Generative AI Training and Certification in Middle East & Africa

This course introduces participants to the world of Generative Artificial Intelligence—technologies that can create new content such as text, images, audio, code, and more. It covers foundational concepts, major models like GPT, DALL·E, Stable Diffusion, and tools such as ChatGPT, Midjourney, and GitHub Copilot. The course combines theory with practical labs, focusing on real-world use cases in business, content creation, and automation.

Welcome to the official Generative AI Training and Certification certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in Middle East & Africa. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic understanding of Artificial Intelligence / Machine Learning concepts

• Familiarity with Python programming (for advanced tracks)

• No prior experience with generative AI tools is required

• Prompt engineering

• Use of tools like ChatGPT, Midjourney, Bard, DALL·E, and Stable Diffusion

• Understanding large language models (LLMs) and diffusion models

• Creative content generation (text, images, code)

• Using APIs for generative tasks

• Ethics and responsible AI usage

By the end of the course, participants will be able to:

• Understand how generative AI models work (text, image, code generation)

• Use popular tools like ChatGPT, DALL·E, and Stable Diffusion

• Apply generative AI in business, education, design, and software development

• Evaluate the strengths and risks of generative models

• Build simple generative apps using APIs (e.g., OpenAI, Hugging Face)