Generative AI for Software Developers

IBM via Coursera Specialization

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Overview

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With generative AI, a new technology era has begun. Software developers can leverage this revolutionary technology to write high-quality code with fewer bugs, which will increase their overall effectiveness and efficiency and. This is making generative AI an essential and must-have skill for software engineers. This IBM specialization offering is designed for anyone interested in leveraging the power of generative AI in software development. This includes existing and aspiring web developers, mobile app developers, front-end developers, backend-end developers, full stack developers, DevOps professionals, and Site Reliability Engineers (SREs). With three self-paced courses in the specialization, you will begin with the basics of generative AI including its uses, models, and tools for text, code, image, audio, and video generation. Advance to prompts engineering, explore various prompt engineering approaches and prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust. Boost your programming skills by learning to leverage generative AI to design, develop, translate, test, document, and launch applications and their code. Gain hands-on experience using generative AI tools and models, such as GitHub Copilot, Open AI ChatGPT, and Google Gemini, for various software engineering tasks.   Enroll now and gain the edge with AI skills that will boost your productivity and effectiveness as a programmer.

Syllabus

Course 1: Generative AI: Introduction and Applications
Course 2: Generative AI: Prompt Engineering Basics
Course 3: Generative AI:Elevate your Software Development Career

Courses

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9 hours 16 minutes
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As generative AI (GenAI) reshapes workplaces and job roles, using it effectively is now essential. Prompt engineering is the key to directing GenAI models and refining their output for desired results. This course is for professionals, executives, students, and AI enthusiasts ready to harness prompt engineering to unlock tools like ChatGPT. You’ll learn practical techniques, structured methods, and best practices for crafting strong prompts. Explore zero-shot and few-shot prompting to boost reliability and output quality. Discover advanced methods such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to produce accurate, context-aware responses. Hands-on labs and projects provide experience with multimodal prompting, the playoff method, and image generation. You’ll practice blending text and visuals and evaluating AI outputs for precision and usefulness. Podcasts, dialogues, and discussions link theory to real-world scenarios, while expert insights highlight strategies for effective prompt use. A final project and graded assessments ensure you can apply these techniques with confidence, leaving you with practical, job-ready skills. Hear from practitioners about the techniques and artistry behind writing impactful prompts. Enroll today to master prompt engineering and unlock GenAI’s potential.
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8 hours 6 minutes
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This course is designed for everyone—professionals, executives, students, and enthusiasts—interested in learning about generative AI and leveraging its capabilities in their work and lives. It is your first step toward understanding the power of generative AI, driven by models such as large language models (LLMs). In this course, you will learn the fundamentals and evolution of generative AI, with additional readings and expert insights offering a deeper view of its history and advancements. You will explore its capabilities across text, image, audio, video, virtual worlds, code, and data, with key takeaways and enhanced summaries at the end of each section to reinforce learning. You will understand the applications of generative AI in industries such as IT, finance, healthcare, education, entertainment, and human resources. You will also discover the features of popular tools and models, including GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs provide opportunities to practice using IBM Generative AI Classroom and tools such as ChatGPT. You will also hear from industry practitioners sharing real-world insights. Interactive activities, podcasts, and scenario-based exercises help you apply concepts, while a final practical project consolidates your skills by generating and refining outputs across multiple formats.
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1 day 40 minutes
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Generative AI (GenAI) is now an essential skill for software developers keen to future-proof their careers. This course gives existing and aspiring developers the job-ready skills employers are looking for to build intelligent, adaptive, and secure solutions. You'll learn how to harness generative AI for code generation, software design, bug detection, testing, optimization, and documentation. You'll also explore how AI integrates into DevSecOps and continuous integration and continuous deployment (CI/CD) pipelines, supports translation, review, and security, and strengthens software delivery. You’ll examine large language models (LLMs), natural language processing (NLP), and prompt engineering to gain insight into how to use these technologies effectively. Plus, you’ll look at agentic AI and retrieval-augmented generation (RAG) for extending autonomy, and you’ll get hands-on with vibe coding tools and practices that transform how developers interact with code. You’ll also consider ethical and responsible AI practices to ensure you innovate responsibly. If you’re keen to leverage GenAI to build software faster and better so you can power your career forward, enroll today!