Rajeev Gupta
New Delhi/Online
Skills
About
Dr. Rajeev Gupta is a highly experienced educator with over 20 years of teaching experience and a Ph.D. in his field. He specializes in Artificial Intelligence, Machine Learning, a...
Rajeev Gupta
New Delhi/Online
Skills :
Dr. Rajeev Gupta is a highly experienced educator with over 20 years of teaching experience and a Ph.D. in his field. He specializes in Artificial Intelligence, Machine Learning, a...
Courses by: Rajeev Gupta
AI foundation course by Dr. Rajeev Gupta
This AI Foundation Course offers a comprehensive introduction to the fundamental concepts of artificial intelligence and machine learning. Designed for beginners, the course covers essential topics including statistics, Python programming, and various machine learning models. Students from all backgrounds who are eager to explore the world of AI and enhance their technical skills should enroll. This course is particularly useful for those looking to build a career in technology, data science, or related fields.
What Students Will Learn
Basics of Statistics: Understand the foundational principles that underpin data analysis.
Python Fundamentals: Gain proficiency in Python, the primary programming language used in AI.
Introduction to Neural Networks: Learn the basics of how neural networks function and their significance in AI.
Machine Learning Models: Explore key models such as Perceptrons, Support Vector Machines, and Decision Trees.
Deep Learning Models: Delve into advanced models including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers.
Applications of Deep Learning: Discover how deep learning is applied in computer vision (CV) and natural language processing (NLP).
Teaching Method & Learning Approach
This course is offered in a online mode, The teaching style is concept-based and practice-oriented, ensuring that theoretical knowledge is reinforced through practical applications. Interactive sessions will facilitate student engagement, fostering a collaborative learning environment.
Why Learn From This Tutor
Rajeev Gupta is dedicated to providing clear explanations and structured guidance throughout the course. His approach focuses on supporting students at every stage of their learning journey, ensuring they grasp complex concepts with ease.
Location Context
Located in New Delhi, this course offers convenience for nearby learners who prefer offline sessions. Students can easily access the venue, making attendance more feasible and enhancing the overall learning experience.
Benefits & Learning Outcomes
By the end of this course, students will achieve:
Concept clarity in AI and machine learning principles.
Increased confidence in applying programming skills and AI knowledge.
Improvement in technical skills that are essential for exams or real-world applications.
AI in Neuroscience and Neurotech by Dr. Rajeev
This course explores the intersection of artificial intelligence (AI) and neuroscience, providing a comprehensive understanding of how AI techniques can be applied to neurotechnology. Covering fundamental concepts in neuroscience and advanced AI methodologies, this course is designed for students interested in the technological advancements in medical science. Ideal for undergraduate and graduate students, healthcare professionals, and anyone keen on understanding how AI is revolutionizing neuroscience.
This course is useful for those looking to enhance their knowledge in both fields, equipping them with the skills necessary for future careers or research opportunities that utilize AI in medical applications.
What Students Will Learn
Introduction to key neuroscience concepts, including neuroimaging and neurophysiological techniques like EEG, and EMG, CT, MRI etc.
Neural networks, including machine learning and deep learning models including statistics.
Hands on Projects:
1. Discover neurological disorder prediction using neuroimaging datasets without human intervention.
2. Early detection of Parkinson's , Ataxia through human pose estimation using convolutional neural networks.
3. EEG data analysis for seizure detection through RNNs.
4. Designing of brain-computer interfaces (BCIs) for motor disorder rehabilitation.
Teaching Method & Learning Approach
This course will be offered in a online mode, The teaching style is concept-based and practice-oriented, ensuring students not only learn theoretical aspects but also engage with practical applications. Students will participate in discussions, hands-on activities, and case studies to enhance their understanding and application of the concepts taught.
Why Learn From This Tutor
Rajeev Gupta is dedicated to providing clear and structured guidance throughout the course. His teaching focuses on ensuring students grasp complex subjects with clarity. He fosters an engaging learning environment and is committed to supporting each student's learning journey, offering assistance and feedback to help them succeed.
Location Context
Located in New Delhi, this course is easily accessible for local students. The proximity allows for a convenient learning experience, with opportunities for face-to-face interactions during hybrid sessions.
Benefits & Learning Outcomes
By the end of this course, students will achieve:
Clear understanding of neuroscience and neurotechnology concepts.
Increased confidence in applying AI techniques to real-world medical problems.
Improvement of analytical skills relevant to medical imaging and EEG data.
Readiness for exams or further studies in neuroscience and AI applications.