Feature Engineering Courses
Feature engineering courses can help you learn techniques for transforming raw data into meaningful features, selecting relevant variables, and creating new features to improve model performance. You can build skills in data preprocessing, handling missing values, and using domain knowledge to enhance feature sets.
Popular Feature Engineering Courses and Certifications
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Optimization, Dataflow, Tensorflow, Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Applied Machine Learning, Data Modeling, Data Store, Real Time Data, Machine Learning
Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Machine Learning Algorithms, Classification Algorithms, Design Thinking, Python Programming
Skills you'll gain: Terraform, Git (Version Control System), Containerization, Incident Management, Site Reliability Engineering, Infrastructure as Code (IaC), Cloud-Native Computing, Version Control, Prometheus (Software), Grafana, Kubernetes, DevSecOps, Devops Tools, CI/CD, DevOps, Docker (Software), Microservices, Incident Response, Cloud Infrastructure, Multi-Cloud
Coursera
Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Transformation, Data Processing, Data Store, Keras (Neural Network Library), Machine Learning Methods, Statistical Machine Learning, Data Modeling, Classification Algorithms, Machine Learning, Python Programming, Statistical Methods
Skills you'll gain: Feature Engineering, Data Preprocessing, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Processing, Data Pipelines, Data Transformation, Amazon Web Services, Data Wrangling, Responsible AI, Data Quality, Data Integrity, Data Validation, Model Training, Personally Identifiable Information
What brings you to Coursera today?
Coursera
Skills you'll gain: Embedded Software, Real-Time Operating Systems, Embedded Systems, Software Architecture, Code Reusability, Pseudocode, Microarchitecture, Memory Management, Systems Architecture, Computer Hardware, System Programming, Computer Architecture, Software Design, Cross Platform Development, Software Systems, Hardware Architecture, Systems Design, Software Design Patterns, Internet Of Things, Hardware Troubleshooting
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Optimization, Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Model Training, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Model Optimization, Data Processing, Data Store, Data Pipelines, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Machine Learning
LearnKartS
Skills you'll gain: Agentic systems, Model Context Protocol, Vector Databases, Gemini, Generative AI Agents, Google Gemini, Retrieval-Augmented Generation, Artificial Intelligence, Generative AI, Embeddings, MongoDB, Node.JS, API Design, TypeScript, PostgreSQL, Web Applications, Systems Architecture, Database Management, Debugging, Machine Learning
Skills you'll gain: Software Development Life Cycle, Software Architecture, Full-Stack Web Development, Software Design, Web Design and Development, Web Development, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Computer Programming Tools, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Web Language, Python Programming
Dassault Systèmes
Skills you'll gain: Computer Aided Three-Dimensional Interactive Application (CATIA), Drafting and Engineering Design, Mechanical Design, Engineering Drawings, Issue Tracking, Technical Drawing, 3D Modeling, Computer-Aided Design, Assembly Drawing, Collaborative Software, Document Management, Mechanical Engineering, Product Lifecycle Management, Product Engineering, Microsoft Office, Workflow Management, Innovation, Shared Media, Driving engagement, Design Software
In summary, here are 10 of our most popular feature engineering courses
- Feature Engineering:Â Google Cloud
- AI Workflow: Feature Engineering and Bias Detection:Â IBM
- DevOps & Site Reliability Engineering Mastery Certification:Â Simplilearn
- Deep Learning Engineering:Â Coursera
- Feature Engineering en Español: Google Cloud
- AWS: Feature Engineering Data Transformation & Integrity :Â Whizlabs
- Embedded Firmware Engineering:Â Coursera
- LLM Engineering That Works: Prompting, Tuning, and Retrieval:Â Coursera
- Feature Engineering - Italiano:Â Google Cloud
- Agentic AI Engineering: RAG, MCP & MERN:Â LearnKartS
