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
Status: Free TrialGoogle Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Model Evaluation, Data Pipelines, Keras (Neural Network Library), Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage
Status: Free TrialSkills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Model Deployment, Natural Language Processing, Debugging, Containerization, Kubernetes, Transfer Learning, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Applied Machine Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Tensorflow, Cloud Computing, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, Data Preprocessing, AWS SageMaker, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Pipelines, Data Transformation, Amazon Web Services, Responsible AI, Data Quality, Data Integrity, Amazon S3, Personally Identifiable Information, Data Security
Status: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
Status: Free TrialScrimba
Skills you'll gain: Model Context Protocol, Prompt Engineering, Retrieval-Augmented Generation, LangChain, OpenAI API, Embeddings, Image Analysis, Responsible AI, AI Workflows, LLM Application, Cloud Deployment, Cloud Applications, Multimodal Prompts, Hugging Face, Generative AI, Application Deployment, OpenAI, API Gateway, Vector Databases, Software Engineering
Status: Free TrialSkills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Transfer Learning, Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science
Status: Free TrialSkills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Real Time Data, Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Data Science, AI Workflows, Data Synthesis, Data Preprocessing, AI Personalization, Data Analysis, Machine Learning
Status: NewStatus: Free TrialSkills you'll gain: SolidWorks (CAD), 3D Modeling, Assembly Drawing, Engineering Design Process, Mechanical Design, Computer-Aided Design, Mechanical Engineering, Engineering Drawings, Torque (Physics), Functional Testing
Status: Free TrialVanderbilt University
Skills you'll gain: Claude Code, Prompt Engineering, Multimodal Prompts, Version Control, AI Workflows, Generative AI Agents, Git (Version Control System), AI Orchestration, Quality Assurance, Generative AI, Software Quality Assurance, Software Development, Software Documentation, Artificial Intelligence, Software Development Life Cycle, Software Architecture, Automation, Software Testing, Software Design, Software Development Methodologies
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
- Deep Learning Engineering:Â Coursera
- AWS: Feature Engineering Data Transformation & Integrity :Â Whizlabs
- Mathematics for Engineering:Â Birla Institute of Technology & Science, Pilani
- AI Engineer Associate:Â Packt
- AI Engineering Masterclass: From Zero to AI Hero:Â Packt
- AI Engineering:Â Scrimba
- IBM AI Engineering:Â IBM
- Generative AI for Data Scientists:Â IBM
