Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.
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, Classification Algorithms, Predictive Modeling, Forecasting, Machine Learning
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Decision Intelligence, Data Ethics, Data-Driven Decision-Making, Agentic systems
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Plot (Graphics), Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, AI Personalization, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Statistical Methods, Machine Learning, Applied Machine Learning, Digital Signal Processing, Statistical Inference
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Data Presentation, Statistical Analysis, Statistical Methods, Statistical Visualization, Data Preprocessing, Descriptive Statistics, Probability & Statistics, Data Analysis, Data Visualization Software, Data-Driven Decision-Making, Bayesian Statistics, Applied Machine Learning, Scatter Plots, Scripting, Python Programming, Data Processing, Machine Learning Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Natural Language Processing, Large Language Modeling, Fine-tuning, Model Evaluation, Recurrent Neural Networks (RNNs), Data Ethics, Responsible AI, Text Mining, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Applied Machine Learning, Data Processing, Machine Learning, Data Analysis, Data Cleansing
Intermediate · Specialization · 3 - 6 Months
University of London
Skills you'll gain: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Data Literacy, Machine Learning Algorithms, AI literacy, Responsible AI, Data Collection
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Forecasting, Data Processing, Anomaly Detection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning Methods, Machine Learning, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks