Programme Overview
Anudaksh delivers university-integrated future-skills education through IIT-led teaching, practical laboratories, mentored projects, and research-aligned outcomes.
What we teach
Learning Domains
Cross-disciplinary coverage for undergraduate and postgraduate learners.
AI & Machine Learning
Application-oriented coursework with industry-aligned projects.
Data Science
Open-source, industry-relevant practical learning across semesters.
Semiconductors & VLSI
Microelectronics and design automation for indigenous systems.
IoT & Embedded Systems
From prototypes to proof-of-concept and startup readiness.
Security
Future-ready secure systems for national infrastructure.
Blockchain
Distributed systems for trusted digital ecosystems.
Quantum Computing
Emerging compute paradigms for next-generation R&D.
Bioinformatics
Computational methods at the intersection of biology and technology.
Detailed syllabi will be published per domain. Course catalog: Browse courses
How we teach
Curriculum & Pedagogy
From fundamentals to prototypes and industry readiness.
Programmes span IoT, embedded systems, VLSI, data science, AI/ML, and bioinformatics, enabling students to build prototypes, proof-of-concepts, and industry-ready solutions, with pathways toward entrepreneurship where appropriate.
Theory
Structured insight into each subject, connecting fundamentals to advanced topics so learners build durable conceptual understanding.
Practical
Hands-on experiments and research applications that bridge classroom knowledge with real-world systems and projects.
Independent project
Mentored project work to build confidence, corporate readiness, and research orientation under expert supervision.
Hands-on by design
Practical laboratories and mentored projects sit at the centre of every course.
Live academic delivery
Courses delivered by faculty from leading institutes and industry experts.
Supervised project work
Hands-on projects mentored by faculty and domain experts.
Research internships
Online research internships with academic and industry mentors from IITs/NITs/IIITs.
Publication pathway
Opportunities to publish in peer-reviewed research journals from IEEE/ACM/Springer/Elsevier and international conferences.
Flagship course
6-Month Course on AI & Machine Learning
In collaboration with UnLoX
The AI/ML toolkit you graduate with
Month 1
Foundations & data wrangling
Python mastery, NumPy and Pandas, and the essential mathematics of AI: linear algebra, calculus, probability, and statistics.
Exploratory data analysis on a real-world dataset.
Month 2
Classical machine learning
Supervised and unsupervised learning across regression, classification, clustering, and PCA, with evaluation metrics and pipeline optimisation.
End-to-end classification pipeline with Scikit-Learn.
Month 3
Deep learning & neural networks
Neural networks from the perceptron up: PyTorch, CNNs for computer vision, transfer learning, RNNs/LSTMs, and NLP basics.
Custom PyTorch image classifier.
Months 4-5
Research internship
Internship begins with a group research project: formulating a research problem and building the solution under faculty supervision.
Research problem formulated and solved as a group.
Month 6
Paper writing
Writing up the research outcome for publication, closing the journey from first line of Python to peer-reviewed output.
Research paper based on the internship outcome.
In collaboration with UnLoX
Structure
UG / PG Pathways
Semester-integrated structure for universities and engineering colleges.
Undergraduate pathway
40+40 hours per semester · 6 semesters
Broad technology foundation and prerequisite skills across domains.
Postgraduate pathway
40+40 hours per semester · 4 semesters
Domain-specific depth aligned with industrial use cases and research.
Experimental teaching follows a multi-level design that ensures baseline practical competence while offering platforms for advanced innovation.