New Program
B.Tech in
Artificial Intelligence and Computing (AIC)
A next-generation B.Tech program that integrates AI model development, systems engineering, and large-scale computing infrastructure to prepare students for real-world AI deployment.
Why AIC?
India is rapidly investing in AI infrastructure and innovation. With strong government initiatives and increasing industry adoption, there is a rising demand for professionals who both develop AI models and build the systems that deploy them at scale, not just design algorithms.
At present, there is a shortage of skilled engineers who understand both AI and the computing systems that support it. This program is designed to bridge that gap by combining AI expertise with systems and computing knowledge, enabling students to work across the complete AI lifecycle.
Experienced faculty with expertise across AI, systems engineering, and large-scale computing guide students through both theoretical foundations and real-world applications. Industry experts contribute to teaching and curriculum design, ensuring the program remains aligned with current practices and deployment needs.
Graduates of this program will be well-prepared for roles in AI development, including Machine Learning Engineer, NLP Engineer, and Computer Vision Engineer, as well as roles in AI systems, such as AI Engineer, AI Systems Engineer, ML Platform Engineer, GPU Development Engineer, MLOps Engineer, and Cloud Infrastructure Engineer.
Program
B.Tech (AIC)
Duration
4 years
Total Credits
140
Focus
AI + Systems + Infrastructure
What is AIC?
Behind every AI application is a complex ecosystem of high-performance computing, large-scale servers, and advanced software systems, often running in data centers across the world. In this AIC program, students learn the complete lifecycle of AI applications, from developing AI models to deploying and running them on high-performance computing systems.
AI Models
Machine learning, deep learning, and generative AI.
Systems Engineering
Operating systems, distributed systems, and performance optimization.
Infrastructure
Cloud, high-performance computing, and edge AI.
Key Features
Full AI Stack Focus
Unlike traditional data science programs, AIC emphasizes the entire AI pipeline, from algorithm development to system deployment.
Hardware-Software Co-design
Gain expertise in both the software (AI algorithms) and the hardware (accelerators, distributed systems) needed for modern AI.
System Engineering for AI
Learn to build and manage the infrastructure required for training and deploying large-scale AI models.
Industry-Ready Curriculum
Faculty and industry experts shape courses to match current practices and real-world deployment needs.
AI Pathways: AIC and DSAI
The Data Science and AI (DSAI) program centers on data science, focusing on extracting insights using statistical analysis, preprocessing, feature engineering, visualization, and predictive modeling. The AIC program focuses on the hardware and software infrastructure needed to deploy and run AI applications at scale, including distributed systems, edge computing, and performance optimization. This opens opportunities in AI systems and infrastructure engineering.
IIIT Dharwad BTech Programs
IIIT Dharwad offers BTech Programs in both AI Pathways, DSAI and AIC, along with Computer Science & Engineering, and Electronics & Communication Engineering.
AI Capability Pyramid and Educational Coverage
AI Applications
NLP Systems, Computer Vision, Healthcare AI, FinTech AI
AI Models
Machine Learning, Generative AI
AI Models
Deep Learning, Reinforcement
AI Infrastructure & Systems
Cloud AI Platforms, HPC Clusters for AI, Distributed Systems, Edge AI Computing
Critical skill gap
in modern AI systems engineering
Computing Systems
Computer Architecture, Operating Systems, Networking, Storage Systems
Electronic Hardware & Devices
Semiconductors, Sensors, Embedded Systems, Communication hardware
Modern AI progress increasingly depends on scalable computing infrastructure, creating a demand for engineers trained in AI systems and infrastructure.
B.Tech Data Science & AI
Models & Applications
B.Tech AI & Computing
AI Infrastructure
Computer Science & Engineering (CSE)
Computing Systems
Electronics & Communication Engineering (ECE)
Hardware
DSAI focus
Data pipelines, modeling, and decision analytics.
AIC focus
Systems, compute, and deployment at scale.
Shared foundation
Strong math, programming, and AI core courses.
Data Science & AI (DSAI)
32 Core Credits- Data Curation Techniques3 Cr
- Statistical Programming2 Cr
- Data Handling and Visualization3 Cr
- Artificial Intelligence4 Cr
- Machine Learning4 Cr
- Database Management and Warehousing4 Cr
- Data Security and Privacy4 Cr
- Big Data Analytics4 Cr
- Deep Learning4 Cr
AI and Computing (AIC)
38 Core Credits- Computer Systems and Organization3 Cr
- Introduction to AI and Computing2 Cr
- Analysis3 Cr
- Computing Paradigms3 Cr
- Mathematics for AIC3 Cr
- Machine Learning Paradigms4 Cr
- Edge Computing AI Systems3 Cr
- Computational Tools for AI2 Cr
- Numerical Analysis2 Cr
- Cloud AI systems3 Cr
- Deep Learning4 Cr
- Reinforcement Learning3 Cr
- High-Performance AI Systems3 Cr
Career Opportunities
Future-Proof Your Career
Training in full AI stack systems engineering opens doors to highly sought-after roles at top technology companies, cloud providers, and semiconductor giants.
Graduates are equipped for both AI model development and AI systems engineering roles across industry and research labs.
Curriculum Overview
Courses tagged as AIC are part of the Discipline Core for the B.Tech in AI and Computing program.
| Course Name | Type | Credits |
|---|---|---|
| Probability | Maths and Stats | 2 |
| Statistics | Maths and Stats | 2 |
| Open Elective-I | OE | 2 |
| HSS/IE-English Language & communication | HSS/IE | 3 |
| Problem Solving through Programming | Engineering Core | 4 |
| Computer Systems and Organization | AIC | 3 |
| Introduction to AI and Computing | AIC | 2 |
| Course Name | Type | Credits |
|---|---|---|
| Linear Algebra | Maths and Stats | 2 |
| Optimization | Maths and Stats | 2 |
| Analysis | AIC | 3 |
| Open Elective-II | OE | 2 |
| HSS/IE-Economics | HSS/IE | 3 |
| Computing Paradigms | AIC | 3 |
| Data Structures and Algorithms | Engineering Core | 4 |
Frequently Asked Questions
How is AIC different from DSAI?
AIC focuses on the full AI stack, including model development, systems engineering, and computing infrastructure for deployment at scale. DSAI focuses mainly on building AI models for data analysis and applications, with less emphasis on the underlying systems and hardware.
Will I still learn AI models?
Yes. You will learn how to develop AI and machine learning models, along with how to deploy and run them efficiently on real systems.
What companies hire AIC graduates?
Technology companies, cloud providers, semiconductor companies, and startups working in AI, such as Google, Microsoft, Amazon, NVIDIA, and Intel.
Is this future-proof?
Yes. As AI adoption grows, there is increasing demand for engineers who can not only build models but also run them efficiently on large-scale systems.
Will I get jobs in AI?
Yes. You will get jobs in AI development roles such as Machine Learning Engineer, NLP Engineer, and Computer Vision Engineer. By pursuing BTech in AI and Computing you will also get opportunities in the system roles such as AI engineer, AI Systems Engineer, ML Platform Engineer, GPU Development Engineer, MLOps Engineer, and Cloud Infrastructure Engineer.
Faculty
Meet the faculty shaping AI, systems engineering, and large-scale computing at IIIT Dharwad.
View all facultyFor Parents
This program provides a future-ready career path with strong job prospects in a rapidly growing field. It combines core engineering knowledge with cutting-edge AI and computing skills, ensuring graduates are industry-ready from day one.
Contact
Explore the AIC program
Get the full curriculum details or connect with the programme coordinator.