Feature Engineering Courses and Certifications

Fractal Analytics

Foundations of Machine Learning

14 ratings at Coursera

Demystify machine learning fundamentals, build models, analyze data, and apply strategies to real-world scenarios. Gain practical skills for data-driven decision-making and problem-solving.

• Coursera
• 1 day 1 hour 5 minutes
• On-Demand
• Paid Course

Fractal Analytics

Advanced Machine Learning Algorithms

12 ratings at Coursera

Explore advanced machine learning algorithms, from regularization to ensemble methods. Master feature engineering, hyperparameter tuning, and model selection for enhanced predictive accuracy and real-world applications.

• Coursera
• 20 hours 43 minutes
• On-Demand
• Paid Course

Whizlabs Microcredential

Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

10 ratings at Coursera

Master AWS machine learning engineering with hands-on training in SageMaker, MLOps, feature engineering, model deployment, and managed AI services for MLA-C01 certification.

• Coursera
• 16 weeks, 2 hours a week
• On-Demand
• Paid Course
• 5 courses

EDUCBA

Project on Recommendation Engine - Book Recommender

11 ratings at Coursera

Discover how to build a functional book recommendation engine using Python, data science techniques, and content-based filtering to create personalized suggestions.

• Coursera
• 5 hours 15 minutes
• On-Demand
• Paid Course

EDUCBA

Develop a Movie Recommendation Engine

10 ratings at Coursera

Discover how to build movie recommendation systems using Python, from popularity-based models to content-based filtering with real-world data and machine learning techniques.

• Coursera
• 2 hours 52 minutes
• On-Demand
• Paid Course

Edureka

Natural Language Processing Essentials

Discover NLP fundamentals through hands-on Python programming, covering text preprocessing, feature extraction, and building models for classification and entity recognition.

• Coursera
• 12 hours 55 minutes
• On-Demand
• Paid Course

Learn Ventures

Intro to Data Science & Machine Learning

A first introduction to data science and machine learning. Use Python to acquire, clean, and analyze data using powerful machine leanring models and popular data science libraries.

• edX
• 8 weeks, 1-5 hours a week
• On-Demand
• Free Online Course (Audit)

Corporate Finance Institute

Data Prep for Machine Learning in Python

Master data preparation techniques for machine learning in Python, from importing and cleaning to feature engineering and selection. Learn imputation, EDA, and transformations for optimal ML model performance.

• Coursera
• 5 hours 47 minutes
• On-Demand
• Paid Course

Coursera Microcredential

LLM Optimization & Evaluation

Master the complete lifecycle of LLM optimization through hands-on experience with production-ready techniques, evaluation methods, cost reduction, and deployment strategies.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 12 courses

Coursera

Building a Machine Learning Solution

Master the complete machine learning lifecycle from problem definition to deployment, covering data preprocessing, model selection, evaluation, and production monitoring.

• Coursera
• 20 hours 13 minutes
• On-Demand
• Paid Course

Coursera

Engineer Features and Evaluate Models for Production

Discover how to build production-grade ML systems with robust feature engineering pipelines and advanced model evaluation techniques using scikit-learn and TensorBoard.

• Coursera
• 2 hours 46 minutes
• On-Demand
• Paid Course

Foundations of Agent-Based AI Systems

Master foundational AI agent architectures, state representation, action selection, and evaluation techniques to build robust agent-based systems for real-world applications.

• Coursera
• 2 hours 46 minutes
• On-Demand
• Paid Course

AWS Certified Machine Learning - Specialty

Master the complete machine learning lifecycle on AWS, from data engineering to model deployment, preparing you for the specialty certification exam.

• Coursera
• 7 hours 28 minutes
• On-Demand
• Paid Course

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• On-Demand
• Paid Course

AI For Data Analysts

Discover how to build AI-powered data agents without coding experience. Master automated data collection, ML model training, and ethical AI deployment across industries like retail and healthcare.

• Coursera
• 10 hours 40 minutes
• On-Demand
• Paid Course