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.

DeepLearning.AI
Skills you'll gain: Transfer Learning, Debugging, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Machine Learning, Model Evaluation, Estimation, Performance Tuning
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Unsupervised Learning, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation, Statistical Methods, Algorithms, Data Structures, Data Visualization
Mixed · Course · 1 - 3 Months
Coursera
Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Infrastructure Security, Security Controls, Threat Modeling, Model Deployment, Model Evaluation, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Containerization, Engineering
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Data Lakes, Google Cloud Platform, Data Pipelines, Dataflow, Apache Spark, Apache Kafka, Big Data, Tensorflow, Data Warehousing, Apache Hadoop, Data Architecture, Data Management, Metadata Management, Unstructured Data, Applied Machine Learning, Real Time Data, Extract, Transform, Load, Data Migration, Data Processing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Programmable Logic Controllers, Electrical Wiring, Computational Logic, Control Systems, Automation, Simulation and Simulation Software, Human Machine Interfaces, Communication Systems, Applied Mathematics
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Data Mapping, Root Cause Analysis, Performance Metric, Performance Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Data Ethics, Organizational Strategy, AI Enablement, Artificial Intelligence, Strategic Leadership, Cross-Functional Collaboration, Governance, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Business Ethics, Technology Roadmaps, Data Governance, Enterprise Architecture, Organizational Structure, Strategic Prioritization, Scalability, Risk Analysis, Business Risk Management
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics
Intermediate · Specialization · 3 - 6 Months

University of California, Davis
Skills you'll gain: Data Governance, Presentations, SQL, Apache Spark, Distributed Computing, Data Management, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Quality, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Data Analysis, Complex Problem Solving, Data Visualization
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation
Intermediate · Course · 1 - 3 Months