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
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Transfer Learning, 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: Free TrialJohns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
Status: Free TrialSkills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Deep Learning, Matlab, Convolutional Neural Networks, Data Preprocessing, Machine Learning Methods, Machine Learning, Classification Algorithms, Machine Learning Algorithms, Transfer Learning, Geospatial Information and Technology, Traffic Flow Optimization, Medical Imaging, Data Validation, Estimation, Artificial Intelligence and Machine Learning (AI/ML), Algorithms
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, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
Status: Free TrialStanford University
Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Unstructured Data, Health Care, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence
Status: Free TrialSkills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Machine Learning Software, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Robotics, Business Logic, Deep Learning, Data Science
Status: NewStatus: Free TrialStatus: AI skillsDeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
Status: Free TrialSkills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Infographics, Storyboarding, Canva (Software), Prompt Engineering, Copywriting, Generative AI, Content Creation, Marketing Strategies, Blogs, Collaborative Software, AI Enablement, ChatGPT, MarTech, Graphic Design, Multimedia, Graphic and Visual Design, Brand Awareness, Artificial Intelligence, Search Engine Optimization, Machine Learning
Status: Free TrialSkills you'll gain: Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Text Mining, Microsoft Development Tools, Unsupervised Learning, Cloud Deployment, Data Storage Technologies, Natural Language Processing, Continuous Deployment, Computer Vision, Cloud Computing, Machine Learning
In summary, here are 10 of our most popular pattern recognition courses
- IBM AI Engineering:Â IBM
- Foundations of Neural Networks:Â Johns Hopkins University
- Computer Vision for Engineering and Science:Â MathWorks
- Deep Learning:Â DeepLearning.AI
- AI in Healthcare:Â Stanford University
- Microsoft Azure AI Fundamentals AI-900 Exam Prep:Â Microsoft
- AI Foundations for Everyone:Â IBM
- PyTorch for Deep Learning:Â DeepLearning.AI
- Foundations of Machine Learning:Â Coursera
- What is Data Science? :Â IBM
