2264 Software Development courses in Leicester delivered On Demand

Overview This comprehensive course on ITIL Practitioner will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This ITIL Practitioner comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this ITIL Practitioner. It is available to all students, of all academic backgrounds. Requirements Our ITIL Practitioner is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 52 lectures • 07:37:00 total length •Course Introduction!: 00:14:00 •Learning Objectives: 00:06:00 •Selecting a Management System: 00:11:00 •Systems Thinking: 00:13:00 •The 4Ps: 00:14:00 •Communication & Management Systems: 00:14:00 •Organizational Capabilities: 00:10:00 •Adopt, Adapt & Realize: 00:15:00 •Outside-in vs Inside-out Thinking: 00:11:00 •Defining a Service: 00:05:00 •Metrics & Measurement: 00:07:00 •Improvement, the Practitioner & CSI: 00:10:00 •Driving IT Service Management Summary: 00:15:00 •Checkpoint: 00:16:00 •Learning Objectives: 00:04:00 •Principles: 00:24:00 •Themes: 00:09:00 •Principles & Themes in Practice: 00:08:00 •Principles & Themes Summary: 00:03:00 •Checkpoint: 00:07:00 •Learning Objectives: 00:02:00 •Role & Impact of OCM on Improvement: 00:07:00 •OCM Activities: 00:16:00 •OCM & Systems Thinking: 00:06:00 •OCM Summary: 00:05:00 •Checkpoint: 00:10:00 •Learning Objectives: 00:01:00 •Value, Importance & Benefit of Good Communication: 00:05:00 •Principles of Communication: 00:11:00 •Role of Influence: 00:07:00 •Communication Summary: 00:05:00 •Checkpoint: 00:09:00 •Learning Objectives: 00:02:00 •CSFs, KPIs & Improvement: 00:18:00 •Analyze CSFs & KPIs in Context: 00:09:00 •Assessments: 00:04:00 •Use Metrics & Measurement Summary: 00:05:00 •Design a Report: 00:07:00 •Checkpoint: 00:08:00 •Learning Objectives: 00:02:00 •It Depends: 00:09:00 •Approach Deconstructed: 00:25:00 •Goal Question Metric (GQM) Approach Introduction: 00:08:00 •CSI Approach Summary: 00:05:00 •Checkpoint: 00:07:00 •Learning Objectives: 00:01:00 •CSI Approach for the ITIL Practitioner: 00:07:00 •CSI Approach in ITIL: 00:25:00 •CSI Approach, PRINCE2 & RESILIA: 00:06:00 •Integrating CSI with ITIL & Beyond Summary: 00:03:00 •Checkpoint: 00:06:00 •Workbooks - ITIL Practitioner - Video Training Course: 00:00:00

Python for Data Science and Machine Learning Bootcamp online course is suitable for anyone interested in learning Python for data science and machine learning. It is especially ideal for aspiring data scientists and professionals seeking to enhance their data analysis skills.

This course is designed for beginner-level students to create their first voice assistant in Python. If you have the questions: How to create a chatbot in Python? How to build a virtual assistant with Python? Then you are on the right course. This is a great small project to get you started (even if you have little or no prior knowledge in python) and a learning opportunity.

Are you one of those developers who have heard the buzzword about microservices, but you don't know where to start from? Or are you wondering if a microservices architecture is a right fit for your .NET project? Then this course is for you. Learn all about microservices architecture using .NET Core MVC and protect your project or team from the drawbacks of a monolithic application.

In this course, you will learn how to author machine learning models in Python without the aid of frameworks or libraries from scratch. Discover the process of loading data, evaluating models, and implementing machine learning algorithms.

Build amazing Progressive Web Apps (PWAs) with Angular! This course will teach you the essential skills you need to create PWAs that are fast, reliable, and engaging.

Master NGINX, a powerful web server and load balancer, to build and manage high-performance, scalable, and secure web applications.

