Description
Building LLM-Powered Recommendation Systems is a course on how to design and implement intelligent recommendation engines using large language models (LLMs) published by LinkedIn Online Academy. This is a practical, hands-on course that teaches you how to design and implement intelligent recommendation engines using large language models (LLMs) alongside real-world data and application workflows. You will learn how to harness the power of LLMs to understand user behavior, preferences, content semantics, and contextual signals to generate personalized recommendations that go beyond traditional algorithms. The course covers how to process and structure data, integrate LLM APIs into your backend systems, create hybrid models that combine embeddings with vector search, optimize communication with feedback loops, and evaluate system performance with appropriate metrics.
Going beyond traditional algorithms, this course shows you how to instantly improve existing systems using AI-based techniques for embedding generation, semantic re-ranking, cold start reduction, and more. Ideal for software engineers, data scientists, AI and machine learning engineers, and technical product managers, this course focuses on robust evaluation and teaches you how to measure quality and fairness and ensure true accuracy through patterns like Retrieval Augmented Generation (RAG). By the end of this course, you will be prepared to design, evaluate, and operate effective and responsible GenAI recommender systems in an operational environment.
What you will learn in Building LLM-Powered Recommendation Systems:
- GenAI’s Impactful Improvements for Recommenders
- Architecture of Native GenAI Recommender Systems
- Evaluating GenAI Recommenders: Quality, Fairness, and Trust
- Operationalizing GenAI Recommender Systems at Scale
- And…
Course specifications
Publisher: LinkedIn
Instructors: Rishabh Misra
Language: English
Level: Intermediate
Number of Lessons: 25
Duration: 2h 18m
Course topics
Building LLM-Powered Recommendation Systems Prerequisites
None
Pictures
Building LLM-Powered Recommendation Systems introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Downloadly link
Downloadly link
File password (s): www.downloadly.ir
Size
176 MB
