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Hybrid AI Search Workflows

By Coursera on Coursera · Technology
Price
Free

About This Course

Hybrid AI Search Workflows is an intermediate course designed for AI engineers, developers, and data scientists who want to build search systems that are both intelligent and factually reliable. While generative AI offers powerful reasoning, it can be prone to hallucination; traditional search is accurate but lacks contextual understanding. This course teaches you how to architect and implement hybrid workflows that get the best of both worlds, grounding powerful LLMs with verifiable data from classic search techniques. You will move beyond basic prompting to design, evaluate, and optimize systems that balance performance and cost. Through hands-on labs, you will master techniques for tuning model parameters, designing cost-efficient hybrid architectures, and modularizing your code for scalable, production-ready CI/CD pipelines. By the end of this course, you will be equipped to build and deploy trustworthy AI search applications that deliver accurate, context-aware, and reliable answers.

Instructor

LearningMate

Frequently Asked Questions

How much does Hybrid AI Search Workflows cost?
Visit the Hybrid AI Search Workflows course page for current pricing and available discounts.
Who teaches Hybrid AI Search Workflows?
Hybrid AI Search Workflows is taught by LearningMate, Coursera.
What skill level is Hybrid AI Search Workflows for?
This course is designed for intermediate learners.