Generative AI is transforming the field of Software Engineering, making it a crucial skills for Developers to have in their toolkit. This IBM course "Generative AI for Software Developers" is designed to provide you with a comprehensive understanding of how generative AI techniques can be applied to enhance software development processes.
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This course is designed to offer the necessary skills and knowledge needed to leverage AI-powered tools and algorithms to improve the efficiency of software development processes.
Through a combination of videos, hands-on exercises, demos, and projects, you will learn how to leverage generative AI models to automate various aspects of software development, including code generation, design and architectures, bug detection, and optimization.
This course will also help you understand the ethical considerations that you should follow to use AI to its full potential.
Enroll today to get the most out of AI for developing software and boost your career!
This course is part of the Generative AI for Software Developers Specialization.
What you'll learn
- Discuss how to generate code snippets, scripts, and programs using generative AI models
- Apply techniques for application design and architecture, bug detection, code refactoring, and program optimization using generative AI
- Develop innovative solutions using Gen AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant
- Explain challenges and ethical considerations associated with using Generative AI for programming and options for mitigating them
Syllabus
Generative AI and Software Development
In this module, you will learn how AI impacts software development. Lesson 1 helps you understand how to leverage AI for the software development lifecycle using various tools and algorithms and set up a development environment for AI and ChatGPT. You will also learn about LLMs, transformers, and NLP and use them to create a chatbot. In lesson 2, you will explore the best practices and design patterns using AI for technical help and software architecture. You will learn how AI helps with code generation, bug detection, and troubleshooting and list the useful AI prompts for software development. This lesson will also teach you to leverage AI to generate static websites and architecture diagrams.
Generative AI for Software Development Workflows and its Considerations
In this module, you will learn how to use AI for DevSecOps, software testing, and Generative AI considerations. Lesson 1 introduces you to the nuances of using AI for CI/CD and software security using AI tools. You will learn how to generate test cases for specific use cases using AI. You will also understand the integration of AI into software development workflows. In lesson 2, you will explore the ethical considerations for software development in AI and innovation with Generation AI. You will explore some of the useful prompts for software testing and DevOps.
Final Project and Final Exam
In this module, you will complete a final project where you will have an opportunity to demonstrate your proficiency in building personalized learning for developers. Next, the final exam will test your knowledge of the course’s content including the essential concepts and their application.
