Deep Learning

Top 40+ Computer Vision and Deep Learning Courses

Empower Your AI Skills: The Best 45 Courses in Computer Vision and Deep Learning

IndustryTrends

The field of Computer Vision and Deep Learning has seen unprecedented growth in recent years, driven by advancements in AI and machine learning technologies. Whether you're a beginner looking to break into this field or an experienced professional aiming to deepen your expertise, numerous courses are available online to suit your needs. This article provides a detailed overview of top courses offered by various platforms, highlighting key features, skills covered, and other essential details.

Top Courses in Computer Vision and Deep Learning

1. Python for Computer Vision with OpenCV and Deep Learning

  • Offered by: Udemy

  • Duration: 14 hours

  • Learning Format: Online

  • Skills Covered: NumPy, OpenCV, Python, Face Detection Software, Tensorflow, Keras, Color Histograms, Grid detection techniques

  • Fees: INR 549

  • Source: Course Link

This course provides a solid foundation in computer vision using Python and OpenCV. It covers essential skills like face detection and deep learning techniques using Tensorflow and Keras.

2. Modern Computer Vision GPT, PyTorch, Keras, OpenCV4 in 2024

  • Offered by: Udemy

  • Duration: 28 hours

  • Learning Format: Online

  • Skills Covered: Computer Vision, Object Detection Frameworks, YOLOv8, R-CNNs, Detectron2, SSDs, Neural Style Transfer, Google Deep Dream, ResNets, InceptionV3, DenseNet, MobileNet, EfficientNet, Siamese Networks, Facial Recognition, Point Cloud (3D data), Computer Vision Deep Learning, U-Net, SegNet, GANs, Autoencoders, CNN Techniques

  • Fees: INR 499

  • Source: Course Link

This extensive course dives deep into modern computer vision techniques, covering a wide range of frameworks and algorithms essential for advanced applications.

3. Computer Vision Masterclass

  • Offered by: Udemy

  • Duration: 25.5 hours

  • Learning Format: Online

  • Skills Covered: Cascade, HOG, OpenCV, Detect faces, Dlib library, CF and CSRT algorithms, Neural networks, Extract pixels, Haarcascade, HOG (Histogram of Oriented Gradients), CNN (Convolutional Neural Networks), LBPH algorithm, GANs

  • Fees: INR 499

  • Source: Course Link

Focused on practical applications, this masterclass covers essential techniques and libraries used in computer vision, including facial detection and neural networks.

4. Computer Vision in Python for Beginners (Theory & Projects)

  • Offered by: Udemy

  • Duration: 26 hours

  • Learning Format: Online

  • Skills Covered: Computer Vision (CV), Python, TensorFlow, Panoramic images, Object Tracking, Object detection, Numpy, Edge Detection, Shape Detection, Corner Detection, 3D images

  • Fees: INR 499

  • Source: Course Link

Ideal for beginners, this course combines theoretical knowledge with hands-on projects, covering basic to advanced computer vision techniques using Python.

5. Deep Learning and Computer Vision A-Z + AI & ChatGPT Prizes

  • Offered by: Udemy

  • Duration: 11 hours

  • Learning Format: Online

  • Skills Covered: Computer Vision models, OpenCV, Master Facial Recognition, Object Detection

  • Fees: INR 499

  • Source: Course Link

This course offers a comprehensive introduction to deep learning and computer vision, including practical applications like facial recognition and object detection.

6. TensorFlow for Deep Learning Bootcamp

  • Offered by: Udemy

  • Duration: 62.5 hours

  • Learning Format: Online

  • Skills Covered: Computer Vision, Convolutional Neural Networks, Natural Language Processing, Machine Learning, Artificial Intelligence, Deep Learning, TensorFlow 2

  • Fees: INR 549

  • Source: Course Link

An extensive bootcamp designed for those looking to master TensorFlow, this course covers a wide range of topics including CNNs, NLP, and AI.

7. Deep Learning: Advanced Computer Vision

  • Offered by: Udemy

  • Duration: 16 hours

  • Learning Format: Online

  • Skills Covered: SSD, Object Detection, Computer vision, GANs, OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, Stable Diffusion, VGG, ResNet, Object Localization Implementation Project

  • Fees: INR 649

  • Source: Course Link

This advanced course dives into sophisticated topics in computer vision and deep learning, including the latest models and techniques.

8. Machine Learning: Modern Computer Vision & Generative AI

  • Offered by: Udemy

  • Duration: 6 hours

  • Learning Format: Online

  • Skills Covered: KerasCV, Python, Tensorflow, PyTorch, JAX for Image Recognition, Object Detection, Stable Diffusion

  • Fees: INR 499

  • Source: Course Link

This course focuses on the intersection of machine learning and computer vision, emphasizing practical skills in various frameworks.

