Building AI Products and Services

Get acquainted with the 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. Learn about unsupervised and semi-supervised methods of machine learning algorithms. Run and analyze the results from various machine learning algorithms. Additionally, Gain insights to apply AI to uncover genetic disease predispositions.

Inclusion of Mini lessons

• Investigate classifiers like linear models, decision boundaries, and the impact of feature engineering.

• Grasp the "Train, Validate, Test" methodology to avoid the pitfalls of training error.

• Understand Bayesian classifiers through a five-step prediction method.

• Compare logistic regression with support vector machines (SVMs) for binary classification

Delve into unsupervised clustering techniques like k-means for natural data grouping.

Building on the knowledge of machine learning fundamentals gained in Week 2, explore the basics of deep learning. The topics include neural networks, artificial neurons, and simulation of complex networks. Furthermore, Discover Dr. Regina Barzilay's work on using AI to detect breast cancer, and understand Tempo, an AI detection application leveraging multimodality.

Details from Mini lessons

• Learn about artificial neurons and gradient descent, and understand the structure and function of artificial neural networks. Gain insights into multi-layer perceptrons (MLPs) and prepare to implement both single- and multi-layer perceptrons.

• Explore autoencoders, including their construction and implementation. Implement convolutional neural networks (CNNs) and get ready to run CNN applications. Learn about recurrent neural networks (RNNs) and their use in handling sequential data for tasks like speech recognition and language translation.

Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology. You will also, learn about the implementation and design of AI, including creating avatars through image creation and voice cloning.

Understand the first stage of transformers in natural language processing (NLP) architecture, that convert written text into tokens for processing. Study the second stage of transformers, where tokens are converted into vectors that capture the meaning of text. Explore the possibilities and limitations of Generative AI when decoders are added to transformer architecture.

Analyze a case study on AI limitations in gynecological decision-making. Discuss errors in image generation and language processing, and learn technical approaches to address these limitations.

Exploring AI applications, from optimizing NLP embeddings and prompt engineering to evaluating benchmarks, improving business processes, and assessing AI’s role in expert decision-making

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

Get an introduction to the concept of superminds, and compare and contrast the different types of superminds. Analyze how humans and machines can work together to surpass the sum of their parts. Apply cognitive processes to various organizations and community problems.

Learn 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.

How much time is required each week?

Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.

How will my time be spent?

We have designed this AI program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:

• Engaging with recorded video lectures from faculty

• Attending webinars and office hours, as per the specific program schedule

• Reading or engaging with examples of core topics

• Completing knowledge checks/quizzes and required activities

• Engaging in moderated discussion groups with your peers

• Completing your final project, if required

The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.

What is it like to learn online with the learning collaborator, Emeritus?

More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.

A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

How do I interact with other program participants?

Peer learning adds substantially to the overall learning experience and is an important part of this AI program. You can connect and communicate with other participants through our learning platform.

What is the relationship between Emeritus and MIT xPRO?

Emeritus and MIT xPRO collaborate to create and deliver educational programs. None of these programs are Title IV-eligible.

What are the requirements to earn the certificate?

Each artificial intelligence course includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.

This artificial intelligence course is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements.

What type of certificate will I receive?

Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete.

Can I get the hard copy of the certificate?

No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.

Do I receive alumni status after completing this program?

No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.

How long will I have access to the learning materials?

You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

What equipment or technical requirements are there for this program?

Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.

Do I need to be online to access the program content?

Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

Can I still register if the registration deadline has passed for this artificial intelligence course?

Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.

What is the program fee, and what forms of payment do you accept?

The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

• Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).

• Tuition assistance is available for participants who qualify. Please email mit.xpro@emeritus.org

What if I don’t have a credit card? Is there another method of payment accepted for this artificial intelligence course?

Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.

I was not able to use the discount code provided. Can you help?

Yes! Please email us with the details of the program you are interested in, and we will assist you.

How can I obtain an invoice for payment?

Please email us your invoicing requirements and the specific program you’re interested in enrolling in.

Is there an option to make flexible payments for this program?

Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.

How can I obtain a W9 form?

Please connect with us via email for assistance.

Who will be collecting the payment for the program?

Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.

Are there any restrictions on the types of funding that can be used to pay for the program?

Program fees for Emeritus programs with MIT xPRO may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.

Refund Policy

• Policy Communication:

  Emeritus’ Withdrawal, Refund and Deferral policies are communicated to all learners (both existing and prospective) via the Emeritus website and Learning Management System. It is the learner’s responsibility to review, be aware of and adhere to these policies.

• Withdrawal for Non-delivery of Course:

  Emeritus will notify learners in writing if (a) the course will not commence on the scheduled course commencement date; (b) the course will not be completed by the scheduled course completion date; or (c) the learner does not meet the course entry or matriculation requirement as set by Emeritus or the university. Within three (3) working days of such notice, Emeritus will inform learners in writing of any available alternative study arrangements.

If a learner declines the offered alternative study arrangements, if any, or desires to otherwise withdraw from the course for the reasons stated in paragraph 2 above, the learner shall request a withdrawal from Emeritus within fifteen (15) calendar days. Upon receipt of the withdrawal request and validation of eligibility, Emeritus shall refund the learner 100% of course and miscellaneous fees previously paid by the learner, except that course application fees are non-refundable and non-transferable. Emeritus shall use commercially reasonable efforts to make such refund within seven (7) working days from receipt of the withdrawal request from learner.

• Withdrawal for Other Reasons:

  If the learner wishes to withdraw from the course or program for any reason other than those stated in paragraph 2 above, the following provisions shall control all withdrawal requests:

Absent a previous approved request for deferral for the course, learners may request a full refund of all course and miscellaneous fees paid, within fourteen (14) days after course commencement. Application fees for courses are non-refundable and non-transferable. Learners who have previously been granted a course deferral are not eligible for a refund for the course. Partial (or pro-rated) refunds are not offered. Emeritus shall use commercially reasonable efforts to make a valid refund within seven (7) working days from receipt of the withdrawal request from learner.

Emeritus reserves the right, in its sole discretion, to dismiss a learner from a course or program at any time and to provide a refund to the learner pursuant to the stated refund policy in paragraph 2 above. Learners who are dismissed from a course or program due to a violation of Emeritus’ Code of Conduct are not entitled to any refund.

• How to Submit a Valid Withdrawal Request:

  All withdrawal requests must be sent in writing within the timelines specified in paragraphs 2 or 3 above to:

  admissions@emeritus.org

All refunds will be paid directly to the original payer only, unless written and signed instruction is provided by the original payer to pay the refund to an account belonging to a person other than the original payer.

• Bank Charges/Transaction Fees:

  In the event of an approved refund, Emeritus will refund the course fee collected and will not be liable to refund any foreign transaction fees, processing charges, or any other bank fees.