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.

Request a Discovery Call Book a Consultation

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:

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:

Program Structure

A practical, code-first learning journey designed for hands-on enterprise application.

Course Outline

Introduction to AI-Augmented Development

Understand the role of LLMs and prompt engineering in software delivery.

Code Generation with GenAI

Generate, explain, and translate code using LLM-powered workflows.

Refactoring & Optimization

Refactor existing logic, simplify code, and enhance readability through AI-assisted techniques.

Debugging & Testing Automation

Use GenAI tools to detect bugs, write test cases, and streamline QA processes.

Secure & Responsible AI Use

Evaluate AI-generated code for correctness, maintainability, and ethical use in enterprise environments.

Capstone Simulation

Apply your learning to build a deployable mini-project or MVP using GenAI tools and APIs.

Who Should Participate?

This workshop is ideal for:

Business Outcomes

What Organizations Will Gain

What Participants Will Learn

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

1.Will I gain hands-on experience?

Yes, participants engage in guided coding labs covering AI-driven code generation, debugging, and testing.

2. Is prior AI knowledge required?

No. A working understanding of software development concepts is sufficient to participate.

3. Can this workshop be tailored to our tech stack?

Absolutely. We customize examples, exercises, and tools based on your organization’s languages, frameworks, and development environment.

4. How does this workshop improve developer productivity?

By automating repetitive coding, testing, and debugging tasks, teams gain more time to focus on innovation and delivery excellence.

5. Does the workshop cover AI governance and security?

Yes. We emphasize responsible usage, privacy considerations, and validation of AI-generated outputs within enterprise boundaries.

6. Why should I choose NextAgile for the Generative AI for Software Developers Workshop over other training providers?

Most GenAI trainings explain what AI can do. NextAgile focuses on how developers actually use it in real software delivery. That difference matters.

In our experience working with enterprise engineering teams at NextAgile, the biggest gap isn’t awareness,it’s implementation. Developers don’t need another overview of LLMs. They need proven workflows for coding faster, debugging smarter, refactoring legacy systems, and shipping with confidence.

NextAgile’s Generative AI training for software developers is built by practitioners who’ve seen what works (and what breaks) in real environments,regulated industries, messy codebases, CI/CD pipelines, and security constraints included. The workshop is opinionated, hands-on, and grounded in real engineering trade-offs.

No fluff. No vendor lock-in hype. Just practical GenAI patterns your developers can use the very next sprint.

This is the same gap teams usually uncover when they run an agile maturity assessment across their engineering practices.

7. What is the Generative AI for Software Developers Workshop?

The Generative AI for Software Developers Workshop is a hands-on, practitioner-led training that teaches developers how to use GenAI tools effectively across the software development lifecycle.

Instead of treating AI as a side tool, this workshop shows how to embed AI directly into daily developer workflows,from requirements analysis and design, to coding, testing, debugging, and refactoring. Think of it as upgrading your team’s development muscle memory for the AI era.

We cover not just what tools exist, but when to use them, how to evaluate their output, and where human judgment still matters. That balance is critical in enterprise environments.

By the end, developers understand how to collaborate with AI systems responsibly, securely, and productively,without over-reliance or blind trust.

8. Is the Generative AI for Software Developers Workshop suitable for developers with no prior AI experience?

Yes,and this is intentional.

This Generative AI training for software developers assumes strong programming fundamentals, not prior AI or machine learning knowledge. If your developers can reason about code, they already have the most important prerequisite.

We start from first principles,what modern LLMs are good at, where they fail, and how developers should think about them as probabilistic collaborators rather than deterministic tools. From there, we move quickly into practical usage.

What we’ve noticed is that developers with no AI background often adopt GenAI faster once they understand the mental models. The workshop removes the intimidation factor and replaces it with clear, repeatable patterns.

So whether your team is AI-curious or AI-skeptical, they’ll meet the workshop exactly where they are. This kind of workflow integration is already becoming standard in enterprise scrum setups where multiple teams need consistency.

9. How long is the Generative AI for Software Developers Workshop and what formats are available?

The workshop is designed to be flexible because enterprise realities are messy.

Typically, Generative AI training for software developers is delivered as:

1-day intensive workshop (high-impact overview + hands-on labs)
2-day deep-dive (recommended for enterprise teams)
Modular sessions spread across multiple weeks

Formats include live virtual, in-person, or hybrid delivery depending on team distribution. For distributed teams, we’ve found shorter sessions with practical assignments between modules work especially well.

What matters most isn’t duration,it’s retention. The workshop is structured around real developer tasks, not slides, so teams leave with workflows they can reuse long after the session ends.

10. What are the primary learning outcomes of the Generative AI for Software Developers Workshop?

By the end of this Generative AI training for software developers, participants can confidently:

Use GenAI tools to accelerate coding without sacrificing quality
Apply structured prompting techniques for debugging and problem-solving
Review, validate, and improve AI-generated code safely
Refactor legacy code using AI-assisted strategies
Integrate AI into existing IDEs, repositories, and pipelines
Understand risks around hallucinations, security, and IP

More importantly, developers gain judgment. They learn when AI genuinely helps,and when it slows things down.

That discernment is what separates productive teams from those who burn time experimenting without results.

11. What AI tools and technologies are covered in the Generative AI for Software Developers Workshop?

The workshop is tool-aware but not tool-dependent.

