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The AI Learning Platform for Researchers
250+ expert-curated AI programs built on scientific rigor and real-world applicability — designed to elevate academic researchers, doctoral scholars, and industry R&D professionals.
Participants From
Harvard University
Stanford University
MIT
University of Oxford
University of Cambridge
Caltech
Princeton University
Yale University
📘 Researchers • 🎓 PhD Scholars • 🧪 Industry R&D
Courses
Mentors
Participants
Why Researchers Trust NanoSchool AI
Research-Focused Curriculum
Every module is engineered to support publication-quality analysis, reproducible workflows, and high-level academic learning.
Led by Experts
Courses created and taught by seasoned professors, data scientists, and active researchers with real-world domain experience.
Structured Learning Ecosystem
1700+ programs across 27+ tracks, 200+ domains — aligned to scientific advancement and industry relevance.
AI Training Initiatives
Upcoming AI Workshops
AI
Hands-on Introduction to NGS Data Analysis: From Raw Sequencing Reads to Biological Interpretation
🗓 Sep 17, 2026
AI
Molecular Dynamics (MD) Simulations using LAMMPS/GROMACS: Predicting Mechanical & Thermal Properties
🗓 Sep 18, 2026
AI
Agentic AI for Industrial Digital Twins: Predictive Maintenance, Smart Sensors & Autonomous Operations
🗓 Sep 18, 2026
AI
AI-Powered Precision Agriculture: Remote Sensing, Satellite Data & Machine Learning for Crop Prediction
🗓 Sep 21, 2026
AI
Green Hydrogen 2.0: AI-Guided Electrocatalyst Discovery, Water Electrolysis & Techno-Economic Optimization
🗓 Sep 28, 2026
AI
AI-Powered Drug Discovery: Molecular Screening, ADMET and Lead Prediction
🗓 Sep 28, 2026
Course
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Automated Impact Reporting: LCA & Generative AI
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Predicting Efficiency (Exergy + Machine Learning)
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Federated Learning for Multi-Center Medical Image Diagnostics
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ML for Ocean Health: Monitoring Marine Ecosystems with AI
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Ocean Data Analytics: AI for Sustainable Marine Resource Management
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Predictive AI Models for Disaster Management and Climate Resilience
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AI-Designed Sustainable Conducting Polymers for Green Electronics
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Neuromorphic & AI Hardware with Nanomaterials: Memristors, RRAM & Synaptic Devices
Original price was: INR ₹4,999.00.INR ₹2,499.00Current price is: INR ₹2,499.00. Add to cart
Learn from Expert Mentors
Connect with industry leaders and academic experts who are passionate about teaching
Progyadipta Naskar
| Electronics & Communication Engineering Student | AI, Robotics, IoT & Space Communication Enthusiast | Central University of Karnataka | 2+ years experience
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About Progyadipta Naskar
I’m Progyadipta Naskar, an Electronics and Communication Engineering student passionate about AI/ML, robotics, embedded systems, IoT, antenna design, and space communication technologies.
I have worked on projects involving microstrip patch antennas, inter-satellite laser communication, AI-based healthcare systems, robotic automation, cybersecurity, and local LLM-based AI assistants. I have also gained experience through internships and opportunities with IIT Kanpur, IEEE EMBS Pune, CDAC Noida, and IEEE initiatives.
Along with research and project development, I enjoy teaching and mentoring students in AI, robotics, electronics, and IoT. My long-term interest lies in contributing to antenna research, RF systems, and space communication technologies.
Areas of Expertise
AI/ML and deep learning Robotics and embedded systems IoT and smart electronics Antenna design and RF systems Space communication technologies Cybersecurity and penetration testing Python, C/C++, Arduino, ESP32 Technical training in AI, robotics, electronics, and IoT
, Electronics & Communication Engineering Student | AI, Robotics, IoT & Space Communication Enthusiast
Python, C/C++, Arduino, ESP32, IoT, Robotics, Embedded Systems, AI/ML, Deep Learning, NLP, Ansys HFSS, CST Studio Suite, KiCad, COMSOL, Wireshark, Metasploit, Burp Suite
Experience & Education
2023 – 2027
B.Tech Student – Electronics & Communication Engineering AI, Robotics, IoT & Space Communication Research Enthusiast
Central University of Karnataka
GPA: 7.8/10 Focus areas: Electronics, Communication Systems, Embedded Systems, IoT, AI/ML, RF & Antenna Design Designed and fabricated a Microstrip Patch Antenna Developed projects in robotics, AI assistants, laser communication, cybersecurity, and EEG-based seizure detection Selected for IEEE MAPCON 2025 B.Tech Student Initiative IEEE SPACE 2026 Ambassador Published research on AI-based epileptic seizure detection using EEG signals
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Testimonials from Researchers & Professionals
mentor is highly skillful with indepth knowledge about the subject
LAXMI K
Carbon Fiber Reinforced Plastics (CFRPs)
The deep knowledge and experience in the field of biosensors was extremely valuable. The explanations were clear and understandable, which made it very easy to understand complex topics.
The examples of practical applications of biosensors in various industries were especially valuable. It helped to see how theory is translated into practice.
I am very pleased to have participated in this training and I believe that the knowledge I have gained will have real application in my work.
Małgorzata Sypniewska
NanoBioTech Workshop: Integrating Biosensors and Nanotechnology for Advanced Diagnostics, NanoBioTech Program: Integrating Biosensors and Nanotechnology for Advanced Diagnostics
Good! Thank you
Silvia Santopolo
Power BI and Advanced SQL Mastery Integration Workshop, CRISPR-Cas Genome Editing: Workflow, Tools and Techniques
It will be helpful to add some hands-on practice and video aid to clarify the idea better
Iftikhar Zeb
Designing and Engineering of Artificial Microbial Consortia (AMC) for Bioprocess: Application Approaches
Very nice lectures
VARDIREDDY JYOTSNA
Artificial Intelligence for Cancer Drug Delivery
Thanks for the very attractive topics and excellent lectures. I think it would be better to include more application examples/software.
Yujia Wu
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program
Frequently Asked Questions
AI (Artificial Intelligence) refers to systems that perform tasks requiring human-like intelligence — such as learning, reasoning, and decision-making. In AI courses, you typically learn basics of machine learning, neural networks, deep learning, data handling, practical tools, and real-world applications.
Not necessarily. Many beginner-friendly AI courses are designed to be accessible without prior technical experience. However, for advanced workshops, knowledge in Python, statistics, or basic math can be very helpful.
AI workshops vary widely: short hands-on sessions over a few days, multi-week live cohorts, or hybrid models with live sessions and self-paced modules. They can be beginner, intermediate, or advanced in level.
You should gain practical skills such as model building, data analysis, use of AI tools, project experience, and a certificate upon completion. Some programs also support portfolio projects or career guidance.
Yes — most reputable AI workshops include a certificate of completion that can be shared professionally. The recognition depends on the provider’s credibility and your network or industry.
Duration varies: short workshops may run 2–5 days; bootcamps and structured programs may extend over weeks or months with live sessions and projects.
Quality AI workshops typically include live sessions, Q&A, and mentor support — especially for cohort-based formats. Instructor access levels can vary by program.
Most AI programs accept online payments via major gateways (cards, UPI, PayPal) and may offer early-bird or group discounts. Workshops sometimes provide installment or corporate billing options.
Top AI workshops and bootcamps emphasize hands-on learning, practical exercises, and real data projects rather than just lectures or theory.
AI training can open roles such as Data Scientist, ML Engineer, AI Researcher, Business Intelligence Specialist, and domain roles like Predictive Analytics in specific industries — depending on depth and focus.