Free Masterclass on Feb 18
Inside AI Systems: How LLMs Train, Reason & Act
Data Science
Building a Recommendation System using Deep Learning (A Beginner’s Guide)
5 Modules14 Lessons35 Learners
Build deep learning–powered recommendation systems from scratch. Learn filtering methods, embeddings, neural models, evaluation, and deployment.
Start LearningLast Updated: 29th January, 2026
Course Curriculum
Introduction to Recommendation Systems
What is a Recommendation System?
How Recommendation Systems Work
Types of Recommendation Systems
Mathematical Foundations
Traditional Recommendation Techniques
Content-Based Filtering
Collaborative Filtering
Evaluation Metrics
Deep Learning for Recommendations
Neural Collaborative Filtering (NCF)
Autoencoder-Based Recommenders
Sequence-Based Recommendation Systems
Hybrid and Context-Aware Systems
Hybrid Deep Recommendation Models
Contextual & Knowledge Graph-Based Recommendations
End-to-End Project and Deployment
Case Study — MovieLens Recommender
Deploying a Recommendation API
Summary
Written by Industry ExpertsSelf-paced Learning with Unlimited AccessEarn a Certificate Upon Compeletition
Top Tutorials
Related Articles
Made with in Bengaluru, India
- Courses
- Advanced Certification in Data Analytics & Gen AI Engineering
- Advanced Certification in Web Development & Gen AI System Design
- MS in Computer Science: Machine Learning and AI Engineering
- MS in Computer Science: Cloud Computing with AI System Design
- Professional Fellowship in Data Science and Agentic AI Engineering
- Professional Fellowship in Software Engineering with AI and DevOps
- Join AlmaBetter
- Sign Up
- Become A Coach
- Coach Login
- Policies
- Privacy Statement
- Terms of Use
- Contact Us
- admissions@almabetter.com
- 08046008400
- Official Address
- 4th floor, 133/2, Janardhan Towers, Residency Road, Bengaluru, Karnataka, 560025
- Communication Address
- Follow Us
© 2026 AlmaBetter