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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | MIT 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
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30 Aug'24, 12:10 PM
28 Aug'24, 04:33 AM
28 Aug'24, 04:30 AM
14 Jul'24, 05:31 PM
11 May'24, 11:28 AM
13 Mar'24, 06:24 AM
4 Mar'24, 09:29 AM
29 Feb'24, 06:05 AM
27 Feb'24, 10:32 AM
13 Feb'24, 06:25 AM
13 Sep'24, 12:47 PM
13 Sep'24, 12:05 PM
13 Sep'24, 09:25 AM
13 Sep'24, 04:10 AM
12 Sep'24, 11:09 AM
12 Sep'24, 06:41 AM
12 Sep'24, 06:07 AM
11 Sep'24, 12:40 PM
11 Sep'24, 11:30 AM
11 Sep'24, 11:08 AM
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