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.
Georgia Institute of Technology
Skills you'll gain: Failure Analysis, Mechanical Design, Structural Analysis, Materials science, Engineering Analysis, Engineering Design Process, Mechanics, Biomedical Engineering, Problem Solving
Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Responsible AI, Microsoft Copilot, Generative AI, AI Enablement, Training and Development, Instructional Design, ChatGPT, Productivity Software, Training Programs, Prompt Engineering, Learning Management Systems, Innovation, Case Studies, Leadership Development, Automation
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Course Development, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Theory, User Experience Design, Design Thinking, Education Software and Technology, Professional Development, Brainstorming, Design, Needs Assessment, Content Creation, Motivational Skills, Diversity Equity and Inclusion Initiatives, User Centered Design, Prototyping, Design Strategies, Creative Thinking
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Python Programming, Linear Algebra, Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Preprocessing, Data Processing, Extract, Transform, Load, Predictive Modeling, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Data Preprocessing
Beginner · Course · 1 - 4 Weeks
CertNexus
Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Science, Python Programming, Statistical Methods, Exploratory Data Analysis, Linear Algebra
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Trend Analysis, Data Visualization, Customer Demand Planning, Machine Learning, Data Science, Data Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
Intermediate · Professional Certificate · 3 - 6 Months