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: Retrieval-Augmented Generation, AI Workflows, Fine-tuning, Model Deployment, Applied Machine Learning, Application Deployment, API Testing, Model Optimization
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Looker (Software), Google Cloud Platform, SQL, Data Integrity, Dashboard, Applied Machine Learning, Data Visualization Software, Data Validation, Big Data, Dashboard Creation, Data Cleansing, Machine Learning, Data Access, Query Languages, Analytics, Data Quality, Data Transformation, Public Cloud, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

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

Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Bayesian Statistics, Classification And Regression Tree (CART), Statistical Machine Learning, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis, Predictive Modeling, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Wrangling, Data Import/Export, Data Transformation, Predictive Modeling, Applied Machine Learning, Predictive Analytics, Statistical Methods, Regression Analysis, Model Training, Model Optimization, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: AI Personalization, Amazon Web Services, Personalized Campaigns, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Classification And Regression Tree (CART), Model Evaluation, Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Data-Driven Decision-Making, Marketing Analytics, Data-Driven Marketing, Classification Algorithms, Model Optimization, Model Training, Marketing, Fine-tuning
Mixed · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, Applied Machine Learning, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning
Mixed · Course · 1 - 3 Months

Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, Hugging Face, Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Transfer Learning, Agentic Workflows, Data Preprocessing, Generative AI Agents, Model Training, Large Language Modeling, Image Analysis, Rust (Programming Language), Model Optimization, AI Orchestration
Beginner · Specialization · 3 - 6 Months