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.

Northeastern University
Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Autoencoders, Model Training, Model Optimization, Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Simulation and Simulation Software, Computer Vision, Simulations, 3D Assets, 3D Modeling
Mixed Ā· Course Ā· 1 - 3 Months

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation
ā 4.9 (10) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Optimization, Calculus, Applied Mathematics, NumPy, Mathematical Software, Numerical Analysis, Machine Learning Algorithms, Tensorflow, Python Programming, Derivatives, Development Environment
Intermediate Ā· Course Ā· 1 - 3 Months

Coursera
Skills you'll gain: Data-Driven Marketing, Customer Retention, Email Automation, Marketing Automation, HubSpot CRM, Marketing Strategies, Customer Analysis, Marketing Analytics, Customer Relationship Management (CRM) Software, Target Audience, Email Marketing, Data-Driven Decision-Making, Customer Insights, Brand Loyalty, B2B Sales, Marketing Effectiveness, Data Cleansing, Lead Generation, Growth Strategies, E-Commerce
Intermediate Ā· Specialization Ā· 3 - 6 Months

Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation
Intermediate Ā· Course Ā· 1 - 3 Months

John Wiley & Sons
Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, DevOps, Model Training, Application Lifecycle Management, AI Workflows, Applied Machine Learning, Cloud Deployment, Automation, Cloud Platforms
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security
ā 3.7 (71) Ā· Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering
Intermediate Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
ā 4.4 (98) Ā· Advanced Ā· Course Ā· 1 - 4 Weeks

Board Infinity
Skills you'll gain: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Forecasting, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Financial Data, Predictive Modeling, Model Training, Generative AI, Risking, Time Series Analysis and Forecasting, Market Data, Regression Analysis, Data Preprocessing, Verification And Validation, Credit Risk
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Model Training, Generative Model Architectures, Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Presentation, Machine Learning Software, Prompt Engineering, Model Evaluation, Feature Engineering, Fine-tuning
Intermediate Ā· Course Ā· 1 - 3 Months