The Ultimate Beginners’ Guide to Building an AI Agent in Python
This article provides a beginner-friendly guide to building an AI agent using Python. It explains the concept of AI agents and how they differ from simple chatbots. The tutorial includes step-by-step instructions for installing Python and setting up an IDE for coding.
- ▪AI agents are advanced software programs capable of making autonomous decisions and completing tasks with minimal human input.
- ▪The article outlines the process of building an AI educational agent that serves as a personal education assistant.
- ▪It emphasizes the importance of installing Python and selecting an appropriate Integrated Development Environment (IDE) for coding.
Towards Data Science files mainly under ai. We currently carry 89 of its stories.
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| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/the-ultimate-beginners-guide-to-building-an-ai-agent-in-python/ |
| Publication time | Sun, 24 May 2026 17:00:00 +0000 |
| Retrieval time | 2026-05-24T17:12:33.645Z |
| Last seen | 2026-05-24T17:12:33.645Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | C5rUMQJgI-dC |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Agentic AI The Ultimate Beginners’ Guide to Building an AI Agent in Python Simple step-by-step tutorial to building an AI agent in Python Mahnoor Javed May 24, 2026 15 min read Share Image by Mohamed Nohassi via Unsplash Introduction to AI Agents Agentic AI is the new buzzword of the decade. You hear it everywhere on job descriptions, tech companies’ profiles, freelancers’ projects, etc. As overwhelming as it may sound, building an AI Agent is not that difficult. On the contrary, you can easily build a simple AI Agent in a couple of minutes. This is what we will achieve in this article. In this article, we will go through the step-by-step process of building an AI Agent.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.