Massachusetts Institute of Technology (MIT) Multiple locations
Boston , Massachusetts , United States
4.4 Read 54 reviews
Featured byMIT Professional Education
Overview
What you will study
Delivered through live-virtual online sessions, the course amplifies theoretical learning with hands-on, action learning activities and assignments that emphasize real-world application. The Applied Generative AI for Digital Transformation course offered by Massachusetts Institute of Technology (MIT) serves a broad audience, ranging from senior leaders and technology heads to managers and professionals across diverse domains such as innovation, sales, product management, marketing, and customer experience. It also welcomes investors interested in potential opportunities offered by Generative AI. The course encourages participation across sectors, providing immense value for those aiming to harness Generative AI to streamline workflows, drive product innovation, enhance customer experience, and comprehend investment potential.
Programme Structure
The program focuses on:
- Understand generative AI deeply, including its historical development.
- Discover how diverse domains like art, biology, emotional support, and learning apply Generative AI.
- Comprehend and implement prompt engineering to enhance productivity.
- Learn strategies for automating organizational workflows using Generative AI.
- Understand the dynamics of reinforcement learning and the power of data search in Generative AI.
- Navigate the ethical, compliance, and risk aspects associated with Generative AI.
- Understand potential digital transformation opportunities enabled by generative AI for your organization.
- Understand what it will take – from both technology and culture - to make AI work in your organization.
Key information
Duration
- Part-time
- 14 days
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Credits
1 alternative credits
Delivered
Online
Disciplines
Artificial Intelligence View 140 other Short Courses in Artificial Intelligence in United StatesWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Total alumni
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Senior leaders charged with informing decisions regarding generative AI initiatives for their organizations
- Technology leaders who want to learn current best practices for adopting and optimizing generative AI systems to boost business outcomes
- Senior managers and mid-career executives who want to gain insights into the potential applications of generative AI within their organizations
- Innovation managers, sales and product managers, and marketing and customer experience professionals who want to learn how to leverage generative AI to create new products, new content, and personalized customer experiences
- Investors in venture capital, private equity, or hedge funds looking to understand investment opportunities created by generative AI
- Professionals from all industries and sectors are welcome to create a dynamic learning ecosystem
Tuition Fee
To always see correct tuition fees
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International
3125 USD/fullTuition FeeBased on the tuition of 3125 USD for the full programme during 14 days. -
National
3125 USD/fullTuition FeeBased on the tuition of 3125 USD for the full programme during 14 days.
Funding
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