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Feature Stores

Learn how Feature Stores streamline ML workflows by centralizing, managing, and serving features for production-ready models.
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Save 59% Offer ends on 31-Dec-2025
Course Duration: 10 Hours
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Feature Stores are a critical component in modern machine learning operations (MLOps), serving as centralized platforms for storing, sharing, and retrieving machine learning features. This course introduces you to the concept, architecture, and implementation of feature stores, enabling seamless collaboration between data engineers and data scientists.
 
The course covers both theoretical foundations and hands-on use of popular open-source tools like Feast and Tecton. You'll explore how feature stores simplify the ML lifecycle by maintaining consistency between training and inference pipelines, enhancing reproducibility, and supporting real-time feature serving.
 
By the end of the course, you’ll understand how to design a feature store, connect it with your data infrastructure, automate feature engineering, and integrate it into your ML model workflows.
 
What You Will Gain
  • Strong understanding of how feature stores improve ML lifecycle

  • Practical experience with tools like Feast and AWS SageMaker Feature Store

  • Ability to create, store, and retrieve features for ML training and inference

  • Knowledge of architectural patterns and deployment strategies for feature stores

Who This Course Is For
  • Data Scientists wanting consistency across training and production

  • ML Engineers aiming to scale model deployment

  • Data Engineers building reusable and reliable data pipelines

  • MLOps professionals automating the ML workflow

  • Anyone curious about operationalizing machine learning features

How to Use This Course Effectively
  1. Start with foundational concepts to understand the problem feature stores solve

  2. Practice creating and serving features using real datasets

  3. Use lab environments or cloud credits to explore tools like Feast

  4. Connect your learnings with broader MLOps and data engineering concepts

  5. Review architecture diagrams and case studies shared in the course

  6. Revisit modules as you begin applying concepts in your own ML workflows

Why Learn Feature Stores?
 
Feature Stores are revolutionizing the way data is used in machine learning. Without them, teams face inconsistencies, redundant computation, and delayed deployments. Learning Feature Stores gives you a competitive edge in MLOps, helping you operationalize machine learning in a robust and scalable way.

Course/Topic 1 - Coming Soon

  • The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.

    • 01:20
Course Objectives Back to Top

By the end of this course, you will be able to:

  • Understand the role of Feature Stores in ML pipelines

  • Build and deploy a basic feature store using tools like Feast

  • Engineer, store, and serve features for training and inference

  • Ensure feature consistency and governance

  • Integrate feature stores with batch and streaming data sources

  • Use metadata and monitoring tools to manage feature quality

Course Syllabus Back to Top

Course Syllabus

Module 1: Introduction to Feature Stores

  • What are Feature Stores?

  • Challenges in feature engineering without a store

  • Key components: feature repo, registry, online/offline stores

Module 2: Architecture and Design Patterns

  • Online vs. Offline feature stores

  • Feature groups, feature views, and entities

  • Real-world architecture examples

Module 3: Hands-on with Feast

  • Installing and configuring Feast

  • Creating a feature repository

  • Storing and retrieving features

Module 4: Batch and Streaming Ingestion

  • Batch ingestion from warehouses (BigQuery, Redshift)

  • Real-time ingestion with Kafka and Spark

Module 5: Feature Serving for Inference

  • Online serving and latency concerns

  • Integration with model prediction services

  • Versioning and consistency

Module 6: Metadata and Governance

  • Managing feature metadata and documentation

  • Access control and data lineage

  • Feature lifecycle management

Module 7: Case Studies and Best Practices

  • How top companies use Feature Stores

  • Feature reuse across teams

  • Scaling Feature Stores in enterprise environments

Module 8: Final Project

  • Build your own feature store

  • Serve features for a sample ML model

  • Document your infrastructure setup and deploy

Certification Back to Top
Upon completion of this course, you will receive a Certificate of Completion from Uplatz. This certificate demonstrates your expertise in implementing and managing feature stores and your readiness for production-level machine learning engineering.
Career & Jobs Back to Top

This course prepares you for cutting-edge roles such as:

  • MLOps Engineer

  • ML Infrastructure Engineer

  • Machine Learning Engineer

  • Data Platform Engineer

  • Feature Engineering Specialist

Interview Questions Back to Top
  1. What is a Feature Store and why is it important in machine learning?

  2. How does a Feature Store maintain consistency between training and inference?

  3. What are the differences between online and offline feature stores?

  4. How does Feast work, and what are its core components?

  5. What are Feature Views in Feast, and how are they defined?

  6. How can streaming data be integrated into a feature store?

  7. What are some challenges in serving real-time features?

  8. How do you ensure feature quality and governance?

  9. What is the role of metadata in a Feature Store?

  10. How can a Feature Store improve collaboration between data scientists and data engineers?

Course Quiz Back to Top
Start Quiz
Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

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A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

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A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
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c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
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While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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BUY THIS COURSE (USD 17 USD 41)