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Generative AI for Software Developers Workshop
Empower your developers to code smarter, faster, and more efficiently with Generative AI.
The Generative AI for Software Developers Workshop by NextAgile is a practitioner-led, enterprise-focused program designed to help developers leverage Large Language Models (LLMs) to improve productivity, code quality, and delivery speed. The program blends AI literacy with hands-on technical skill-building—enabling developers to automate coding, debugging, and testing tasks responsibly and effectively.
Code-Focused. Hands-On. Enterprise-Ready.
Trusted By Global Leaders
Program Overview
As Generative AI reshapes modern software development, enterprises must equip their engineering teams with the skills to apply it responsibly. This workshop bridges AI capabilities with day-to-day developer workflows—covering intelligent code generation, automated refactoring, and AI-assisted debugging and testing.
Participants gain deep insights into:
AI-Augmented Coding
Apply LLMs for function creation, documentation, and multi-language code translation.
Smarter Refactoring & Debugging
Use AI to detect inefficiencies, suggest cleaner code, and accelerate troubleshooting.
Automated Testing & Code Validation
Generate, review, and refine unit and integration tests through AI-assisted workflows.
The learning experience combines guided exercises, real coding environments, and real-world case simulations to ensure practical skill transfer and adoption.
Enterprise Objectives
This program builds organizational capability by embedding AI-assisted development practices into engineering workflows. Enterprises can enhance developer productivity, accelerate release cycles, and improve software quality—while maintaining governance and responsible AI use.
Key outcomes include:
- Streamlined coding, debugging, and testing cycles.
- Improved developer efficiency and throughput.
- Reduced technical debt through AI-driven refactoring.
- Responsible, secure integration of GenAI in development.
Program Structure
A practical, code-first learning journey designed for hands-on enterprise application.
- Duration: 32 Hours (customizable for corporate needs)
- Mode: Live Online / In-Person / Hybrid
- Learning Approach: Hands-on, project-based with practical coding tasks
Course Outline
Understand the role of LLMs and prompt engineering in software delivery.
Generate, explain, and translate code using LLM-powered workflows.
Refactor existing logic, simplify code, and enhance readability through AI-assisted techniques.
Use GenAI tools to detect bugs, write test cases, and streamline QA processes.
Evaluate AI-generated code for correctness, maintainability, and ethical use in enterprise environments.
Apply your learning to build a deployable mini-project or MVP using GenAI tools and APIs.
Who Should Participate?
This workshop is ideal for:
Software Developers and Engineers exploring GenAI in their coding workflows.
Technical Leads and Engineering Managers driving AI-enabled productivity.
DevOps and QA Teams
automating testing and maintenance tasks.
Enterprise Innovation Teams building AI-assisted development capabilities.
Business Outcomes
What Organizations Will Gain
- Accelerated software delivery and faster time-to-market.
- Higher code quality, reduced defects, and improved maintainability.
- In-house AI capability development, reducing external dependency.
- Measurable productivity gains through automation and optimization.
What Participants Will Learn
- Apply GenAI tools (e.g., GitHub Copilot, CodeWhisperer) for real-world coding efficiency.
- Automate documentation, testing, and refactoring with AI-driven workflows.
- Collaborate effectively in AI-augmented development environments.
- Design and implement responsible AI practices within engineering pipelines.
Why Partner with NextAgile?
- Built for developers—real-world coding, testing, and debugging using leading GenAI tools.
- Hands-on sessions that deliver immediate, practical skill application and measurable outcomes.
- Responsible AI adoption through secure, compliant, and validated engineering practices.
- Customizable programs aligned with your tech stack, workflows, and enterprise goals.
- Transformation expertise spanning Agile, DevOps, and AI for future-ready engineering teams.
Frequently Asked Questions
Yes, participants engage in guided coding labs covering AI-driven code generation, debugging, and testing.
No. A working understanding of software development concepts is sufficient to participate.
Absolutely. We customize examples, exercises, and tools based on your organization’s languages, frameworks, and development environment.
By automating repetitive coding, testing, and debugging tasks, teams gain more time to focus on innovation and delivery excellence.
Yes. We emphasize responsible usage, privacy considerations, and validation of AI-generated outputs within enterprise boundaries.
Future-Proof Your Developers with Generative AI
Enable your engineering teams to code smarter, innovate faster, and deliver better software—powered by Generative AI.
