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AI Fundamentals

Prepare for a future driven by artificial intelligence with our premier AI Fundamentals Course in Bangalore.
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Course Duration: 60h
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About Course

Our AI Fundamentals Course provides a comprehensive overview of the key concepts and techniques in artificial intelligence, equipping you with the knowledge and skills to tackle real-world AI challenges. Whether you’re looking to kickstart a career in AI or enhance your existing skill set, this course will empower you to make meaningful contributions to AI. To excel in our AI Fundamentals Course, participants should have a basic understanding of mathematics, statistics, and programming fundamentals. No prior experience in AI is required, but a passion for learning and a curiosity about AI technologies are essential.

What you’ll learn

     Foundations of AI: Gain a deep understanding of the foundational concepts of artificial intelligence, including problem-solving, knowledge representation, and reasoning.

     Machine Learning Essentials: Dive into the core principles of machine learning, covering topics such as regression, classification, clustering, and dimensionality reduction.

     Neural Networks and Deep Learning: Explore the inner workings of neural networks and delve into deep learning principles, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

     Natural Language Processing (NLP): Learn how to process and analyze human language using AI techniques, including tokenization, parsing, sentiment analysis, and named entity recognition.

     Computer Vision Fundamentals: Discover how AI enables machines to interpret and analyze visual information, with applications ranging from image classification to object detection and image generation.

     Ethics and Bias in AI: Examine the ethical considerations surrounding AI development, including fairness, accountability, transparency, and bias mitigation.

     Real-World Applications: Explore real-world applications of AI across diverse domains, including healthcare, finance, marketing, robotics, and autonomous systems.

Requirements

  • To excel in our AI Fundamentals Course, participants should have a basic understanding of mathematics, statistics, and programming fundamentals.

Course Content

Introduction to Artificial Intelligence (4 hours)

  • Overview of AI
  • History and Evolution
  • Types of AI
  • Applications of AI

Machine Learning Fundamentals (12 hours)

Neural Networks and Deep Learning (14 hours)

Natural Language Processing (NLP) (10 hours)

Computer Vision Fundamentals (10 hours)

Ethics and Bias in AI (4 hours)

Real-World Applications (6 hours)

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Course level:All Levels
Course Duration: 60h
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Last Updated:March 8, 2024

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