1181 Scientist courses delivered On Demand

Ever wondered how machines recognise faces, detect traffic signs, or even tag photos with uncanny accuracy? This course dives straight into the heart of Convolutional Neural Networks (CNNs) – the very engine behind image recognition and deep learning breakthroughs. With a clear focus on project-based learning, you’ll explore how CNNs work, how they’re built, and how they’re trained to see and interpret the world digitally. The content flows logically and stays rooted in clarity, making even the most complex architectures feel almost polite. This is not just a sequence of slides and jargon. It’s a well-structured digital journey tailored for learners who want to confidently grasp how deep learning models behave and evolve. Whether you're brushing up on your neural network knowledge or aiming to reinforce your AI expertise, the course serves up algorithms, code walkthroughs and layered insights with a tone that’s informative, direct, and occasionally dry-witted. If you fancy turning raw data into pixel-level predictions using nothing but code, logic, and neural layers — you’re exactly where you need to be. Learning Outcomes: Gain a solid understanding of convolutional neural networks and their applications in deep learning. Learn how to install the necessary packages and set up a dataset structure for deep learning projects. Discover how to create your own convolutional neural network model and layers using Python. Understand how to preprocess and augment data for advanced image recognition tasks. Learn how to evaluate the accuracy of your models and understand the different models available for deep learning projects. The Deep Learning Projects - Convolutional Neural Network course is designed to provide you with the skills and knowledge you need to build your own advanced deep learning projects. Using Python, you'll learn how to install the necessary packages, set up a dataset structure, and create your own convolutional neural network model and layers. You'll also learn how to preprocess and augment data to enhance the accuracy of your models and evaluate the performance of your models using data generators. Deep Learning Projects - Convolutional Neural Network Course Curriculum Section 01: Introduction Section 02: Installations Section 03: Getting Started Section 04: Accuracy How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and convolutional neural networks. Programmers who want to learn how to build advanced models for image recognition. Entrepreneurs who want to develop their own deep learning-based applications for image recognition. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of convolutional neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Computer Vision Engineer: £30,000 - £70,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Neurology: Neuroplasticity Practice Diploma Unlock the power of your brain with our Neurology: Neuroplasticity Practice Diploma. Explore cutting-edge techniques and exercises in Neurology to reshape your mind. Turn the latest Neurology research into actionable changes in your life. Learning Outcomes: Identify core principles of Neuroplasticity within Neurology. Apply physical Neuroplasticity techniques in Neurology practice. Integrate spiritual aspects of Neuroplasticity into Neurology. Implement Neuroplasticity exercises for anxiety and depression, guided by Neurology. Design Neuroplasticity exercises suitable for children, rooted in Neurology. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Neurology: Neuroplasticity Practice Diploma: Neurology: Intro to Neuroplasticity: Understand the foundational principles of Neuroplasticity within the domain of Neurology. Physical Neuroplasticity in Neurology: Master physical Neuroplasticity techniques and their applications in Neurology. Spiritual Neuroplasticity in Neurology: Learn how to incorporate spiritual Neuroplasticity in your Neurology practice. Neuroplasticity Exercises for Anxiety and Depression: Deploy specific Neuroplasticity exercises to alleviate anxiety and depression, following Neurology best practices. Neurology: Breaking Bad Habits: Explore the role of Neuroplasticity in habit formation and eradication in Neurology. Neuroplasticity Exercises for Kids: Craft age-appropriate Neuroplasticity exercises for children based on advanced Neurology research.

