IIT Mumbai

Artificial Intelligence

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  • Industry-Focused Curriculum
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Artificial Intelligence
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About this course

Artificial Intelligence focuses on building smart systems that can analyze data, recognize patterns, and deliver intelligent solutions with minimal human intervention. It helps organizations optimize operations, enhance user experiences, and make data-driven decisions. AI is widely adopted in areas such as automation, analytics, smart applications, and advanced technologies that drive digital transformation.

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Artificial Intelligence Career Transitions

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Data Science Course Syllabus

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Programming Essentials For Artificial Intelligence

  • Set up the coding environment, and install & configure Python on your system.
    00:00:00

    Set up the coding environment, and install & configure Python on your system.

  • Understand the basics of Python programming language.
    00:00:00
  • Learn the fundamentals of object-oriented programming using Python.
    00:00:00
  • Work on various hands-on to practice and further enhance your Python skills.
    00:00:00
  • Get introduced to SQL and also master various advanced SQL queries and constructs.
    00:00:00

    Get introduced to SQL and also master various advanced SQL queries and constructs.

  • Learn how to perform performance optimisation using SQL.
    00:00:00
  • Get engaged in multiple hands-on exercises to practice and master your SQL skills.
    00:00:00
  • Describe the process of loading and processing data.
    00:00:00

    Describe the process of loading and processing data.

  • Discuss the process of Data Manipulation and Data Visualization using Python.
    00:00:00
  • Work on various hands-on to practice data processing using Python
    00:00:00
  • Understand the concept of probability basics and discuss descriptive statistics for the summary.
    00:00:00

    Understand the concept of probability basics and discuss descriptive statistics for the summary.

  • Gain a solid understanding of inferential statistics for evidence based analysis and perform hands-on to master the topics.
    00:00:00
  • Get introduced to the Machine Learning concept and discuss the difference between supervised and unsupervised learning.
    00:00:00

    Get introduced to the Machine Learning concept and discuss the difference between supervised and unsupervised learning.

  • Describe the classification and regression algorithms in machine learning.
    00:00:00
  • Describe the classification and regression algorithms in machine learning.
    00:00:00
  • Discuss clustering and forecasting and also learn various advanced machine learning algorithms.
    00:00:00
  • Get introduced to the concept of deep learning and understand the basics
    00:00:00

    Get introduced to the concept of deep learning and understand the basics

  • Explore neural networks in deep learning.
    00:00:00
  • Explore neural networks in deep learning.
    00:00:00
  • Learn what a convolutional neural network is and also discuss recurrent neural networks.
    00:00:00

    Learn what a convolutional neural network is and also discuss recurrent neural networks.

  • Explore the concepts of image and text classification in artificial intelligence.
    00:00:00
  • Discuss the fundamentals of GenerativeAI and understand how long short-term memory (LSTM) and transformers work.
    00:00:00

    Discuss the fundamentals of GenerativeAI and understand how long short-term memory (LSTM) and transformers work.

  • Explore the BERT (Bidirectional Encoder Representations from Transformers), GPT (Generative Pre-Trained Transformers), & LLM (Large language models) language models.
    00:00:00
  • Get introduced to the concept of prompt engineering in Generative AI.
    00:00:00

    Get introduced to the concept of prompt engineering in Generative AI.

  • Learn how to write GenAI prompts for development and e commerce.
    00:00:00
  • Describe what text processing Is and also understand text classification & analysis.
    00:00:00

    Describe what text processing Is and also understand text classification & analysis.

  • Explore language modeling and learn how to build chatbots using natural language.
    00:00:00
  • Get introduced to computer vision.
    00:00:00

    Get introduced to computer vision.

  • Learn about computer vision object detection techniques using deep neural networks.
    00:00:00
  • Understand what reinforcement learning is and also explore its various methods.
    00:00:00

    Understand what reinforcement learning is and also explore its various methods.

  • Describe Markov Decision and Bandit and their use cases.
    00:00:00
  • The artificial intelligence capstone project will assess your approach to solving complex business problems using deep neural networks.
    00:00:00

    The artificial intelligence capstone project will assess your approach to solving complex business problems using deep neural networks.

  • Strategy building for the job search.
    00:00:00

    Strategy building for the job search.

  • Highlight your professional skills with an effective resume and LinkedIn profile under the guidance of top industry experts.
    00:00:00
  • Get top interview preparation tips & tricks from industry professionals.
    00:00:00

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