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.

Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, AI Workflows, Predictive Modeling, Artificial Intelligence, Responsible AI, Model Deployment
Beginner · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking
Advanced · Specialization · 3 - 6 Months

DeepLearning.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
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

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

DeepLearning.AI
Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning
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, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Artificial Neural Networks, Generative AI, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Data Preprocessing, Forecasting, Machine Learning
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Data Ethics, Machine Learning, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Large Language Modeling, Natural Language Processing, Model Evaluation, Reinforcement Learning, Machine Learning, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, AI Enablement, Artificial Intelligence, Data Ethics, Responsible AI, Cloud Solutions, Data Quality, Machine Learning, Applied Machine Learning, Solution Design, Model Deployment, Natural Language Processing, Computer Vision
Beginner · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, LLM Application, Machine Learning, Natural Language Processing, Innovation, Critical Thinking
Beginner · Course · 1 - 4 Weeks