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.

Vanderbilt University
Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, File I/O, Matlab, Algorithms, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Digital Signal Processing, Mathematical Software, Computer Programming, Histogram, Predictive Modeling, AI Personalization, Data Processing, Data Analysis, Programming Principles
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, JSON, Model Deployment, Applied Machine Learning, Javascript, Artificial Neural Networks, Data Processing, Real Time Data, Web Applications, Machine Learning, Data Transformation
Intermediate · Course · 1 - 4 Weeks
Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, LangChain, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Prompt Engineering, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Transfer Learning, Model Evaluation, Development Environment, Natural Language Processing, Vector Databases
Intermediate · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Microsoft Azure, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Natural Language Processing, Application Programming Interface (API)
Advanced · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Image Analysis, AWS SageMaker, Responsible AI, Natural Language Processing, Generative AI, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, OpenAI, Amazon Bedrock, Robotic Process Automation, Cloud Deployment, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods
Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Platforms, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Software Engineering, Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Cloud API, Google Cloud Platform, Machine Learning
Intermediate · Specialization · 3 - 6 Months
University of Maryland, College Park
Skills you'll gain: AI Personalization, Responsible AI, Deep Learning, Forecasting, Business Leadership, Risk Management, Business Analytics, Machine Learning, Analytics, Artificial Intelligence, Marketing Analytics, Applied Machine Learning, Customer Analysis, Supply Chain Management, Data-Driven Decision-Making, Big Data, People Analytics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Model Deployment, Cloud Infrastructure, AI Orchestration, Infrastructure Architecture, Data Infrastructure, Devops Tools, IT Infrastructure, Information Technology Operations, Deep Learning, Network Infrastructure, Hardware Architecture, Machine Learning, Data Centers, Computer Architecture
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Mixed · Course · 1 - 3 Months