Object detection courses can help you learn image processing, feature extraction, and classification techniques. You can build skills in implementing algorithms like YOLO and SSD, as well as understanding metrics for evaluating model performance. Many courses introduce tools such as TensorFlow and OpenCV, showing how these technologies facilitate the development of AI applications that identify and locate objects in images and videos.

Skills you'll gain: Image Analysis, Model Optimization, Quality Assurance, Quality Assessment, Packaging and Labeling, Verification And Validation, Unsupervised Learning, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API
★ 4.6 (549) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Mobile Development, Model Training, Mobile Development Tools, Fine-tuning, Model Deployment, Model Optimization, PyTorch (Machine Learning Library), Flask (Web Framework), Tensorflow, Application Deployment, AI Integrations, Cloud Deployment, Data Preprocessing, Development Environment, User Interface (UI) Design
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Transfer Learning, Model Training, Model Optimization, Image Quality, Computer Vision, Image Analysis, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Cyber Threat Intelligence, Cyber Threat Hunting, Threat Detection, Vulnerability Assessments, Incident Response, Security Information and Event Management (SIEM), Cybersecurity, Threat Management, Computer Security Incident Management, IT Security Architecture, Cloud Security, Security Architecture Review, Cyber Risk, Cyber Security Policies, Data Security, Network Security, Cyber Security Strategy, Malware Protection, Cyber Attacks, Risk Management
★ 4.7 (6) · Beginner · Specialization · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Mammography, Model Evaluation, Model Training, Artificial Intelligence, Bayesian Network, Image Analysis, AI Product Strategy, Machine Learning Methods, Oncology, Artificial Neural Networks, Medical Imaging, Machine Learning, Applied Machine Learning, Deep Learning, Epidemiology
★ 4.6 (81) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Computer Vision, Model Evaluation, Analysis, Failure Mode And Effects Analysis, Root Cause Analysis, Scientific Visualization, Data Visualization, Correlation Analysis, Quality Assurance, Statistical Reporting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Model Training, Data Transformation, NumPy, Color Theory
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Data Processing, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Data Ethics, Microsoft Excel, Generative AI, Excel Formulas, Responsible AI, Data Transformation, Linear Algebra, Feature Engineering, Digital Signal Processing
★ 4.6 (35) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Real Time Data, Model Training, Python Programming, Development Environment, Data Preprocessing, Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Application Deployment, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation
Mixed · Course · 1 - 4 Weeks