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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您将学到什么
Learners will build and assess hybrid AI workflows, integrating generative AI with automation, modularity, and CI/CD best practices.
您将获得的技能
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Agentic AI Development & Security 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有2个模块
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.
涵盖的内容
2个视频2篇阅读材料1个作业1个非评分实验室
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.
涵盖的内容
3个视频2篇阅读材料2个作业1个非评分实验室
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