This training program is accredited.
In the digital age, data science and artificial intelligence are cutting-edge sectors at the forefront of technology. By choosing this path, you will be able to design machines capable of learning, analyzing data, and predicting events. As such, you will undergo training in machine learning, big data, data processing, and more. This will equip you with the skills to pursue careers such as data analyst, artificial intelligence engineer, data scientist, and more.
For more information, contact Ms. Samia SAGAR
- Algorithms and Data Structures
- Engineering Mathematics
- Web Development & UX/UI Design
- Computer Networks 1: CCNA 1 Certification
- Data Modeling
- Computer Architecture and Low-Level Programming
- Fundamentals of Cloud Computing
- Cybersecurity
- Advanced Operating Systems
- Programming Workshop (Python)
- Object-Oriented Programming
- French 1
- English 1
- Embedded Systems and Internet of Things (IoT)
- Computer Graphics and Virtual Reality
- Advanced Web Development
- Cybersecurity
- Advanced Algorithms and Dynamic Data Structures
- C Programming Workshop
- Computer Networks 2: CCNA 2 Certification
- Fundamentals of Cloud Computing
- Advanced Object-Oriented Programming
- Object-Oriented Modeling
- Database Workshop
- Introduction to Artificial Intelligence
- French 2
- English 2
- Software Architecture & Design Patterns
- Cloud Infrastructure
- Front-End Development
- NoSQL Databases
- Foundations of Artificial Intelligence
- Data Analysis
- Object-Oriented Python
- Machine Learning
- Data Mining
- Integration Project (AI Project)
- French
- English
- Agile Methodologies
- Cloud Computing (Preparation for Amazon Certification)
- Preparation for HCIA-AI Certification
- Deep Learning
- APIs & Web Services for AI
- Python for Data Science
- Stochastic Models
- Final Year Project (PFA)
- Computer Vision
- Big Data I (Hadoop/MapReduce)
- Azure Certification
- French
- English
- DevOps / MLOps
- Business Intelligence & Data Visualization (Microsoft Certification – Exam PL-300: Power BI)
- Natural Language Processing (NLP)
- Big Data II (Spark)
- Agentic AI
- Pattern Recognition (Image Recognition)
- Generative AI
- Robotics
- Digital Marketing
- Blockchain
- Enterprise Service Bus (ESB)
- Engineering Law & Ethics
- Finance for Engineers
- Graduation Project.