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.

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Analysis, Analytics, Data Literacy, Correlation Analysis, Applied Machine Learning, Data Visualization, Machine Learning
Mixed · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Technical Management, Decision Intelligence, AI Product Strategy, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Model Optimization, Test Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Embeddings, Statistical Visualization, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Data Manipulation, Model Optimization, Machine Learning Methods, Pivot Tables And Charts, Linear Algebra, Text Mining, Classification Algorithms, Markov Model, Unsupervised Learning, Data Preprocessing, Dimensionality Reduction, Python Programming
Beginner · Specialization · 3 - 6 Months
University of London
Skills you'll gain: Applied Machine Learning, Model Evaluation, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Machine Learning Methods, Computer Vision, AI literacy, Image Analysis, Feature Engineering, Data Literacy
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Optimization, Deep Learning, Tensorflow, Model Evaluation, Model Training, Applied Machine Learning, Artificial Neural Networks, Performance Tuning, Test Data, Machine Learning, Debugging, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Hive, Apache Mahout, NoSQL, Apache Hadoop, Extract, Transform, Load, Big Data, Data Warehousing, Data Pipelines, Data Infrastructure, Application Deployment, Databases, SQL, Applied Machine Learning, Database Development, Performance Tuning, Data Processing, File Systems, Real Time Data, Query Languages, Database Management
Beginner · Specialization · 3 - 6 Months

Illinois Tech
Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Preprocessing, Data Processing, Model Training, Correlation Analysis, Decision Tree Learning, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

AI CERTs
Skills you'll gain: Decision Intelligence, Applied Machine Learning
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Transfer Learning, Decision Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Model Training, Technical Management, Machine Learning, Applied Machine Learning, Machine Learning Methods, Model Evaluation, Deep Learning, Model Optimization, Debugging, Analysis
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Training, Model Optimization, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Risk Modeling, Decision Tree Learning, Credit Risk, Model Training, Predictive Analytics, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Analysis, Data-Driven Decision-Making, Model Optimization, Applied Machine Learning, Machine Learning Methods
Mixed · Course · 1 - 4 Weeks