9. Tensorflow 2.0: Deep Learning and Artificial Intelligence

  • Offered by: Udemy

  • Duration: 23 hours

  • Learning Format: Online

  • Skills Covered: Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning

  • Fees: INR 649

  • Source: Course Link

This course covers TensorFlow 2.0 and its applications in deep learning, providing insights into various advanced topics including reinforcement learning and GANs.

10. Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

  • Offered by: Udemy

  • Duration: 14 hours

  • Learning Format: Online

  • Skills Covered: Emotion, Age & Gender Classification, London Underground Sign Detection, Monkey Breed, Flowers, Fruits, Simpsons Characters, Neural Networks, Convolutional Neural Networks, R-CNNs, SSDs, YOLO & GANs, Python, Deep Learning Networks, Facial Recognition, Computer Vision API, OpenCV, PyTorch, Caffe, MXNET, CV APIs

  • Fees: INR 549

  • Source: Course Link

This course is comprehensive, covering a wide range of topics in computer vision and deep learning with practical applications using various frameworks and tools.

11. Master Computer Vision with Deep Learning, OpenCV4 & Python

  • Offered by: Udemy

  • Duration: 12 hours

  • Learning Format: Online

  • Skills Covered: Computer Vision, CV Projects, Object detection, Object Tracking, Object Recognition, CSRT, KCF, Coding Image Processing, Haar Cascade, YOLOv3, LBP

  • Fees: INR 549

  • Source: Course Link

This course is ideal for those looking to master computer vision with practical projects and real-world applications, utilizing OpenCV4 and Python.

12. Autonomous Cars: Deep Learning and Computer Vision in Python

  • Offered by: Udemy

  • Duration: 12 hours

  • Learning Format: Online

  • Skills Covered: Convolutional Neural Networks, Tensorflow, Keras, OpenCV, Transform images, Artificial neural networks, Deep learning, SVM, Numpy, Pandas, Matplotlib, Seaborn, Sobel, Laplace, Canny, Naive Bayes

  • Fees: INR 549

  • Source: Course Link

Focusing on the application of deep learning and computer vision in autonomous driving, this course covers a range of relevant topics and tools.

13. Master Deep Learning for Computer Vision in TensorFlow

  • Offered by: Udemy

  • Duration: 48 hours

  • Learning Format: Online

  • Skills Covered: Tensors, Tensorflow, Functional API, Model Subclassing, Custom Layers, Confusion Matrix, ROC Curve, Mitigating Overfitting and Underfitting with Dropout, Regularization, Data augmentation, Advanced augmentation, TensorFlow 2, Machine Learning Operations (MLOps), Hyperparameter, Modern convolutional neural networks (Alexnet, Vggnet, Resnet, Mobilenet, EfficientNet), Digit generation with Variational autoencoders (VAE), Face generation with GANs

  • Fees: INR 649

  • Source: Course Link

This extensive course dives deep into TensorFlow for computer vision, covering both foundational and advanced topics extensively.

14. Master Computer Vision™ OpenCV4 in Python with Deep Learning

  • Offered by: Udemy

  • Duration: 10 hours

  • Learning Format: Online

  • Skills Covered: OpenCV4, Python, Face Detectors & Recognizers, Augmented Reality, Computer Vision, Computer Vision and Image Processing, Object Detection, Tracking and Motion Analysis, Python, Numpy, Neural and Convolutional Neural Networks, OCR Reader

  • Fees: INR 499

  • Source: Course Link

This course covers practical applications in computer vision, focusing on OpenCV4 and Python for various tasks such as object detection and augmented reality.

15. Complete Computer Vision With GenAI-12 Projects

  • Offered by: Udemy

  • Duration: 26 hours

  • Learning Format: Online

  • Skills Covered: Deep learning, KERAS, Recurrent neural network (RNN), Gated Recurrent Unit (GRU), Generative adversarial networks (GANs), Convolutional neural network (CNN), LSTM (Long Short-Term Memory), Data Annotation, ImageNet, Pytorch, Feature extraction, Image annotation

  • Fees: INR 499

  • Source: Course Link

This comprehensive course combines theory with 12 hands-on projects, providing a deep dive into computer vision and generative AI techniques.

16. Computer Vision: Face Recognition Quick Starter in Python

  • Offered by: Udemy

  • Duration: 9.5 hours

  • Learning Format: Online

  • Skills Covered: Face Detection, Emotion Detection, Age-Gender Prediction, Realtime Videos

  • Fees: INR 499

  • Source: Course Link

A quick starter course focusing on face recognition and related applications, this is ideal for those looking to get started with Python in computer vision.

17. Deep Learning with PyTorch for Medical Image Analysis

  • Offered by: Udemy

  • Duration: 12 hours

  • Learning Format: Online

  • Skills Covered: NumPy, Medical Imaging, CNN, Artificial Neural Networks, PyTorch-Lightning

  • Fees: INR 649

  • Source: Course Link

This specialized course applies deep learning techniques using PyTorch for medical image analysis, covering various essential skills and tools.

18. Computer Vision - Object Detection on Videos - Deep Learning

  • Offered by: Udemy

  • Duration: 3 hours

  • Learning Format: Online

  • Skills Covered: Video Analytics, Deep Learning, Object Detection, Image Classification, SORT Framework, Object Tracking, Object Detection Models, RCNN, YOLO, HOG, Executable Code of SORT

  • Fees: INR 549

  • Source: Course Link

This concise course focuses on object detection in videos using deep learning techniques, ideal for those interested in video analytics.

19. PyTorch: Deep Learning and Artificial Intelligence

  • Offered by: Udemy

  • Duration: 24 hours

  • Learning Format: Online

  • Skills Covered: Artificial Neural Networks (ANNs), Deep Neural Networks (DNNs), Deep Reinforcement Learning Stock Trading Bot, Convolutional Neural Networks (CNNs), Natural Language Processing (NLP), Deep Learning, Computer Vision, GANs, Image Recognition, Recurrent Neural Networks (RNNs), OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion

  • Fees: INR 3,099

  • Source: Course Link

A comprehensive course on PyTorch, covering various applications in deep learning and artificial intelligence, including GANs and NLP.

20. TensorFlow Hub: Deep Learning, Computer Vision and NLP

  • Offered by: Udemy

  • Duration: 7 hours

  • Learning Format: Online

  • Skills Covered: TensorFlow models, Computer Vision, Natural Language Processing, GAN, Convolutional Neural Networks

  • Fees: INR 499

  • Source: Course Link

This course provides a solid foundation in TensorFlow for deep learning, covering both computer vision and natural language processing applications.

21. Computer Vision

  • Offered by: Udacity

  • Duration: 3 months

  • Learning Format: Online

  • Skills Covered: Object detection, PyTorch, Image classification, Data augmentation, K-means clustering, Feature visualization, Convolutional kernels, Object recognition, Hough transform, Convolutional neural networks, Neural network basics, Feature embeddings, 2d image transforms, Facial recognition, Neural network activation, Feature detection

  • Fees: Not Available

  • Source: Course Link

A detailed nano degree program that covers various aspects of computer vision, offering extensive practical and theoretical knowledge.

22. Computer Vision and Generative AI

  • Offered by: Udacity

  • Duration: 4 Weeks

  • Learning Format: Online

  • Skills Covered: Image pre-processing, Transfer learning, Word embeddings, Ethical AI, Diffusion Models, Yolo algorithm, Model evaluation, Text generation, Computer vision fluency, Image classification, Large Language Models, Pandas, Image generation, Training neural networks, Convolutional neural networks, Parameter-Efficient Fine-Tuning, Image segmentation, Computer Vision Transformers, Tokenization, Data quality assessment, GANs

  • Fees: Not Available

  • Source: Course Link

This course covers both computer vision and generative AI, focusing on practical applications and ethical considerations.

23. Advanced Computer Vision and Deep Learning

  • Offered by: Udacity

  • Duration: 1 month

  • Learning Format: Online

  • Skills Covered: Recurrent neural networks, Attention mechanisms, Long-short term memory networks, Yolo algorithm, Model training, Convolutional neural networks, Neural network memory, Image caption generation

  • Fees: Not Available

  • Source: Course Link

Aimed at advanced learners, this course covers sophisticated topics in computer vision and deep learning, including RNNs and attention mechanisms.

24. Building Computer Vision Solutions with Azure

  • Offered by: Udacity

  • Duration: 4 Weeks

  • Learning Format: Online

  • Skills Covered: Azure, Facial recognition, Form recognition, Object detection, Face detection, Bounding boxes, Image classification, Azure cognitive services, Azure video analyzer, Azure model and data deletion, Optical character recognition, Face landmarks and attributes, Azure model and data export, Role-based access control, Model deployment with Azure, Data science fluency, Application monitoring with Azure, Computer vision business context

  • Fees: Not Available

  • Source: Course Link

This course provides a comprehensive guide to building computer vision solutions using Azure, ideal for those looking to leverage cloud services for their applications.

