top of page

Welcome to Forethought India One-on-One Courses. Our program is designed to provide students with the skills and knowledge necessary to excel in their chosen profession. Our instructor for this course is Researcher Pramit Saha at Oxford University


This comprehensive course, "Initiating Your Journey into Artificial Intelligence," is designed to provide students with a solid foundation in the fascinating world of AI. Whether you're a beginner or someone with some prior knowledge, this course covers a wide range of topics in AI, from the fundamentals to advanced concepts. Over the course of these lectures, you will embark on a journey that starts with an introduction to AI, explores its historical development, delves into various AI types and machine learning, and emphasizes the crucial role of data in AI. You'll also dive into essential machine learning algorithms, real-world applications, and ethical considerations. As you progress, the course takes you into deeper waters, discussing advanced topics such as neural networks, deep learning, computer vision, and AI's practical applications in healthcare, finance, robotics, and more. By the end of this course, you will be equipped with the knowledge and insights needed to begin your own AI projects and keep up with the rapidly evolving field of artificial intelligence.


At the end of the program, students will receive a certificate & performance letter by the educator indicating that they have completed the program and acquired the necessary skills and knowledge to excel in their chosen profession.

Initiating Your Journey into Artificial Intelligence, by Researcher Pramit Saha

  • Pramit graduated from the University of British Columbia, Vancouver, Canada, with an MASc degree in Electrical and Computer Engineering in February 2021. As a MITACS Globalink Research Fellow and Graduate Research Assistant in HCT Lab, his work was primarily targeted towards finding different alternative vocal communication pathways for people with speaking disabilities, by employing deep learning strategies to map our active thoughts or gestures to the acoustics space for artificial voice synthesis.

    Supervised by Prof. Sidney Fels, Pramit's master's thesis focused on investigating information-theoretic view of speech-related motor control. Using deep learning-based strategies, he particularly addressed the question of whether humans can take advantage of categorical speech perception as a constraint to reduce the difficulty of a hand-to-speech task. During his master's, he also worked on developing gesture-based speech interfaces and EEG-based imagined speech recognition systems. He was awarded the prestigious Young Scientist Award by MICCAI Society in 2020.

    After completing his master’s, Pramit started studying for a DPhil under the supervision of Prof. Alison Noble. His doctoral research aims at solving the challenges encountered in the federated learning scenario like class imbalance, non-IID data distribution, etc., thereby facilitating multi-institutional collaborations without sharing patient data in the medical image analysis domain.

    Awards and Prizes

    • MICCAI Young Scientist Award 2020
bottom of page