We cover:

Leading AI coding assistants (IDE-based and standalone)
General-purpose LLMs and code-specialized models
Prompting frameworks for development tasks
APIs and SDKs for integrating GenAI into workflows
Enterprise and private LLM deployment patterns

Rather than chasing every new release, we focus on capabilities that persist,code generation, reasoning, test creation, refactoring, and review.

This ensures your developers aren’t locked into a single vendor mindset and can adapt as the AI ecosystem evolves (which, frankly, happens every few months now).

12. Does the Generative AI for Software Developers Workshop include hands-on coding exercises?

Absolutely,and this is non-negotiable.

Every major concept in this Generative AI training for software developers is reinforced through hands-on exercises. Developers actively write, refactor, debug, and test code using AI tools,not just watch demos.

Exercises mirror real-world scenarios:

Understanding unfamiliar codebases
Fixing subtle bugs
Writing unit tests faster
Improving readability and maintainability

We’ve learned that developers only trust AI after they’ve stress-tested it themselves. The workshop creates a safe environment to experiment, fail, and learn,without production risk.

13. Does the workshop cover prompt engineering techniques for complex debugging and software development?

Yes, but not in the superficial “prompt tips” way.

We teach structured prompt engineering specifically for software development tasks,debugging race conditions, analyzing stack traces, understanding legacy logic, and exploring design alternatives.

Developers learn how to:

Decompose complex problems for AI collaboration
Chain prompts for multi-step reasoning
Validate and challenge AI responses
Use AI as a debugging partner, not an oracle

This is where productivity gains really compound, especially for senior engineers working on complex systems.

14. Does the Generative AI for Software Developers Workshop cover AI security, data governance, and responsible AI practices?

Yes,because ignoring this is reckless in enterprise settings.

This Generative AI training for software developers includes clear guidance on:

Secure prompt usage
Preventing data leakage
Handling proprietary code safely
Understanding model limitations and risks
Aligning with internal governance and compliance policies

We don’t treat responsible AI as a checkbox. Instead, we show how developers can stay productive and compliant without slowing delivery.

15. Can the Generative AI for Software Developers Workshop be customized for our enterprise team and tech stack? (already existed this relevant question, if required we can modify)

Yes, and this is where NextAgile stands out.

The workshop can be customized around:

Your programming languages and frameworks
Your CI/CD pipelines
Your cloud or on-prem setup
Your security and compliance constraints

Customization ensures developers see immediate relevance,not abstract examples that don’t map to reality.

16. Can we use our own company's codebase during the Generative AI for Software Developers Workshop?

Yes,when appropriate and approved internally.

Many enterprise teams choose to use sanitized or representative code from their own systems. This dramatically increases learning impact because developers recognize the patterns instantly.

We also support private environments to ensure data safety.

17. What is the expected ROI and productivity improvement from the Generative AI for Software Developers Workshop?

While results vary, teams typically report:

20-40% faster development cycles
Reduced time spent on debugging and boilerplate
Faster onboarding for new engineers
Better handling of legacy systems

The real ROI comes from sustained behavior change, not one-off efficiency gains. Developers stop experimenting randomly and start using AI deliberately. In more mature organizations, these gains are often tracked through a value management office rather than just sprint metrics.

18. Will the Generative AI for Software Developers Workshop help with legacy code refactoring and technical debt reduction?

Yes,this is one of the strongest use cases.

We show how GenAI can:

Explain undocumented code
Identify refactoring opportunities
Safely modernize older patterns
Reduce fear around touching legacy systems

For many teams, this alone justifies the investment.

19. How does this workshop compare to AI certifications from IBM, Google, or Coursera?

Certifications focus on breadth. This workshop focuses on depth and applicability.

If certifications explain AI concepts, this workshop teaches developers how to ship better software using AI today. Many teams use both,but for different goals.

20. Are the coding exercises in the Generative AI for Software Developers Workshop language-agnostic, or focused on specific programming languages?

Yes. While examples often use popular enterprise languages, the principles apply across stacks.

Developers learn transferable patterns, not language-specific tricks.

21. Does the workshop cover integration of private or enterprise LLMs in software development workflows?

Yes. We discuss:

When private LLMs make sense
Integration patterns
Trade-offs vs public models
Cost, security, and governance considerations

This is especially valuable for regulated industries.

22. Is the Generative AI Workshop updated with the latest LLM features and AI coding tool capabilities?

Yes. The curriculum is continuously refreshed based on real-world usage and evolving capabilities,not marketing announcements.

23. How does the workshop address copyright, licensing, and legal issues when using AI-generated code?

Developers learn:

What AI-generated code means legally
How to manage licensing risks
How to document AI usage responsibly

This clarity reduces hesitation and misuse.

24. How do I enroll in the Generative AI for Software Developers Workshop, and what is the pricing for corporate teams?

Enrollment and pricing depend on:

Team size
Customization level
Delivery format

For enterprise teams, a short consultation helps scope this properly and avoid overpaying for unnecessary modules.

25. What technical prerequisites and development environment setup are required before starting the Generative AI for Software Developers Workshop?

Developers need:

Basic proficiency in at least one programming language
A standard development environment
Curiosity and openness to new workflows

No AI background required.

Future-Proof Your Developers with Generative AI

Enable your engineering teams to code smarter, innovate faster, and deliver better software—powered by Generative AI.

Generative AI for Software Developers Workshop

Empower your developers to code smarter, faster, and more efficiently with Generative AI.

Trusted By Global Leaders

Program Overview

AI-Augmented Coding

Smarter Refactoring & Debugging

Automated Testing & Code Validation