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Hybrid AI Search Workflows

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Hybrid AI Search Workflows

This course is part of Agentic AI Development & Security Specialization

Instructor: LearningMate

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

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.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in 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.

Module details

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

2 videosTotal 11 minutes

Designing an Effective Prompt Template5 minutes
Screencast: Evaluating Model Output with a Rubric6 minutes

2 readingsTotal 11 minutes

What is a Generative Search Workflow?6 minutes
How-To: Building an Evaluation Framework5 minutes

1 assignmentTotal 5 minutes

Knowledge Check: Prompt and Evaluation Scenarios5 minutes

1 ungraded labTotal 20 minutes

Build and Evaluate a Generative Search20 minutes

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.