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
Skills you'll gain: Model Optimization, Machine Learning Methods, Model Training, Hugging Face, Classification Algorithms
DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Evaluation, Machine Learning, Applied Machine Learning
University of Michigan
Skills you'll gain: Decision Making, Systems Thinking, Problem Solving, Self-Awareness, Cost Benefit Analysis
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Exploratory Data Analysis, Statistical Visualization
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Applied Machine Learning, Computational Logic, Machine Learning, Logical Reasoning, Unsupervised Learning, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Problem Solving, Systems Design
John Wiley & Sons
Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Data Science, Logistic Regression, Data Preprocessing, Embeddings
University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Machine Learning Algorithms, Machine Learning, Python Programming, Computational Thinking
Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis
Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
Skills you'll gain: Calculus, Integral Calculus, Model Optimization, Mathematical Software, Applied Mathematics, NumPy, Programming Principles, Mathematical Modeling, Machine Learning Methods, Python Programming, Mathematical Theory & Analysis, Graphing, Data Science, Derivatives
DeepLearning.AI
Skills you'll gain: Linear Algebra, Dimensionality Reduction, Applied Mathematics, Machine Learning, Python Programming, Algebra
Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Embedded Systems, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Deep Learning, Responsible AI, Model Deployment, Convolutional Neural Networks, Computer Programming
