Best institute for computer study.. good infra & environment plus knowledgeable teachers.
AI courses cover a mix of theoretical, mathematical, and practical subjects, focusing on building intelligent systems. Core topics typically include machine learning, deep learning, NLP, computer vision, and robotics, often using Python, TensorFlow, and PyTorch. Foundational subjects involve linear algebra, probability, statistics, and data structures.
An AI syllabus covers foundational math (linear algebra, stats)
programming (Python)
core machine learning (supervised/unsupervised learning, neural networks)
Deep Learning
NLP
Computer Vision
Robotics, and essential ethical considerations, often with practical projects in areas like Generative AI,
Data Science, MLOps, and Big Data, building from basics like data structures to advanced applications.
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