|Course or Certification Name||Category||Location||Mode of learning|
|Computer Hacking Forensic Investigator Certification||Ethical Hacking||Online self study|
|Computer Hacking and Forensics||Ethical Hacking||Online self study|
|Vskills Certified Computer Fundamentals Professional||MS Office||Offline self study|
|Python for Computer Vision with OpenCV and Deep Learning||Data Analysis||Online self study|
|Complete IT Support Specialist Course: IT Foundations||IT Support||Online self study|
|70-246: Monitoring and Operating a Private Cloud with System Center 2012||Cloud Computing||Online self study|
|Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)||Data Science||Online self study|
|Computer Networking||Routing & Network Support||Online self study|
|Advanced Operating Systems||Relational Databases||Online self study|
|Intro to Theoretical Computer Science||Web Technologies||Online self study|
|Become a Computer Vision Expert||Machine Learning||Online self study|
|CompTIA A+ Certification||Cloud Computing||Online self study|
|Proactive Computer Security||Cyber Security||Online self study|
|PG Diploma in HPC System Administration (PG-DHPCSA)||Hadoop Administration||Classroom|
|Certified NGO Manager Government Certification||CSR||Offline self study|
Computer hacking forensic investigation is the process of detecting hacking attacks and properly extracting evidence to report the crime and conduct audits to prevent future attacks. | Computer crime in todayâ€™s cyber world is on the rise. Computer Investigation techniques are being used by police, government and corporate entities globally and many of them turn to EC-Council for our Computer Hacking Forensic Investigator CHFI Certification Program.
Love the idea of digital forensics investigation? That is what computer forensics is all about. You will learn how to; determine potential online criminal activity at its inception, legally gather evidence, search and investigate wireless attacks.
MS Office suite is one of the most versatile software application suites used in the day-to-day operations to support and connect different business systems. This Vskills Certified Computer Fundamental MS Office Professional is an essential course for both beginners and professional which provide the essential skills required to show their competencies in MS Office. With this government certification, it will be easy for candidates to get employment opportunities in various offices using MS Office in their daily operations.
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
This is part one of a five part course thatâ??s designed to provide a comprehensive education on all the major aspects of an IT Support Specialist. By the end of this series youâ??ll have all the skills required to qualify for an entry level position. In this course you will learn a skill set that you can build on throughout this series of courses or continue your education in a more traditional setting. Either way, this course will provide you with a rock solid foundation for building up your mastery of IT Support.|Weâ??ll be covering the basic skills of Binary, System Administration, Operating Systems, Networking, and Security. In subsequent courses, weâ??ll be going in depth in all of these major aspects. Weâ??ll be focusing specifically on an IT help desk, but the knowledge and skills learned here have a broad scope of application within the field.|By the end of this first course, you'll be able to understand how a computer thinks and communicates using binary, what abstraction is and how to apply it to your work, troubleshooting skills and techniques and how to best apply them. We'll break down the hardware part by part and learn how they all function and work together to create a operational machine. We'll also be doing breakdowns on Software, Operating Systems, and how to troubleshoot issues. How to install software, how to install Operating Systems, like Windows, and how to build a desktop from scratch. You'll also gain the skills for strong documentation, how to manage computers, what a network is and how it functions and a whole lot more!|In addition, you'll learn How to properly interact with customers, and coworkers in an IT environment and be able to utilize powerful problem solving skills and how to implement effective solutions. These core concepts will be the foundation for everything and provide you with the understanding that youâ??ll need to learn more complicated aspects of IT Support.
This course is aligned with Microsoft Certified Solutions Expert (MCSE): Private Cloud | In this course, you will explore about the basics of private clouds and how they are monitored for performance, health and fulfillment. It also covers the system center 2012 R2 suite of products and how they are used for holistic cloud management. This course focuses on decision making, maintaining service management, resource monitoring and critical thinking. It is one of a series of programs that prepares that learner for Microsoft exam.
