What will you learn in Generative AI Software Engineering Specialization Course
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Understand the fundamentals of Generative AI and Large Language Models (LLMs).
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Learn how generative AI tools are applied across the software development lifecycle.
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Build AI-assisted applications using prompts, APIs, and automation workflows.
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Apply generative AI for code generation, debugging, testing, and documentation.
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Learn responsible AI practices, including ethics, bias, and security considerations.
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Gain hands-on experience integrating AI tools into real-world software engineering tasks.
Program Overview
Foundations of Generative AI for Software Engineers
⏳ 3–4 weeks
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Introduction to generative AI concepts, LLMs, and transformer models.
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Understand how generative AI differs from traditional AI/ML systems.
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Explore real-world use cases in software engineering.
AI-Assisted Software Development
⏳ 4–5 weeks
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Use generative AI for writing, refactoring, and reviewing code.
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Learn prompt engineering techniques for developers.
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Apply AI tools for faster debugging and problem-solving.
Testing, Documentation, and Productivity with AI
⏳ 3–4 weeks
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Generate test cases, unit tests, and documentation using AI tools.
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Improve software quality and developer productivity.
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Explore CI/CD and DevOps support using generative AI.
Responsible and Secure AI in Software Engineering
⏳ 2–3 weeks
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Learn ethical considerations, data privacy, and AI governance.
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Understand risks such as hallucinations, bias, and security vulnerabilities.
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Apply best practices for safe and responsible AI usage.
Capstone Project: Building AI-Enhanced Software Solutions
⏳ 4–6 weeks
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Design and build a real-world software solution using generative AI.
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Integrate AI APIs into applications and workflows.
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Demonstrate end-to-end AI-assisted software engineering skills.
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Job Outlook
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Highly relevant for Software Engineers, Full-Stack Developers, and DevOps Engineers.
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Prepares learners for emerging roles such as AI Software Engineer and AI Product Developer.
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Generative AI skills significantly boost productivity and career competitiveness.
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Applicable across startups, SaaS companies, and enterprise software teams.
Explore More Learning Paths
Strengthen your foundation in software engineering with additional courses that help you adopt modern development practices, integrate AI into engineering workflows, and prepare for more advanced technical roles.
Related Courses
1. Generative AI for Software Development Skill Certificate Course
Learn how to accelerate coding, automate tasks, and enhance development productivity using cutting-edge generative AI tools.
2. IBM DevOps and Software Engineering Professional Certificate Course
Master DevOps practices, CI/CD pipelines, and modern software development workflows to build and deploy applications efficiently.
3. Introduction to Software Engineering Course
Get a solid understanding of software development principles, testing, architecture, and lifecycle models—ideal for beginners entering the field.
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