Welcome to the forefront of technological innovation! Paris Metropolitan University (PMU) presents an immersive journey into the realm of Artificial Intelligence (AI) and Machine Learning (ML). Our program is meticulously crafted to equip students with the knowledge and skills needed to shape the future of technology.
Foundations of AI and ML: Building Intelligent Systems
Module 1: Introduction and Supervised Learning
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Introduction to AI and ML: Dive into the foundations of AI and ML, understanding the core principles that drive innovation.
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Supervised Learning: Master linear regression, logistic regression, and decision trees, paving the way for intelligent decision-making.
Module 2: Unsupervised Learning and Neural Networks
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Unsupervised Learning: Explore clustering algorithms like K-Means, Hierarchical, and DBSCAN, along with dimensionality reduction techniques.
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Introduction to Neural Networks: Delve into the exciting world of feedforward neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).
Module 3: Deep Learning and Natural Language Processing (NLP)
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Deep Learning: Grasp advanced concepts with deep learning architectures, including CNNs and RNNs.
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NLP Fundamentals: Explore the foundations of natural language processing, a critical aspect of modern AI.
Module 4: Advanced Topics and Ethical Considerations
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Advanced Deep Learning Architectures: Delve into generative adversarial networks (GANs), reinforcement learning, and transfer learning.
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Time Series Analysis: Learn time series forecasting techniques.
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Ethical and Responsible AI: Understand the importance of ethical considerations in AI development.
Module 5: Large-Scale Data Processing and Model Deployment
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Advanced ML Topics: Cover Support Vector Machines (SVMs), ensemble methods, and recommender systems.
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Large-Scale Data Processing: Master Apache Spark for processing vast amounts of data.
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Deploying ML Models: Understand the practical aspects of bringing your models into the real world.
Module 6: Real-world Applications and Capstone Project
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Real-world AI Applications: Explore applications in computer vision, robotics, and autonomous systems.
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Capstone Project: Apply your skills to solve a complex problem using AI and ML.
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Industry Perspectives: Gain insights into emerging trends and perspectives from industry experts.
Shaping Future Innovators: The PMU Advantage
By the end of the program, PMU graduates are not just equipped with theoretical knowledge but have hands-on experience through projects and real-world applications. They are ready to contribute to AI research, tackle complex data-driven problems, and pursue impactful careers in data science, AI engineering, research, or further academic study in the field.
Ready to unleash the power of AI and ML? Apply Now and become part of a community at the forefront of technological advancement.
