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Stuck on Your Agile Journey? - Become a Learning Organization Although the adoption of an agile framework may be a good first step on your improvement journey, your real goal is to become a learning organization. Learning organizations are capable of developing their own fit-for-purpose Way or Working (WoW), which may be a hybrid of approaches, that enables them to out-compete others. The Disciplined Agile (DA) tool kit teaches you what agile frameworks will not - how to choose the approach for the situation that you face, continually learn, and ultimately improve your WoW. DA includes improvement techniques for individuals, teams, cross-team collaborations, value streams, and your enterprise. Knowing how to improve, and doing so effectively, is what enables you to become a learning organization. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU. Learning objectives: Understand what a learning organization is and why you need to become one Discover improvement techniques for all levels of your organization Explore how to apply the Disciplined Agile (DA) tool kit to improve your continuous improvement strategy

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

Duration 45.625 Days 273.75 CPD hours Overview Live, instructor-led virtual classes: Benefit from an interactive classroom with added flexibility and convenience. Access to Red Hat certified instructors: Virtual classes are taught by the same experienced subject matter experts who lead classroom trainings. Flexible scheduling options: Various class topics and time options facilitate incorporating learning and preferences into busy schedules. Focused training sessions: Participants can narrow their learning to more specific topic areas. Choice of learning modality: A combination of self-paced materials and expert-taught classes maximizes learning. Train without traveling: Learn when, where, and how it is best for you Red Hat© Learning Subscription Premium provides a customizable learning experience with self-paced and live training options. Users can tailor their learning with recorded video classes, e-books, online content, and live virtual classes. A subscription provides access to content across the entire Red Hat product portfolio, content that is continuously updated by Red Hat experts. Live, instructor-led classes create an engaging, immersive learning experience. These interactive sessions compliment the on-demand, self-paced learning materials available with a Red Hat Learning Subscription for highly effective, flexible training for everyone from beginners to experienced professionals.This subscription provides an array of additional features to complement the learning experience. Cloud-based labs give the opportunity for hands-on practice in actual Red Hat environments. Expert extras are short, on-demand videos where Red Hat practitioners demonstrate innovative technologies in practical scenarios. Skills paths and pre-assessments are available for course selection guidance. Red Hat Learning Subscription Premium also includes certification exams. Red Hat?s exams are industry-recognized and performance-based. These exams validate that holders have the skills needed to undertake even the most ambitious technology projects. Reporting capabilities to track progress toward training and certification goals. 24x7 self-paced access to Red Hat online training and video classroom courses Content is created by Red Hat experts who build and use Red Hat technology and is directly related to Red Hat certification exams. Early access Be the first to explore in-development technology before it is officially released by accessing courses and labs in development. Cloud-based labs Get hands-on practice in authentic Red Hat environments, delivered 24x7 on six continents. Skills paths Map your learning and certification goals to one of the skills paths inside the platform to develop a strong foundation for a specific skill set. Certification exams and retakes Validate your skills through performance-based exams remotely or at a testing station. Exams can be taken when and where it's most convenient. Expert extras Red Hat field practitioners present short demo videos to supplement courses by showing innovative technologies and practices based on actual use cases. Expert chat Get direct answers and guidance from curriculum experts via a 30-minute chat session per day. Machine translations provide chat dialogue in local languages. E-book Downloads Download course e-books to continue learning offline. Reporting An individual?s dashboard provides a summary of training progress, courses and labs taken, and exam status. Management reports provide insights so a team?s engagement and progress can be measured. Globally available,translated content Access Red Hat?s most popular