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"optical fiber" courses, certification and training

  1. Internationally Accredited Diploma Certificate in Nutrition

    Updated: Nov. 19 -Added a Starter Pack- 30+ Minutes -Added another Accreditation Authority: IAOTH-The International Association of Therapists -New Professional Certificate Design (different from Udemy) Now earn your Internationally Accredited Diploma in Nutrition accredited by The CPD Standards Certification Service, which is an independent body that ensures qualifications are in line with the most current professional standards. This means this course comply with universally accepted principles of Continual Professional Development (CPD) and have been structured to meet the criteria of personal development plans. CPD certification means that the content and structure of the courses have been independently assessed and approved for multi-disciplinary and industry-wide continuing personal and professional development purposes. Pass Mark : 50% to secure your certificate! Course Pre-requisite : None Course Duration : 1-4 weeks Course Lectures: See Below. Quizzes & Graded Exam: Graded Exam Certificate: Internationally Accredited by CPD (Details in the course) Course & Exam Location : Online Course Description We are facing an obesity epidemic where almost 2 billion people worldwide are overweight and 650 million are obese. This is hugely contributing to a significant increase in chronic diseases like type-2 diabetes and heart related conditions. These chronic ailments are largely preventable by following a healthy diet combined with an active lifestyle. This diploma in nutrition will be of great interest to all learners and healthcare professional who would like to learn the fundamentals of nutrition science. It provides an in-depth look into macronutrients and micronutrients and understand how they are essential for our bodies to grow and remain healthy. Module-1: Introduction to Nutrition will start off by discussing nutrition and nutrients. You will understand the concept of Energy Balance, BMR [Basal Metabolic Rate], TDEE [Total Daily Energy Expenditure], figure out how to calculate them using certain equations and formulas. Module-2: Macronutrients will dive deep into three macronutrients i. E. carbohydrates, proteins and fats. We will learn everything about them, including their classifications, types, food sources and their functions and requirements. Module 3: Micronutrients will discuss fat-soluble and water soluble vitamins, minerals, fiber, probiotics and water. We will do an in-depth discussion in the important functions that these micronutrients play in human body, their best food sources and symptoms which may occur in case their is a deficiency of a respective nutrient in our diet. You will be also be provided a table, that depicts their daily values, adequate limit, and upper tolerable limits. Along with visually pleasing lecture slides, you will find a voiceover presentation which explains all the slides in detail plus you will find the accompanying script in case you want to read [Helpful for people who are hearing impaired] Module 4 will provide you with 14 Nutritional Guidelines and 15 Healthy Snack Ideas and at least few diet plans both vegetarian and non-vegetarian. ###IMPORTANT### We offer a CPD Certificate which is different from the Udemy's Certificate of Completion. If you want your CPD Certificate from us, you are required to provide your full name and email-address. Your details will remain confidential with us. Who is the course for? -Anyone who wants to learn how to eat healthy and understand the fundamentals of nutritional science -Health & Fitness Professionals who want to help their clients with general nutrition tips/guidelines By the end of this course, what will you Learn? -Understand what the Macronutrients are and the role they play in our bodies -Understand the role Micronutrients, Fiber, Probiotics & Water play in our bodies -Understand Energy Balance. Figure out easy ways to determine BMR, TDEE -Learn the Top Carbohydrates/Proteins/Fat sources and figure out their estimated daily requirements. & much more! Lastly, you there is Bonus section which provides additional' readings and resources to in-case you want more in-depth understanding of the concepts provided.

    Online self studyIntermediate
    ₹ 12,800 97% OFF ₹ 451 Take this Course

    Lifestyle

    Offered by:  UDEMY
  2. CompTIA Server+ 2015

    An intelligent learning tool that aids you learn both hardware and software, Comptia Server+ 2015 certification boosts the performance of the IT professionals in companies of all sizes. The course explains the various server components like bus types, expansion slots, CPU, RAM and hard drives. Moreover, network services like DHCP or DNS in case of authentication server. One will also get to scout the different components that can be configured and installed on an operating system. The program starts with maintenance techniques and covers various techniques engaged with documentation and management. Later, you will discover disaster planning and importance of disaster recovery principles. It is a great addition to your learning and will help on your career path to master the server+ course.

