Generative AI and Prompt Engineering for Software Developers

Leverage modern prompt engineering and large language models to automate code generation, refactoring, testing, and system design in your daily development workflow.

4.4 (2,264) ⏱ 31 min 📚 8 lekcji 🎧 Wersja audio

O tym kursie

As software development evolves, integrating artificial intelligence into your daily workflow is no longer optional—it is a critical skill for modern engineers. This course helps you bridge the gap between traditional coding and AI-assisted engineering by mastering prompt patterns and large language models. By the end of this course, you will transition from manual coding to a highly efficient, AI-accelerated workflow. You will understand how models process information, allowing you to write precise prompts that generate high-quality code, automate repetitive tasks, design system architectures, and streamline debugging, all while maintaining security and code quality. What you'll learn: - Understand the foundational concepts of generative AI, tokenization, and how language models process code. - Apply advanced prompt engineering techniques like Chain-of-Thought and few-shot prompting to solve complex programming challenges. - Generate, refactor, and document code across multiple files while adhering to clean code and SOLID principles. - Automate testing and DevOps tasks, including writing unit tests with pytest and generating infrastructure configurations. - Design system architectures, create structural diagrams, and evaluate technology stacks using AI-guided analysis. - Identify security risks in AI-generated code and implement secure prompting practices to protect sensitive data. The course starts with essential terminology and the mechanics of language models before moving into practical prompt patterns. You will then progress through real-world development phases, from system design and coding to testing, DevOps automation, and security auditing. This course is designed for software developers, engineers, and tech enthusiasts of all levels who want to integrate AI into their workflow. No prior experience with artificial intelligence or prompt engineering is required. Start reading today to transform your development workflow with the power of generative AI.

Co otrzymasz

  • 📜 Certyfikat ukończenia
    Dodaj do profilu LinkedIn
  • 🎧 Wersja audio w zestawie
    Ucz się w drodze — bez ekranu
  • ♾️ Dożywotni dostęp
    Wracaj, kiedy chcesz — bez wygaśnięcia
  • 📱 Telefon lub komputer
    Działa wszędzie, na każdym urządzeniu
  • 💸 Zwrot w 30 dni
    Bez pytań
  • Krótko i konkretnie
    31 min praktycznej treści

Recenzje (4)

Daniel Pereira BR Zweryfikowany kursant
★ 5 · 2026-05-20T05:14:53+00:00

Wow, I'm impressed. The real-world applications shown were super helpful. Made abstract ideas feel tangible. Great value!

Hannah Schulz DE
★ 5 · 2025-08-31T15:40:53+00:00

A truly excellent learning experience. The flow was logical and the examples were super helpful.

عفاف بن قاسم TN
★ 5 · 2025-01-21T10:53:53+00:00

Brilliant course! The structure was intuitive and the actionable insights are invaluable. Highly recommend.

حسن علي AE Zweryfikowany kursant
★ 4 · 2024-12-09T19:16:53+00:00

It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.

Napisz recenzję

Po wysłaniu poprosimy o zalogowanie — szkic zostanie zapisany.

Inni uczyli się też

Najczęstsze pytania

Czego potrzebuję, by wziąć udział w tym kursie? +

Wystarczy telefon lub komputer z internetem. Bez instalacji i specjalnego sprzętu.

Jak zapłacić? +

Kartą przez Stripe lub kryptowalutą. Nie przechowujemy danych karty — robi to bezpiecznie Stripe.

Czy mogę otrzymać zwrot? +

Tak — pełen zwrot w 30 dni, bez pytań.

Jak długo będę mieć dostęp? +

Na zawsze. Po zakupie kurs jest twój — wracaj, kiedy chcesz.

Czy dostanę certyfikat? +

Tak. Po ukończeniu otrzymasz certyfikat, który możesz dodać do profilu LinkedIn.

Stworzony dla uczących się w
IT Design Finanse Marketing Ochrona zdrowia Edukacja Hotelarstwo Produkcja