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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.
📘 Researchers • 🎓 PhD Scholars • 🧪 Industry R&D
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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
Blue Bioeconomy & Aquaculture LCA: Tools for Climate-Smart Coastal and Marine Food Systems
🗓 Jan 21, 2026
AI
Advance Artificial Intelligence Certification: Mechanics, Ethics, and Impact
🗓 Jan 26, 2026
AI
AI-Driven Insect Immunology: Enhancing Pest Control Through Advanced Biotechnological Solutions
🗓 Jan 27, 2026
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R Programming: Basic to Advanced
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Learn from Expert Mentors
Connect with industry leaders and academic experts who are passionate about teaching
DR G. RESHMA
Department of Information Technology | Assistant Professor | PVPSIT | 17+ years experience
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About DR G. RESHMA
Dr. G. Reshma is an Assistant Professor in the Department of Information Technology at PVPSIT. She received her Ph.D. in Computer Science Engineering from Acharya Nagarjuna University in 2021 and worked as a Assistant Professor in PVPSIT Institute/University for 17 Years. She is having 8 Years of Experience in the field of Data Analytics. Her area of expertise includes: Predictive Analytics, Data Mining, Data Science, AI. She is the author of Prologue to Artificial Intelligence Techniques-Predicting the future. Recipient of Young Researcher Award 2020 by International Association of Research and Developed Organization on March 2020. A total of papers 14 in various SCIE, SCOPUS indexed, Springer Series AISC These publications have got 10 citations and h -index of 3.
Areas of Expertise
Assistant Professor
Department of Information Technology,
Predictive Analytics, Data Mining, Data Analytics
Experience & Education
–
Acharya Nagarjuna University
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Testimonials from Researchers & Professionals
Thank you for good lecture
Aleksandra Kuliga
In Silico Molecular Modeling and Docking in Drug Development
Excellent orator and knowledgeable resourceful person
Ranvir Singh
Green Catalysts 2024: Innovating Sustainable Solutions from Biomass to Biofuels
the workshop was very good, thank you very much
Sandra Wingender
AI and Ethics: Governance and Regulation
Mentor is highly knowledgeable well equipped with all skills and very good information
LAXMI K
Carbon Nanotubes and Micro Needles : Novel Approach for Drug Delivery Systems
The mentor was clear and informative, and was also open to providing further help or clarification after the session.
Savina Mariettou
Great course. Thank you very much.
Abdul Mueed Hafiz
AI-Powered Multi-Omics Data Integration for Biomarker Discovery
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.