This is one of the most exciting courses I've done and it really shows how fast and how far deep learning has come over the years. When I first started my deep learning series, I didn't ever consider that I'd make two courses on convolutional neural networks . I think what You'll find is that, this course is so entirely different from the previous one, you will be impressed at just how much material we have to cover. Let me give you a quick rundown of what this course is all about: We're going to bridge the gap between the basic CNN architecture you already know and love, to modern, novel architectures such as VGG , ResNet , and Inception (named after the movie which by the way, is also great!) We're going to apply these to images of blood cells, and create a system that is a better medical expert than either you or I. This brings up a fascinating idea: that the doctors of the future are not humans, but robots. In this course, You'll see how we can turn a CNN into an object detection system, that not only classifies images but can locate each object in an image and predict its label. You can imagine that such a task is a basic prerequisite for self-driving vehicles . (It must be able to detect cars, pedestrians, bicycles, traffic lights, etc. in real-time) We'll be looking at a state-of-the-art algorithm called SSD which is both faster and more accurate than its predecessors. Another very popular computer vision task that makes use of CNNs is called neural style transfer . This is where you take one image called the content image, and another image called the style image, and you combine these to make an entirely new image, that is as if you hired a painter to paint the content of the first image with the style of the other. Unlike a human painter, this can be done in a matter of seconds. I will also introduce you to the now-famous GAN architecture ( Generative Adversarial Networks ), where you will learn some of the technology behind how neural networks are used to generate state-of-the-art, photo-realistic images. Currently, we also implement object localization , which is an essential first step toward implementing a full object detection system. I hope you're excited to learn about these advanced applications of CNNs, I'll see you in class! AWESOME FACTS: One of the major themes of this course is that we're moving away from the CNN itself, to systems involving CNNs. Instead of focusing on the detailed inner workings of CNNs (which we've already done), we'll focus on high-level building blocks. The result? Almost zero math . Another result? No complicated low-level code such as that written in Tensorflow , Theano , or PyTorch (although some optional exercises may contain them for the very advanced students). Most of the course will be in Keras which means a lot of the tedious, repetitive stuff is written for you. Suggested Prerequisites: Know how to build, train, and use a CNN using some library (preferably in Python) Understand basic theoretical concepts behind convolution and neural networks Decent Python coding skills, preferably in data science and the Numpy Stack TIPS (for getting through the course): Watch it at 2x. Take handwritten notes. This will drastically increase your ability to retain the information. Write down the equations. If you don't, I guarantee it will just look like gibberish. Ask lots of questions on the discussion board. The more the better! Realize that most exercises will take you days or weeks to complete. Write code yourself, don't just sit there and look at my code. WHAT ORDER SHOULD I TAKE YOUR COURSES IN?: Check out the lecture "What order should I take your courses in?" (available in the Appendix of any of my courses, including the free Numpy course)
This course covers advanced topics in Computer Networking such as Software-Defined Networking (SDN), Data Center Networking and Content Distribution. The course is divided into three parts: | Part 1 is about the implementation, design principles and goals of a Computer Network and touches upon the various routing algorithms used in CN (such as link-state and distance vector). | Part 2 talks about resource control and content distribution in Networking Applications. It covers Congestion Control and Traffic Shaping. | Part 3 deals with the operations and management of computer networks encompassing SDN's (Software Defined Networks), Traffic Engineering and Network Security.
In this course, we will see all the advances that have led to the state-of-the-art operating system that we know today, covering variety of platforms -- cell phones, multi-core, parallel systems, distributed systems, and cloud computing.
This class teaches you about basic concepts in theoretical computer science -- such as NP-completeness -- and what they imply for solving tough algorithmic problems.
Learn cutting-edge computer vision and deep learning techniquesâ€”from basic image processing, to building and customizing convolutional neural networks. Apply these concepts to vision tasks such as automatic image captioning and object tracking, and build a robust portfolio of computer vision projects.
CompTIA A+ is an entry-level certification that has been designed by The Computing Technology Industry Association, a non-profit trade association, to help IT professionals to boost their IT career. | This CompTIA A+ Certification course offers in-depth understanding of the most common hardware and software technologies in business and certifies the skills necessary to support complex IT infrastructures | The course has been developed by some of the expert professionals in the industry and offers quality online learning content | It offers a learning path that covers the objectives for the CompTIA A+ Certification Exam (220-901) and CompTIA A+ Certification Exam (220-902) and consists of a comprehensive list of topics like computer hardware knowledge, networking, troubleshooting, virtualisation and security
In this course, youâ€™ll learn how to proactively test what you have put in place to protect your data. In the first week youâ€™ll be able to discuss the basics of deterrents and how to â€œtrickâ€ attackers into believing theyâ€™ve hit a goldmine of data away from your real systems. In week 2, youâ€™ll be able to understand and discuss the steps of penetration testing methodology. In week 3, you will be able to understand and apply what you have learned on your own systems to test whether your systems are secure or not. In week 4, weâ€™ll discuss planning for your own methodology that you can apply to your own systems. And finally in week 5, weâ€™ll finish up with a project that will allow you to test your skills in a safe environment.
PG-DHPCSA will educate the aspirants who want to make an impact in the corporate and academic world in the domain of High Performance Computing system administration as System Administrator, Storage Administrator and IT Infrastructure Specialist. The course is also suitable for those who are already working in HPC administration domain to enhance their theoretical and conceptual knowledge as well as those who would like to start career in HPC administration. The collaboration with the different multi-national companies at the level of mutual research interests and customer related projects will ease the path for campus recruitment. At the end of the course the students will be able to manage HPC infrastructure like network, storage, resource and backup management, efficiently design data center, maintain the HADOOP cluster and map reduce technology, explore on HPC applications and solutions, and understand the fundamentals of various cloud techniques and system security
NGO (Non-governmental Organisation) Managers are responsible for managing the various functions of the organisation. They also develop systems and policies for organisations to manage the different divisions. | This Certified NGO Manager course imparts the required skills necessary for candidates to administer and manage a non-government organisation | The course covers various concepts and techniques, including legal procedures, Office and Documentation, Accounting, Budgeting and Resource Mobilization, Social Marketing, Project Management, Partnership, Capacity Building, Liasoning, Code of Ethics and Conduct, Computer basics, Internet and communication skills | It offers quality online content and a government certification upon completion