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Feature Store Engineering using Feast & Tecton

Master real-time and batch feature engineering pipelines using Feast and Tecton for production-ready machine learning systems.
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Course Duration: 10 Hours
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Feature Store Engineering using Feast & Tecton – Online Course
 
Feature Store Engineering using Feast & Tecton is an advanced, hands-on course tailored for machine learning engineers, data scientists, MLOps practitioners, and data platform engineers looking to build efficient, reusable, and scalable feature pipelines for real-time and batch machine learning systems. This course provides both conceptual foundations and practical implementation of feature stores, with a focus on open-source Feast and enterprise-grade Tecton platforms.
 
In machine learning, developing a good model is only part of the journey. Feature engineering—transforming raw data into useful predictive signals—is critical for performance. But scaling feature workflows across training and serving environments introduces complexity, such as feature drift, data leakage, duplication, and inconsistency.
 
Feature stores solve this by providing a centralized system for defining, storing, and retrieving ML features consistently for both training and inference. Feast and Tecton are among the leading solutions for managing this lifecycle efficiently.
 
This course walks you through building feature pipelines using Feast and Tecton, connecting data sources, handling feature versioning, managing time-travel joins, integrating with model training tools, and serving features in real time at scale.
 
 
What is a Feature Store and Why Use Feast & Tecton?
 
A feature store is a data management system that:
  • Stores, serves, and manages ML features
  • Provides APIs for online and offline access
  • Handles transformations and time-based joins
  • Ensures consistency between training and serving data
Feast (Feature Store) is an open-source platform designed for production-ready ML systems. It offers both batch and real-time ingestion, point-in-time feature retrieval, and integration with tools like BigQuery, Redis, Kafka, and Spark.
 
Tecton is a commercial feature platform that builds on the concept of feature stores with enterprise-grade tooling, real-time processing, data lineage, and monitoring built-in.
 
Both platforms improve ML reproducibility, collaboration, and operational efficiency.
 
 
How to Use This Course Effectively
  • Begin with a clear understanding of ML pipelines and the challenges of feature engineering at scale.
  • Follow hands-on labs with Feast and Tecton using real-world datasets.
  • Design your own feature transformations and implement point-in-time joins.
  • Deploy features for training and online inference.
  • Use versioning and monitoring to maintain pipeline quality and model stability.
This course is ideal for:
 
  • ML Engineers and MLOps specialists building production pipelines
  • Data scientists managing multiple models and datasets
  • Platform teams supporting real-time ML serving
  • Data engineers designing feature transformation workflows
  • Anyone moving from experimentation to operational ML systems

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:
 
  1. Understand the purpose and architecture of feature stores.
  2. Build and manage offline and online features using Feast.
  3. Implement real-time feature ingestion and retrieval pipelines.
  4. Ensure feature consistency across training and serving.
  5. Design and deploy time-travel and point-in-time joins.
  6. Use feature registries, entities, and feature services.
  7. Monitor and version feature sets for governance and reproducibility.
  8. Integrate Feast and Tecton with ML workflows and model training pipelines.
  9. Serve low-latency features in production with Redis or DynamoDB.
  10. Build a complete feature store pipeline that supports batch and streaming data.
Course Syllabus Back to Top
Course Syllabus
 
Module 1: Introduction to Feature Stores
  • What is a feature store?
  • Offline vs online features
  • Challenges in traditional feature engineering
Module 2: Overview of Feast and Tecton
  • Architecture and components
  • Feast vs Tecton comparison
  • Core concepts: entities, feature views, feature services
Module 3: Setting Up Feast
  • Installation (local, cloud, or Docker)
  • Connecting to data sources (BigQuery, Snowflake, Redshift)
  • Redis and file-based stores
Module 4: Offline Feature Engineering
  • Defining feature views and entities
  • Backfilling historical features
  • Point-in-time correctness
Module 5: Online Feature Serving
  • Feature materialization
  • Redis integration for low-latency lookup
  • Online transformation pipeline
Module 6: Real-Time Feature Ingestion
  • Using Kafka or Kinesis for streaming features
  • Event-based ingestion and TTL policies
  • Monitoring freshness and staleness
Module 7: Feature Consistency and Versioning
  • Avoiding training-serving skew
  • Feature set versioning strategies
  • Managing feature lifecycle and registry
Module 8: Introduction to Tecton
  • Tecton platform overview
  • Declarative feature definitions
  • Streaming, batch, and on-demand feature pipelines
Module 9: Integrating with ML Workflows
  • Training pipelines with Feast and Tecton
  • Feature retrieval for model serving
  • Deployment in CI/CD and MLFlow pipelines
Module 10: Capstone Project – Production ML Feature Pipeline
 
  • Create offline + online features
  • Train model using point-in-time features
  • Serve features for real-time predictions
Certification Back to Top
After completing this course, you will receive a Certificate of Completion from Uplatz, verifying your expertise in designing and deploying scalable feature stores using Feast and Tecton.
 
This certification validates your ability to handle the feature engineering lifecycle from raw data to real-time inference, manage consistent training/serving pipelines, and build reproducible ML workflows. The certificate is a strong credential for MLOps, ML infrastructure, or AI engineering roles focused on production-readiness.
 
Showcasing this credential on your LinkedIn profile or resume highlights your readiness to support enterprise-grade machine learning systems.
Career & Jobs Back to Top
As machine learning systems move from experimentation to production, managing features becomes a critical engineering challenge. Feature stores are becoming standard infrastructure components in MLOps pipelines.
 
With this course, you’ll be prepared for roles such as:
  • Machine Learning Engineer (MLOps)
  • Data Platform Engineer
  • Feature Store Engineer
  • AI Infrastructure Specialist
  • Real-Time ML Engineer
  • ML Systems Architect
Organizations like Uber, DoorDash, Airbnb, Robinhood, and Shopify already use feature stores for real-time personalization and predictions. Gaining hands-on experience with Feast and Tecton positions you for cutting-edge ML roles in top-tier companies adopting scalable MLOps practices.
Interview Questions Back to Top
1. What is a feature store and why is it needed?
A feature store centralizes the storage, management, and serving of ML features, ensuring consistency between training and serving environments.
 
2. What’s the difference between offline and online features?
Offline features are used for training and are computed in batch. Online features are used for real-time inference and must be available with low latency.
 
3. What are feature views in Feast?
Feature views define how features are generated from data sources, specifying schema, entities, and transformation logic.
 
4. What is point-in-time correctness in ML?
It ensures that during model training, only data that was available at the time the prediction was made is used—preventing data leakage.
 
5. How does Feast ensure consistency between training and serving?
By using the same feature definitions and retrieval interfaces for both online and offline access, ensuring alignment across environments.
 
6. What is the role of entities in feature stores?
Entities represent the primary keys used to join features with labels or inferencing inputs, such as user_id or product_id.
 
7. How does Tecton differ from Feast?
Tecton is a fully managed enterprise platform with built-in monitoring, streaming support, SLAs, and declarative pipeline management. Feast is open-source and more modular.
 
8. What’s the typical latency of online feature retrieval?
Feast with Redis can serve features with <10ms latency, suitable for real-time systems like recommendations or fraud detection.
 
9. How do you integrate feature stores with training workflows?
By retrieving features from the offline store for model training, using point-in-time joins, and later using the online store for inference.
 
10. What challenges do feature stores solve in MLOps?
They solve training-serving skew, reduce redundant feature code, simplify deployment, and improve experiment reproducibility and collaboration.
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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Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

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A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

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A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

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A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

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A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
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!

Q18. Do you provide placement services?
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:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
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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Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".

Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.
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