BTech in Computer Science & Artificial Intelligence _ Plaksha University

Plaksha University

BTech in Computer Science & Artificial Intelligence | Plaksha University  Computing systems will be pervasive and interface of human and artificial intelligence will be a source of future grand challenges and opportunities for innovation. At Plaksha, BTech in Computer Science & Artificial Intelligence (CSAI) is not a traditional Computer Science degree but combines a core in computer science with artificial intelligence, machine learning and human intelligence. From understanding foundations of computing systems like hardware and programming languages; mathematics behind data science, machine learning and deep learning; to building prototypes with large language models (LLMs) and applying novel models to state-of-the art applications, this curriculum enables students to leverage technology that exists today as well as push it further to create technology of the future.

Transcript

00:01Every day we see new breakthroughs happening in artificial intelligence.

00:04In the next year, half the development is going to be done by AI.

00:09In order to understand the magic, you need to understand what is happening in the background.

00:15CS AI program at Plaksha not only differs from engineering programs, it also differs

00:20from traditional CS programs with a very significant component of AI as part of the program.

00:26The way that the AI is developing, it's making changes not just in traditional fields where

00:31CS was having an impact, it's perhaps going to have a much larger impact on almost all

00:36facets of life.

00:38I'm currently teaching discrete mathematics here.

00:41This course introduces students to formal mathematical notations.

00:45It teaches students how to go about writing proofs, how to solve problems, which helps

00:51you build a strong foundation to study computer science.

00:56One is a deep learning course, which is a fundamental machine learning course.

00:59We talk about deep learning architectures, latest training paradigms across different types

01:04of applications.

01:05The second course is a web development using AI, so LLMs have become very powerful and we

01:10use LLMs to design websites from scratch, full stack, with both the backend and frontend.

01:16I also teach a course on geospatial data science, which uses the latest tools in Python and machine

01:20learning for geospatial data.

01:22One of the major projects I'm involved in is the project on building foundation models

01:28for robots.

01:29In fact, the idea of building a foundation model is to kind of build a similar model,

01:33similar capability for real world physical systems, which would enhance the scope of AI

01:38and what we can do with AI.

01:40These courses are geared around giving students a fundamental knowledge about HTI, about MLPR,

01:46these courses.

01:47But at the same time, they also introduce hands-on learning for students.

01:51So students work with actually a lot of different sensors and variables.

01:54They collect data.

01:55They work with AR, VR systems.

01:57And then they build around projects around these that are very much relevant for the industry.

02:01They go out and they showcase their projects at different fairs.

02:04They also go and meet industry leaders and some startups are also coming out very soon from

02:09these projects.

02:10One of my favorite courses is web development with AI.

02:13It's given me a flavor of regular software development with that added twist of how artificial

02:19intelligence can sort of benefit that, how you can sort of use the tools available at

02:23your disposal to better your outputs.

02:26With CSAI being able to learn core concepts in computer science as well as real world applications

02:32in artificial intelligence, whatever domain I go into, I'll be able to couple those concepts

02:38together and apply them in the real world.

02:41I think there are three career pathways primarily for our CSAI students.

02:45The first is to be able to do research.

02:47So many of our CSAI students, they do want to go ahead with grad school.

02:52The second is to be able to go and work in different kinds of industry and do AI in industry

02:58for different kinds of applications.

03:00Many of our students that they opt to is for entrepreneurship.

03:04So we also have a center for entrepreneurship, a minor in entrepreneurship.

03:07So many students enroll through that and then they start their startup journeys through

03:11that after production.

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