Techniques Agile Design Agile Development Agile Testing Agile Deployment Agile Initiating & Planning Processes Agile Initiating Agile Planning Agile Delivery Processes Agile Execution Agile Monitoring & Control Agile Closing Implementing Agile Practices Agile Approaches Outside of Software Development Dispelling Agile Myths Applying Agile Techniques & Processes Summary and Next Steps What did we learn, and how can we implement this in our work environments?

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

Use Cases for Business Analysis: Virtual In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - 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 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - 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 6 - 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 Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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 AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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.

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - 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 Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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.