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: Algorithms, Systems Analysis, Resource Utilization, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI Agents, Model Context Protocol, Retrieval-Augmented Generation, Generative Model Architectures, Model Deployment, Responsible AI, Load Balancing, Large Language Modeling, Containerization, AI Security, Docker (Software), Generative AI, Model Evaluation, Agentic systems, LangChain, Restful API, Cloud Deployment, Data Ethics, Data Validation, Image Quality
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: AI Enablement, Strategic Thinking, Technology Roadmaps, AI Workflows, Generative AI, Analysis
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, Cloud Applications, Application Deployment, AI Enablement, MLOps (Machine Learning Operations), Data Integration, Containerization, Data Storage Technologies, Machine Learning Methods, Performance Tuning, Scalability
Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Digital Transformation, Customer Insights, Machine Learning, Marketing Analytics, AI Enablement, Data-Driven Decision-Making, Applied Machine Learning, Financial Data, Customer experience improvement, Artificial Intelligence, Analytics, Retail Banking, Data Science, Information Privacy
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Data Processing, Solution Design, Process Mapping, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Algebra, General Mathematics, Arithmetic, Applied Mathematics, Geometry
Mixed · Course · 1 - 3 Months

Skills you'll gain: Debugging, Model Evaluation, Root Cause Analysis, Data Preprocessing, Software Visualization, Exploratory Data Analysis, Analysis, Performance Tuning, Performance Analysis, Quantitative Research
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Data Manipulation, Statistical Reporting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, Artificial Intelligence, Image Analysis, Natural Language Processing, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: iOS Development, Swift Programming, Apple iOS, Core Data (Software), Data Persistence, Test Driven Development (TDD), Mobile Development, Application Design, Application Deployment, Apple Xcode, Plot (Graphics), User Interface (UI), Data Store, Model View Controller, Machine Learning Software, Software Architecture, Performance Tuning, Database Development, Real Time Data, Data Integration
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Infrastructure, Tensorflow, Data Warehousing
Intermediate · Professional Certificate · 3 - 6 Months