New Delhi: National Law University Delhi (NLUD) is inviting applications for admission to its Diploma Course in AI Law and Policy for the academic session 2022-23. Interested candidates can now apply online by submitting their applications by October 03, 2022. 

As per NLU Delhi, candidates who wish to apply for admission to diploma courses need to submit their online application form on the official university website at nludelhi.ac.in. Applications submitted after mentioned deadline will not be considered for admissions. 

The NLU Delhi Diploma Course 2022 will introduce participants to the key themes of the interaction of artificial intelligence with law and policy including implications of AI on our society, emerging use cases of AI and related opportunities and challenges, etc. 

Check the key highlights, important dates, application process, eligibility criteria, and direct link to apply for NLU Delhi Diploma Course Admission 2022 in this article below!

NLU Delhi Diploma Course Admission 2022: Highlights

NLU Delhi Diploma Course Admission 2022: Eligibility, Selection Process

Check the detailed eligibility criteria and selection process for admission to NLU Delhi Diploma Course 2022 offered in AI Law and Policy disciplines mentioned in the reference table below: 

NLU Delhi Diploma Course Admission 2022: How to Apply Online?

Step 1: Visit the official website of the National Law University Delhi (NLUD) at nludelhi.ac.in.

Step 2: From the homepage, click on the latest NLU Delhi Diploma Course Admission 2022 link available. 

Step 3: Register yourself by entering your name, email address, and other details as required. 

Step 4: Fill out the application form and upload a copy of mentioned documents. 

Step 5: Pay the application fee and submit the form to complete your NLU Delhi Diploma Course Admission 2022 application process. 

After the application process, the classes for shortlisted candidates will commence for a duration of 8 hours, from October 2022 to May 2023. The course will introduce students to the knowledge required to effectively navigate the rapidly evolving space of AI law and policy.

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