    16.81 HoursOnline self studyIntermediate
    $ 185

    Safety, Network Security, Administration

    Offered by:  Skillsoft
  3. CompTIA Network+ Cert.; N10-006. The Total Course.

    This course is over 15 hours in length and covers everything you need to know to pass your CompTIA Network+ Certification (N10-006) Exam. The first goal of the course is to make you a good Network Tech and in the process make sure you are ready to pass the CompTIA exam.

    Offered by:  Eduonix
  4. Python for Computer Vision with OpenCV and Deep Learning

    Welcome to the ultimate online course on Python for Computer Vision! This course is your best resource for learning how to use the Python programming language for Computer Vision. We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data. The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever its necessary for developers to gain the necessary skills to work with image and video data using computer vision. Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more. As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data. In this course we'll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come. We'll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we'll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more. Then we'll move on to understanding video basics with OpenCV, including working with streaming video from a webcam. Afterwards we'll learn about direct video topics, such as optical flow and object detection. Including face detection and object tracking. Then we'll move on to an entire section of the course devoted to the latest deep learning topics, including image recognition and custom image classifications. We'll even cover the latest deep learning networks, including the YOLO (you only look once) deep learning network. This course covers all this and more, including the following topics: NumPy Images with NumPy Image and Video Basics with NumPy Color Mappings Blending and Pasting Images Image Thresholding Blurring and Smoothing Morphological Operators Gradients Histograms Streaming video with OpenCV Object Detection Template Matching Corner, Edge, and Grid Detection Contour Detection Feature Matching WaterShed Algorithm Face Detection Object Tracking Optical Flow Deep Learning with Keras Keras and Convolutional Networks Customized Deep Learning Networks State of the Art YOLO Networks and much more! Feel free to message me on Udemy if you have any questions about the course! Thanks for checking out the course page, and I hope to see you inside! Jose

    Online self studyIntermediate
    ₹ 12,800 97% OFF ₹ 451 Take this Course

    Operations, Machine Learning

    Offered by:  UDEMY
  5. Nano structured materials synthesis, properties, self assembly and applications

    The properties of nanoparticles are strongly dependent on size and shape.| It is therefore important to synthesize these materials using a methodology that is able to finely control these structural parameters and the corresponding polydispersity degree.

    Online self studyIntermediate
    Enquire Now

    Offered by:  NPTEL
  6. Python 3 Programming Specialization

    This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. | You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work. | By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.

    Online self studyIntermediate
    Enquire Now

    Offered by:  Coursera
  7. Vskills Certified Ubuntu Professional Government Certification

    Ubuntu is a free open source Debian-based Linux Operating System for personal computers, smartphones and tablets. It also runs network servers. This Vskills Certified Ubuntu Professional course is designed specifically to assess the candidate’s ability to manage an Ubuntu server as per an organisation’s requirements. This government-certified course tests the candidates on various areas related to the server system.

    100 hoursOffline self studyIntermediate
    $ 121

    Digital, Virtual Machine, Virtualization

    Offered by:  VSkills
  8. CISSP (Online Classroom - Flexi Pass)

    Certified Information Systems Security Professional (CISSP) training facilitates the learning and knowledge in designing, building, and maintaining a secure business environment using globally approved Information Security standards. The aim of the course is to develop expertise in architecture, and design of security and earn the 30 CPEs required for the CISSP certification exam. IT Security professionals such as Security Consultants and Managers, IT Directors and Managers, and Security Auditors and Architects are best suited for this course enhancing their skills and knowledge on business continuity planning & disaster recovery planning vital for the smooth running of any organization

    5558 Students
    Offered by:  Simplilearn
  9. Machine Learning A-Z: Hands-On Python & R In Data Science

    Interested in the field of Machine Learning? Then this course is for you! This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:Part 1 - Data PreprocessingPart 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest RegressionPart 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest ClassificationPart 4 - Clustering: K-Means, Hierarchical ClusteringPart 5 - Association Rule Learning: Apriori, EclatPart 6 - Reinforcement Learning: Upper Confidence Bound, Thompson SamplingPart 7 - Natural Language Processing: Bag-of-words model and algorithms for NLPPart 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural NetworksPart 9 - Dimensionality Reduction: PCA, LDA, Kernel PCAPart 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

    Online self studyIntermediate
    ₹ 12,800 Enquire Now

    Data Science, Machine Learning

    Offered by:  UDEMY
  10. Vskills Certified IT Support Professional Government Certification

    IT Support Professionals are associated with providing assistance to users on various services related to IT, providing from basic support services like password reset to higher levels of troubleshooting services. With proper IT Support System and trained professionals, organisations are able to strategise their IT policy and support for uninterrupted uptime of IT resources. Vskills Certified IT Support Professional Certification course offers hands-on training to candidates for efficient IT support as per an organisation’s requirements. The course is perfect for those who are interested in an IT support career and covers various topics like computer basics, hardware basics, troubleshooting principles, and networking basics. Upon successful completion of the course, the candidates are awarded with a government certification.

