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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
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
AI-Driven Insect Immunology: Enhancing Pest Control Through Advanced Biotechnological Solutions
🗓 Jan 27, 2026
AI
Designing Sustainable Systems: From Energy Efficiency to Life Cycle Optimization
🗓 Jan 27, 2026
AI
AI-Powered Pest Control: Revolutionizing Insect Immunology for Sustainable Agriculture
🗓 Jan 27, 2026
AI
AI-Powered Smart Sensors and Biopolymers for Optimizing Agricultural Practices
🗓 Jan 28, 2026
AI
Blue Bioeconomy & Aquaculture LCA: Tools for Climate-Smart Coastal and Marine Food Systems
🗓 Jan 29, 2026
Course
Showing 313–320 of 425 results
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Nanotechnology in Oil Recovery: Revolutionizing Industrial Applications
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Biomedical Innovations through Bionanotechnology: Exploring Medical Applications
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From the Sea to the Lab: Understanding the Potential of Marine Biomaterials Course
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Digital Health and Therapeutics: Trends Analysis Course
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Clinical Trial Document Management: A Hands-On Course
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In Silico Molecular Modeling and Docking in Drug Development Course
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Next-Generation Sequencing Data Analysis using Galaxy Platform Course
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Learn from Expert Mentors
Connect with industry leaders and academic experts who are passionate about teaching
Dr. Dimple Thakar
Computer Science | Assistant Professor | Marwadi University | 20+ years experience
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About Dr. Dimple Thakar
Dr. Dimple Thakar is an esteemed Assistant Professor in Computer Science at Marwadi University, with a prolific 20-year academic career intertwined with over three years of industry experience in IT and software development. With a Ph.D. in Computer Science specializing in steganography, she is a recognized expert in her field.
Dr. Thakar has a deep commitment to education and research, reflected in her roles as Research Coordinator and NAAC criteria coordinator at the Faculty of Computer Application, where she also serves as the Program Coordinator for the BCA course. Her extensive teaching repertoire includes advanced subjects such as Data Structures, C#.NET, Design Analysis and Algorithms, and Object-Oriented Analysis and Design.
In her previous roles, she served as an Associate Professor at the Sunshine Group of Institutions, where she was also the Academic Head of the MCA department and coordinated various programs and cultural activities. Her early career includes significant stints as a lecturer at Geetanjali College and Matushri Virbai Mahila College, enriching her teaching experience.
Dr. Thakar is also notable for her contributions to the IT industry, having developed critical software solutions for sectors including banking and manufacturing, demonstrating her proficiency in a variety of programming languages and technologies.
Her scholarly contributions are substantial, with numerous papers published in international journals and conferences. She is an active member of the editorial board of the Journal of Applied Science and Engineering Research and serves as a reviewer and committee member on several international conferences.
A passionate mentor and educator, Dr. Thakar is dedicated to fostering research and academic excellence among her students, making her a vital asset to both her university and the broader academic and professional communities.
Areas of Expertise
Associate Professor
Computer Science, software development
Data Structures, C#, .NET, Design Analysis and Algorithms, Object-Oriented Analysis and Design.
Associate Professor
Sunshine Group of Institutions, Education
coordinated various programs and cultural activities
Experience & Education
–
Client Reviews
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Testimonials from Researchers & Professionals
Dr. Indra Neel was quite descriptive despite the limited time. He shared his wide experience and was kind enough to entertain all questions.
Amlan Das
It would be more helpful if the prerequisites for this workshop were made available to the participants atleast a day in advance so that all the installations are made by the participants and kept ready. That would allow the participants to work along side the instructions so that any issues can be resolved right away
Ekta Kamble
Bacterial Comparative Genomics
Dear teacher, thank you for the excellent presentations.
Your presentations and optimism related to nanomedicine make me look optimistically at the future of medicine.
Cristin Coman
Improving Implants: The Nano Effect, Nanomaterials in Medicine: Shaping the Future of Implant Technology, Nano materials in Medicine: Shaping the Future of Implant Technology
Though he explained all things nicely, my suggestion is to include some more examples related to hydrogen as fuel, and the necessary action required for its safety and wide use.
Pushpender Kumar Sharma
The Green NanoSynth Workshop: Sustainable Synthesis of NiO Nanoparticles and Renewable Hydrogen Production from Bioethanol
Some topics could be organized in different order. That occurred at the end of training in the last day when the mentor needed to remind one by one where is the ligand where is the target. It can be helpful to label components (files) like that and label days of training respectively.
Anna Ogrodowczyk
In Silico Molecular Modeling and Docking in Drug Development
thank you for the lecture and if l ever face any challenges will reach out
Tatenda Justice Gunda
Bacterial Comparative Genomics
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.