726 Computing & Software Development Tools courses in Ewell delivered Online

Certified Business Analysis Professional™ (CBAP®) Boot Camp: Virtual In-House Training The course provides targeted exam preparation support for IIBA® Level 3 - CBAP® exam candidates, including both a BABOK® Guide Version 3.0 content review and exam preparation tutorial. The class is interactive, combining discussion, application of concepts, study tips, and a practice exam. Knowledge Check quizzes and self-assessments allow candidates to identify areas of weakness and create a custom study plan tailored to their individual needs as well as study aids to support their exam preparation after the course. The course materials include a copy of A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide) Version 3.0. What you will Learn Upon completion, participants will be able to: Demonstrate familiarity with the structure and content of the IIBA® BABOK® Guide Improve their probability of passing the Level 3 - CBAP® Exam Identify their knowledge gaps through the use of module Knowledge Check quizzes Gauge their readiness for taking the exam by IIBA® BABOK® Guide Knowledge Are Foundation Concepts for IIBA® CBAP® Prep IIBA® - the Organization Business Analysis - the Profession Knowledge Check Terminology and Key Concepts IIBA®'s BABOK® Guide - the Standard Underlying Competencies BA Techniques Business Analysis Planning and Monitoring Knowledge Check Overview BAP&M Tasks BAP&M Techniques Elicitation and Collaboration Knowledge Check Overview E&C Tasks E&C Techniques Requirements Life Cycle Management Knowledge Check Overview RLCM Tasks RLCM Techniques Strategy Analysis Knowledge Check Overview SA Tasks SA Techniques Requirements Analysis and Design Definition Knowledge Check Overview RA&DD Tasks RA&DD Techniques Solution Evaluation Knowledge Check Overview SE Tasks SE Techniques Exam Preparation Practice Exam and debrief Exam Preparation Study Tips Manage Study Plan Exam Process Exam day

GitHub is one of the most important code hosting platforms. This hands-on course will help you to understand the concepts with real-world scenarios and use cases. This course will help you become a better developer. No prior coding experience is needed to take up this course, just dedication and commitment to learning.

Learn GitHub Actions in a weekend! This course covers all the important concepts to help you master GitHub Actions and its practical applications. Gain in-demand skills, design a CI/CD pipeline, and deploy infra as code with GitHub Actions. Boost your career with this essential skill for DevOps practices.

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.

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Designed for beginners, this hands-on course covers the fundamentals of Kubernetes, Docker, and containers. You'll get an insight into installing and running Docker on different platforms and Kubernetes architecture, along with an overview of Google Kubernetes Engine (GKE).

This course takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with Git and GitHub. With the help of exercises and activities, you will be able to grasp all the concepts of Git and GitHub with ease.

A hands-on course to learn about different tools and scenarios to ingest data into Data Lake. This course includes end-to-end demonstrations to ingest, process, and export data using Databricks and HDInsight, which will help you have a good understanding of Azure Data Lake Services.

Learn to design a resilient and scalable cloud solution using traffic load balancers, availability sets, and scale sets

This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud services of Microsoft Azure by clearing the AZ-900 Microsoft Azure fundamentals exam. The course is recommended for job seekers looking for a career in the cloud domain.