Exa: Building AI Agents

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ExaExa
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Course Outline

This course, Building AI Agents using Exa AI, teaches you how to build real-world AI-powered agents that use Exa's semantic search capabilities to access, interpret, and act on live web data. You’ll create two production-ready agents: (1) an AI-Powered Newsletter Generator Agent that curates up-to-date content from the web for a niche audience, and (2) a Recruiting Agent that searches, filters, and recommends candidate profiles based on natural language job descriptions. The course walks you through prompt chaining, integrating Exa with tools like LangChain or OpenAI, and deploying these agents for real-time tasks.

Learning Outcomes

  • Learn how to build and deploy agents that use Exa AI for real-time web search
  • Gain experience building prompt-chained workflows that automate content curation and recruitment tasks
  • Learn Web scraping using Exa AI

Who Is This Course For?

This course is for developers, data engineers, and AI enthusiasts who want to build intelligent agents that can reason with live web data. Whether you’re exploring Retrieval-Augmented Generation (RAG), building smart automation, or trying to make your LLM-powered app more contextual, this course offers a hands-on path to mastering Exa AI's power. If you enjoy combining APIs, prompts, and automation into intelligent workflows, you’ll fit right in.

Pre-requisites

  • Familiarity with basic Python or JavaScript for building agents
  • Understanding of APIs and how to work with them
  • Some exposure to LLMs or prompt engineering concepts
LevelBeginner
Your Instructor
AS
Arvind Singharpuria
Duration1.5 hours
Showcasing
ExaExa
Progress0/5 chapters complete
0%
Your certificateComplete course to get your certificate
Certificate of Completion
Your certificate
Why Enroll?
Exa AI is at the forefront of AI-native search, and knowing how to leverage it opens up new possibilities in building agents that can actually “read” the web. This course will not only teach you how to integrate Exa into your toolchain, but also how to build and ship full-featured agents that solve real problems. You’ll walk away with two deployable projects, a stronger understanding of RAG systems, and a skillset that’s immediately applicable to search, automation, and AI-driven products.
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