Our AI Residency Program is a comprehensive 12 months journey that combines structured coursework, practical training, and real-world project experience. The program is divided into two phases to ensure a well-rounded learning experience. The first phase is a 6 months free coursework focused on machine learning fundamentals, deep neural networks and AI programming. The second phase is a 6 month paid research internship on cutting-edge AI projects. While the course lectures in the first phase will be public and open to all, the internships will be limited and offered to students who are selected at the start of the program and also to students who perform exceptionally well during the course.
The AI residency program is ideal for highly motivated undergraduate students pursuing an Engineering degree, currently in their 3rd or 4th year. The students are expected to have a strong programming background, mathematical aptitude and a passion for AI/ML technologies. The AI residency program offers the following opportunities to the selected students:
In the first six months, residents will embark on a coursework module focused on AI and its various aspects. This module aims to provide a strong foundation in machine learning fundamentals, deep neural networks, and practical skills required for deploying neural networks as web applications. The course lectures will be accompanied by practical assignments and project work. During this phase, the selected students will have access to cloud compute resources, and experienced mentors who will guide them through the learning process.
The course lectures will be offered in a hybrid mode (some online and some in-person) but all lectures will be recorded and available publicly. The selected residents are encouraged to attend the lectures from the physical lab space in Dehradun to ensure a more collaborative learning environment.
The coursework phase comprises the following main courses:
After completing the coursework module, the residents will transition into the project-based internship phase of the program. During this period, residents will work on exciting and challenging projects related to synthetic media generation and detection, as well as large language model adaptation for industry-specific tasks. Students will work in small groups of 3 to 5 people on one of the projects which will be decided based on the student’s interest and skill set. We strongly encourage open science and publishing the research findings while working on the the research projects.
To apply for the NeugenAI Residency Program, please submit the questionnaire linked below. We encourage individuals with a background in computer science, machine learning, or related fields to apply. Applicants will be shortlisted based on their academic achievements, technical skills, and a passion for AI. The shortlisted candidates will be interviewed before making the selection decisions for the internship phase. Note that the candidacy for the internship is contingent on the successful completion of the course phase. Also, candidates who are not selected for the internship before the program starts, can still get the internship opportunity if they perform exceptionally well during the course.
Q: Will the course lectures and material be completely free?
Yes, all lectures will be publicly available. However, the course assignments and projects will be graded only for the selected students.
Q. Why/How are the courses free?
Our mission is to democratize education and make knowledge accessible to everyone, regardless of their financial or geographical constraints. We believe that education is a fundamental right, and by providing free access to course lectures, we can break down barriers and empower learners from diverse backgrounds. By offering free and open access lectures, we hope to inspire a lifelong love of learning and contribute to the collective enrichment of knowledge across the globe.
Q. There are so many online courses on AI/ML. Why should I choose the NeugenAI courses?
You are correct, there are some amazing AI/ML online courses that are available. Infact, NeugenAI courses are inspired by many such courses. As a student, with so many options out there, selecting the right online course in the vast landscape of AI and ML offerings can indeed be a daunting task. At NeugenAI, we understand this challenge, and that’s why we stand out among the many options available. Our courses are meticulously curated, focusing on cutting-edge topics that align with today’s rapidly evolving AI research landscape. We stay at the forefront of technological advancements and ensure our curriculum reflects the latest trends and innovations in AI and ML. Our team of expert instructors comprises seasoned professionals and researchers who bring real-world insights and practical expertise to our courses. When you choose NeugenAI, you’re not just signing up for another course; you’re joining a community of learners dedicated to staying at the forefront of AI knowledge and contributing to the future of this field.
Q. I have a background in machine learning and have taken online deep learning courses. Do I still need to take the Neugen Courses?
Attending the course lectures is optional (but recommended). Completing the assignments is necessary before starting the internship.