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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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Customers served! 100 + Courses

Courses

Customers served! 100 + Mentors

Mentors

Customers served! 100 + Participants

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-Powered Life Cycle Assessment Dashboards
🗓 Jan 24, 2026

AI

Smart Sensors: 1D-CNNs and Signal Processing for Spectroscopy
🗓 Jan 25, 2026

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 Smart Sensors and Biopolymers for Optimizing Agricultural Practices
🗓 Jan 27, 2026

AI

Designing Realistic Instrument Sounds: Modal Synthesis & Spectral Intelligence
🗓 Jan 28, 2026

AI

From Patch to Product: Turning Physical Models into Plugins
🗓 Jan 28, 2026

AI

Machine Learning & IoT for Precision Agriculture: A Hands-On Research Workshop
🗓 Jan 28, 2026

AI

Blue Bioeconomy & Aquaculture LCA: Tools for Climate-Smart Coastal and Marine Food Systems
🗓 Jan 29, 2026

View All Workshops

Course

View All Courses

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

Good workshop

Noelia Campillo Tamarit
Generative AI and GANs

Great course. Thank you very much.

Abdul Mueed Hafiz
AI-Powered Multi-Omics Data Integration for Biomarker Discovery

The mentor was supportive, clear in their guidance, and encouraged active participation throughout the process.

António Ricardo de Bastos Teixeira
Large Language Models (LLMs) and Generative AI

All correct. Thank you very much for your suggestions and help during the course.

María Martínez Ranz
In Silico Molecular Modeling and Docking in Drug Development

You explained everything very well. The Q&A sessions were very useful, sir. Thank you.

Mohamed Rafiullah
In Silico Molecular Modeling and Docking in Drug Development

Very pleasant, calm, willing to help and explain further if something wasn’t clear, hopefully will have opportunity for some cooperation in future.

Alisa Bećin

Frequently Asked Questions

1️⃣ What is AI and what will I learn in an AI workshop/course?

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.

2️⃣ Do I need a programming or technical background to join?

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.

3️⃣ How are AI workshops structured (duration, delivery, levels)?

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.

4️⃣ What outcomes can I expect after completing an AI workshop?

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.

5️⃣ Are certificates included and are they recognized?

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.

6️⃣ How long will it take to complete an AI course/workshop?

Duration varies: short workshops may run 2–5 days; bootcamps and structured programs may extend over weeks or months with live sessions and projects.

7️⃣ Will I have access to instructors or mentors?

Quality AI workshops typically include live sessions, Q&A, and mentor support — especially for cohort-based formats. Instructor access levels can vary by program.

8️⃣ What payment options and modes are accepted?

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.

9️⃣ Is the content hands-on with projects and real datasets?

Top AI workshops and bootcamps emphasize hands-on learning, practical exercises, and real data projects rather than just lectures or theory.

🔟 What career paths are supported by completing AI training?

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.

Get In Touch

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