Generative AI for Software Developers

IBM via edX Professional Certificate

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edX Professional Certificate
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$147.00
Languages

English
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Level

Intermediate

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Overview

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Generative AI (or Gen AI) is ushering in a new era of software development. By harnessing this cutting-edge technology, developers can write high-quality code faster, reduce bugs, and significantly enhance their efficiency. As AI becomes an essential tool for modern software engineering, mastering gen AI is no longer optional, it’s a must-have skill.

This IBM program is designed for both current and aspiring software professionals, including web developers, mobile app developers, front-end and back-end engineers, full-stack developers, DevOps professionals, and Site Reliability Engineers (SREs).

Through three self-paced courses, you will build AI foundations by exploring gen AI models, tools, and applications for text, code, image, audio, and video generation. You’ll also master prompt engineering by learning advanced prompt engineering techniques and tools like IBM watsonx, Prompt Lab, Spellbook, and Dust. To enhance your coding workflow, you’ll leverage AI to design, develop, translate, test, document, and deploy applications. You’ll get the opportunity to use industry-leading AI tools like GitHub Copilot, OpenAI ChatGPT, and Google Gemini for real-world software engineering tasks.

Stay ahead in the evolving tech landscape. Enroll now to gain AI-powered programming skills that will set you apart and elevate your career.

Syllabus

Courses under this program:
Course 1: Introduction to Generative AI

In this course, you will learn about the fundamentals of generative AI. You will explore the capabilities and applications of generative AI across different domains. You will explore the capabilities and features of common generative AI models and tools.

Course 2: Introduction to Prompt Engineering

In this course, you will learn about prompt engineering to unlock the full potential of generative AI tools like ChatGPT. You will learn the techniques and best practices for writing effective prompts and explore a few common prompt engineering tools.

Course 3: Mastering Generative AI for Software Development

Build job-ready AI skills for software development, automate coding, optimize design, detect bugs, and create AI-powered solutions while considering ethics.

Courses

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3 weeks, 1-3 hours a week, 1-3 hours a week
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Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts.

You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses.

You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust.

The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.

This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT.
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3 weeks, 2-3 hours a week, 2-3 hours a week
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Do you want to enhance your software development career by leveraging the power of generative AI? This course explores the transformative applications of generative AI across the entire software development lifecycle.

The course teaches how generative AI-based tools enable code generation, scripting, and program creation, boosting developer productivity and automating repetitive tasks. You will learn how to train and fine-tune these models for specific software development needs, from generating custom code snippets to creating intelligent applications.

You will gain hands-on experience building static websites and prototypes using AI, accelerating the design process and fostering innovation. The course covers techniques for AI-assisted design and architecture, allowing you to explore new creative possibilities and optimize software structure.

You will also discover how generative AI can be used for bug detection, code refactoring, and program optimization, leading to improved code quality and maintainability. The course provides insights into the ethical considerations, challenges, and limitations of using generative AI in software development, emphasizing responsible AI practices.

Build a standout portfolio with hands-on labs and real-world projects, applying generative AI to real software development scenarios. From AI-powered features to streamlined workflows, you'll gain the practical experience employers demand. Plus, you'll learn to evaluate the impact of generative AI, preparing you for the future of software engineering. Enroll now and future-proof your career!