Current
Intermediate
How to AI (Almost) Anything
MIT OpenCourseWare · MIT OpenCourseWare · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
Spring 2025 (self-paced materials)
Classes
15
Graduate-level MIT OCW course on applying AI across multimodal real-world data domains with notes, readings, and written assignments.
What you'll get
Learn practical approaches to multimodal AI applications
Study course notes and readings from an MIT class
Complete written assignments for deeper understanding
Explore advanced AI problem framing
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Graduate-level AI interest; background helpful
Pricing
Free
Certification
No
Growth Leverage: Completing 'How to AI (Almost) Anything' can lead to roles such as AI Engineer, Data Scientist, or Machine Learning Specialist, particularly in multimodal AI applications. The skills gained can also enhance qualifications for advanced certifications like AWS Certified Machine Learning or Google's Professional Data Engineer, opening doors in tech companies and research institutions.
Skills Value: The course teaches skills in multimodal AI application, which are highly sought after, as companies increasingly use AI for diverse data types. Professionals in this area can command salaries averaging $120,000, addressing issues in data integration, predictive analytics, and real-time decision-making.
MIT OCW
Multimodal AI
Graduate
Applied AI