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Why Learn Ai?
In an era where artificial intelligence is reshaping industries, diving into AI offers the chance to harness the power of cutting-edge technologies to solve complex problems and drive innovation.
Learn the fundamentals of machine learning algorithms and their applications. The lesson covers supervised and unsupervised learning, including algorithms like regression, classification, and clustering.
Understanding Neural Networks:
Explore the basics of neural networks and their structure. The lesson includes concepts such as layers, activation functions, and how neural networks are used for tasks like image and speech recognition.
Implementing Deep Learning Models:
Discover how to build and train deep learning models using frameworks like TensorFlow or PyTorch. The lesson covers constructing complex models, tuning hyperparameters, and evaluating model performance.
Exploring Natural Language Processing (NLP):
Learn about natural language processing techniques and their applications. The lesson includes text processing, sentiment analysis, and language models for tasks like translation and summarization.
Applying AI in Computer Vision:
Understand how AI is applied to computer vision tasks. The lesson covers image classification, object detection, and image segmentation techniques used in applications like autonomous vehicles and facial recognition.
Implementing Reinforcement Learning:
Explore reinforcement learning concepts and algorithms. The lesson includes training agents to make decisions through trial and error, and applying methods like Q-learning and deep Q-networks (DQN).
Evaluating AI Models:
Learn how to evaluate the performance of AI models. The lesson covers metrics like accuracy, precision, recall, and F1 score, and methods for validating and testing models.
Ethical Considerations in AI:
Understand the ethical implications of AI technologies. The lesson includes discussions on bias, fairness, privacy, and the societal impact of AI systems.
Implementing AI Projects:
Discover how to manage and implement AI projects from start to finish. The lesson covers project planning, data collection, model development, and deployment.
Staying Updated with AI Trends:
Learn how to keep up with the latest trends and advancements in AI. The lesson includes resources for continued learning and how to integrate emerging technologies into your work.
JOIN THE COURSE
Course Overview:
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Introduction to AI: |
March 19, 2025
by
M.Junaid Faheem
Understand the fundamentals of Artificial Intelligence, including its history, key concepts, and various applications.
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Machine Learning Basics: |
March 19, 2025
by
M.Junaid Faheem
Explore the fundamentals of machine learning, including supervised and unsupervised learning, algorithms, and models.
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Deep Learning: |
March 19, 2025
by
M.Junaid Faheem
Delve into deep learning techniques, including neural networks, convolutional networks, and advanced architectures.
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Natural Language Processing (NLP): |
March 19, 2025
by
M.Junaid Faheem
Learn about NLP techniques for processing and understanding human language, including text classification and sentiment analysis.
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AI in Robotics: |
March 19, 2025
by
M.Junaid Faheem
Explore the integration of AI in robotics, including perception, decision-making, and autonomous systems.
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AI Ethics and Governance: |
March 19, 2025
by
M.Junaid Faheem
Discuss the ethical considerations and governance issues related to AI development and deployment.
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AI Tools and Frameworks: |
March 19, 2025
by
M.Junaid Faheem
Gain hands-on experience with popular AI tools and frameworks, such as TensorFlow, PyTorch, and scikit-learn.
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AI Project Development: |
March 19, 2025
by
M.Junaid Faheem
Work on real-world AI projects to apply your knowledge and skills, from conception to deployment.
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Future of AI: |
March 19, 2025
by
M.Junaid Faheem
Explore the future trends and emerging technologies in AI, including advancements in AI research and applications.
Class Venue
24 Hudson St, New York, NY 10014
Room 32