    100 hoursOffline self studyIntermediate
    $ 121

    IT Support, Digital, Languages, Operations

    Offered by:  VSkills
  11. Vskills Certified Apparel Designer

    Apparel designers, also called clothing or fashion designers, conceptualize and create items of clothing. They often specialize in one type of design, such as casual, evening or active wear. | It's nearly impossible to walk into a clothing store and not see a plethora of designs on the apparel being sold. Whether you're aiming to design for a specific company or brand, or license your work as a freelancer, knowing what it takes to be an apparel designer is crucial for your career to be successful.

    10 HoursOnline self studyBeginner
    ₹ 4,129

    Digital, Safety, Textile Design, Fashion Design, Law, Production

    Offered by:  VSkills
  12. Online self studyIntermediate
    $ 49

    Offered by:  Eduonix
  13. QuarkXPress Master Course

    This short-term certificate course in graphic designing will cover the major functions of the application and will make you a pro in short span of time. This QuarkXPress training course is designed for those who need to create, edit and design various spreads and layouts. It is ideal for both novices and professionals looking to learn tips and techniques of the software to build on advanced level skillset. The course guides you through the tools, features and methods needed to create professional documents with strong visual impact for either print and digital output.

    Online self studyIntermediate
    Enquire Now

    Digital

    Offered by:  ADMEC
  14. Online M.Sc - IT

    A rigorous two-year (4semesters) program designed to prepare graduates for varied career opportunities in Information Technology. | From database management system, software engineering, networking fundamentals, object oriented programming, and data structure using C language to routing protocols& concepts, emerging technologies, and network planning & design – the course covers important concepts, practices, and trends in the subject area. | The course teaches various methodologies and life cycles involved in developing software applications and conducting scientific research. | The course provides high-quality academic and technical training in software, databases, and networking with deep focus on the mathematical and theoretical foundations of computing. | Given its scope, the program will benefit anybody (with a graduation degree) seeking to develop skills, improve competency, and build expertise in the subject.

    Offered by:  Amity Online University
  15. Deep Learning A-Z: Hands-On Artificial Neural Networks

