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: Feature Engineering, Data Cleansing, Statistical Inference, Data Preprocessing, Data Access, Statistical Methods, Data Quality, Probability & Statistics, Data Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Artificial Intelligence, Data Science, Data Transformation, Jupyter, Pandas (Python Package), Machine Learning, Box Plots, Scatter Plots, SQL
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Statistical Hypothesis Testing, Sampling (Statistics), Probability & Statistics, Bayesian Statistics, Probability Distribution, Probability, Statistical Machine Learning, Data Science, Statistical Methods, Statistics, A/B Testing, Model Evaluation, Statistical Inference, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Tensorflow, Model Deployment, Artificial Intelligence, Cloud Platforms, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Transfer Learning, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Applied Machine Learning, Large Language Modeling, Supervised Learning, PyTorch (Machine Learning Library), Hugging Face, Artificial Intelligence, Model Evaluation, Embeddings, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Engineering Analysis, Thermal Management, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Chemical Engineering, Scientific Visualization, Physics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Autoencoders, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Reinforcement Learning, Image Analysis, Artificial Neural Networks, Unsupervised Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Computer Vision, Model Evaluation
Intermediate · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Deep Learning, Feature Engineering, Algorithms, Artificial Neural Networks, Model Evaluation, Performance Testing, Markov Model, Pseudocode, Probability Distribution, Linear Algebra, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
Intermediate · Specialization · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Supervised Learning, Machine Learning, Feature Engineering, Data Analysis, Keras (Neural Network Library), Predictive Modeling, Tensorflow, Technical Communication, Python Programming, Statistical Analysis, Regression Analysis
Advanced · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
Build toward a degree
Beginner · Course · 1 - 3 Months

MathWorks
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Unsupervised Learning, Supervised Learning, Control Systems, Simulations
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Model Evaluation, Data Preprocessing, Machine Learning, Statistical Machine Learning, Data Mining, Algorithms
Intermediate · Course · 1 - 3 Months