IIT Ropar Admissions 2021: Applications invited from Punjab School students for free online course in AI
There are two courses being offered at present under the initiative, an L2 course which is 4 weeks long and an L3 course which is 12 weeks long.
Indian Institute of Technology (IIT) Ropar is inviting applications from Punjab school students for free online courses in artificial intelligence and data science. This initiative has been launched by IIT Ropar in partnership with Punjab Skill Development Mission, Government of Punjab. School students who have cleared their Class 12th with Mathematics as a specialization, and clear an online A-DSAT exam can enroll for the course for free.
There are two courses being offered at present under the initiative, an L2 course which is 4 weeks long and an L3 course which is 12 weeks long. Participants who wish to take the course will have to clear an online A-DSAT test and will be given certificates from IIT Ropar upon successfully completing the courses. Students who complete L2 Program will be selected for L3 Program.
The 4-week L2 course is a module-based program which student can opt as per their interest of areas like computer vision, natural language processing, and others, and the 12-week L3 course will build confidence and develop experience in tackling real-world problems with case studies and helps in understanding how to manage real-world artificial intelligence.
Students will be given the following assistance during and after completing the online courses on artificial intelligence: Internship and placement assistance will be provided to all the candidates. LinkedIn profile and one-to-one guidance will be provided. On completion of the course, students will also receive certification from IIT Ropar. Students will learn from IIT Ropar academicians in the field of artificial intelligence and machine learning and several experienced industry practitioners.
Some of the topics that will be covered during the course are as follows:
- Overview of artificial intelligence and machine learning engineering stack
- Data wrangling at scale and statistics for artificial intelligence
- Foundations of machine learning
- A deep dive into deep learning
- Filling up resume with in-demand data science skills: Statistical analysis, python programming with NumPy, pandas, matplotlib, 2 and Seaborn, advanced statistical analysis, machine learning with stats models and scikit-learn, deep learning with TensorFlow.
Unfolding the power of deep neural networks - Creating machine learning algorithms in Python, using NumPy, statsmodels and scikit-learn.
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