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.
Hybrid AI Search Workflows
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Hybrid AI Search Workflows
This course is part of Agentic AI Development & Security Specialization
Instructor: LearningMate
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Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Learners will build and assess hybrid AI workflows, integrating generative AI with automation, modularity, and CI/CD best practices.
Skills you'll gain
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December 2025
Taught in English
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This course is part of the Agentic AI Development & Security Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
This module focuses on the first key skill of hybrid search: mastering the generative component. You will learn how to move beyond basic prompting to design, evaluate, and optimize a generative model's output for a specific search task. This involves selecting the right model, creating effective prompts, and most importantly, building a robust evaluation framework to measure performance and ensure the results are both relevant and reliable.
What's included
2 videos2 readings1 assignment1 ungraded lab
This module teaches the second key skill: architecting a hybrid system. You will learn how to combine the generative model from Module 1 with a traditional search method (like keyword or vector search) to create a workflow that is both context-aware and factually grounded. You will design the logic that governs how the two systems interact and learn to modularize your code for a scalable, production-ready CI (Continuous Integration) pipeline.
What's included
3 videos2 readings2 assignments1 ungraded lab
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