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: Feature Engineering, Databricks, Data Engineering, PySpark, Data Lakes, Apache Airflow, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), Data Architecture, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Storage, Python Programming, Artificial Intelligence, Machine Learning, SQL, Machine Learning Algorithms, Warehouse Management
Beginner · Specialization · 1 - 3 Months

Whizlabs
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Service Level Agreement, Performance Stress Testing, Performance Measurement, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, NumPy, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, Development Testing, Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming, Software Design
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Splunk, Anomaly Detection, Dashboard Creation, Statistical Reporting, Real Time Data, Data Analysis, Data Visualization Software, System Configuration, Analytical Skills, Data Processing, Data Cleansing, Distributed Computing, Data Import/Export, Configuration Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization
Beginner · Specialization · 1 - 3 Months

MathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Matlab, Fine-tuning, Data Preprocessing, Software Visualization, Transfer Learning, Model Optimization, Data Analysis, Network Architecture
Beginner · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Systems Development, Solution Architecture, Machine Learning Methods, Model Training, Model Evaluation, Agentic systems, Artificial Neural Networks, Machine Learning, Model Optimization, Machine Learning Algorithms, Markov Model, Feature Engineering, Algorithms, Performance Tuning
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Data Engineering, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Python Programming
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
Intermediate · Guided Project · Less Than 2 Hours