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Mastering AI-Powered Problem Solving

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What I will learn?

  • Understand the fundamentals of Artificial Intelligence and its applications.
  • Build machine learning models for predictive analytics.
  • Develop neural network architectures for deep learning tasks.
  • Create projects using Natural Language Processing and Computer Vision.
  • Utilize popular AI tools and frameworks like TensorFlow and PyTorch.
  • Design and deploy AI-driven solutions to solve real-world problems.
  • Gain awareness of ethical challenges and guidelines in AI development.

Course Curriculum

Machine Learning Fundamentals
Lesson 2.1: Types of Machine Learning (Supervised, Unsupervised, Reinforcement) Lesson 2.2: Key Algorithms and Use Cases Lesson 2.3: Hands-on: Building Your First ML Model

  • What is AI?
  • AI in Everyday Life
  • History and Evolution of AI
  • Introduction to AI

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₹100.00
  • Level
    Beginner
  • Total Enrolled
    1
  • Duration
    5 minutes
  • Last Updated
    December 21, 2024

A course by

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Material Includes

  • Pre-recorded video lectures and tutorials.
  • Downloadable course slides and notes.
  • Practical code examples and datasets.
  • Step-by-step project guides.
  • Access to interactive quizzes and assignments.
  • Certificate of completion.

Requirements

  • Basic understanding of mathematics, including linear algebra and statistics.
  • Familiarity with programming (Python recommended).
  • A computer with internet access and ability to install software.
  • Enthusiasm to learn and apply AI concepts.

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Target Audience

  • Individuals with little to no prior knowledge of AI who are eager to explore the field.