Artificial Intelligence

Day 26 Interview, Practical AI Q&A, 2025 AI Career Preparation

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Introduction Landing a role as a Deep Learning Engineer requires more than technical knowledge; it demands the ability to communicate complex concepts, solve real-world problems, and demonstrate hands-on expertise. At CuriosityTech.in, learners in Nagpur are trained to tackle technical interviews, discuss architecture choices, optimize models, and present projects effectively, ensuring they are well-prepared for competitive […]

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Day 19 – Case Study: Self-Driving Cars with Deep Learning

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Introduction Self-driving cars represent one of the most complex and transformative applications of AI and deep learning. These vehicles rely on computer vision, sensor fusion, reinforcement learning, and decision-making algorithms to navigate safely. At CuriosityTech.in, learners in Nagpur explore end-to-end autonomous vehicle pipelines, gaining hands-on experience in deep learning architectures, simulation environments, and real-world deployment

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Day 7 – Recurrent Neural Networks (RNNs) & LSTMs for Sequential Data

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Introduction While CNNs excel at understanding images, Recurrent Neural Networks (RNNs) and Long Short-Term Memory networks (LSTMs) are designed for sequential data. This includes text, speech, stock prices, and time series data. At CuriosityTech.in, learners explore RNNs and LSTMs through projects like sentiment analysis, stock prediction, and chatbot creation. By handling sequential patterns, students gain

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Day 15 – Hands-On Project: Image Classification with CNNs

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Introduction Image classification is a fundamental task in computer vision and a great way to learn Convolutional Neural Networks (CNNs). CNNs automatically extract features from images, eliminating the need for manual feature engineering. At CuriosityTech.in, learners in Nagpur build end-to-end CNN-based image classifiers, gaining hands-on experience in data preprocessing, model building, evaluation, and deployment, making

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Day 11 – Generative Adversarial Networks (GANs) for AI Engineers

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Introduction Generative Adversarial Networks (GANs) are among the most exciting breakthroughs in AI. Introduced by Ian Goodfellow in 2014, GANs allow machines to generate realistic data, including images, music, and even synthetic datasets for training other AI models. At CuriosityTech.in, learners in Nagpur experiment with GANs for projects like image generation, style transfer, and data

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Day 3 – Neural Networks 101: The Building Blocks of Deep Learning

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Introduction Every skyscraper rests on a solid foundation, and in the same way, deep learning rests on neural networks. If you understand neural networks deeply, every other concept—CNNs, RNNs, Transformers—becomes far easier. At CuriosityTech.in (Nagpur), where learners build their first AI projects before scaling to industry-level applications, the journey always begins with Neural Networks 101.

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