Building LLM Applications in Python — WalkSelf
4.7 (11) ⏱ 2h 48m 📚 28 lessons 🎧 Audio version

Building LLM Applications in Python

Learn to build AI-powered applications using Python, from basic API integration and prompt engineering to modern retrieval techniques.

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About this course

The demand for intelligent, AI-driven software is growing rapidly, but integrating Large Language Models (LLMs) into real-world applications requires more than just sending a text prompt. This course takes you step-by-step through the process of building robust LLM applications using Python. You will start with the foundational concepts of AI integration and move toward practical implementation, learning how to structure your code, manage prompts, and apply modern techniques like Retrieval-Augmented Generation (RAG) to create context-aware applications. What you'll learn: • Understand the core architecture of LLM-powered applications and key terminology. • Connect to and interact with language model APIs using Python. • Apply prompt engineering best practices to generate accurate, reliable outputs. • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases. • Manage Python environments and dependencies with modern tools like uv or Poetry. • Prepare your application for deployment using foundational MLOps principles. The curriculum begins with essential definitions and API basics before progressing into hands-on written exercises. You will read through clear explanations and practical code snippets to gradually build your understanding of the complete application lifecycle. Designed for beginners and developers new to the AI landscape, this course requires no prior machine learning experience—just a basic understanding of Python. Start reading today and take your first steps into the world of AI application development.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 48m of practical content

Reviews (11)

সালমা খাতুন BD Verified learner
★ 5 · August 6, 2026

পাইথন জানতাম, কিন্তু এলএলএম দিয়ে আসল অ্যাপ বানানো কখনো সাহস হয়নি। এই কোর্সে এপিআই ইন্টিগ্রেশন থেকে শুরু করে প্রম্পট ইঞ্জিনিয়ারিং পর্যন্ত সবকিছু হাতে-কলমে দেখানো হয়েছে। সবচেয়ে ভালো লেগেছে রিট্রিভাল টেকনিক নিয়ে অংশটা, যেখানে নিজের ডেটা থেকে উত্তর বের করার পদ্ধতি স্পষ্ট করে বুঝিয়েছে। প্রতিটা উদাহরণ চালিয়ে দেখার মতো ছিল, তাই ধারণাগুলো দ্রুত মাথায় ঢুকেছে। এখন আমি নিজেই একটা ছোট এআই টুল বানিয়ে ফেলেছি।

Nikolai Ivanov BG Verified learner
★ 5 · July 28, 2026

I went into this course knowing basic Python but nothing about working with LLM APIs, and came out having built a couple of small working applications. The early lessons on API integration are clear and not rushed, which made it easy to follow along even when copying code for the first time. Things ramp up nicely once you get past the basics, moving into more involved patterns for chaining calls and handling responses. I appreciated that the instructor explains why certain design choices are made rather than just showing the code. By the end I had a genuinely usable project to show for it, not just a toy example.

Freya James NZ Verified learner
★ 5 · July 28, 2026

Went from barely understanding API calls to building a working Python application with an LLM backend by the end.

Daniel Silva PE
★ 5 · July 27, 2026

Pasar de llamar una API básica a montar recuperación de información con mis propios datos en Python fue clarísimo, justo lo que necesitaba.

Evelyn Dela Cruz PH Verified learner
★ 4 · July 22, 2026

Malaking tulong ito para matutunan ang paggawa ng LLM apps sa Python, medyo mabilis lang ang pace sa mga advanced na parte.

Koech Langat KE
★ 4 · July 18, 2026

Good progression from basic API calls to more complex application logic, though the middle section could use a couple more worked examples.

Alice Moretti IT Verified learner
★ 5 · July 11, 2026

Questo corso mi ha aperto gli occhi su come si costruisce davvero un'applicazione basata su modelli linguistici, partendo dalle chiamate API più semplici fino ad arrivare a strutture più articolate. Le spiegazioni sono chiare e il codice mostrato è sempre commentato bene, quindi anche chi come me non aveva mai lavorato con questi strumenti riesce a seguire senza perdersi. Mi è piaciuto molto il ritmo delle lezioni, che permette di consolidare ogni concetto prima di passare al successivo. Alla fine del corso avevo già una piccola applicazione funzionante costruita da zero. Consiglio di seguirlo scrivendo il codice insieme al video invece di limitarsi a guardare.

Daniela Mendoza PE Verified learner
★ 5 · June 23, 2026

Aprendí a construir apps con IA

Isabela Macedo BR Verified learner
★ 5 · June 19, 2026

Curso muito bem estruturado, saí sabendo integrar APIs de linguagem e construir aplicações reais em Python do zero.

Dimitris Ioannidis GR Verified learner
★ 4 · May 28, 2026

Well organized course that builds up from simple API integration to real application structure, just wish the final project section had more detail.

Нурлан Алимбетов KZ Verified learner
★ 5 · May 27, 2026

Отличный курс для тех, кто хочет перейти от простых запросов к API до полноценных приложений на базе LLM. Материал построен последовательно, каждая тема логично вытекает из предыдущей. После курса собрал собственное небольшое приложение и наконец понял, как всё это работает под капотом.

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