Gain the skills and credentials to kickstart a successful career in the technology industry and learn from the

Dive into the transformative world of Artificial Intelligence through the course titled 'Foundations of Artificial Intelligence: Building Intelligent Systems.' This comprehensive curriculum sweeps across an array of subjects, from the rudimentary introduction to AI to the intricate nuances of building AI applications. Embrace a holistic understanding of core modules like Machine Learning, Natural Language Processing, and Robotics. The content, framed meticulously, beckons those inquisitive minds eager to craft, innovate, and change the world with AI's limitless possibilities. Deepen your conceptual clarity with two-part modules that delve into Knowledge Representation and Machine Learning, ensuring that learners grasp intricate details without feeling overwhelmed. With sections dedicated to Computer Vision and Deep Learning, individuals will find themselves proficiently navigating the vibrant ecosystems these technologies encompass. Finally, a spotlight on AI applications ensures that learners not only acquire theoretical wisdom but also grasp how AI integrates into real-world scenarios. By the culmination of this course, participants will stand at the forefront of AI innovations, armed with the acumen to shape a future where intelligent systems intertwine seamlessly with our daily lives. This foundation lays the groundwork for boundless exploration in the Artificial Intelligence realm Learning Outcomes Upon completion of this course, participants will be able to: Gain comprehensive insights into the fundamental principles of Artificial Intelligence. Understand the critical mathematical concepts underpinning AI technologies. Develop proficiency in various AI knowledge representation methods. Acquire a solid foundation in Machine Learning, Deep Learning, and Natural Language Processing techniques. Familiarise with the applications and integrations of AI in Robotics and Computer Vision. Why buy this Foundations of Artificial Intelligence: Building Intelligent Systems? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Foundations of Artificial Intelligence: Building Intelligent Systems there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Foundations of Artificial Intelligence: Building Intelligent Systems course for? This Foundations of Artificial Intelligence: Building Intelligent Systems does not require you to have any prior qualifications or experience. You can just enrol and start learning. Aspiring AI enthusiasts keen on building a robust foundation in the subject. Technologists aiming to pivot into AI-centric roles. Researchers eager to enhance their knowledge spectrum in intelligent systems. University students studying computer science or related disciplines, looking to supplement their academic pursuits. Entrepreneurs eyeing opportunities in AI-driven ventures. Prerequisites This Foundations of Artificial Intelligence: Building Intelligent Systems does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Foundations of Artificial Intelligence: Building Intelligent Systems was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path AI Research Scientist - Average Salary Range: £60,000 - £85,000 per annum Machine Learning Engineer - Average Salary Range: £55,000 - £80,000 per annum NLP Specialist - Average Salary Range: £50,000 - £75,000 per annum Computer Vision Engineer - Average Salary Range: £52,000 - £77,000 per annum Robotics Engineer - Average Salary Range: £48,000 - £73,000 per annum AI Application Developer - Average Salary Range: £54,000 - £79,000 per annum Course Curriculum Module 01: Introduction to Artificial Intelligence Introduction to Artificial Intelligence 00:21:00 Module 02: Mathematics for AI Mathematics for AI 00:17:00 Module 03: Knowledge Representation in AI - Part 1 Knowledge Representation in AI - Part 1 00:18:00 Module 04: Knowledge Representation in AI - Part 2 Knowledge Representation in AI - Part 2 00:16:00 Module 05: Machine Learning - Part 1 Machine Learning - Part 1 00:16:00 Module 06: Machine Learning - Part 2 Machine Learning - Part 2 00:15:00 Module 07: Deep Learning Deep Learning 00:16:00 Module 08: Natural Language Processing Natural Language Processing 00:22:00 Module 09: Computer Vision Computer Vision 00:14:00 Module 10: Robotics Robotics 00:18:00 Module 11: Building AI Applications Building AI Applications 00:24:00

Learn Bootstrap with CSS and jQuery and explore CSS Flexbox.