Investing in your education is one of the best investments you can make. That's why we've designed this comprehensive course to help you enhance your knowledge and skills in this area. Our industry experts have carefully crafted this course to cover all the fundamentals and more. This course is designed to be accessible to beginners and experienced professionals alike, with small modules that are easy to understand. Plus, you'll have access to tutor support via live chat or email if you have any questions along the way. Upon completion of this course, you'll have the knowledge and confidence to stand out to employers in the Microbiology Laboratory Technician industry and related fields. You'll be well-equipped to advance your career and increase your earning potential. Don't miss this opportunity to invest in your future. Enrol in the course today and start your learning journey towards success. To learn more about the specific modules covered in the course, please see the detailed breakdown in the description section below. Key Learning Points of Microbiology Laboratory Technician Course: Explore a diverse range of aspects of this field after the successful completion of the course Get inside-out knowledge on Microbiology Laboratory Technician topics from the industry experts Acquire skills that will help you to explore many opportunities Why iBeauty is Your Best Choice Key Features of Microbiology Laboratory Technician On The Go: Immersive course materials (i.e. videos, presentations and explanatory figures.) of the course Comprehensive course design for the course On-demand learning support Freedom to study at your own pace Availability of certificate upon successful completion of the course CPD accreditation Certificate Content of the courses developed by Industry Experts 24x7 Tutor Support Our Microbiology Laboratory Technician is designed to give our learners the best possible learning experience. Therefore, we've broken up our course into bite-sized modules. ⊱⊱ Microbiology Laboratory Technician Course Curriculum The detailed curriculum of the course is given below: Module 01: Introduction to Microbiology Module 02: Cell Structure and Organisation Module 03: Microbial Diversity Prokaryote Diversity Module 04: Microbial Diversity Eukaryote Diversity Module 05: Viruses, Viroids, and Prions Module 06: Interactions between Microbes and Humans Module 07: Human Microbial Diseases Module 08: Microorganisms in the Environment Module 09: Laboratory Equipments (Part-01) Module 10: Laboratory Equipments (Part-02) Module 11: Solutions Used in Clinical/Medical Laboratory Module 12: Sterilisation, Disinfection and Decontamination Module 13: Laboratory Accidents and Safety CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone with interest in Microbiology Laboratory Technician will find this course valuable. Whether you are a student or an aspiring professional aiming to explore your opportunities in Microbiology Laboratory Technician sectors, then this course might just be the perfect opportunity for you. Requirements There is no prior requirement or experience needed to enrol in our course. You only need the willingness to learn Microbiology Laboratory Technician topics. You can access the course materials at any time with any internet-enabled device and keep developing. Career path Complete your Microbiology Laboratory Technician course successfully and develop yourself to enhance your chances of succeeding in the Microbiology Laboratory Technician sectors and other relevant fields.

Elevate your healthcare career with this comprehensive Healthcare Assistant course. From mastering patient care and infection control to understanding the NHS record management system, this course prepares you for a rewarding role in various healthcare settings.

During this on-demand session tutor Dr Nikki Osborne discusses: * what is welfare, the five freedoms & 'a life worth living' * why animal welfare is important - scientifically & ethically * how our understanding of a good life for laboratory animals is changing, * the laboratory animal's lifetime experience, * what refinement requires in practice & factors to consider, * sources of laboratory animals, plus husbandry & care, * the importance of good animal handling & knowing what is 'normal', * experimental procedures & assessing welfare, * humane endpoints & methods of killing * the refinement loop & marginal gains. * freely available tools and resources to support individuals to develop their knowledge, understanding and skills further.

During this on-demand session tutor Dr Nikki Osborne discusses: * the 3V's (construct, internal and external validity), * what makes a good hypothesis, * the PREPARE guidelines, * what to think about before designing your experiments including systematic reviews, * sources of bias and how to minimise their impact on your research, * defining the experimental unit, * approaches to maximise the signal to noise ratio, plus calculating the correct sample size, * common sources of variation and how to take them into account in your experimental design, * ARRIVE 2.0 for reporting animal studies. * freely available tools and resources to support individuals to develop their knowledge, understanding and skills further.

During this on-demand session tutor Dr Nikki Osborne discusses: * What research integrity is, and who is responsible for what? * the research framework as it relates to the responsible use of live animals or animal derived materials in Life Science research, * good practice expectations regarding openness and transparency, plus the dissemination of research outputs, * real-life examples of research misconduct within the life science sector, plus common non-compliance issues with UK and EU legislation governing the use of animals in scientific procedures. * freely available tools and resources to support individuals to develop their knowledge, understanding and skills further.

During this on-demand session tutor Dr Nikki Osborne discusses: * the historical context for animal use in research, * the range of Societal viewpoints on the use of animals in research and ethical theories unpinning them, * how animal use in scientific procedures legislation takes into account 'social ethics' through the process of ethical review, * the 3Rs principles of humane experimental technique. * freely available tools and resources to support individuals to develop their knowledge, understanding and skills further.

Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL

This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.