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Artificial Intelligence

Artificial Intelligence

About The Course

Explore the future of technology with our comprehensive AI course! Designed for beginners and professionals alike, this program dives into the fundamentals of Artificial Intelligence, covering key concepts such as machine learning, deep learning, natural language processing, and computer vision. You’ll gain hands-on experience with real-world projects, guided by industry experts, to build practical skills that are in high demand across various sectors. Whether you’re looking to enhance your career or start a new journey in AI, our course offers the knowledge and tools you need to succeed in this exciting and rapidly evolving field.

The Course Curriculam

MODULE 1:Introduction to AI Overview of artificial intelligence. Historical context and milestones, Types of AI: Narrow vs. General AI

MODULE 2:Machine Learning Basics Introduction to machine learning Supervised, unsupervised, and reinforcement learning Linear regression and logistic regression.

MODULE 3:More Machine Learning Techniques Decision trees and random forests Support vector machines (SVM) Clustering algorithms: K-means, hierarchical clustering.

MODULE 4:Neural Networks and Deep Learning Introduction to neural networks Deep learning fundamentals Building blocks of deep neural networks: neurons, layers, activations.

MODULE 5:Convolutional Neural Networks (CNNs) Understanding CNN architecture Applications in image recognition and computer vision.

MODULE 6:Recurrent Neural Networks (RNNs) and Natural Language Processing (NLP) Introduction to RNNs Applications in sequence modeling, text generation, and sentiment analysis.

MODULE 7:Reinforcement Learning Introduction to reinforcement learning (RL) Markov decision processes (MDP) and Bellman equations Q-learning and policy gradients.

MODULE 8: AI Ethics and Responsible AI Ethical considerations in AI Bias and fairness in AI systems Transparency, interpretability, and accountability.

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