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Generative AI (GenAI) Certification Program for Software Developers

Learn how to use Generative AI to build smarter applications, automate coding tasks, and enhance development workflows. This certification equips software developers with practical skills in AI integration, prompt engineering, and using tools like OpenAI API to create AI-powered solutions.

Live Online: 4 Hours per day, Total :32 hrs , 8 Days ( Jul 4 , 5, 11 , 12, 18 , 19 , 25 and 26, 2026 Live Online Self Paced In Person Generative AI (GenAI) Certification Program for Software Developers
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Overview

The Generative AI (GenAI) Certification Program for Software Developers is a hands-on, practical course designed to help developers integrate AI capabilities into modern applications. As Generative AI continues to transform software engineering, this program equips participants with the skills to build smarter, more efficient, and scalable solutions.

The course focuses on real-world implementation, covering how to use tools like OpenAI API to develop AI-powered features such as code generation, intelligent assistants, automated testing, and natural language interfaces. Participants will also learn prompt engineering techniques to improve AI outputs and optimize development workflows.

By combining theory with practical exercises, this program enables developers to automate repetitive coding tasks, enhance productivity, and accelerate application development. It is ideal for software engineers looking to stay ahead in the evolving AI-driven technology landscape and build next-generation applications.

Course Outline

  1.  Introduction to Generative AI and model architectures 
  2.  How large language models (LLMs) work 
  3.  Overview of platforms like OpenAI API
  4.  Key use cases in software development 
  5.  Limitations, risks, and best practices 
  1.  Principles of prompt design for coding and automation 
  2.  Zero-shot, few-shot, and chain-of-thought prompting 
  3.  Structuring prompts for code generation, debugging, and testing 
  4.  Output control, evaluation, and optimization 
  5.  Hands-on exercises with real coding scenarios 
  1.  Integrating AI APIs into web and backend applications 
  2.  Creating chatbots and virtual assistants 
  3.  Designing natural language interfaces 
  4.  REST API vs SDK integration approaches 
  5.  Error handling and response optimization 
  1.  Code generation, refactoring, and documentation 
  2.  AI-assisted debugging and troubleshooting 
  3.  Automating repetitive development tasks 
  4.  Developer productivity workflows using AI 
  1.  Introduction to embeddings and vector databases 
  2.  Building knowledge-based AI applications 
  3.  Implementing RAG pipelines 
  4.  Connecting AI models with external data sources 
  5.  Use cases: search, support bots, enterprise knowledge systems 
  1.  Introduction to AI agents and autonomous workflows 
  2.  Multi-step reasoning and task execution 
  3.  Tool integration and function calling 
  4.  Building intelligent assistants with action capabilities 
  1.  Automated test case generation using AI 
  2.  AI for code review and quality assurance 
  3.  Enhancing CI/CD pipelines with AI 
  4.  Monitoring, logging, and debugging with AI insights 
  5.  Improving reliability and reducing bugs 
  1.  Core NLP concepts for developers 
  2.  Text classification, summarization, and extraction 
  3.  Building AI-driven text applications 
  4.  Handling user inputs and conversational flows 
  1.  Optimizing API usage and latency 
  2.  Caching, batching, and token optimization strategies 
  3.  Scaling AI applications in production 
  4.  Cost management and efficiency techniques 
  1.  Secure API usage and data protection 
  2.  Handling sensitive and confidential data 
  3.  Bias, fairness, and ethical considerations 
  4.  Compliance and governance in AI systems 
  1.  Designing scalable AI-powered systems 
  2.  Microservices and AI integration patterns 
  3.  Event-driven architectures with AI components 
  4.  Production deployment best practices 
  1.  Build a production-ready AI-powered application 
  2.  Implement RAG, APIs, or AI agents 
  3.  Deploy end-to-end solution (cloud/local) 
  4.  Create a portfolio-ready project 
  5.  Final presentation and expert evaluation

Prerequisites

The Generative AI (GenAI) Certification Program for Software Developers is designed for developers who want to build, integrate, and scale AI-powered applications. While prior experience in AI is not required, a basic programming background is essential.

Who Should Attend

  1. Software developers and engineers 
  2.  Backend, frontend, and full-stack developers 
  3.  Technical architects and solution engineers 
  4.  DevOps professionals 
  5.  Developers interested in building AI-powered applications

Certification

Upon successful completion of the Generative AI (GenAI) Certification Program for Software Developers, participants will receive a globally recognized Certificate of Completion from GraspSkill, validating their expertise in building AI-powered applications.

This certification demonstrates your ability to work with modern AI tools and APIs such as OpenAI API to design, develop, and deploy intelligent software solutions.