25. Deep Learning Topics with Computer Vision and NLP

  • Offered by: Udacity

  • Duration: 4 Weeks

  • Learning Format: Online

  • Skills Covered: Neural network basics, Deep learning fluency, Sagemaker jumpstart, Machine learning framework fundamentals, Hyperparameter tuning, Transformer neural networks, Sagemaker debugger, Image classification, Training neural networks, Deep learning model optimization, Transfer learning, PyTorch, Convolutional neural networks, Text classification, Model performance metrics

  • Fees: Not Available

  • Source: Course Link

This course covers advanced topics in deep learning, focusing on both computer vision and NLP, with practical applications using PyTorch and other frameworks.

26. Computer Vision: Image Understanding for Efficient Business and Industry

  • Offered by: Future Learn, Lulea University of Technology

  • Duration: 3 Weeks

  • Learning Format: Online

  • Skills Covered: Computer Vision, Image processing, Machine learning, Deep learning

  • Fees: Not Available

  • Source: Course Link

This course is designed for professionals looking to apply computer vision in business and industry, covering essential skills and applications.

27. Applied Artificial Intelligence: Computer Vision and Image Analysis

  • Offered by: Future Learn, Cloud Swyft

  • Duration: 4 Weeks

  • Learning Format: Online

  • Skills Covered: Image segmentation, Image features and classical segmentation techniques, Object Classification, Object Detection, Deep image segmentation

  • Fees: Not Available

  • Source: Course Link

This course covers applied AI techniques in computer vision and image analysis, ideal for those looking to implement these technologies in real-world scenarios.

28. Introduction to Microsoft Azure AI Fundamentals

  • Offered by: Future Learn, Microsoft

  • Duration: 5 Weeks

  • Learning Format: Online

  • Skills Covered: Artificial intelligence, machine learning, computer vision, natural language processing, conversational AI

  • Fees: Not Available

  • Source: Course Link

This course provides an introduction to AI fundamentals using Microsoft Azure, covering key areas such as computer vision and NLP.

29. Applied Artificial Intelligence: Natural Language Processing

  • Offered by: Future Learn, Cloud Swyft

  • Duration: 3 Weeks

  • Learning Format: Online

  • Skills Covered: NLP, Deep Learning, Neural models, Statistical Machine Translation, Deep Semantic Similarity Models (DSSM), Vision-Language Multimodal Intelligence

  • Fees: Not Available

  • Source: Course Link

This course focuses on applying AI techniques to natural language processing, covering deep learning models and statistical methods.

30. Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems

  • Offered by: Future, University of New York

  • Duration: 3 Weeks

  • Learning Format: Online

  • Skills Covered: Machine Learning, Deep Learning, Computer Vision, Deep Learning, Autonomous Systems, Ethics of machine learning

  • Fees: Not Available

  • Source: Course Link

This introductory course covers deep learning and autonomous systems, emphasizing ethical considerations and real-world applications.

31. Introduction to Computer Vision and Image Processing

  • Offered by: Coursera, IBM

  • Duration: 21 hours

  • Learning Format: Online

  • Skills Covered: Image Processing, Artificial Intelligence (AI), Opencv, Computer Vision, Deep Learning

  • Fees: Not Available

  • Source: Course Link

This course provides a comprehensive introduction to computer vision and image processing using OpenCV and deep learning techniques.

32. First Principles of Computer Vision Specialization

  • Offered by: Coursera, Columbia University

  • Duration: 7 months

  • Learning Format: Online

  • Skills Covered: 3d reconstruction, perception, Object Recognition, features and boundaries, Camera and imaging

  • Fees: Not Available

  • Source: Course Link

A detailed specialization program that covers the fundamental principles of computer vision, including 3D reconstruction and object recognition.

33. Computer Vision Basics

  • Offered by: Coursera, University at Buffalo

  • Duration: 3 Weeks

  • Learning Format: Online

  • Skills Covered: Computer Vision, Computer Programming, Matlab

  • Fees: Not Available

  • Source: Course Link

An introductory course focusing on the basics of computer vision, with practical programming applications in Matlab.

34. Advanced Computer Vision with TensorFlow

  • Offered by: Coursera, DeepLearning.AI

  • Duration: 19 hours

  • Learning Format: Online

  • Skills Covered: Salience, Image Segmentation, Model Interpretability, Class Activation Maps, TensorFlow Object Detection API

  • Fees: Not Available

  • Source: Course Link

This advanced course covers computer vision techniques using TensorFlow, focusing on model interpretability and image segmentation.

