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: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Tensorflow, Model Deployment, Big Data, Machine Learning, Model Evaluation, Natural Language Processing
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Business Analysis, Analytics, Data Preprocessing, Data Analysis, Data-Driven Decision-Making, Data Presentation, Python Programming
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Applied Behavior Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Model Deployment, Natural Language Processing
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, Big Data, Applied Machine Learning, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Model Evaluation, Data Presentation, SQL, Plot (Graphics), Databases, Data Manipulation, Web Scraping, R Programming
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, Cloud Infrastructure, MLOps (Machine Learning Operations), Big Data, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, AI Workflows, Machine Learning, Model Deployment, Model Evaluation, Natural Language Processing
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Data Preprocessing, MLOps (Machine Learning Operations), Workflow Management, AI Workflows, Data Governance, Data Management, Model Deployment, Data Lakes, Google Cloud Platform, Model Evaluation, Tensorflow, Data Pipelines, Machine Learning, Feature Engineering, Data Transformation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Development, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Natural Language Processing, Tensorflow, Machine Learning, Cloud Infrastructure, Data Preprocessing, Data Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months