Generative AI for Software Development
A two-day hands-on program on integrating generative AI into software development workflows — from code generation to testing and documentation.
Course Overview
Generative AI is transforming software development — from code generation and testing to architecture and documentation. This hands-on program covers how development teams can integrate GenAI into their workflows to boost productivity, improve code quality, and accelerate delivery. Participants work through practical exercises using AI tools for real development tasks.
Target Audience
Software developers, engineering leads, DevOps engineers, technical architects
Prerequisites
GEN-101 or equivalent. Programming experience required.
Learning Objectives
- Use GenAI for code generation, completion, and refactoring
- Integrate AI into testing and code review workflows
- Leverage AI for documentation and architecture design
- Build agentic development workflows
- Establish team practices for AI-assisted development
Key Modules
- GenAI for Code Generation and Completion
- AI-Assisted Testing and Code Review
- GenAI for Documentation and Architecture
- Agentic Development Workflows
- AI for DevOps and CI/CD
- Team Adoption and Best Practices
- Security and Quality Considerations
Learning Outcomes
- Practical skills in AI-assisted development
- A set of AI-enhanced development workflows
- Understanding of agentic development patterns
- Team guidelines for AI-assisted development
Your Instructor
Dr. Hussein Mustapha
AITECH Academy Faculty
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