The National Telecommunication Institute (NTI) celebrated the graduation of 909 trainees from the second advanced level batch of the 'AI Ambassadors' program. This program is organized in collaboration with the 'Engineers for Sustainable Egypt' Foundation, as part of initiatives aimed at equipping non-specialists with AI techniques and their practical applications across various professional fields.
The graduation ceremony took place at the NTI headquarters, located within the Creativa Digital Egypt Innovation Center in Giza. Dr. Ahmed Khattab, Director of the National Telecommunication Institute, and Eng. Mohamed Kamel, Head of the 'Engineers for Sustainable Egypt' Foundation, attended the event, alongside several leaders from both the Institute and the Foundation.
The launch of this advanced level program is a continuation of a comprehensive training pathway, responding to the growing demand from graduates of the basic level. It aims to deepen participants' practical understanding of AI applications and empower them to use advanced tools and techniques to improve work environments and boost institutional performance. The program focuses on skills like automation, predictive analytics, designing smart solutions, and making data-driven decisions.
The program includes advanced training content covering the latest AI concepts and technologies, such as neural networks and deep learning. It also introduces No-Code AI tools like Google Vertex AI, as well as natural language processing and generative AI applications using tools like ChatGPT.
Furthermore, the training covers how to use smart automation techniques through platforms like Zapier and Make. It also includes AI-powered productivity tools such as Gemini, Copilot, and DeepSeek, all designed to enhance performance efficiency and speed up task completion within organizations.
The program also delves into designing smart workflows using advanced automation tools like Automation Anywhere, Power Automate, and ChatGPT API interfaces. It simplifies concepts of predictive analytics, classification, regression, and clustering techniques, making them accessible for non-specialists to use in their workplaces.
The program pays special attention to modern generative AI applications, including deepfakes and how to detect and deal with them. Participants also complete an integrated practical project across various sectors like business, health, education, and government services. This practical approach strengthens their skills and enables them to apply what they've learned to develop innovative solutions that benefit their organizations and communities.
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