Scaling Scientific ML
Unlock the Power of 'Machine Learning in Academia and Research', The AI Empowered specialization is your gateway to a future where educators, faculty members, and researchers harness the potential of machine learning. Designed to demystify ML complexities, this program empowers you to lead with confidence in the era of artificial intelligence. Whether you aspire to teach cutting-edge courses or pioneer groundbreaking research, our dual-focused curriculum ensures that you master ML as both a subject of instruction and a potent research tool. Join us on this journey of academic excellence and research innovation.
17th Jan 2024, after 6 PM on weekdays
₹ 50,000 + 18% GST ₹ 25,000 + 18% GST
Faculty members actively engaged in teaching or research at accredited institutions.
Research scholars who are currently pursuing rigorous academic work and seek to incorporate machine learning into their studies.
Professionals who hold a minimum of 2 years of working experience in relevant fields and are looking to deepen their understanding of machine learning to enhance their professional capabilities
What is included ?
Engage with interactive lessons that incorporate multimedia elements like videos, quizzes, and exercises to enhance your understanding and retention of the material.
The program culminates in capstone projects that challenge participants to create teaching modules or research projects. This not only fosters peer collaboration but also yields tangible outputs that can be directly integrated into their professional roles.
Each course within the specialization includes comprehensive lab sessions. These labs allow participants to apply theoretical knowledge to real-world scenarios, thereby solidifying their understanding and honing their practical skills
Regular assessments and quizzes evaluate your understanding of the course material, track your progress, and provide valuable feedback on your learning journey.
Bridge Course: Tools and Libraries for Machine Learning
Introduction to Machine Learning for Educators and Researchers:
this course will cover the fundamental concepts and algorithms. It will provide a comprehensive overview tailored to educators and researchers, setting the groundwork for more advanced studies.
Scientific Machine Learning for Advanced Research
Machine Learning at Scale for Computational Research
This course addresses the challenges of scaling ML applications for large
datasets and computational research. Participants will learn about high-performance computing techniques and frameworks like OpenMP, MPI,
CUDA, DASK, RAY, and parallel ML libraries