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
Skills you'll gain: Serverless Computing, Computer Vision, Image Analysis, Amazon Web Services, AI Enablement, Amazon S3, AWS Identity and Access Management (IAM), Text Mining, Data Processing, Unstructured Data
Skills you'll gain: AI Security, Responsible AI, Information Privacy, Cloud Security, Google Cloud Platform, Data Security, Artificial Intelligence and Machine Learning (AI/ML), Data Governance, Identity and Access Management, Encryption
Coursera
Skills you'll gain: Financial Reporting, Technical Accounting, Accounting, Generally Accepted Accounting Principles (GAAP), Investments, Balance Sheet, Case Studies, Financial Accounting, Financial Statements, Securities (Finance), Financial Regulation, Compliance Reporting
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage Technologies, Data Storage, Data Processing, Data Quality
Skills you'll gain: Salesforce Development, Salesforce, CI/CD, Software Architecture, Solution Architecture, Continuous Deployment, Systems Architecture, Continuous Integration, Code Review, Relational Databases, Integration Testing, Software Technical Review, Software Design, Software Design Patterns, Database Design, Maintainability, Enterprise Architecture, Diagram Design, System Design and Implementation, Scalability
Skills you'll gain: Autodesk Maya, Cinematography, Post-Production, Virtual Environment, 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Adobe Photoshop
Google Cloud
Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Preprocessing, Development Environment
Skills you'll gain: Web Development Tools, Typography
Skills you'll gain: API Design, Query Languages, Business Logic, Software Architecture
Universidad de los Andes
Skills you'll gain: Social Network Analysis, Data Presentation, Systems Thinking, Unsupervised Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Computer Vision, Predictive Modeling, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Logistic Regression, Cash Flows, Descriptive Analytics, Marketing Analytics, Strategic Decision-Making, Transfer Learning, Simulation and Simulation Software, Dashboard
In summary, here are 10 of our most popular applied machine learning courses
- Master AWS Rekognition: Analyze, Detect, and Automate: EDUCBA
- Responsible AI for Developers: Privacy & Safety - 简体中文: Google Cloud
- Ethics and Safety in Open AI: Coursera
- Master Repo Accounting: Analyze & Apply Key Principles: EDUCBA
- MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
- Salesforce Anti-Patterns: Packt
- Cinematic Lighting in Maya: Advanced Scenes & Projects: Skillshare
- Vertex AI でノートブックを使用する: Google Cloud
- Hybrid Cloud Capstone Project : IBM
- CSS Modern Responsive Web Design – Build 5 Websites: Packt
