Unlocking the value of AI for financial services, insurance, healthcare, and other highly regulated industries
June 21, 2022
6 weeks
8 hours per week
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Designing and Building AI Products and Services for Regulated Industries starting on June 21, 2022 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.Deploying the right AI technologies in your organization can help you automate routine tasks, gain insights through data analytics, and deliver greater value to customers. However, scaling AI and machine learning initiatives also comes with unique challenges for professionals in regulated industries who want to design products in a transparent and responsible way.
The Emeritus course Designing and Building AI Products and Services for Regulated Industries is for technology, design, and data professionals involved in building AI products. In this course, learners will get the opportunity to advance their understanding of AI fundamentals and ethics. This will ensure that their practices for designing AI products in regulated industries are compliant and responsible.
Upon successful completion of this course, participants will receive a certificate from Emeritus.
Advance understanding of AI and machine learning concepts by:
of global CEOs state digital transformation technologies, including AI, will be their top area for long-term investments.
technology jobs — mainly in the area of digital transformation – will be added globally over five years.
Get an introduction to the most sophisticated language prediction model of our time.
Observe how GANs, a deep learning architecture that can generate realistic image, video, and voice outputs, are applied in the media production field.
Analyze the industry use case that applies artificial intelligence to detect early onset of COVID-19 and Alzheimer’s disease.
Explore a real-world application where AI assists in the development or improvement of a Human-Computer Interaction interface.
This six-week program is ideal for professionals who work in regulated industries (specifically financial services, insurance, healthcare, life sciences, oil and gas, and energy) who want to enhance their understanding of AI technology fundamentals and tools and explore various design processes involved in AI-based products. Knowledge of calculus, linear algebra, statistics, and probabilities is beneficial, as is basic Python experience.
Teaching From AI Experts
Leverages research, perspectives, and content from MIT xPRO and thought leaders in regulated industries
Real-Time and Real-World Application
Practical assignments and projects where learners can apply skills to current industry challenges and regulatory considerations for AI
Collaborate With Your Peers
Support, feedback, and networking from fellow professionals who are building AI products in regulated industries
With content from faculty at MIT xPRO, along with insights and perspectives from guest speakers with relevant industry expertise, you’ll learn how to apply key concepts and applications to your specific industry.
Director, Auto-ID Labs; Director, MIT and Accenture Convergence Initiative for Industry and Technology
X-Career Development Assistant Professor, MIT Electrical
Clarence J. Lebel Professor, Electrical Engineering and Computer Science
Managing Director, MIT Machine Intelligence for Manufacturing and Operations (MIMO)
This program is designed to equip you with the skills to broaden your understanding of AI-based solutions.
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.
Building on the knowledge of machine learning fundamentals gained in Week 2 and explore the basics of deep learning. The topics include 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. Learn to define an appropriate level of machine involvement in interactions with humans and computers. Seek ways to use artificial intelligence to your advantage.
Design and construct a summary of an AI product or process for a regulated industry, using learnings from the previous modules of the program.
Experts predict that AI in 2022 will bring intensifying regulatory scrutiny, with implications across regulated industries. Learn how to interpret regulations through critical checkpoints of the AI lifecycle and what actions your organization can take to help ensure current and future compliance.
Note: This course will touch on regulatory topics such as: GDPR, CCPA, CDPA
Examine use cases of AI algorithms and machine learning models gone wrong, the major risks posed to the companies that created them, and what organizations can do to manage the potential downside of AI technologies.
Examine the unique challenges that AI presents to trust and ethics, and learn what you can do to combat the problems that AI creates and properly mitigate these new risks through ethical practices.
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.
Design and construct a summary of an AI product or process for a regulated industry, using learnings from the previous modules of the program.
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.
Experts predict that AI in 2022 will bring intensifying regulatory scrutiny, with implications across regulated industries. Learn how to interpret regulations through critical checkpoints of the AI lifecycle and what actions your organization can take to help ensure current and future compliance.
Note: This course will touch on regulatory topics such as: GDPR, CCPA, CDPA
Building on the knowledge of machine learning fundamentals gained in Week 2 and explore the basics of deep learning. The topics include neural networks, artificial neurons, and simulation of complex networks.
Examine use cases of AI algorithms and machine learning models gone wrong, the major risks posed to the companies that created them, and what organizations can do to manage the potential downside of AI technologies.
Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology.
Examine the unique challenges that AI presents to trust and ethics, and learn what you can do to combat the problems that AI creates and properly mitigate these new risks through ethical practices.
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.
Deliver Personalized Learning Across Your Organization With a
Private Cohort
Level up your team’s AI capabilities through a personalized, flexible, and private cohort specific to your company goals. Interested in learning more?
This program is designed to equip you with the skills to broaden your understanding of AI-based solutions. The program will help you to:
Get recognized! Upon successful completion of this course, you’ll receive a certificate from Emeritus.
Download BrochureNote: This online certificate program does not grant academic credit or a degree from MIT xPRO.
Artificial Intelligence Is Transforming
The Way We Live, Work, Travel, and Do Business
Equip your team with the skills to broaden your understanding of AI-based solutions.