35. Computer Vision for Engineering and Science Specialization

  • Offered by: Coursera, Mathworks

  • Duration: 1 month

  • Learning Format: Online

  • Skills Covered: Image Processing, Computer Vision, Object Detection, Matlab, image classification

  • Fees: Not Available

  • Source: Course Link

A specialization program that focuses on computer vision applications in engineering and science, covering key techniques and tools.

36. Computer Vision with Embedded Machine Learning

  • Offered by: Coursera, Impulse

  • Duration: 3 Weeks

  • Learning Format: Online

  • Skills Covered: Computer Programming, Python Programming, Machine Learning, Microcontroller, Embedded System Development

  • Fees: Not Available

  • Source: Course Link

This course explores the intersection of computer vision and embedded systems, focusing on practical applications using Python and machine learning.

37. Convolutional Neural Networks

  • Offered by: Coursera, DeepLearning.AI

  • Duration: 35 hours

  • Learning Format: Online

  • Skills Covered: Facial Recognition System, Tensorflow, Convolutional Neural Network, Deep Learning, Object Detection and Segmentation

  • Fees: Not Available

  • Source: Course Link

A comprehensive course on convolutional neural networks, covering practical applications in facial recognition and object detection.

38. Computer Vision Engineer Professional Certificate

  • Offered by: Coursera, Mathworks

  • Duration: 2 months

  • Learning Format: Online

  • Skills Covered: Image Processing, Image Segmentation, Computer Vision, Object Detection, Deep Learning, MATLAB, Image Classification, Video Processing

  • Fees: Not Available

  • Source: Course Link

A professional certificate program aimed at training computer vision engineers, covering a wide range of techniques and tools using MATLAB.

39. Deep Learning for Computer Vision Specialization

  • Offered by: Coursera, Mathworks

  • Duration: 1 month

  • Learning Format: Online

  • Skills Covered: Anomaly Detection, Artificial Intelligence (AI), Computer Vision, Object Detection, Deep Learning, classification, Matlab

  • Fees: Not Available

  • Source: Course Link

This specialization program covers deep learning applications in computer vision, focusing on techniques like anomaly detection and object detection.

40. Computer Vision in Microsoft Azure

  • Offered by: Coursera, Microsoft

  • Duration: 8 hours

  • Learning Format: Online

  • Skills Covered: Artificial Intelligence (AI), Computer Vision, Microsoft Azure

  • Fees: Not Available

  • Source: Course Link

A short course that covers computer vision techniques using Microsoft Azure, ideal for those looking to leverage cloud services for AI applications.

41. Image Processing for Engineering and Science Specialization

  • Offered by: Coursera, Mathworks

  • Duration: 1 month

  • Learning Format: Online

  • Skills Covered: Image Processing, Image Segmentation, Object Detection, Matlab, video processing

  • Fees: Not Available

  • Source: Course Link

This specialization focuses on image processing applications in engineering and science, covering key techniques and tools using Matlab.

42. Deep Learning with PyTorch: Image Segmentation

  • Offered by: Coursera

  • Duration: 2 hours

  • Learning Format: Online

  • Skills Covered: Convolutional Neural Network, Python Programming, Autoencoder, Mathematical Optimization, PyTorch

  • Fees: Not Available

  • Source: Course Link

A short project-based course that covers image segmentation using PyTorch, ideal for those looking to gain hands-on experience in a short amount of time.

43. Build a computer vision app with Azure Cognitive Services

  • Offered by: Coursera

  • Duration: 2 hours

  • Learning Format: Online

  • Skills Covered: Artificial Intelligence (AI), Software Development, APIs, Cloud Computing

  • Fees: Not Available

  • Source: Course Link

A practical course focused on building a computer vision application using Azure Cognitive Services, providing a hands-on approach to learning.

44. Object Tracking and Motion Detection with Computer Vision

  • Offered by: Coursera, Mathworks

  • Duration: 13 hours

  • Learning Format: Online

  • Skills Covered: Computer Vision, Object Detection, Motion Detection, Optical Flow, Tracking

  • Fees: Not Available

  • Source: Course Link

This course covers object tracking and motion detection techniques in computer vision, ideal for those interested in video analytics and surveillance applications.

The field of Computer Vision and Deep Learning is rich with opportunities for learning and growth. Whether you are a beginner or an advanced learner, there is a course tailored to your needs. From comprehensive bootcamps to specialized courses, the options provided in this article offer a wide range of skills and applications to help you advance in this exciting field.

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