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
Amazon Web Services
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Cloud Security, Cloud Computing Architecture, Serverless Computing, Cloud Storage, Databases, Virtual Networking, General Networking, Containerization
Stanford University
Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning
Skills you'll gain: Machine Learning Methods, Motion Graphics
Skills you'll gain: Risk Modeling, Financial Systems, Responsible AI, Safety Culture, FinTech
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
Google
Skills you'll gain: AI Security, Workplace inclusivity, Social Impact, Generative AI, Analysis, Critical Thinking, Data Security
Skills you'll gain: Responsible AI, Anomaly Detection, Microsoft Azure, Artificial Intelligence, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Natural Language Processing, Machine Learning, Text Mining
Coursera
Skills you'll gain: Stakeholder Communications, Stakeholder Analysis, Data Presentation, Data Analysis, Exploratory Data Analysis, Business Communication, Model Evaluation, Responsible AI, Statistical Methods
Vanderbilt University
Skills you'll gain: Claude Code, Prompt Engineering, Model Context Protocol, ChatGPT, Prompt Patterns, Anthropic Claude, AI Workflows, Ideation, Verification And Validation, Prompt Engineering Tools, LLM Application, Generative AI Agents, Multimodal Prompts, Agentic Workflows, AI Orchestration, AI Enablement, Generative AI, Agentic systems, AI Security, Artificial Intelligence and Machine Learning (AI/ML)
University of London
Skills you'll gain: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives
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In summary, here are 10 of our most popular applied machine learning courses
- AWS Cloud Technical Essentials:Â Amazon Web Services
- Introduction to Mathematical Thinking:Â Stanford University
- Analyze Video Data Using OpenCV and Python:Â EDUCBA
- Analyze Financial Risk Using AI, Markets, and Governance:Â EDUCBA
- Preparing for Google Cloud Certification: Cloud Data Engr:Â Google Cloud
- Use AI Responsibly:Â Google
- Artificial Intelligence on Microsoft Azure:Â Microsoft
- Optimize ML Models: Hyperparameter Tuning :Â Coursera
- Explain Black-Box Models:Â Coursera
- AI Agents with Model Context Protocol & Typescript:Â Vanderbilt University
