Ementorhub

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

Code Review

Software Development

Artificial Intelligence

Generative AI

Software Testing

DevSecOps

Application Security

Prompt Engineering

Test Automation

Natural Language Processing

Data Ethics

Large Language Modeling

Software Development Tools

CI/CD

Software Architecture

There are 3 modules in this course

This course offers the skills and knowledge needed to leverage AI-powered tools and algorithms to improve the efficiency of software development. Through a combination of videos, hands-on exercises, demos, and projects, you will learn how to use generative AI models to automate various aspects of development, including code generation, software design and architecture, bug detection, testing, and optimization. You will also explore how generative AI integrates into DevSecOps, CI/CD pipelines, and documentation workflows, along with tools for code translation, review, and security enhancement. Key concepts like large language models (LLMs), natural language processing (NLP), and prompt engineering are also covered to help you understand the technology behind the tools. Ethical considerations and responsible AI practices are addressed to ensure you use AI to its full potential while maintaining integrity and transparency. The course culminates in a real-world final project, allowing you to apply your knowledge in building an AI-powered solution. Enroll today to get the most out of AI for developing software and boost your career!

Generative AI for Software Development Workflows and its Considerations

Final Project and Final Exam