Generative AI: Elevate your Software Development Career
Instructor: Rav Ahuja , Ramanujam Srinivasan
Intermediate Level • Approx. 17 hours • Flexible Schedule
What You'll Learn
- Demonstrate how to generate code snippets, scripts, and programs using generative AI models
- Apply generative AI techniques for application design, architecture, bug detection, code refactoring, and program optimization
- Develop innovative solutions using generative AI-powered tools such as ChatGPT, GitHub Copilot, Google Gemini, and IBM watsonx Code Assistant
- Explainthe challenges and ethical considerations associated with using generative AI for programming, along with strategies for mitigating them
Skills You'll Gain
Software Architecture
Software Development Tools
Data Ethics
Test Automation
Generative AI
Artificial Intelligence
Prompt Engineering
Natural language processing
Software Testing
CI/CD
Software Development
Application Security
Large Language Modeling
DevSecOps
Code Review
Shareable Certificate
Earn a shareable certificate to add to your LinkedIn profile
Outcomes
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Learn new concepts from industry experts
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Gain a foundational understanding of a subject or tool
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Develop job-relevant skills with hands-on projects
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Earn a shareable career certificate
There are 3 modules in this course
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.
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.
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.