Hi trend,
Did you know that there are nowhere near enough AI and computer vision experts to meet 21st century needs? It's true! I receive email daily from engineers looking to solve tough big data problems. Many are professionals that have been working for a long time doing more traditional kinds of classification, image manipulation, and identification of video and images but those approaches just don't scale well. Because of recent advancements in the field, however, there are better tools and methods that leave the old methodologies in the dust, and you can learn those techniques with a little self-investment.
OpenCV has a course that covers these new approaches, taught by your's truly.
OpenCV Course: Computer Vision II
In the second OpenCV course, we dig into detection of facial features in images and video and gently expand from there to learn full object detection, text recognition, deep learning, and a lot more! You'll feel confident exiting this course with skills that will make you very competitive in the job market, and light a fire in your mind with a thousand new possibilities of how to use these AI and computer vision techniques to achieve your goals across a wide range of industries. The deep learning techniques I teach will supercharge your ability to solve complicated image and video analysis problems that power big companies like Facebook, Youtube and others.
Here's a short list of some of the things you'll be learning in this course. Or click here for the full Computer Vision II Syllabus (PDF).
- Facial Landmark Detection
- Face Morphing, Animation, Swaps and more!
- SnapChat filters
- Face Recognition
- Intro to Deep Learning with Keras (Python) and LibTorch (C++)
- Image classification using Deep Learning and Convolutional Neural Networks (CNNs)
- Object Detection using YOLO
- Text Detection and Recognition with Tesseract
- Deploying and Managing Learning Models on AWS
AI is like electricity
It will disrupt one industry after the other. You want to ride this wave to a better career. You want to build fun applications using Computer Vision. You have the itch that makes creative people want to try new things; explore new areas. You know working in the field of Computer Vision and AI will be very exciting, but you can use a little help from someone who is not as intimidating as a college Professor but is like a friend who has traveled the path before. I will be honored to be the teacher who will guide you into this exciting new area.
"The OpenCV course is refreshing in the computer vision community! Satya Mallick (CEO) is very clear in his lectures for every topic in the field including the source code assigned. The Q/A forum is humbling between authors and students with positive responses. What encouraged me to enroll is their upcoming course integrating PyTorch with OpenCV for its fast imperative "pythonic" programming style reported by Jeremy Howard ( CEO of fast.ai ). My favorite project so far is the snapchat filter: replacing your face with another in a video. I can tell that the authors took their time organizing a course with the latest tech in computer vision and get a head start in the AI industry with practical skills." - Roberto Chavez Jr, Student, UC Santa Cruz
Stay tuned for information on the Deep Learning With PyTorch course, coming to your inbox soon. I have put my heart, my soul and a lot of time and resources into this course to save you time and effort. I will make it a wonderful experience for you. If you want to stop receiving emails about course enrollment, you may opt out here. However, you won't be able to get the substantial one-time-only 20% Discount that I'll be sharing with you soon.
Satya Mallick
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