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Dr. Ravichandran
Chemistry | Professor and Head | DRK Institute of Science and Technology, Hyderabad. | 18+ years experience
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About Dr. Ravichandran
Dr. Ravichandran is Professor and Head, Department of Chemistry at DRK Institute of Science and Technology, Hyderabad. He earned his PhD (2006) from Madurai Kamaraj University and an MSc from Pondicherry University, and qualified GATE (95th percentile, 1998). With 18 years of teaching and research experience, he has published 175 international papers, holds 16 patents, and has authored 12 textbooks and 60 book chapters. A recipient of multiple national and international honours, his current focus is on developing greener, sustainable chemical methodologies.
Areas of Expertise
Editor-in-Chief
Editorial board member, journals
Chemistry Research, Sustainable Chemistry, Development of Greener Methodologies
Services Offer
Experience & Education
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Testimonials from Researchers & Professionals
nice work
Diego Ordoñez
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program
It was very interesting
Anna Gościniak
Green Synthesis of Nanoparticles and their Biomedical Applications
The mentor talked about the basics of microbial consortium and then explained their applications for bioprocess in detail. The Mentor explained the various topics with a clear and detailed approach.
Anirudh Gupta
Designing and Engineering of Artificial Microbial Consortia (AMC) for Bioprocess: Application Approaches
better
yfff yangfan
AI-Driven Bandgap Engineering for Efficient Solar Cells
Great knowledge and commitment to the topic.
Natalia Rosiak
In Silico Molecular Modeling and Docking in Drug Development
Excellent delivery of course material. Although, we would have benefited from more time to practice with the plethora of presented resources.
Kevin Muwonge
Scientific Paper Writing: Tools and AI for Efficient and Effective Research Communication
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.
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FREEDOM TO LEARN
•
10% OFF All Courses & Workshops
•
Use Code:
NANOINDIA10
•
⏳ Offer Ends In:
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Learn Today. Lead Tomorrow.
•
Explore Programs →