Careers360 Logo
Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure
Compare

Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesMIT Cambridge

The Syllabus

  • Identify the design stages and their purposes 
  • Find the right AI technology to improve a business purposes 
  • Appraise the technical as well as business requirements for a product 
  • Identify the long-term advantages and limitations of a product
  • Analyze the three types of AI cancers and how they affect an AI process or product

  • Differentiate between various machine learning algorithms and their uses 
  • Maximize the advantages of training, validation, and testing sets 
  • Run and analyze the results from Bayesian machine learning algorithms 
  • Learn to compare machine learning algorithms and identify the ones suitable for application

  • Explore the applications that use deep learning algorithms
  • Run implementations on convolutional, deep, and recurrent neural network algorithms 
  • Use neural network simulations to draw conclusions 
  • Run an implementation of a single- and a multilayer perceptron in Python 
  • Explore the structure and components of an artificial neuron

  • Assess the accuracy of an AI model 
  • Understand the approval processes of the Committee on the Use of Humans as Experimental Subjects (COUHES) and various institutional review boards (IRBs) for AI models 
  • Formulate crowdsourcing data strategies 
  • Review the superhuman intelligence used in an AI product or service 
  • Explore the advantages and disadvantages of using an AI technology

  • Understand the ins and outs of the framework 
  • Identify the various uses, advantages, and disadvantages of ingestible robots 
  • Develop an idea for an ingestible robot to solve a healthcare problem 
  • Study the crowdsourcing data strategies that exceed the limitations of AI

  • Identify the mechanisms involved in developing prosthetics for the human body and the communication gaps that occur in a given scenario
  • Study the developments in proprioception research and how it has evolved over the course of history 
  • Understand how communication plays a key role in developing prosthetics 
  • Learn the advantages of using exoskeletons

  • Recognize how data needs to be managed and the importance of flexibility and adaptability while creating an AI product
  • Identify the problem of model drift and how to overcome its challenges 
  • Study the advantages of silo work 
  • Hypothesize an AI product or service to solve a healthcare problem

Instructors

Articles

Download Careers360 App's

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

  • student
    300M+

    Students

  • colleges
    36,000+

    Colleges

  • exams
    550+

    Exams

  • ebook
    1500+

    E-Books

  • certification
    16000+

    Certifications

student
Mobile Screen

We Appeared in

Back to top