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: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months

John Wiley & Sons
Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication
Intermediate · Course · 3 - 6 Months

University of Colorado System
Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Key Management, Advanced Encryption Standard (AES), Encryption, Cryptographic Protocols, Public Key Cryptography Standards (PKCS), Brute-force attacks, Authentications, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI
Intermediate · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Methods, Model Optimization, Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Model Training, Dimensionality Reduction, Machine Learning, Embeddings, Model Evaluation
Intermediate · Course · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, Cloud Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Delivery, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Mathematical Software, Algebra, Derivatives, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Thermal Management, Hydraulics, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Energy and Utilities, Mathematical Modeling, Differential Equations, Model Optimization, Physics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Google Cloud Platform, Exploratory Data Analysis, Business Metrics, Keras (Neural Network Library), Model Training, Data Preprocessing, Machine Learning Software, Model Evaluation, Data Quality, Logistic Regression, Machine Learning, Data Pipelines, Machine Learning Methods, Data Processing, Scikit Learn (Machine Learning Library), Performance Tuning, Dataflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Machine Learning Methods, Data Preprocessing, Data Wrangling, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, NumPy
Beginner · Course · 1 - 3 Months