    As seen on Kickstarter Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.--- Why Deep Learning A-Z? ---Here are five reasons we think Deep Learning A-Z?¢?? really is different, and stands out from the crowd of other training programs out there:1. ROBUST STRUCTURE The first and most important thing we focused on is giving the course a robust structure. Deep Learning is very broad and complex and to navigate this maze you need a clear and global vision of it. That's why we grouped the tutorials into two volumes, representing the two fundamental branches of Deep Learning: Supervised Deep Learning and Unsupervised Deep Learning. With each volume focusing on three distinct algorithms, we found that this is the best structure for mastering Deep Learning.2. INTUITION TUTORIALSSo many courses and books just bombard you with the theory, and math, and coding... But they forget to explain, perhaps, the most important part: why you are doing what you are doing. And that's how this course is so different. We focus on developing an intuitive *feel* for the concepts behind Deep Learning algorithms. With our intuition tutorials you will be confident that you understand all the techniques on an instinctive level. And once you proceed to the hands-on coding exercises you will see for yourself how much more meaningful your experience will be. This is a game-changer.3. EXCITING PROJECTSAre you tired of courses based on over-used, outdated data sets? Yes? Well then you're in for a treat. Inside this class we will work on Real-World datasets, to solve Real-World business problems. (Definitely not the boring iris or digit classification datasets that we see in every course). In this course we will solve six real-world challenges:Artificial Neural Networks to solve a Customer Churn problem Convolutional Neural Networks for Image Recognition Recurrent Neural Networks to predict Stock Prices Self-Organizing Maps to investigate Fraud Boltzmann Machines to create a Recomender System Stacked Autoencoders* to take on the challenge for the Netflix $1 Million prize*Stacked Autoencoders is a brand new technique in Deep Learning which didn't even exist a couple of years ago. We haven't seen this method explained anywhere else in sufficient depth.4. HANDS-ON CODING In Deep Learning A-Z?¢?? we code together with you. Every practical tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means. In addition, we will purposefully structure the code in such a way so that you can download it and apply it in your own projects. Moreover, we explain step-by-step where and how to modify the code to insert YOUR dataset, to tailor the algorithm to your needs, to get the output that you are after. This is a course which naturally extends into your career.5. IN-COURSE SUPPORTHave you ever taken a course or read a book where you have questions but cannot reach the author?Well, this course is different. We are fully committed to making this the most disruptive and powerful Deep Learning course on the planet. With that comes a responsibility to constantly be there when you need our help. In fact, since we physically also need to eat and sleep we have put together a team of professional Data Scientists to help us out. Whenever you ask a question you will get a response from us within 48 hours maximum. No matter how complex your query, we will be there. The bottom line is we want you to succeed. --- The Tools ---Tensorflow and Pytorch are the two most popular open-source libraries for Deep Learning. In this course you will learn both! TensorFlow was developed by Google and is used in their speech recognition system, in the new google photos product, gmail, google search and much more. Companies using Tensorflow include AirBnb, Airbus, Ebay, Intel, Uber and dozens more. PyTorch is as just as powerful and is being developed by researchers at Nvidia and leading universities: Stanford, Oxford, ParisTech. Companies using PyTorch include Twitter, Saleforce and Facebook. So which is better and for what?Well, in this course you will have an opportunity to work with both and understand when Tensorflow is better and when PyTorch is the way to go. Throughout the tutorials we compare the two and give you tips and ideas on which could work best in certain circumstances. The interesting thing is that both these libraries are barely over 1 year old. That's what we mean when we say that in this course we teach you the most cutting edge Deep Learning models and techniques.--- More Tools --- Theano is another open source deep learning library. It's very similar to Tensorflow in its functionality, but nevertheless we will still cover it. Keras is an incredible library to implement Deep Learning models. It acts as a wrapper for Theano and Tensorflow. Thanks to Keras we can create powerful and complex Deep Learning models with only a few lines of code. This is what will allow you to have a global vision of what you are creating. Everything you make will look so clear and structured thanks to this library, that you will really get the intuition and understanding of what you are doing.--- Even More Tools --- Scikit-learn the most practical Machine Learning library. We will mainly use it: to evaluate the performance of our models with the most relevant technique, k-Fold Cross Validation to improve our models with effective Parameter Tuning to preprocess our data, so that our models can learn in the best conditions And of course, we have to mention the usual suspects. This whole course is based on Python and in every single section you will be getting hours and hours of invaluable hands-on practical coding experience. Plus, throughout the course we will be using Numpy to do high computations and manipulate high dimensional arrays, Matplotlib to plot insightful charts and Pandas to import and manipulate datasets the most efficiently.--- Who Is This Course For? ---As you can see, there are lots of different tools in the space of Deep Learning and in this course we make sure to show you the most important and most progressive ones so that when you're done with Deep Learning A-Z?¢?? your skills are on the cutting edge of today's technology. If you are just starting out into Deep Learning, then you will find this course extremely useful. Deep Learning A-Z?¢?? is structured around special coding blueprint approaches meaning that you won't get bogged down in unnecessary programming or mathematical complexities and instead you will be applying Deep Learning techniques from very early on in the course. You will build your knowledge from the ground up and you will see how with every tutorial you are getting more and more confident. If you already have experience with Deep Learning, you will find this course refreshing, inspiring and very practical. Inside Deep Learning A-Z?