Deep Learning Training near me in Noida, India

As a Deep Learning tutor, I have extensive experience in both academic and industry settings. I have taught various courses and workshops on Deep Learning, focusing on both theoretical foundations and practical applications. This blend of academic rigor and industry relevance has equipped my students with the knowledge and skills necessary to excel in the rapidly evolving field of deep learning. We will learn each below topic from basic to advance: 1.)ANN 2.)CNN 3.)RNN 4.)GAN and many more.

I have and experience as a trainer in IT industry . Already certified in to AWS ,Digital marketing .I have completed my B.tech in 2012. I have already completed many online batches from different different vender . Having key skills in following technology : 1) AWS cloud computing 2) Java (J2SE/J2EE) 3) Android 4) Digital Marketing 5) Angular 6) Python

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Hardware and IoT professional with 5+ years of experience in the industry, helping businesses to build and deploy IoT solutions as the Co-founder of DataTurtles. over the past few years, I have mentored 3500+ students, professionals, and professors in IoT. I built 50+ deployable IoT prototypes, helped 5+ startups to build hardware solutions, and worked on 3 hardware products. Always looking for technology challenges where I can add value and help in making the world a better place.

I have research experience in AI is more than 2 years and corporate experience in AI, ML, DL is more than 3 years. Currently I am a part of MNC company and also working as a part time AI/ML Trainer. I have advanced label of expertise in AI/ML using Python.

Experienced in Deep learning, working in Deloitte as NLP.

I am a final year B.Tech Computer Science Engineering student at SRM Institute of Science and Technology. Python is my goto language and my main focus right now is on Deep Learning (specifically in Computer Vision). I'm an Infosys Certified Software Programmer. I have relevant skills and experience with both Python and C++. I can apply both languages with confidence. I have a good command over core computers science concepts like DBMS, Operating Systems, Data structures and Algorithms. My current project is the identification of brain haemorrhage (and its type) using Deep Learning.

Started learning python during my BTech journey and continued it till now. Professionally I am a Performance Engineer at QA Infotech. I do deep learning for my side projects. Interested in domains like IOT and machine learning, I am also learning. What I can provide you is how to avoid the mistakes I have done. Rest you have to create your own path to learning ML and DL.

I am a senior IT Professional with 20 yrs of experience in various technologies like Robotics, IoT, Python, Artificial Intelligence. I am running a Robotics and Coding Institute NexZenBot for children. I am a mentor of various Robotics competitions and prepare children for STEAM/Science/IoT/Artificial Intelligence projects for various Tech Competitions, exhibitions. Coding Class - Scratch - 7 yrs to 12 yrs Python - Basic & Intermediate - 12 yrs plus Advanced Python & Data Science - 13 yrs plus and college students. I do take classes online and the classroom at my place.

I work as a Research Scientist at Accenture Labs. My research interests are in the field of Machine Learning, Data Science, Deep Learning (Computer Vision & Natural Language Processing). I have published reviewed papers in top conferences. I have strong programming skills in Python, C/C++, C#, Java and R. I have completed my M.Tech in Computer science and participated and won several hackathons. Note: I am interested in teaching computer programming to Class XI-XII and data science/Machine learning/deep learning to professional.

I have extensive practical experience in Deep Learning, particularly in Computer Vision, developed through more than six years of working on AI-driven and automotive perception systems. My teaching approach is grounded in real-world engineering, helping learners understand not only how deep-learning models are created but also how they are evaluated, optimised, and integrated into practical applications. I teach the fundamental concepts of artificial neural networks, including activation functions, forward propagation, backpropagation, loss functions, gradient descent, regularisation, batch normalisation, and different optimisation techniques. I explain these concepts through intuitive examples, visual demonstrations, and hands-on Python exercises so that learners can connect mathematical principles with actual model behaviour. For Computer Vision, I provide practical training in image preprocessing, data augmentation, convolutional neural networks, transfer learning, image classification, object detection, semantic and instance segmentation, and object tracking. Learners work with Python, C++, OpenCV, NumPy, PyTorch or TensorFlow, and commonly used pretrained architectures. I also explain performance metrics such as precision, recall, F1-score, Intersection over Union, mean Average Precision, inference latency, and model size. My professional background in Advanced Driver Assistance Systems enables me to introduce industry-oriented examples involving camera data, road-scene understanding, object recognition, dataset quality, edge cases, model validation, and real-time inference. I also teach learners how to diagnose overfitting, class imbalance, poor generalisation, data leakage, and unreliable predictions. Where appropriate, I demonstrate how trained models can be integrated into C++ applications for performance-sensitive deployment. This includes model export, image preprocessing, inference pipelines, memory considerations, and optimisation for real-time environments. My sessions follow a structured progression from foundational concepts to guided implementation and independent projects. I encourage learners to experiment, interpret results, debug systematically, and explain the reasoning behind their technical decisions. My objective is to ensure that students can independently design, train, evaluate, optimise, and deploy deep-learning solutions rather than simply reproduce code from tutorials.

I am a teacher. I love teaching and want to share my knowledge with my students. I will take online classes. My approach combines clear concepts, regular practice, and student-friendly strategies to make learning effective and enjoyable.

I have 5+ years years of experience in full-stack web deployments, developer infrastructure and Open SourcePython, Machine Learning,Data Science and Data Analytics. Working as full time developer and trainer.

I am IT professional having experience in Machine learning, deep learning, computer vision and NLP. I can teach and train you for better career. I can make you ready for the real client projects, so that you can shine in your professional life.

BTech in Computer Science from HCST, Mathura. Coding since 3rd Class. Lots of programming experience. I believe logic is more important than programming language and hence focus on teaching fundamentals first. I convey knowledge(practical) of computer science through python as primary language since it's easy to grasp and learning curve is low. A bit about myself. I am a passionate programmer , currently selling as well as acquiring skills @ Bluecore(ad-tech startup) in Noida. I live in gardenia gateway Sector 75 Noida and would love to teach and nurture aspiring minds. I expect my students to be filled with curiosity and question everything about what they work on. Contact me if you want to truly experience the essence of computer science.

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Created test cases during two week sprints using agile methodology Designed data visualization to present current impact and growth Developed Natural Language Processing and Machine Learning Systems Extensive knowledge of PL/SQL, Python, Machine Learning. Developed course materials and training manuals. Used both demonstrations and lectures to convey information and teach students.