courses in as many as 11 languages: English, International Spanish, Brazilian Portuguese, French, Italian, German, Simplified Chinese, Korean, Japanese, Hindi, and Czech. Additional course details: Nexus Humans Red Hat Learning Subscription Premium 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 Red Hat Learning Subscription Premium 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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Maya Evening Learning Sessions. Maya Evening Learning Sessions offer flexibility for professionals, interactive classes, supportive community, and skill enhancement in a convenient after-work schedule. Perfect for work-life balance and continued education. Click here for more info: Website Tailored Learning: Custom curriculum catering to your skill level. Course Duration: 10 hours. Approach: 1-to-1  Schedule: Craft your learning path by pre-booking hours from Mon to Sat, 9 am to 7 pm, accommodating your convenience. Maya 10-Hour Course Key Details: Duration: 10 hours of intensive training. Approach: Hands-on, interactive sessions focusing on essential Maya concepts and techniques. Curriculum Highlights: Introduction to Maya: Understanding the software interface and basic tools. 3D Modeling: Mastering polygon modeling techniques and object manipulation. Texturing and Materials: Learning to apply textures, materials, and UV mapping. Lighting and Rendering: Exploring lighting setups, camera compositions, and rendering methods. Animation Fundamentals: Grasping keyframe animation, editing clips, and basic character rigging. Special Effects and Dynamics: Creating particle systems, fluid simulations, and basic special effects. Who Should Attend: Beginners: Individuals new to 3D modeling and animation. Aspiring 3D Artists: Those aiming to pursue careers in animation, gaming, or visual effects. Creative Professionals: Designers and artists looking to expand their skill set into 3D graphics. Job Opportunities: Completing this Maya course equips participants with the skills necessary for various roles, including: 3D Modeler: Creating detailed 3D models for games, movies, or simulations. Animator: Bringing characters and scenes to life through animation. Texture Artist: Designing textures and materials to enhance 3D models. Lighting Artist: Illuminating scenes to evoke specific moods and atmospheres. Visual Effects Artist: Specializing in creating stunning visual effects for films and games. Participants completing the Maya 10-Hour Course will: Master Maya basics including modeling, texturing, lighting, and animation. Create 3D models, apply textures, and understand lighting and rendering principles. Develop essential skills in animation and special effects. Troubleshoot common issues in 3D projects. Recommended Books: "Introducing Autodesk Maya 2022" by Derakhshani: Comprehensive guide with hands-on tutorials. "Maya Character Creation" by Maraffi: Focuses on character modeling and animation techniques. "The Animator's Survival Kit" by Williams: Timeless principles applicable to any animation software. Maya 10-Hour Course Key Details: Duration: 10 hours of intensive training. Approach: Hands-on, interactive sessions focusing on essential Maya concepts and techniques. Curriculum Highlights: Introduction to Maya: Understanding the software interface and basic tools. 3D Modeling: Mastering polygon modeling techniques and object manipulation. Texturing and Materials: Learning to apply textures, materials, and UV mapping. Lighting and Rendering: Exploring lighting setups, camera compositions, and rendering methods. Animation Fundamentals: Grasping keyframe animation, editing clips, and basic character rigging. Special Effects and Dynamics: Creating particle systems, fluid simulations, and basic special effects. Who Should Attend: Beginners: Individuals new to 3D modeling and animation. Aspiring 3D Artists: Those aiming to pursue careers in animation, gaming, or visual effects. Creative Professionals: Designers and artists looking to expand their skill set into 3D graphics. Job Opportunities: Completing this Maya course equips participants with the skills necessary for various roles, including: 3D Modeler: Creating detailed 3D models for games, movies, or simulations. Animator: Bringing characters and scenes to life through animation. Texture Artist: Designing textures and materials to enhance 3D models. Lighting Artist: Illuminating scenes to evoke specific moods and atmospheres. Visual Effects Artist: Specializing in creating stunning visual effects for films and games. Adaptable Evening Maya Classes In-Depth 10-Hour Maya Program Hands-On Maya Projects Professional Maya Expertise Diverse Maya Applications Guidance from Experts Tailored Learning Experience Ongoing Email Assistance Access to Maya Trial and Resources Ignite Your Creative Potential!

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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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Machine learning is a vital aspect of data science, and it is the fundamental building block of artificial intelligence. This course is designed to help you master the basics of machine learning by taking you through ten comprehensive modules. Learning outcomes: Understand the basic principles of machine learning and its significance in today's world. Learn how to use Minitab for data analysis and data cleaning. Understand how regression trees and classification trees work and how to apply them. Understand binary logistic regression and its applications. Understand data modelling and how to use different predictors. Learn how to evaluate and improve the performance of machine learning models. The Machine Learning Basics course is designed to help individuals develop a fundamental understanding of machine learning. In this course, you will learn about the basics of machine learning, including regression, predictors, data cleaning, and data models. Additionally, you will learn how to use Minitab for data analysis and how to apply binary logistic regression, regression trees, and classification trees. The course includes ten comprehensive modules that will help you develop the skills you need to become a machine learning expert. This course is for anyone who wants to learn the basics of machine learning, including students, data analysts, and business professionals. By the end of the course, you will have a deep understanding of machine learning principles, including how to apply machine learning algorithms to solve real-world problems. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students who want to learn about machine learning. Data analysts who want to enhance their skills. Business professionals who want to understand machine learning. Anyone who wants to develop a fundamental understanding of machine learning. Career path Career paths related to this industry are: Data analyst: £20,000 - £50,000 per year Machine learning engineer: £30,000 - £90,000 per year Data scientist: £35,000 - £80,000 per year Business intelligence analyst: £25,000 - £55,000 per year Artificial intelligence (AI) specialist: £45,000 - £100,000 per year Software engineer: £25,000 - £70,000 per year

🌟 Unleash Your Genius Potential with 'Utilise the Learning Methods of a Genius' Online Course! 🌟 🚀 Ready to unlock your inner genius and revolutionize your learning process? Dive into our groundbreaking online course designed to uncover the secrets behind the learning methods of history's greatest minds!   🧠Imagine tapping into the strategies employed by geniuses like Einstein, Da Vinci, and Curie to absorb information faster, retain knowledge longer, and boost your overall cognitive abilities. This isn't just another course; it's a transformative journey toward maximizing your learning potential. 🎓 What You'll Gain:   Insider Insights: Explore the unique learning methodologies of renowned geniuses and adapt them to your own study routine. Enhanced Retention: Learn powerful memory techniques and brain hacks to retain information effortlessly. Accelerated Learning: Discover shortcuts to mastering complex subjects, allowing you to learn more in less time. Optimized Study Habits: Tailor your study habits for peak efficiency, productivity, and long-term success. Practical Applications: Apply these methods to various areas of your life, from academics to career advancement. 🌈 Course Highlights:   Engaging video lectures led by experts in neuroscience and education. Interactive modules and exercises for hands-on learning. Personalized strategies to suit your unique learning style. Ongoing support and community interaction for continual growth. 🔥 Don't miss this chance to revolutionize how you learn! Join 'Utilise the Learning Methods of a Genius' and embark on a transformational journey toward unleashing your full intellectual potential. 🚨 Limited Time Offer: Enroll now and gain immediate access to our exclusive early bird discount! Course Curriculum

Overview UK Healthcare and Education workers need specialist training to engage with individuals with learning disabilities, which is available here and now. This essential course is specifically designed to help you support those that have challenges in learning and help their development. The Working with Individuals with Learning Disabilities Level 2 course will teach you to identify and recognise the symptoms that are indicative of learning difficulties and of being able to diagnose the issue, therefore providing the right supportive measures. You will be taught how to share this awareness and install the right care and attention across your team and in your organisation's infrastructure. How will I get my certificate? At the end of the course there will be a written assignment test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Working with Individuals with Learning Disabilities Level 2. It is available to all students, of all academic backgrounds. Requirements Our Working with Individuals with Learning Disabilities Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 10 sections • 9 lectures • 04:20:00 total length •Module 01: Learning Support Assistant: Workplace & Works: 00:30:00 •Module 02: Teaching Methodologies: 00:30:00 •Module 03: Skills of A Learning Support Assistant: 00:20:00 •Module 04: The Role and Responsibilities of the Learning Support Assistant: 00:20:00 •Module 05: SEN Teaching: 01:00:00 •Module 06: Supporting Pupils with Special Needs (Part 01): 00:30:00 •Module 07: How to Support Pupils with Special Needs Part-2: 00:50:00 •Module 08 Safeguarding Children and Young People: 00:20:00 •Assignment - Working with Individuals with Learning Disabilities Level 2: 00:00:00