Applied Machine Learning Courses
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.
Popular Applied Machine Learning Courses and Certifications
Alberta Machine Intelligence Institute
Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Data Collection, Supervised Learning, Business Requirements, Unsupervised Learning, Artificial Intelligence
University of Glasgow
Skills you'll gain: NumPy, Generative AI, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), LLM Application, Deep Learning, Python Programming, Prompt Engineering, Feature Engineering, Operations Research, Dimensionality Reduction, Algorithms, Object Oriented Programming (OOP), Mathematical Modeling, Matplotlib, Data Structures, Unit Testing, Data Visualization, Performance Analysis
Chegg Skills
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Business Analytics, Analytics, Responsible AI, Data Ethics, Data Literacy, Business Intelligence, ChatGPT, AI Workflows, Descriptive Analytics, Productivity, AI literacy, Data Analysis, Generative AI, Data-Driven Decision-Making, Data Visualization, Artificial Intelligence, Critical Thinking, Problem Solving
Skills you'll gain: NumPy, Jupyter, Applied Machine Learning, Tensorflow, Machine Learning Methods, Machine Learning, Machine Learning Software, Development Environment, Package and Software Management, Python Programming, Numerical Analysis, Linux, Environment
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Analysis, Machine Learning Methods, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Regression Analysis
Edureka
Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, Unsupervised Learning, Predictive Modeling, Bayesian Statistics, Model Training, Logistic Regression, Deep Learning, Decision Tree Learning, Statistical Machine Learning, Transfer Learning, Application Development, Statistical Inference, Model Optimization
Board Infinity
Skills you'll gain: Anomaly Detection, Feature Engineering, Fraud detection, Unsupervised Learning, Continuous Monitoring, Autoencoders, MLOps (Machine Learning Operations), Machine Learning Methods, Model Training, Applied Machine Learning, Model Deployment, Statistical Analysis, Taxonomy
Macquarie University
Skills you'll gain: Fraud detection, Threat Detection, Malware Protection, Cyber Security Assessment, AI Security, Network Security, Machine Learning, Machine Learning Algorithms, Security Management, Data Preprocessing, Unsupervised Learning, Feature Engineering, Deep Learning, Classification Algorithms, Analytical Skills
Skills you'll gain: Feature Engineering, Applied Machine Learning, Model Evaluation, Interviewing Skills, Model Training, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Predictive Analytics, Technical Communication, Classification Algorithms
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, Plot (Graphics), Exploratory Data Analysis, Model Evaluation, Interactive Data Visualization, Data Cleansing, Data Preprocessing, Data Analysis, Python Programming, Data Science, NumPy, Machine Learning
