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Learn how to build and launch React web applications using React, Redux, Webpack, React-Router, and more!

The rationale for the Level 5 Diploma in IT - Web Design (Fast Track mode) qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles n the IT industry, notably in .NET programming, system administration and network security. Learners will also learn about entrepreneurship in a techno environment. The Level 5 Diploma in IT - Web Design (Fast Track mode) qualification is flexible in that it offers elective choices of networking, web design or e-commerce - the latter being much in demand in modern business. The technical skills and knowledge delivered through the successful achievement of the qualification are required and recognised internationally. The diploma is accredited at Level 5 and has a total equivalence of 120 credits. Key Highlights of this Level 5 Diploma in IT - Web Design (Fast Track mode) qualification are: Program Duration: Fast Track 6 months (Regular 9 months course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 5 Diploma in IT - Web Design (Fast Track mode) (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 4 OR A Level 5 qualification in another discipline and want to develop their careers in business and entrepreneurship. Career path Learners completing the Level 5 Diploma in IT - Web Design (Fast Track mode) progress to: Final year of Undergraduate study, or Level 6 Diploma in Information Technology, or BSc (Hons) in Business Computing and Information Systems degree, or Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge.

The course is intended to help design and implement industry-standard frameworks using Appium with TestNG Maven, Jenkins, GitHub, Apache Log4J2, and Extent Reports.

Get started with Neural networks and understand the underlying concepts of Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. This hands-on course will help you understand deep learning in detail with no prior coding or programming experience required.

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Each segment of the Data Visualisation Professional - CPD Certified is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Data Visualisation Professional - CPD Certified course. After passing the Data Visualisation Professional - CPD Certified exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Visualisation Professional - CPD Certified course is ideal for: Students seeking mastery in Data Visualisation Professional - CPD Certified Professionals seeking to enhance Data Visualisation Professional - CPD Certified skills Individuals looking for a Data Visualisation Professional - CPD Certified-related career. 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Duration 2 Days 12 CPD hours This course is intended for Sales engineers Account managers Networking engineers Technical and non-technical audiences Overview After taking this course, you should be able to: Understand the role that programmable infrastructure is having on the transition to the digital enterprise Describe Cisco DNA, its components and benefits, and explain a few use cases Describe the different technologies and solutions within the Cisco programmable infrastructure portfolio Describe Cisco DNA Center REST APIs Understand the functionality provided by Cisco WebEx Teams Describe Cisco CMX, services, and related APIs Describe the importance of DevOps culture within network operations in the shift to becoming a digital enterprise The Programming Use Cases for Cisco Digital Network Architecture (DNAPUC) v1.0 course highlights the shift toward the digital enterprise and examines the components, benefits, and use cases of Cisco Digital Network Architecture (Cisco DNA?) in an enterprise environment. You will learning about key platforms including Cisco© DNA Center, Cisco WebEx Teams?, Cisco Connected Mobile Experiences (CMX), and their related APIs. This course also covers open standards, tools, and network APIs that you can use to complement the Cisco DNA software portfolio, including Python, JavaScript Object Notation (JSON), Network Configuration Protocol (NETCONF), Representational State Transfer Configuration Protocol (RESTCONF), and Yet Another Next Generation (YANG). Understanding Programmable Infrastructure Digital Enterprise Four Pillars of Digitization Network Programmability and Automation What Should Be Automated? Quantifying Programmability and Automation for the Business Network Programmability and Automation Use Cases Introducing Cisco DNA Cisco DNA Overview Cisco DNA Components Benefits of Cisco DNA Cisco DNA Use Cases Describing Programmable Infrastructure Cisco Programmability Options Data Center Infrastructure Enterprise Network Programmability Streaming Telemetry Collaboration Management, Monitoring, and Analytics Describing Network APIs How APIs Enable Business Automation API Overview Data Encoding with JSON and XML RESTful APIs RESTCONF and NETCONF Overview Data Modeling with YANG Describing Cisco DNA Center APIs Cisco DNA Center Overview Cisco DNA Center Automation Enterprise Benefits Cisco DNA Center Applications and Use Cases Cisco DNA Center REST API Overview Case Study: Network Automation at Symantec Describing Cisco Collaboration APIs Cisco Webex Teams Overview Cisco Webex Teams Business Benefits Cisco Webex Teams API Overview Describing Cisco Mobility APIs Cisco CMX Overview Cisco CMX Programmability Business Benefits Cisco CMX Mobility Services API Overview Case Study: Victoria University and Cisco CMX Implementing DevOps Culture Within Network Operations Transition to DevOps CALMS Model (Culture, Automation, Lean, Measurement, Sharing) Role of Cisco Technology in the Transition to DevOps Additional course details: Nexus Humans Cisco Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) 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 Programming Use Cases for Cisco Digital Network Architecture v1.0 (DNAPUC) 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 2 Days 12 CPD hours This course is intended for This course is designed for people who know how to create basic list and group reports and need to create reports that include subreports, cross-tabs, advanced formulas, and charts based on more than one data series. They may also need to build tools that make it easier for other people to create reports. They may or may not have programming and/or SQL experience. Overview In this course, you will create complex reports using tools in Crystal Reports 2016. You will: Create automatic and manual running totals. Work with cross-tab reports. Add subreports. Create drill-downs in a report. Use SQL statements in report processing. Create complex formulas. Add charts to reports. Enhance report functionality. In this course, students will create complex reports & data sources using the tools in Crystal Reports 2016. Students will not only create more complex reports including sub-reports and cross-tabs, but will also increase their speed and efficiency. 1 - CREATING RUNNING TOTALS Topic A: Create a Running Total Field Topic B: Modify a Running Total Field Topic C: Create a Manual Running Total 2 - WORKING WITH CROSS-TABS Topic A: Create a Cross-Tab Report Topic B: Format a Cross-Tab Report Topic C: Create Groups in Cross-Tab Reports 3 - ADDING SUBREPORTS Topic A: Insert a Subreport Topic B: Edit a Subreport Topic C: Share Variables 4 - CREATING DRILL-DOWNS IN A REPORT Topic A: Create a Drill-Down Topic B: Create Headings for Drill-Down Data 5 - USING SQL STATEMENTS IN REPORT PROCESSING Topic A: Create a Report Using SQL Queries Topic B: Summarize Report Data Topic C: Create Joins Using SQL Topic D: Create Subqueries Topic E: Create an SQL Expression Field 6 - CREATING COMPLEX FORMULAS Topic A: Work with Loops Topic B: Work with Arrays 7 - ADDING CHARTS TO REPORTS Topic A: Create Charts Topic B: Create a Chart with Drill-Down Topic C: Create a Top N Chart Topic D: Create a Cross-Tab Chart Topic E: Create Charts for Grouped Data Topic F: Format a Chart Topic G: Create a Chart Template 8 - ENHANCING REPORT FUNCTIONALITY Topic A: Organize Data Based on a Hierarchy Topic B: Create a Dynamic Image Topic C: Create a Report Alert Topic D: Create a Geographic Map 9 - APPENDIX Appendix A: Managing Reports Appendix B: Processing Data on the Server Appendix C: Detecting and Fixing Problems

Duration 3 Days 18 CPD hours This course is intended for This introduction to Spring development course requires that incoming students possess solid Java programming skills and practical hands-on Java experience. This class is geared for experienced Java developers who are new to Spring, who wish to understand how and when to use Spring in Java and JEE applications. Overview Working in a hands-on learning environment, students will review configuration basics of the Spring framework. The course then moves into Spring Boot, providing in-depth content and experience working with Spring Boot to accomplish a variety of tasks. In addition to working through the Spring Actuator, students work extensively at testing and debugging Spring Boot applications. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' application development and Spring experience into every classroom. Working in a hands-on learning environment, led by our expert practitioner, students will: Review the concept of Java-based configuration Become familiar with the conditionally loading bean definitions and Application Contexts Understand how to leverage the power of Spring Boot Use Spring Boot to create and work with JPA repositories Use Spring Boot to work in conjunction with Spring Cloud Understand the Spring Cloud project and how it relates to general Cloud concepts and practices Work with Spring Cloud configuration and the Config Client The Spring framework is an application framework that provides a lightweight container that supports the creation of simple-to-complex components in a non-invasive fashion. Spring's flexibility and transparency is congruent and supportive of incremental development and testing. The framework's structure supports the layering of functionality such as persistence, transactions, view-oriented frameworks, and enterprise systems and capabilities. Introduction to Spring Boot and Spring Cloud is a hands-on Spring training course geared for experienced Java developers who need to understand what the Spring Boot is in terms of today's systems and architectures, and how to use Spring in conjunction with other technologies and frameworks. This course targets Spring Boot 2, which includes full support for Java 8 and JEE 7 (earlier versions of Java and JEE continue to be supported). Spring supports the use of lambda expressions and method references in many of its APIs. Spring makes enterprise development easier. Spring simplifies common tasks and encourages good design based on programming to interfaces. Spring makes your application easier to configure and reduces the need for many JEE design patterns. Spring puts the OO design back into your enterprise application, and it integrates nicely with many view technologies and the new features of HTML5. Introduction to Spring The Spring Framework Configuring Spring Managed Beans Defining Bean dependencies Spring Cloud Spring Boot Additional Configuration Spring Cloud Project Introduction to Spring Boot Working with Spring Boot Spring AOP Introduction to Aspect Oriented Programming Spring Cloud Config Spring Cloud Registry and Discovery Spring AOP Spring Boot 2 Spring Boot Actuator Developing in Spring Boot Thymeleaf Spring Cloud GateWay Additional course details: Nexus Humans Introduction to Spring Boot and Spring Cloud (TT3324) 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 Introduction to Spring Boot and Spring Cloud (TT3324) 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.