¢?? you will master some of the most cutting-edge Deep Learning algorithms and techniques (some of which didn't even exist a year ago) and through this course you will gain an immense amount of valuable hands-on experience with real-world business challenges. Plus, inside you will find inspiration to explore new Deep Learning skills and applications.--- Real-World Case Studies ---Mastering Deep Learning is not just about knowing the intuition and tools, it's also about being able to apply these models to real-world scenarios and derive actual measurable results for the business or project. That's why in this course we are introducing six exciting challenges:#1 Churn Modelling ProblemIn this part you will be solving a data analytics challenge for a bank. You will be given a dataset with a large sample of the bank's customers. To make this dataset, the bank gathered information such as customer id, credit score, gender, age, tenure, balance, if the customer is active, has a credit card, etc. During a period of 6 months, the bank observed if these customers left or stayed in the bank. Your goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn). Besides, you are asked to rank all the customers of the bank, based on their probability of leaving. To do that, you will need to use the right Deep Learning model, one that is based on a probabilistic approach. If you succeed in this project, you will create significant added value to the bank. By applying your Deep Learning model the bank may significantly reduce customer churn.#2 Image RecognitionIn this part, you will create a Convolutional Neural Network that is able to detect various objects in images. We will implement this Deep Learning model to recognize a cat or a dog in a set of pictures. However, this model can be reused to detect anything else and we will show you how to do it - by simply changing the pictures in the input folder. For example, you will be able to train the same model on a set of brain images, to detect if they contain a tumor or not. But if you want to keep it fitted to cats and dogs, then you will literally be able to a take a picture of your cat or your dog, and your model will predict which pet you have. We even tested it out on Hadelin?¢?? s dog!#3 Stock Price PredictionIn this part, you will create one of the most powerful Deep Learning models. We will even go as far as saying that you will create the Deep Learning model closest to ?¢?? Artificial Intelligence?¢?? . Why is that? Because this model will have long-term memory, just like us, humans. The branch of Deep Learning which facilitates this is Recurrent Neural Networks. Classic RNNs have short memory, and were neither popular nor powerful for this exact reason. But a recent major improvement in Recurrent Neural Networks gave rise to the popularity of LSTMs (Long Short Term Memory RNNs) which has completely changed the playing field. We are extremely excited to include these cutting-edge deep learning methods in our course!In this part you will learn how to implement this ultra-powerful model, and we will take the challenge to use it to predict the real Google stock price. A similar challenge has already been faced by researchers at Stanford University and we will aim to do at least as good as them. #4 Fraud DetectionAccording to a recent report published by Markets & Markets the Fraud Detection and Prevention Market is going to be worth $33.19 Billion USD by 2021. This is a huge industry and the demand for advanced Deep Learning skills is only going to grow. That?¢?? s why we have included this case study in the course. This is the first part of Volume 2 - Unsupervised Deep Learning Models. The business challenge here is about detecting fraud in credit card applications. You will be creating a Deep Learning model for a bank and you are given a dataset that contains information on customers applying for an advanced credit card. This is the data that customers provided when filling the application form. Your task is to detect potential fraud within these applications. That means that by the end of the challenge, you will literally come up with an explicit list of customers who potentially cheated on their applications.#5 & 6 Recommender SystemsFrom Amazon product suggestions to Netflix movie recommendations - good recommender systems are very valuable in today's World. And specialists who can create them are some of the top-paid Data Scientists on the planet. We will work on a dataset that has exactly the same features as the Netflix dataset: plenty of movies, thousands of users, who have rated the movies they watched. The ratings go from 1 to 5, exactly like in the Netflix dataset, which makes the Recommender System more complex to build than if the ratings were simply ?¢?? Liked?¢?? or ?¢?? Not Liked?¢?? . Your final Recommender System will be able to predict the ratings of the movies the customers didn?¢?? watch. Accordingly, by ranking the predictions from 5 down to 1, your Deep Learning model will be able to recommend which movies each user should watch. Creating such a powerful Recommender System is quite a challenge so we will give ourselves two shots. Meaning we will build it with two different Deep Learning models. Our first model will be Deep Belief Networks, complex Boltzmann Machines that will be covered in Part 5. Then our second model will be with the powerful AutoEncoders, my personal favorites. You will appreciate the contrast between their simplicity, and what they are capable of. And you will even be able to apply it to yourself or your friends. The list of movies will be explicit so you will simply need to rate the movies you already watched, input your ratings in the dataset, execute your model and voila! The Recommender System will tell you exactly which movies you would love one night you if are out of ideas of what to watch on Netflix! --- Summary ---In conclusion, this is an exciting training program filled with intuition tutorials, practical exercises and real-World case studies. We are super enthusiastic about Deep Learning and hope to see you inside the class! Kirill & Hadelin

    Online self studyIntermediate
    ₹ 12,800 97% OFF ₹ 451 Take this Course

    Machine Learning

    Offered by:  UDEMY
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