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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

MIT xPRO’s Designing and Building AI Products and Services programme is designed for entrepreneurs and tech professionals in AI. The course offers holistic insights into AI’s applications and design principles implied across numerous industries. Offered in partnership with Emeritus, this 8-week training primarily revolves around explaining AI tech tools and fundamentals, allowing you to explore the design processes involved in various AI-based products.

As you progress through the Designing and Building AI Products and Services course syllabus, you’ll learn how to create AI-based product proposals to present to your internal investors or stakeholders. MIT’s renowned faculty use in-depth examples and data to teach you the numerous stages in designing AI-based products, along with the essentials of deep learning and Machine Learning algorithms. Upon course-end, you’ll know how to use these to solve practical problems.

Moreover, the Designing and Building AI Products and Services online course enhances your knowledge via demos, design-support activities, and crowdsourcing. You’ll gain market-ready skills to evaluate AI solutions’ opportunities and make the cases for them.

Lastly, MIT xPRO will also award you the Designing and Building AI Products and Services certificate, should you meet its eligibility requirements.

The Highlights

MIT xPRO’s offering
MIT’s prestigious faculty
Crowdsourcing
Design-support activities
Demonstrations
Online curriculum
8-week programme
6 hours/week required
Industry-recognised certificate offered
E-certification
Flexible payment options

Programme Offerings

Taught by MIT’s prestigious faculty members
MIT xPRO’s certification
Design-support activities
Demonstrations
Crowdsourcing
AI project proposal development
8-week online programme

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	MIT Cambridge

The Designing and Building AI Products and Services program fee is $2,950.
You can pay in 2 or 3-installment EMIs.

Designing and Building AI Products and Services course fee structure

Course Fee Payment Type	Amount in USD
Upfront payment	$2,950
2-instalment EMI	$1,565 + $1,444
3-instalment EMI	$1,115 + $991 + $992

Eligibility Criteria

While there are no hard-and-fast enrolment requirements, knowledge of linear algebra, calculus, probabilities, statistics, and basic Python experience, will be beneficial to complete the Designing and Building AI Products and Services training.

Plus, you must score 75% in the curriculum to get a passing grade and obtain the Designing and Building AI Products and Services course certificate.

What you will learn

Machine learningKnowledge of Artificial Intelligence

The Designing and Building AI Products and Services certification syllabus develops your skills in: -

The four stages of AI product design
Identifying applicable AI tech to improve organisational procedures
Analysing operational and technical requirements to create AI models
Designing AI products to solve organisational problems
Differentiating between varying ML algorithms
Knowing and tackling probable challenges when designing AI products
Designing intelligent human-machine interfaces
Applying ML methods to practical problems
Assessing AI opportunities in numerous fields like education and healthcare
Implementing the Lawler Model to define AI problems and identifying critical steps to create an organisation case
Identifying operational challenges and proposing technical solutions for them
Designing and creating executive summaries of AI processes or products via the AI design process model

Who it is for

UI Designer

The Designing and Building AI Products and Services programme is ideal for these professionals within the AI domain: -

Technical product managers
Technology professionals
Founders of AI startups
Technology consultants
UI/UX designers

Admission Details

Click here - https://executive-ed.xpro.mit.edu/designing-building-ai-products-services - to access the Designing and Building AI Products and Services programme.
Scroll down to find the ‘Apply Now button and click on it.
Enter your registered email and password to log in. If not, enter the required details and hit ‘Create Account.
The course application form will appear on-screen.
Fill up the details and hit ‘Next’.
Pay the curriculum fee to enrol.

Application Details

The Designing and Building AI Products and Services programme application requires your full name, residential address, city name, ZIP code, state, and country of residence. You must also provide your nationality, phone number, gender and confirm if you’re a citizen of the selected country. Plus, you must enter your work experience details, i.e., number of years, recent compensation (in USD), job function, company, industry, and job title.

The Syllabus

Stages involved in designing an AI-based product with a focus on specifics such as the cost metrics and technical requirements of an AI software development plan.

Identify various machine learning algorithms and study the different approaches such as Bayesian and regression models.
Unsupervised and semi-supervised methods of machine learning algorithms.
Run and analyze the results from various machine learning algorithms.

Building on the knowledge of machine learning fundamentals gained in Week 2
The basics of deep learning.
Neural networks, artificial neurons, and simulation of complex networks

Identify superhuman intelligence used in an AI product.
Compare and contrast the advantages and disadvantages of using an AI technology.

Use the resources provided in this module to understand the techniques, application areas, benefits, and drawbacks of HCI.
Define an appropriate level of machine involvement in interactions with humans and computers.
Seek ways to use artificial intelligence to your advantage.

An introduction to the concept of superminds
Compare and contrast the different types of superminds.
How humans and machines can work together to surpass the sum of their parts.
Apply cognitive processes to various organizations and community problems.

How artificial intelligence and Generative Adversarial Networks (GANs) can be used to generate fake images and videos from real data.
Assess the technical, social, and economic impact of AI technologies.

Implement the Lawler Model to define an AI problem.
Design and construct a summary of an AI product or process using learnings from the previous modules of the program.

Instructors

MIT Cambridge Frequently Asked Questions (FAQ's)

1: When does this course begin?

The Designing and Building AI Products and Services training commences on multiple occasions each month hence applicants are required to keep visiting the official website.

2: Who’s the course faculty member?

Brian Subirana, Director at MIT Auto-ID Lab, will be this programme’s faculty member.

3: How will I receive my certificate?

You will receive the e-certificate via email.

4: Who should I contact regarding the programme?

You can contact course authorities via mit@emeritus.org.

5: Will 4 hours per week be enough to finish the course?

You must dedicate at least 6 hours/week to complete the training properly.