In today's data-driven world, 82% of businesses demand Data Science professionals - and they're willing to pay for it! With average global salaries of Data Scientists and Machine Learning experts surpassing $120,000 annually, it's clear: the future belongs to those who understand data. Our Advanced Diploma in Data Science & Machine Learning - Level 7 is meticulously designed to offer profound knowledge and skills . This Data Science & Machine Learning bundle encompasses a comprehensive selection, from the nuances of Statistics & Probability to the intriguing applications of Machine Learning in Flutter. Also, this comprehensive Data Science & Machine Learning bundle ensures you're well-equipped with the essential knowledge required in today's competitive global market. By opting for this Data Science & Machine Learning advanced diploma, you're not just learning - you're investing in a future filled with opportunities, lucrative incomes, and immense professional demand globally. Data Science & Machine Learning Course Learning Outcomes Grasp the fundamentals of Statistics & Probability. Acquire proficiency in Python for Data Science. Understand R programming in data analytics context. Dive deep into MySQL and its applications in Data Science. Master SQL techniques for Data Visualization and Analytics. Lay a strong foundation in basic machine learning concepts. Navigate through Azure Machine Learning and its utilities. This Data Science & Machine Learning bundle course, however, is designed to be your compass, guiding you through the intricacies of the most pivotal topics. With the Advanced Diploma, you delve deep into the mathematical bedrock of data science through Statistics & Probability. Python and R, the stalwarts of data programming, are unravelled, offering insights into their unique capabilities. SQL's unmatched prowess in data visualisation and analytics is highlighted, while Azure provides a window into the world of cloud-based machine learning. Lastly, understand the synergy of machine learning and mobile applications through Flutter. The benefits? A holistic understanding, positioning you ahead in the academic sphere and offering a competitive edge should you venture into research or further studies. Courses in this Data Science & Machine Learning bundle: Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Data Science & Machine Learning with Python R Programming for Data Science Learn MySQL from Scratch for Data Science and Analytics SQL for Data Science, Data Analytics and Data Visualization Machine Learning Basics "Azure Machine Learning" Machine Learning use in Flutter, The Complete Guide Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the Data Science & Machine Learning course as proof of their achievement. You can order the endorsed certificate for only £129 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this Data Science & Machine Learning course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the Data Science & Machine Learning course has been reviewed and approved by the QLS and meets the highest quality standards. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Science & Machine Learning bundle is ideal for: Aspiring Data Scientists. Statisticians looking to expand into Machine Learning. Developers keen on integrating Machine Learning in apps. Research scholars in data-driven fields. Requirements To enrol in this Data Science & Machine Learning course, all you need is a basic understanding of the English Language and an internet connection. Career path Data Scientist Machine Learning Engineer Data Analyst SQL Database Administrator Research Scientist (Data Specialization) Flutter Developer with ML Integration Certificates 8 CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: £3.99 Outside the UK: £9.99 QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Delivery Charge: Inside the UK: Free Outside the UK: £9.99 Other CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 Free Courses Hard Copy Certificates Are £9.99 Each. Delivery Charge: Inside the UK: Free Outside the UK: £9.99