Generative AI (GenAI) Certification Program for Software Developers

Benefits

  1. Future-proof your software development career with in-demand Generative AI skills 
  2.  Boost productivity using AI tools like GitHub Copilot
  3.  Build intelligent, AI-powered applications and features 
  4.  Enhance problem-solving and coding efficiency 
  5.  Earn higher salaries with AI expertise (up to 30–47% increase) 
  6.  Gain a globally recognized Microsoft-aligned certification 
  7.  Accelerate career growth into AI-focused roles 
  8.  Automate repetitive coding, testing, and documentation tasks 
  9.  Stand out in a competitive job market 
  10.  Contribute to innovative, AI-driven projects and solutions

About Trainer

    He is an experienced AI and machine learning specialist with deep expertise in generative AI technologies, including natural language processing, computer vision and AI-powered automation tools. With hands-on experience deploying AI solutions across diverse industries, he brings practical insights into leveraging GenAI for real-world business applications. Known for his clear and engaging teaching style, he simplifies complex AI concepts and guides learners through practical exercises and use cases. His training empowers professionals to harness the power of generative AI to enhance creativity, productivity and decision-making.

Learning Outcomes

  1. Future-proof your software development career with in-demand Generative AI skills 
  2.  Boost productivity using AI tools like GitHub Copilot
  3.  Build intelligent, AI-powered applications and features 
  4.  Enhance problem-solving and coding efficiency 
  5.  Earn higher salaries with AI expertise (up to 30–47% increase) 
  6.  Gain a globally recognized Microsoft-aligned certification 
  7.  Accelerate career growth into AI-focused roles 
  8.  Automate repetitive coding, testing, and documentation tasks 
  9.  Stand out in a competitive job market 
  10.  Contribute to innovative, AI-driven projects and solutions

Student Reviews

"“This course gave me practical experience in integrating AI into applications. The hands-on approach and real-world use cases were extremely valuable.”"

E
Ethan Walker
Senior Software Engineer , Microsoft | USA

"“The RAG and AI agents modules were outstanding. I can now build intelligent systems that interact with real data.”"

A
Ahmed Al-Farsi
Backend Developer, Ooredoo | Qatar

"“A well-structured program with strong technical depth. The capstone project helped me build a portfolio-ready AI application.”"

L
Lucas Pereira
Software Engineer , IBM | Brazil

"“The DevOps and automation modules were very useful. I’ve started integrating AI into our CI/CD pipelines.”"

D
Daniel Kim
DevOps Engineer , Samsung | South Korea

Frequently Asked Questions

This is a comprehensive online program designed to help software developers and engineers integrate generative AI into real‑world development workflows - from AI‑assisted coding to automated testing and AI‑infused applications - with hands‑on projects and industry tools.

This course is ideal for software developers, engineers, QA and automation testers, tech leads, solution architects, and data engineers who want to boost productivity, automate repetitive tasks, and build AI‑enhanced applications.

You will gain skills in AI‑assisted coding, code optimization, automated testing, debugging automation, and building AI‑powered applications, using tools like GitHub Copilot, ChatGPT, and other AI‑driven development platforms.

The program includes hands‑on projects and real sprint challenges, such as building AI‑powered apps, optimizing code automatically, and deploying intelligent software - giving you practical experience that enhances your portfolio.

This is a flexible, self‑paced online course typically designed to be completed in about 8 weeks, allowing you to learn alongside your work commitments through recorded modules, project work, and mentorship.

You will master 15+ in‑demand AI tools including Microsoft 365 Copilot, Azure OpenAI, GitHub Copilot, Bolt, Sourcery, and Claude, enhancing your ability to automate development tasks and deliver intelligent solutions.

Basic programming knowledge in languages like Java, Python, or JavaScript is recommended, but you do not need deep AI or machine learning experience - the course helps you leverage AI tools to simplify complex tasks.

Yes - you can earn multiple industry‑recognized certificates from us, Microsoft, and NSDC, highlighting your skills in AI‑driven software development and boosting your professional credentials.

Completing this program equips you with AI‑powered software engineering skills that are highly sought after in the tech industry, helping you stand out for roles such as AI Software Developer, AI Engineer, Full‑Stack Developer, and AI‑enhanced solution roles.

Unlike general AI certifications, this course is specifically tailored for software development, focusing on practical AI applications in coding, debugging, testing, and deployment - not just theoretical concepts - and includes project‑based learning with Microsoft technologies.

Yes, you will be able to pay the course fees in instalments. Reach out to [email protected] to see the options available to you.

Group discounts are available to groups of more than three candidates. You can get up to 20% discount depending on the number of participants.

You will get access to the learning portal and course access.

Absolutely - our self-paced online format lets you learn wherever and whenever it suits you. You control the pace and can balance study with your daily schedule.

Yes. The online training is accessible worldwide.

Live Class Schedules

Self Paced Learning

Access: Online, anytime
Certificate on completion
Minimum 5 participants required — email us at info@graspskill.com

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Corporate in-house programs or open events — write to us at info@graspskill.com

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Upcoming Schedules

Date Time Duration Mode Price Action
09:00 – 13:00 Kolkata (UTC+5:30) 4 Hours per day, Total :32 hrs , 8 Days ( Jul 4 , 5, 11 , 12, 18 , 19 , 25 and 26, 2026 Live Online $999.00 $749.00

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