Introduction to AI Agents: Build a Web Research Assistant — PickAClass
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★ 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

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • ⚡ Short & focused
    2h 54m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Certificate of Mastery
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Name Surname
has successfully demonstrated mastery of
Introduction to AI Agents: Build a Web Research Assistant
Skills demonstrated
✓
Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
✓
Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
Introduction to AI Agents: Build a Web Research Assistant
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (11)

Chiara Costa IT Verified learner
★ 5 · July 31, 2026

Spiegazione chiara, progetto pratico ottimo.

井上 咲良 JP Verified learner
★ 5 · July 13, 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。

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 4, 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.

Hana Kolářová CZ
★ 5 · July 1, 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.

ธานินทร์ วิริยะ TH Verified learner
★ 5 · June 27, 2026

ในที่สุดก็เข้าใจว่า agent วนลูปค้นเว็บแล้วสรุปข้อมูลเองได้ยังไง สนุกมากครับ

Yee Mon MM Verified learner
★ 4 · June 24, 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.

Zofia Woźniak PL Verified learner
★ 4 · June 11, 2026

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

Бекжан Касымов KZ
★ 4 · June 6, 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 · June 4, 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.

Budi Santoso ID Verified learner
★ 5 · May 27, 2026

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

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