Generative AI for Software Developers Specialization
Packt
Packt's three-course online specialization teaches software professionals generative AI fundamentals, development workflow integration, and the design and deployment of AI applications.
- Provider
- Packt
- Resource type
- course
- Level
- Intermediate
- Duration
- 4 weeks to complete at 10 hours a week
- Price model
- Subscription
- Region
- Global
- Published
- 16 October 2026
- Last updated
- 16 October 2026
About this resource
Designed for developers, software engineers, and architects, this intermediate specialization explores how generative AI fits into software engineering. Its three courses move from model fundamentals and prompting techniques to practical development tasks, ethical integration, and advanced application design. Topics include intelligent documentation, fine-tuning, and deployment of scalable AI systems. Delivered through Coursera, the program is entirely online and allows learners to set their own schedule. Guided practice activities use analysis, reflection, and applied tasks to connect concepts with realistic development challenges. The page estimates four weeks with ten study hours weekly. Completion earns a shareable Packt certificate; the specialization does not itself award university credit. What you will learn: • Explain generative AI fundamentals and model architectures. • Integrate generative AI tools into software development workflows. • Design and deploy advanced AI applications for practical use. • Develop secure generative AI applications. • Automate programming tasks with GitHub Copilot and OpenAI APIs.
Categories
- Language (LLM / NLP)
- MOOC
- Subscription
- Self-paced online
- ML lifecycle & data
- Responsible AI, ethics & safety
- Certificate of completion
- Developers & engineers
- AI security
- English
- Cross-industry / Horizontal
- Intermediate
- Code generation & assistance
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Verified
- Sources cited
- 0
- Last reviewed
- 16 October 2026
- Last updated
- 16 October 2026
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