University Courses
We are excited to present a comprehensive suite of free classes designed exclusively for university students with a deep focus on Artificial Intelligence (AI). These classes provide a strong foundation in the core disciplines that underpin AI: Mathematics, Programming, and Algorithms.
Each class is structured to foster both theoretical understanding and practical skills, essential for excelling in the dynamic field of AI. Explore our classes and register to begin your journey towards becoming an AI expert.
Foundational Computer Science and Programming I
Introduction to Computer Science: Understand the basics of computing, algorithms, and data structures.
Foundational Computer Science and Programming II
Programming Fundamentals: Focus on Python, as it’s widely used in AI for its simplicity and powerful libraries.
Foundational Computer Science and Programming III
Data Structures and Algorithms: Essential for improving problem-solving skills and understanding computational efficiency.
Mathematics for AI I
Linear Algebra: Key for understanding data representation and manipulation.
Mathematics for AI II
Calculus: Essential for grasping how algorithms learn and adapt during training.
Mathematics for AI III
Statistics and Probability: Crucial for data analysis, model evaluation, and understanding randomness in AI.
Machine Learning I
Introduction to Machine Learning: Learn about supervised, unsupervised, and reinforcement learning.
Machine Learning II
Deep Learning: Dive into neural networks, CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), and transformers.
Machine Learning II
Practical Machine Learning Projects: Apply your knowledge to real-world datasets using libraries like TensorFlow or PyTorch.
Specialized AI Topics I
Natural Language Processing (NLP): Techniques for processing and understanding human language.
Specialized AI Topics II
Computer Vision: Methods for enabling computers to “see” and interpret images and videos.
Software Engineering and System Design for AI I
Software Engineering Best Practices: Learn version control (e.g., Git), testing, debugging, and deployment strategies.
Software Engineering and System Design for AI II
AI System Design: Understand how to architect and scale AI systems, including knowledge of cloud platforms like AWS, Google Cloud, or Azure for deploying AI models.
Ethics and Responsible AI
AI Ethics: Understand the ethical implications of AI, including privacy, bias, and fairness.
Responsible AI Development: Learn about designing and implementing AI systems responsibly and sustainably.
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Join Us
Whether you are a professional seeking to upskill, a student curious about machine learning, or an organization looking to train your team, LAMLA is here to guide you on your journey towards mastering machine learning. Join us in unlocking the potential of technology for a smarter, more innovative future.
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Phone
+1 (661) 817 – 7939
+961 (3) 696 560
Address
Bourj Hammoud Hwy,
Mouccari Bldg, 51
Lebanon
info@lamla.io