Pattern Recognition Courses
Pattern recognition courses can help you learn techniques for data classification, feature extraction, and image analysis. You can build skills in statistical modeling, machine learning algorithms, and neural network design. Many courses introduce tools like Python libraries such as TensorFlow and scikit-learn, which are used to implement these techniques in projects involving AI and artificial intelligence applications.
Popular Pattern Recognition Courses and Certifications
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
Status: Free TrialColumbia University
Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components
Status: Free TrialStatus: AI skillsGoogle
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, AI Security, Gemini, AI Enablement, Google Workspace, Productivity Software, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Model Evaluation, AI Workflows, Workplace inclusivity, Social Impact, Operational Efficiency, Human Factors, Critical Thinking, Analysis, Data Security, Natural Language Processing
What brings you to Coursera today?
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Predictive Analytics, Big Data, Anomaly Detection
Status: NewStatus: Free TrialSkills you'll gain: Serverless Computing, Computer Vision, Image Analysis, Amazon Web Services, AI Enablement, Amazon S3, AWS Identity and Access Management (IAM), Text Mining, Data Processing, Unstructured Data
Status: Free TrialMathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Embeddings, Supervised Learning, Keras (Neural Network Library), Machine Learning, Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
Status: Free TrialSkills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Deep Learning, Matlab, Machine Learning Methods, Convolutional Neural Networks, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Transfer Learning, Geospatial Information and Technology, Traffic Flow Optimization, Medical Imaging, Data Validation, Estimation, Algorithms
Status: NewStatus: Free TrialSkills you'll gain: Adobe Photoshop, Journals, Design Thinking, Layout Design, Software Design Patterns, Creative Design, Design Elements And Principles, Graphic and Visual Design Software, Creativity, Design Strategies, Graphic and Visual Design, Design, Digital Design
In summary, here are 10 of our most popular pattern recognition courses
- Introduction to Computer Vision and Image Processing:Â IBM
- Pattern Discovery in Data Mining:Â University of Illinois Urbana-Champaign
- IBM AI Engineering:Â IBM
- Computer Vision:Â University of Colorado Boulder
- First Principles of Computer Vision:Â Columbia University
- Google AI Essentials:Â Google
- Data Mining:Â University of Illinois Urbana-Champaign
- Master AWS Rekognition: Analyze, Detect, and Automate:Â EDUCBA
- Deep Learning for Computer Vision:Â MathWorks
- Deep Learning:Â DeepLearning.AI
