Instaviv Applied AI Lab Programs

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Instaviv Applied AI Program Overview

The Instaviv Applied AI Courses Program is founded by Mr. Vedant Ahluwalia, Stanford University MS focused on Artificial Intelligence where he worked with several leading figures and served on various boards and councils. Since then he has been the Vice President of Stanford Angels, setup a globally first exclusive centre with the Government of Maharashtra inaugurated by Forbes Billionaire list member, setup the worlds first applied AI lab at esteemed Mayo College where school students built product competing with engineers and beyond college students that was appreciated even by a dean of Stanford University, and at a country leadership level. It is a program devised with a cause in mind to ensure efficiency in bringing AI to production, bridging the digital divide in the world, and ensuring AI is accessible to all. Causing the same movement as caused by Steve Jobs’ introduction of the operating system for computing, this approach and course teaching methodology is poised to reimagine bringing AI competency in record timelines. The courses are custom curated based on industry demand by Dataviv Certified instructors and students are taught with the Dataviv exclusive cloud operating system or the physical integrated Mayo Model experiential learning system. The courses are followed by different levels of certification in AI for the students highlighting their qualities to engineers, and certificates preserved are available on the platform to ensure smooth access to Ai talent for all corporates helping students succeed in jobs.

The program is available for all levels that are hoping to get the most in demand applied Ai skills, every course culminates into a project, and the project is certified building your track record with Dataviv that is accessible to employers showcasing your edge in building AI for them. These are exclusive startups and fast growth companies apart from corporates that have a need for talent that can hit the ground running in AI, and have hands on knowledge of delivering solutions on the operating system.

Teaching Methodology and Course Content

Experiential Learning

Experiential Learning

Learn experientially through the Physical Applied AI Lab the latest AI that culminates in a project related to AI.

Past Projects

Past Projects

Projects done in past include fire detection, Pothole detection, LLMs Teachers, Face Disease detection, Disease detection in crops, and more.

Course Materials

Course Materials

Course materials are case studies relating to various AI understanding how they work, fail, experience them first hand, and more.

Hands On Component

Hands On Component

Hands on learning with the OS to enable students to train their own model allowing them to have confidence in the AI process.

Pre-Requisities

Pre-Requisities

There are no particular pre requisites, and students of all skills and ages are welcomed to join the program and rise in the AI era.

Course Outcomes

Course Outcomes

Learn how to apply AI for various fields, building ai end to end of production level, using the operating system and certification.