Designing and Building AI Products and Services offered by MIT University
- Private University
168 acre campus- Estd. 1861
Designing and Building AI Products and Services at MIT University Overview
Designing and Building AI Products and Services
at MIT University
Implement the Lawler Model for defining an AI problem and identify key steps to build an organization case
Duration | 8 weeks |
Total fee | ₹1.95 Lakh |
Mode of learning | Online |
Course Level | UG Certificate |
Designing and Building AI Products and Services at MIT University Highlights
Designing and Building AI Products and Services
at MIT University
- Earn a certificate and 5 Continuing Education Units (CEUs) from MIT xPRO
- Insights and examples from renowned MIT faculty
- Market-ready skills for evaluating the opportunity for AI solutions
- Advance your knowledge through crowdsourcing, demos, and design-support activities
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Designing and Building AI Products and Services at MIT University Course details
Designing and Building AI Products and Services
at MIT University
Who should do this course?
- For Technical Product Managers
- For Technology Professionals
- For Technology Consultants
- For Founders of AI Startups
- For UI/UX Designers
What are the course deliverables?
- Learn the four stages of AI product design
- Identify applicable AI technologies to improve organizational processes
- Analyze technical and operational requirements to build AI models
- Differentiate between various machine learning algorithms
- Design AI products to solve organizational issues
- Learn about challenges you may encounter when designing AI products
More about this course
- This program will help you understand design principles and applications of AI across various industries
- The goal is for you to create an AI-based product proposal, which can be presented to your internal stakeholders or investors
- You will learn the various stages involved in the design of AI-based products, and the fundamentals of machine and deep learning algorithms, and apply the insights to solve practical problems
Designing and Building AI Products and Services at MIT University Curriculum
Designing and Building AI Products and Services
at MIT University
Week 1: Introduction to the Artificial Intelligence Design Process
Week 2: Artificial Intelligence Technology Fundamentals ? Machine Learning
Week 3: Artificial Intelligence Technology Fundamentals ? Deep Learning
Week 4: Designing Artificial Machines to Solve Problems
Week 5: Designing Intelligent Human-Computer Interaction (HCI)
Week 6: Superminds: Designing Organizations that Combine Artificial and Human Intelligence
Week 7: Marketplace Frontiers of AI Design: Research
Week 8: Marketplace Frontiers of AI Design: Practice
Designing and Building AI Products and Services at MIT University Faculty details
Designing and Building AI Products and Services
at MIT University
Brian Subirana
Brian Subirana has taught at MIT Sloan and the MIT School of Engineering and he is also on the faculty of Harvard University. His research centers on IoT and AI, and focuses on manufacturing, e-learning, the creative industries, and digital health
Andrew Lippman
Andrew Lippman heads the Viral Communications research group at MIT Media Lab. His work has ranged from digital video and entertainment to graphical interfaces, networking and blockchains.
Stefanie Mueller
Stefanie Mueller is the head of the Human Computer Interaction Communities of Research (HCI CoR) at MIT CSAIL. In her research, she develops novel hardware and software systems that advance personal fabrication technologies.
Duane Boning
Boning's research focuses on modeling and control of variation in manufacturing, including IC, photonics, and MEMS processes, devices, and circuits. Her interests include statistical and machine learning methods for design and manufacturing in advanced technologies.
Designing and Building AI Products and Services at MIT University Entry Requirements
Designing and Building AI Products and Services
at MIT University
Eligibility criteria
- Prerequisite: Knowledge of calculus, linear algebra, statistics, and probabilities is beneficial, along with basic Python experience
Conditional Offer
- No
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Designing and Building AI Products and Services at MIT University Contact Information
Designing and Building AI Products and Services
at MIT University
Address
77 Massachusetts Ave, Cambridge, MA 02139, USA
Cambridge ( Massachusetts)
Phone
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