Get updates on Eligibility, Admission, Placements Fees Structure
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
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
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)
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.
Brian Subirana, Director at MIT Auto-ID Lab, will be this programme’s faculty member.
You will receive the e-certificate via email.
You can contact course authorities via mit@emeritus.org.
You must dedicate at least 6 hours/week to complete the training properly.