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Great Learning

Master Artificial Intelligence

via Great Learning

Overview

This AI fundamentals course equips you with the skills to apply AI, Machine Learning, and Deep Learning techniques to real-world challenges. You’ll gain a strong foundation in Machine Learning, learning how to implement supervised, unsupervised, and reinforcement learning models to solve business problems. You’ll also master Neural Networks, understanding how to train models using techniques like backpropagation to improve model performance. Additionally, you’ll explore the power of Computer Vision for image classification and Natural Language Processing for tasks like sentiment analysis and text extraction.Through hands-on projects, you’ll build and deploy AI models to classify sentiment in tweets using Recurrent Neural Networks (RNNs), recognize handwritten digits with Convolutional Neural Networks (CNNs), and classify clothing items using Computer Vision. These projects will help you develop key skills in deep learning, model evaluation, and data preprocessing. By the end of the AI Essentials course, you’ll be equipped to apply AI techniques to analyze and interpret data, solve business problems, and make data-driven decisions, enhancing your ability to contribute to AI projects in various industries.

Syllabus

  • Overview of Artificial Intelligence
    • Introduction to Artificial Intelligence, Machine learning and deep learning terminologies
  • Introduction to Machine Learning
    • Machine learning and it's types, Supervised Learning, Logistic Regression, applications of Unsupervised Learning and more
  • Introduction to Neural Networks
    • Deep Neural Networks and Building block of Neural Networks
  • Introduction to Computer Vision
    • Computer vision problems, Image Transformation, Convolution, Pooling and more
  • Introduction to NLP
    • Various Natural language processing tasks, Sentiment analysis, text extraction, and more
  • Introduction to Generative AI
    • Learn Generative AI basics, LLMs, model predictions, hallucinations, and hands-on ChatGPT demos for real-world business applications.
  • Guided Project 1 : Clothing Classification
    • Clothing Classification : Functional requirements and step-by-step guide
  • Guided Project 2 : Airline Sentiment using RNN
    • Airline Sentiment using RNN : Functional requirements and step-by-step guide
  • Guided Project 3 : Digit Recognition
    • Digit Recognition Project : Functional requirements and step-by-step guide
  • AI Engineer - Mock Interview
    • Personalised Mock interviews to land you an AI Engineer role

Taught by

Prof. Mukesh Rao and Dr. Abhinanda Sarkar

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