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: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Universitat Politècnica de València
Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Statistical Methods, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Deployment, Federated Learning, Tensorflow, Transfer Learning, Model Evaluation, Machine Learning, Information Privacy, Application Programming Interface (API), Artificial Neural Networks, Data Visualization
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Data Storytelling, Data Governance, Marketing Analytics, Data Visualization, Data Literacy, Accounting, Infographics, Data Management, Data Collection, Data Quality, Data Visualization Software, Internal Controls, Classification Algorithms, Business Analytics, Business Analysis, AI Personalization, Analytics, Data Analysis, Power BI, Machine Learning
Build toward a degree
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Model Deployment, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Other Programming Languages, Version Control, Python Programming, Open Source Technology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation
Beginner · Course · 1 - 4 Weeks

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

LearnQuest
Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Model Evaluation, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks