Coursera – Generative AI for Software Developers (by IBM)

Coursera – Generative AI for Software Developers (by IBM)
English | Tutorial | Size: 356.11 MB

Boost your software development career with Gen AI. Build in-demand hands-on Generative AI skills for your elevating your software engineering game in 1 month or less!!!

What you’ll Learn:
• Identify real-world generative AI uses and describe popular generative AI models and tools
for text, code, image, audio, and video
• Explain generative AI prompt engineering concepts, examples, and common tools and learn
techniques needed to create effective, impactful prompts
• Learn about tools and techniques to generate code snippets, scripts, test cases, and
applications using generative AI models
• Develop innovative software engineering solutions using AI-powered tools and LLMs

Skills you’ll Gain:
• Software Engineering
• Artificial Intelligence (AI)
• Prompt Engineering
• prompt patterns
• Generative AI

Specialization – 3 Course Series:
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 Co-pilot, Open AI ChatGPT, and Google Gemini, for various software engineering tasks.

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