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.
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
★ 4.6 (1.5K) · Advanced · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Dimensionality Reduction
★ 3.7 (12) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, LLM Application, Cloud Computing, Cloud Solutions, Generative Model Architectures, AI Enablement, Model Deployment, Cloud Infrastructure, Cloud Computing Architecture, AI Orchestration, Infrastructure Architecture, AI Workflows, Data Infrastructure, Artificial Neural Networks, Machine Learning
★ 4.6 (485) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Machine Learning, Model Training, Applied Machine Learning, Natural Language Processing, Performance Tuning
Advanced · Course · 1 - 3 Months

Packt
Skills you'll gain: Generative AI, OpenAI, AI Workflows, Data Pipelines, Semantic Web, Deep Learning, Scalability, Artificial Intelligence, Natural Language Processing, Machine Learning, Data Science
Advanced · Course · 1 - 3 Months

Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Fine-tuning, Prompt Patterns, Model Deployment, Model Training, Generative Model Architectures, Model Optimization, Natural Language Processing, Enterprise Architecture, Machine Learning, Software Design Patterns, Cloud API, API Design
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Image Analysis, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms
★ 4.4 (58) · Intermediate · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Model Training, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Generative AI, Classification Algorithms, Forecasting, Machine Learning
★ 4.7 (25K) · Intermediate · Professional Certificate · 3 - 6 Months

The University of Edinburgh
Skills you'll gain: Precision Medicine, Bioinformatics, Biostatistics, Image Analysis, Medical Imaging, Process Modeling, Data Science, Applied Machine Learning, Data Ethics, Health Informatics, Machine Learning Methods, Statistical Modeling, Network Model, Statistical Methods, Data Analysis, Machine Learning, Natural Language Processing, Probability & Statistics, Clinical Documentation, Python Programming
★ 4.6 (341) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm
Beginner · Course · 1 - 4 Weeks