Certified GPT Professional Certification

About this certification

The Certified GPT Professional credential validates essential knowledge and applied skills in working with Generative Pre-trained Transformer (GPT) models and AI-driven systems. Designed for developers, analysts, educators, and professionals entering the era of generative AI, this certification ensures individuals can design, prompt, and integrate GPT models responsibly and effectively across real-world environments. Generative AI has become the new foundation of digital transformation — reshaping industries through intelligent automation, data-driven insights, and human-AI collaboration. From startups to global enterprises, GPT models power applications in natural language processing, customer service, education, software development, and research innovation. The Certified GPT Professional Certification measures the candidate’s ability to understand model architecture, apply prompt-engineering techniques, design AI workflows, and leverage APIs to build scalable AI-enabled systems. Through structured domains and performance-based tasks, it demonstrates readiness to create, deploy, and maintain GPT-powered solutions that align with ethical, technical, and business objectives in the Fourth Industrial Revolution.

What you're expected to know

• Foundations of Generative AI and GPT Models and their capabilities
• Prompt Engineering and Output Control with the ability to structure prompts and managing model behavior for accuracy and consistency
• OpenAI Syntax and GPT integration by applying APIs, SDKs and frameworks such as React, Node.js, N8N, and Flowise
• Responsible AI, security and compliance and ensuring proper and responsible use
• Applied GPT use cases and industry solutions that have solved business problems, automate workflows, and add value to applications

Recommended experience

Candidates should have 0–6 months of hands-on practice or experience experimenting with AI tools or basic prompt creation, gained through coursework, bootcamps, self-study, or on-the-job use, including interacting with language models and completing simple task-based prompts.