MLOps: Machine Learning Operations 1 × INR ₹4,249.00 
AI for Environmental Sustainability 1 × INR ₹2,999.00 
Introduction to RNA-Seq Analysis 1 × INR ₹199.00 
Chemical Bioprocessing in Industrial Biotechnology 1 × INR ₹5,499.00 
3D Crime Scene Reconstruction and Imaging Cousre 1 × INR ₹5,499.00 
AI for LCA Automation: Real-Time Data, NLP & Predictive Impact Modeling 1 × INR ₹2,499.00 Subtotal: INR ₹20,944.00
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.
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Every module is engineered to support publication-quality analysis, reproducible workflows, and high-level academic learning.
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Connect with industry leaders and academic experts who are passionate about teaching
Dr. Shiv Kumar Verma is a Professor in the Department of Computer Science and Applications at Sharda University. He earned his PhD in Mathematical Computing from IIT Roorkee (2014) and completed his postgraduate studies in Computer Applications from IIT Roorkee. With 25 years of experience across mathematics and computer science, his expertise includes machine learning, medical imaging, and mathematical computing, with strong experience in teaching, research, and academic leadership.
Computer Science and Applications, Sharda University
Mam explained very well but since for me its the first time to know about these softwares and journal papers littile bit difficult I found at first. Then after familiarising with Journal papers and writing it .Mentors guidance found most useful.
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.
Very nice interaction, but need to clear all the doubts in all the sessions and each session should be equally valuable for all as the 2nd day session was most informative while 1st day and 3rd day were more or less like casual.
Mentor deliverd the talk very smoothely. He had a good knowledge about MD simulations. He was able to engage the audience and deliver the talk in simple yet inforamtive way.
Very efficient
good lecuture
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.