Online Courses Offered

Attention young minds! We are excited to offer two online courses that specialize in Data Science, with a particular focus on its practical application in industries. These courses will be taught by two experienced professionals who have dedicated their careers to working in the field of Data Science. They possess a wealth of knowledge and expertise that they are eager to impart. Join us as we delve into the fascinating world of Data Science, and learn how to apply these valuable skills in the real world.

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Anant Raj

He is a distinguished researcher and scholar who currently holds the esteemed position of Marie-Curie Research Fellow at the SIERRA Project Team (Inria) and Coordinated Science Laboratory (CSL), UIUC. His impressive academic background includes the completion of a Ph.D. in Machine Learning at the Max-Planck Institute for Intelligent Systems in the Empirical Inference Department and a B.Tech-M.Tech dual degree in Electrical Engineering from IIT Kanpur. Throughout his career, Anant has worked at some of the most influential technology companies in the world, including Microsoft Research, Google DeepMind, IBM Research, and Sharechat. His research has been published in numerous peer-reviewed journals and conference proceedings. Anant Raj's accomplishments and expertise have established him as an expert in the field of Machine Learning and made him a valuable asset to any organization fortunate enough to work with him.



Kumari Deepshikha

She is a highly accomplished Applied Scientist, with extensive experience in the computer hardware and tech industry. With her strong background in Natural Language Processing (NLP), she has led several successful projects, including Hybrid Search, QU, Ranking, and Recommendation. In her previous role, she demonstrated her versatility by developing computer vision algorithms for Indian cities, which were deployed in Indian smart cities. Currently, she is a vital member of the Lowes Science team, where she continues to make significant contributions. Her previous work experience includes working with industry giants such as NVIDIA, NetApp Research, and IBM. As a skilled engineering professional with a focus on NLP, Search, Ranking, Recommendation, and Computer Vision (CV), she possesses the necessary expertise to tackle complex problems in the industry. She holds an M.Tech in Mathematics and Computer Science from the prestigious Indian Institute of Technology, Patna. Additionally, she has published several research papers in the areas of Computer Vision, Conversational AI, and NLP, highlighting her knowledge, expertise, and contributions to the field. Her outstanding abilities, combined with her impressive work experience and academic background, make her a highly sought-after industry expert.



  • Applied Data Science for Industry: From Fundamentals to Deep Learning: This comprehensive training course centers around the practical application of data science in the industrial sector and the duration of the course will be 12-weeks. It provides a thorough exploration of fundamental concepts and their practical use cases in industries, with each topic being accompanied by the detailed hands-on implementation. The course will be facilitated by a team of industry and academic experts and researchers, who will also be available to address any additional queries or concerns. By enrolling in this course, you will be equipped with the skills and knowledge necessary to apply for a variety of data- focused roles, including Data Scientist, Data Engineer, Data Analyst, and ML Engineer, across various industries. Additionally, we offer specialized courses and research projects that can elevate your career to the next level.
    Please reach out to us for the syllabus.

  • Advanced Deep Learning: Techniques and Applications: This course is designed for students, aspiring data scientist and ML engineers who want to gain a deeper understanding of the cutting-edge techniques and applications of deep learning. As one of the most rapidly evolving fields in computer science and artificial intelligence, deep learning has become an essential tool for solving a wide range of complex problems, from natural language processing and computer vision to robotics and self-driving cars. This course provides a comprehensive overview of the latest developments in deep learning, including advanced neural network architectures, generative models, graph neural networks, and more. Through a combination of lectures, hands-on exercises, and real-world projects, students will learn how to apply these techniques to tackle real-world problems and develop advanced deep learning applications. Whether you're a seasoned machine learning practitioner or just starting out, this course offers a unique opportunity to master the most advanced deep learning techniques and stay ahead of the curve in this rapidly evolving field.
    Please reach out to us for the syllabus.

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