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artificial intelligence courses in delhi by jeetech academy

The artificial intelligence course provides a comprehensive introduction to the theory, concepts, and practical applications of AI. It typically covers topics such as machine learning, natural language processing, neural networks, computer vision, and robotics.

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artificial intelligence courses in delhi by jeetech academy

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  1. ARTIFICIAL INTELLIGENCE COURSES IN DELHI

  2. INTRODUCTION The artificial intelligence  course provides a comprehensive introduction to the theory, concepts, and practical applications of AI. It typically covers topics such as machine learning, natural language processing, neural networks, computer vision, and robotics.

  3. COURSE HIGHLIGHT • Introduction to AI  • Machine Learning  • Neural Networks & Deep Learning  • Natural Language Processing  • Computer Vision  • Robotics & Automation  • Ethics in AI  • Real-World Applications

  4. LEARNING OUTCOME • Understanding AI Fundamentals • Master Machine Learning Techniques • Design Neural Networks • Apply Natural Language Processing • Implement Computer Vision Solutions • Solve Problems Using AI • Analyze Ethical Implications • Hands-on AI Projects

  5. JOBS •   An Artificial Intelligence course opens up diverse career opportunities in fields such as technology, healthcare, finance, and more. Graduates can pursue roles like AI Engineer, Machine Learning Engineer, Data Scientist, and AI Researcher, where they develop intelligent algorithms and systems.

  6. FEATURE & FACILITY • Artificial Intelligence courses typically offer a range of features and facilities designed to enhance learning. Key features include hands-on labs, where students can work on real-world AI projects, access to powerful computing resources like GPUs for deep learning, and exposure to industry-standard tools such as TensorFlow, PyTorch, and cloud-based AI platforms.

  7. FAQ • Artificial Intelligence course in delhi FAQ addresses common questions such as the course prerequisites, which may include a background in programming and mathematics (especially in statistics and linear algebra). It explains the duration and format, whether it's online, in-person, or hybrid, and outlines the skills and tools students will learn, like machine learning algorithms and frameworks such as TensorFlow.

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