Introduction to AI Agents: Build a Web Research Assistant — WalkSelf
4.6 (11) ⏱ 2h 54m 📚 29 lessons 🎧 Audio version

Introduction to AI Agents: Build a Web Research Assistant

Grasp the core concepts of agentic AI and learn to build an autonomous research assistant that can search the web and synthesize information.

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About this course

AI agents are transforming how we interact with information, moving beyond simple chat to autonomous task execution. In this foundational course, you will learn how to design and build a text-based AI research agent capable of executing web searches, utilizing external tools, and compiling intelligent summaries. You will transition from understanding basic large language model interactions to orchestrating multi-step agent workflows. What you will learn: Understand the fundamental architecture and terminology of AI agents; Configure language models to utilize external tools and APIs; Design effective system prompts to guide autonomous research tasks; Implement basic Retrieval-Augmented Generation (RAG) patterns for context processing; Build a step-by-step logic flow for an agent to search, read, and summarize web data. The course begins with essential definitions and core concepts of agentic AI before moving into practical, written exercises. You will follow detailed code snippets and logical breakdowns to construct your own research tool from the ground up. This course is designed entirely for beginners, requiring no prior experience with AI development or complex prerequisites. Start reading today to unlock the potential of autonomous AI agents.

What you'll get

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  • Short & focused
    2h 54m of practical content

Reviews (11)

Hana Kolářová CZ
★ 5 · July 13, 2026

I liked how this course grounds agentic AI concepts in one concrete project instead of jumping between toy examples. Building the web research assistant step by step made the idea of an agent planning and calling tools finally make sense, and by the end I had something that could actually go fetch and summarize sources on its own.

Camila Sánchez AR
★ 5 · July 9, 2026

El curso explica bien los conceptos básicos de IA agéntica antes de meterte de lleno en el proyecto del asistente de investigación. Se nota que está pensado para gente que nunca ha tocado agentes, porque no da nada por sabido y aun así avanza a buen ritmo.

Agustín Silva CL Verified learner
★ 5 · July 8, 2026

Llevaba tiempo queriendo entender qué hace que un agente sea distinto de simplemente encadenar prompts, y este curso lo explica de forma muy clara. La idea de construir un asistente de investigación web como proyecto central ayuda mucho porque ves el razonamiento del agente en acción, no solo en diapositivas. Me gustó especialmente la parte donde el agente decide por sí mismo qué buscar y cuándo detenerse. Al final del curso ya tenía un asistente funcional capaz de investigar un tema y devolverme un resumen con fuentes. Es el tipo de curso que me hubiera gustado encontrar antes de perder tiempo intentando armar algo así por mi cuenta.

Бекжан Касымов KZ
★ 4 · July 4, 2026

Курс неплохо объясняет базовые идеи агентной архитектуры — как агент выбирает инструмент и строит план действий. Единственное, чего не хватило — примеров, что делать, если агент зацикливается на одном и том же запросе.

박서연 KR Verified learner
★ 4 · July 2, 2026

에이전트가 어떻게 스스로 검색어를 만들고 웹을 뒤져서 결과를 종합하는지 단계별로 따라가니 머릿속이 정리됐어요. 직접 리서치 어시스턴트를 만들어보는 실습이 특히 좋았고, 도구 호출하고 결과를 다시 추론에 넣는 루프 개념이 드디어 손에 잡혔습니다. 다만 검색 API 키 설정 부분은 설명이 조금 짧아서 따로 찾아봐야 했어요. 그래도 처음 agentic AI를 접하는 사람한테는 정말 추천할 만한 강의입니다.

Zofia Woźniak PL Verified learner
★ 4 · July 1, 2026

Solidne wprowadzenie do agentów, choć temat planowania zapytań mógłby być głębszy.

Budi Santoso ID Verified learner
★ 5 · June 28, 2026

Cara menjelaskan konsep agentic AI-nya runtut banget, dan proyek bikin asisten riset webnya bikin semua teori jadi masuk akal.

Chiara Costa IT Verified learner
★ 5 · June 21, 2026

Spiegazione chiara, progetto pratico ottimo.

Yee Mon MM Verified learner
★ 4 · June 20, 2026

The course does a good job explaining how an agent decides which tool to call next, and the research assistant project ties it all together nicely. My only gripe is that error handling for failed web requests is glossed over pretty quickly.

井上 咲良 JP Verified learner
★ 5 · June 15, 2026

エージェントが自分で検索して情報をまとめていく仕組みを、実際にWebリサーチアシスタントを作りながら理解できる構成が良かったです。

ธานินทร์ วิริยะ TH Verified learner
★ 5 · June 3, 2026

ในที่สุดก็เข้าใจว่า agent วนลูปค้นเว็บแล้วสรุปข้อมูลเองได้ยังไง สนุกมากครับ

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