The Modern
AI Gurukul
Nurturing the next generation of Full Stack AI Architects. Small batches, deep mentorship, and real-world innovation.
Admission is selective. Interested candidates must clear our entrance tests and submit their profile.
Our Mission
Create structured in-depth training programs to nurture and create the next generation of AI professionals and scientists in India. In our RnD Lab, develop cutting-edge AI products and solutions that solve real-world challenges across industries.
Gurukul Concept
We work closely with small batches, fostering a deep, mentor-disciple relationship akin to the ancient Gurukul system.
Deep Learning
Go beyond the basics. Our programs cover advanced topics in neural networks and ML.
Global Community
Connect with like-minded innovators and experts from around the world.
Strategic Objectives
Our roadmap to empowering India's AI future.
Advance AI Innovation
Develop cutting-edge AI products and solutions that solve real-world challenges across industries.
Build AI Talent Ecosystem
Conduct structured in-depth training programs, and partnerships to nurture and create the next generation of AI professionals.
Promote Ethical & Responsible AI
Ensure that all AI initiatives prioritize transparency, fairness, and inclusivity.
Foster Industry Collaboration
Collaborate with academia, startups, enterprises, and governments to accelerate AI adoption and knowledge sharing.
Enable Scalable AI Adoption
Design AI solutions that are practical, affordable, and scalable for businesses of all sizes.
Drive Global Competitiveness
Position the company as a global leader in AI talent creation and product innovation.
Empower Society with AI
Use AI to improve quality of life, enhance productivity, and support sustainable development.
The Lab
A sandbox for your imagination. Experiment with state-of-the-art models in real-time.
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Interactive Playgrounds
No setup required. Run code directly in your browser.
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GPU-Accelerated
Access powerful compute resources for training and inference.
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Model Library
Pre-trained models ready for fine-tuning and experimentation.
import ai_lab as lab
# Initialize the model
model = lab.Transformer(
layers=12,
heads=8,
dim=512
)
# Train on your data
model.train(dataset='custom_data')
# Generate results
output = model.generate(
"The future of AI is..."
)
print(output)Our Programs
Designed by industry experts. From foundations to mastery in AI engineering.
Full Stack Engineering
Master modern web development (React, Node, Cloud) as the bedrock for AI apps.
Learn More →Applied AI Engineer
Deep dive into building and deploying scalable AI solutions for business problems.
Learn More →AI Product Innovation
From ideation to launch: Build real-world AI products in our RnD Lab.
Learn More →Admission Process
Join our elite cohort of AI innovators.
Entrance Test & Profile
Take our comprehensive entrance test and submit a detailed profile form to showcase your skills and background.
Review
Our team reviews your application to ensure you meet the prerequisites for our rigorous program.
Screening Session
Selected candidates are invited for a 1:1 screening session to assess technical fit and alignment with our vision.