Ecole d’Ingénierie Digitale et d’Intelligence Artificielle (EIDIA)

By the end of the program, graduates will be well-versed in full stack development and AI, capable of designing, building, and deploying complete web applications with integrated AI functionalities. They will also be prepared to handle real-world challenges, continuously adapt to new technologies, and contribute effectively to interdisciplinary teams in the tech industry.

Ecole d’Ingénierie Digitale et d’Intelligence Artificielle (EIDIA)

• Ability to design and implement responsive, user-friendly web interfaces using HTML, CSS, and JavaScript.
• Mastery of modern front-end frameworks such as React.js or Angular, allowing for the creation of dynamic and efficient single-page applications.

• Expertise in server-side programming with Node.js and Express.js, enabling the development of scalable and secure backend services.
• Proficiency in database management, including SQL for relational databases and NoSQL for document-based databases like MongoDB.

• Knowledge of DevOps practices, including setting up and managing CI/CD pipelines for automated testing and deployment.
• Ability to deploy and manage applications on cloud platforms such as AWS, Azure, or Google Cloud, ensuring scalability and reliability.

• Understanding of key AI concepts, including machine learning, natural language processing, and neural networks.
• Hands-on experience in building and training AI models, and integrating AI functionalities into web applications.
• Capability to leverage data-driven insights and automation to enhance application performance and user experience.

• Knowledge of basic cybersecurity principles, ensuring the ability to identify and mitigate common vulnerabilities in web applications.

• Strong communication, teamwork, and problem-solving skills, essential for success in interdisciplinary and collaborative work environments.

1- Procédures de sélection :

Accès en première année :

• Candidats ayant validé les deux années préparatoires au cycle ingénieur.
• Candidats ayant réussi le concours national commun d’admission dans les établissements de formation d’ingénieurs et établissements assimilés.
• Titulaires des diplômes suivants : DEUG, DUT, DEUST, DEUP, Licence ou équivalent reconnus par l’Etat.

Accès en Deuxième année :

• Titulaires d’une licence ou équivalent reconnus et accrédité.

2- Procédures de sélection :

• Concours spécifique à l’établissement d’accueil :
• Etude du dossier
• Examen écrit
• Entretien 

• Centre de Calcul de Haute Performance.
• Salle Multimédia avec Tableaux Interactifs.
• Laboratoire d’Objets Connectés, Capteurs, Robots…
• Salle de Réalité Virtuelle

Graduates of the Full Stack Engineering and AI program will be well-equipped to occupy a variety of positions in the technology sector. Some potential career roles include:

• Full Stack Developer
• AI Engineer
• Front-End Developer
• Back-End Developer
• DevOps Engineer
• Data Scientist
• Software Engineer
• Cloud Engineer
• Product Manager (Tech)
• Technical Consultant
• Mobile Application Developer
• AI Product Manager

These positions leverage the diverse skill set acquired during the program, including full stack development, AI, DevOps, and cybersecurity, preparing graduates for a wide range of opportunities in the tech industry.