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Machine Learning (ML): Systems that learn from data to make predictions or decisions.
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Deep Learning: A subset of ML using neural networks for tasks like image and speech recognition.
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Natural Language Processing (NLP): Enables machines to understand and generate human language.
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Computer Vision: Allows computers to interpret and analyze visual data from the world.
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Robotics: Combines AI with hardware to perform tasks autonomously.
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Expert Systems: Mimic human decision-making using rule-based logic.
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Reinforcement Learning: AI learns by trial and error to achieve goal.
Stuti Agrawal replied | 2 days ago
A Diploma in English may suffice for foundational or informal English teaching, especially for younger students or ESL contexts. However, for formal, structured teaching at middle to senior secondary levels, a Bachelor’s degree or higher is typically required, both for content mastery and to meet educational board standards.