AI for Developers: Integrating LLMs with APIs and Prompts — PickAClass
4.6 (16) ⏱ 2h 42m 📚 27 lessons

AI for Developers: Integrating LLMs with APIs and Prompts

A practical guide for developers to enhance applications by integrating powerful AI services through their APIs.

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About this course

Looking to add intelligent features to your applications but don't know where to begin? Integrating AI is now more accessible than ever, and this course shows you how to leverage the power of Large Language Models (LLMs) without needing a data science background. This text-based course provides the foundational skills to connect to powerful AI models through their APIs. You will learn how to send requests, process responses, and build practical, AI-driven functionalities directly into your own software projects. You'll move beyond simple chatbot examples to create features with real business value. What you'll learn: - Understand the core concepts of AI APIs and how they provide access to large language models. - Practice prompt engineering techniques to get reliable and structured outputs from AI models. - Make API calls to AI services, handle authentication, and process different response formats, including streaming data. - Build a sample application that integrates AI for tasks like text summarization and data extraction. - Explore the fundamentals of Retrieval-Augmented Generation (RAG) to ground AI responses in your own custom data. - Apply best practices for error handling and managing API usage effectively. The course starts with the essential terminology of AI services and APIs before moving into hands-on exercises for crafting prompts and making API calls. You'll then apply these skills in a structured project that demonstrates a real-world integration. This course is designed for developers with basic programming experience. No prior background in AI or machine learning is required to get started. Begin your journey to building smarter, AI-enhanced software today.

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  • Short & focused
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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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Name Surname
has successfully demonstrated mastery of
AI for Developers: Integrating LLMs with APIs and Prompts
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
AI for Developers: Integrating LLMs with APIs and Prompts
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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%
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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 (16)

Paul Nyame GH
★ 4 · July 19, 2026

Good practical breakdown of connecting LLMs to a real app rather than just playing in a chat window. The prompt engineering sections were the strongest part for me. Wish there was a bit more on handling long conversation context, but overall solid.

Võ Thị Giang VN Verified learner
★ 4 · July 14, 2026

Khóa học khá thực tế cho lập trình viên muốn tích hợp LLM vào ứng dụng của mình qua API. Các ví dụ về cách viết prompt được giải thích rõ ràng và dễ áp dụng ngay. Chỉ tiếc là phần xử lý lỗi khi gọi API hơi sơ sài.

Lorenzo Conti IT Verified learner
★ 4 · July 13, 2026

Corso molto pratico per chi sviluppa applicazioni e vuole integrare modelli linguistici tramite API. Gli esempi di prompt sono ben spiegati passo dopo passo. L'unico neo è che la parte sulla gestione degli errori delle chiamate API poteva essere più approfondita.

Fernanda Guerrero MX Verified learner
★ 5 · July 9, 2026

Justo lo que necesitaba como desarrollador.

Krzysztof Wójcik PL Verified learner
★ 5 · July 7, 2026

Świetny kurs dla programistów, którzy chcą wpleść LLM-y w swoje aplikacje. Przykłady z prawdziwym kodem i wywołaniami API są bardzo konkretne, żadnej wody. Po ukończeniu od razu wdrożyłem podobne rozwiązanie w swoim projekcie.

Arthur Michel FR Verified learner
★ 5 · July 7, 2026

J'ai adoré ce cours sur l'intégration des LLM via API. Les exemples de prompts sont concrets et j'ai pu les réutiliser directement dans mon projet Node.js. Le rythme est parfait pour quelqu'un qui code déjà mais découvre l'IA générative.

Frédéric Lefevre MC Verified learner
★ 4 · June 30, 2026

Je cherchais un cours orienté développeur plutôt que grand public, et celui-ci correspond bien à ce besoin. Les modules sur la structuration des prompts et l'appel aux API sont détaillés avec du code réel qu'on peut adapter. J'ai particulièrement aimé la partie sur la gestion des réponses en streaming, que je n'avais jamais bien comprise avant. Le seul bémol, c'est que certains exemples utilisent une version d'API légèrement différente de celle que j'utilise, donc il faut adapter un peu. Dans l'ensemble ça reste un excellent point de départ pour intégrer un LLM dans une vraie application.

David Růžička CZ
★ 5 · June 27, 2026

Exactly what I needed as a dev.

Gabriel Leroy FR
★ 5 · June 19, 2026

Un cours clair et bien structuré pour apprendre à connecter une API LLM à une vraie application, exactement ce qu'il me fallait.

Soňa Dubovská SK Verified learner
★ 4 · June 19, 2026

I went into this course already comfortable with REST APIs but completely new to working with LLMs, and it filled that gap nicely. The instructor walks through actual API calls, error handling, and prompt structuring rather than just talking theory, which I appreciated. Building a small chatbot integration as a side project while following along really cemented the concepts for me. My only complaint is that the section on rate limiting and cost management felt a bit rushed compared to the rest. Still, I'd say this is one of the more hands-on courses on the topic I've taken.

Nurul Huda binti Ahmad MY
★ 4 · June 6, 2026

Kursus ini sangat berguna untuk pembangun yang nak mula guna LLM dalam aplikasi mereka, cuma bahagian API error handling boleh lebih mendalam sikit.

Rafael Gomes PT
★ 5 · June 4, 2026

Integrei um modelo de linguagem ao meu app pela API seguindo o curso e funcionou de primeira; explicações diretas e muito práticas para devs.

عائشة خالد AE Verified learner
★ 5 · June 3, 2026

यह कोर्स डेवलपर्स के लिए बहुत उपयोगी है जो अपने ऐप्स में LLM को API के जरिए जोड़ना चाहते हैं। हर उदाहरण असली कोड के साथ समझाया गया है जिससे समझना आसान हो जाता है। प्रॉम्प्ट लिखने के तरीके सीखने के बाद मेरे प्रोजेक्ट की क्वालिटी काफी सुधर गई।

Riley Gray AU Verified learner
★ 4 · June 2, 2026

Solid intro, wished for more API examples.

Orhan Sönmez TR
★ 5 · June 1, 2026

मैं एक बैकएंड डेवलपर हूं और मुझे यह कोर्स बहुत पसंद आया क्योंकि इसमें सिर्फ थ्योरी नहीं बल्कि असली API कॉल्स और प्रॉम्प्ट डिज़ाइन दिखाया गया है। हर सेक्शन के बाद एक छोटा प्रोजेक्ट होता है जिससे सीखा हुआ तुरंत इस्तेमाल करने का मौका मिलता है। खासकर एरर हैंडलिंग और रिट्राई लॉजिक वाला हिस्सा बहुत काम का था क्योंकि यह ज्यादातर कोर्सेस में छूट जाता है। पढ़ाने का तरीका बहुत साफ और धीरे-धीरे आगे बढ़ने वाला है, जिससे कोई भी बीच में नहीं भटकता। कुल मिलाकर एक ऐसा कोर्स जो असली प्रोडक्शन कोड लिखने में मदद करता है।

Tom Schmit LU Verified learner
★ 5 · May 31, 2026

Ce cours m'a vraiment aidé à comprendre comment structurer les appels API pour obtenir des réponses fiables d'un LLM. Les exercices pratiques sont bien pensés et progressifs. Parfait pour un développeur qui veut passer de la théorie à un vrai produit.

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