يهدف قانون العمل الجزائري إلى تنظيم العلاقة بين العمال وأرباب العمل، ويحدد حقوق وواجبات الطرفين، من بينها شروط التوظيف، ساعات العمل، والأجور، وضمان حقوق العمال في الإجازات والتأمينات الاجتماعية. فيما يخص الشركات الناشئة، عملت الجزائر على إصدار قوانين تحفيزية لدعم الابتكار والمقاولاتية، مثل قانون المالية 2020 الذي قدم تسهيلات ضريبية ومزايا لدعم تأسيس هذه الشركات وتسهيل إجراءات التمويل. كما أطلقت الحكومة صندوق تمويل خاص لدعم رواد الأعمال والمشاريع الصغيرة والمتوسطة. تهدف هذه الإجراءات إلى خلق مناخ أعمال جاذب يسهم في الحد من البطالة وتنمية الاقتصاد. إضافةً إلى ذلك، يتم دعم المقاولين الشباب عبر وكالات حكومية مثل "الوكالة الوطنية لدعم تشغيل الشباب" والتي تقدم تمويلات ومرافقة مستمرة.
This course is intended for second-year Master's students specializing in Artificial Intelligence and its Applications (IAA).
The objective of this module is to introduce the field of Knowledge Engineering to students and enable them to use knowledge modeling techniques and design computer applications using a knowledge-based methodology.
This course introduces the fundamental concepts and techniques of deep learning, a key area of artificial intelligence. Students will explore how neural networks learn from data and how deep architectures can be used to solve complex problems such as image recognition, natural language processing, and data classification.
The course covers both theoretical foundations and practical implementation using modern tools and frameworks. Through lectures, tutorials, and hands-on labs, students will learn how to design, train, and evaluate deep neural networks, including convolutional and recurrent architectures.
By the end of the course, students will be able to build and optimize deep learning models and apply them to real-world AI applications.
- Learn the basics of computer vision.
- Introduce the student to apply computer vision techniques to real-world problems.
- Apply image processing, Machine Learning, and Deep Learning techniques to Computer Vision problems.
Natural Language Processing (NLP) courses
Teach how to build systems that understand and process human language by combining computer science, artificial intelligence, and linguistics. These courses cover foundational concepts like tokenization and text vectorization, and apply them to tasks such as sentiment analysis, machine translation, and text summarization.
Business Intelligence (BI) courses provide a comprehensive overview of transforming data into actionable information. They cover data collection, cleaning, analysis, visualization, and reporting. They aim to equip students with the skills needed to help organizations make better data-driven decisions by detecting trends and communicating information effectively.