1096 Intuition courses

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The Interactive Media Design Essentials Course offers an exciting opportunity to delve into the fundamentals of design for digital media. Whether you're a beginner or looking to refine your skills, this course provides a thorough grounding in the techniques and concepts that drive dynamic media projects. It covers the essential principles of design, usability, and interactivity, ensuring that you gain a solid foundation in crafting engaging digital experiences. As the demand for interactive media continues to rise, this course positions you to understand the core elements that shape modern media design. Through this course, you'll explore key areas such as user-centred design, wireframing, and designing for various digital platforms. It’s aimed at individuals who want to understand the building blocks of digital media projects without getting bogged down by unnecessary jargon. Designed to help you grasp the essentials quickly, this programme will guide you through the process of developing designs that are visually appealing and highly functional. By the end, you'll be well-equipped with the knowledge to approach interactive media design with confidence and creativity, ready to tackle your next digital design project. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Interactive Media Design Module 02: Principles of Design Module 03: User Experience (UX) and User Interface (UI) Design Module 04: Interactive Media Tools and Technologies Module 05: Multimedia Integration Module 06: Interactive Storytelling Module 07: Designing for Multiple Platforms Learning Outcomes: Apply design principles to create visually stunning digital experiences. Craft seamless User Experience (UX) and User Interface (UI) designs. Utilise diverse multimedia elements for interactive storytelling. Master the use of cutting-edge tools and technologies in design. Develop the ability to create designs for multiple digital platforms. Integrate multimedia elements harmoniously to enhance digital narratives. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Creative minds seeking to excel in digital design. Aspiring UX/UI designers keen on honing their skills. Multimedia enthusiasts eager to explore interactive storytelling. Tech-savvy individuals passionate about design principles. Students aiming for a career in diverse digital platforms. Professionals seeking to upgrade their interactive media skills. Individuals with a flair for graphic and multimedia arts. Those desiring expertise in designing for various digital interfaces. Career path Digital Graphic Designer Multimedia Artist UX/UI Designer Interactive Media Developer Digital Content Creator Web and App Designer Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

This course for absolute beginners provides you with the opportunity to systematically learn core statistical and probability concepts, descriptive statistics, hypothesis testing, regression analysis, analysis of variance (ANOVA), and advanced regression/ML methods such as logistics regressions, polynomial regressions, decision trees, and more.

This course is perfect for the beginner but also delves into building a SAS Model and intermediate topics. Learn SAS Data Step, SQL Step, Macros, SAS Model Building, Predictive Analytics, SAS and ML. If you are using SAS Enterprise Guide and want to learn how to code/program instead of using the point-and-click interface, this course is ideal!

Overview We encounter lots of incidents every day at home or at work in which we need to think deeply about our decisions. Making the right choice not only saves time but also saves money and makes everyone happy. In this course, participants will learn how to refine their intuitions in order to make them trustable. Critical thinking and analysis will be a practice and habit for them and they will find themselves subconsciously using them. They will learn how to make sensible conclusions out of the data they managed to gather. 

Dive into the intricate world of deep learning with this sharply focused course on heuristic techniques using R. This programme is designed for learners keen to understand how heuristics shape machine learning models, particularly in deep neural networks. Whether you're brushing up on your algorithmic intuition or delving deeper into optimisation patterns, this course delivers a solid framework rooted in logic, not lingo. With R as your analytical companion, you'll explore neural computation, gradient-based strategies, backpropagation nuances, and heuristic-inspired adjustments that enhance model efficiency. This isn't about flashy tools or inflated claims — it's about getting your mind around how deep learning truly works, one clever calculation at a time. No fluff, no filler — just clear insights and well-paced learning to support your journey through the matrix of machine intelligence. Learning Outcomes: Develop an understanding of experimental design and how it applies to heuristics. Learn how to apply heuristics to real-world problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Understand how to use R programming language for deep learning heuristics. Develop skills in analyzing data sets and creating predictive models. Learn how to implement different heuristics algorithms in R programming. The Essential Training on Deep Learning Heuristic using R is designed to provide students with a comprehensive understanding of heuristics and how they can be applied to various real-world problems. The course covers experimental design, data analysis, and predictive modelling using R programming language. Students will learn about different heuristics algorithms and how to implement them in R to solve complex problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Throughout the course, students will work on various projects that will help them develop practical skills in analyzing data sets and creating predictive models. They will learn how to design experiments, collect and analyse data, and create models that can be used to make predictions. By the end of the course, students will have a strong understanding of heuristics, and deep learning, and how to apply them to solve real-world problems. Essential Training on Deep Learning Heuristic using R Course Curriculum Section 01: Experimental Design - Heuristics Project 1-Agriculture Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies Section 03: Experimental Design: Heuristics Project 3-Energy Sector Section 04: Experimental Design: Heuristics Project 4-Financial Markets 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 scientists who want to learn how to apply deep learning heuristics to solve real-world problems. Programmers who want to learn R programming language for data analysis and predictive modeling. Professionals in the agriculture, cryptocurrency, energy, and financial markets sectors who want to apply heuristics to solve complex problems. Students who want to learn about deep learning heuristics and how they can be applied to real-world problems. Anyone interested in developing practical skills in data analysis and predictive modelling using R programming language. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Deep Learning Engineer: £30,000 - £90,000 AI Researcher: £40,000 - £120,000 Data Scientist: £35,000 - £90,000 Machine Learning Engineer: £40,000 - £100,000 AI Architect: £50,000 - £150,000 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.

Immerse yourself in the ancient practice of yoga, a transformative journey that extends far beyond the mere physical postures. Our comprehensive yoga sessions are meticulously curated and led by seasoned professionals, offering a serene sanctuary tailored for the demands of modern-day professionals yearning for holistic balance and wellness. Delve into innate human abilities such as intuition, telepathy, clairvoyance, lucid dreaming, and energy healing. Uncover these dormant gifts existing within and enjoy awakening them fully.

DNA3 Theta Healing course in London and online/ class processes include deep resentment and belief work to know thyself; intuitively lining up the Eternal Molecules; spiritual bi-location; understanding the energy fields of non-organic material and the power of our words to manifest our reality.

Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

You will learn Python-based deep learning and machine learning techniques through this course. With numerous real-world case studies, we will go over all the mathematics needed to master deep learning algorithms. We will study Backpropagation, Feed Forward Network, Artificial Neural Networks, CNN, RNN, Transfer Learning, and more.