![IIT Kanpur Launches Certificate Programme In Artificial Intelligence, Machine Learning IIT Kanpur Launches Certificate Programme In Artificial Intelligence, Machine Learning](https://c.ndtvimg.com/2024-08/bu4j84i_iit-kanpur_625x300_30_August_24.jpeg?downsize=773:435)
IIT Kanpur is offering a new certificate programme focused on Python for Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). This comprehensive four-week course, running from December 01 to 27, is designed to provide an in-depth understanding and hands-on experience with advanced algorithms and software in these fields. The programme is tailored for scholars, students, faculty, industry professionals, and R&D staff. It aims to equip participants with practical skills in AI, ML, Neural Networks (NN), and DL, enhancing their capabilities for projects, research, and career advancement.
Participants will engage in problem-solving sessions to prepare for AI/ML and DL tests and job interviews. The course also features extensive Python projects using real-world datasets across various domains such as Business, Medicine, Science, and Engineering. Tools and packages covered include NUMPY, LINALG, MATPLOTLIB, PANDAS, SCIKIT-LEARN, TENSORFLOW, and KERAS.
Classes will be conducted online via Zoom, offering flexibility for participants worldwide.
Application Deadlines:
- Early Bird: October 29
- Regular: November 19
Programme Benefits:
- UG/PG Students: Acquire cutting-edge programming skills and AI/ML knowledge, gaining a competitive edge in placements and thesis projects.
- Class 11/12 Students: Build a strong foundation in Python and AI/ML for a future career in technology.
- PhD Scholars/Faculty Members: Utilise Python and related packages for research, virtual labs, and project guidance in AI/ML technologies.
- Industry Professionals: Advance your skills with Python AI/ML and various packages, including principles of Module Design and Analysis.
Target Sections:
- BTech/BE students
- BSc/BBA/BCA students
- MTech/ME students
- MSc/MBA/MCA students
- PhD scholars
- Exceptional Class 11/12 students
- Faculty members of Engineering/Science/Management
- Professionals from Industry and R&D organisations