Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
This advanced international course focuses on the legal challenges created by Generative AI in the areas of intellectual property rights, digital content ownership, contract drafting, e‑contracts, corporate compliance and legal risk management. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This advanced international course focuses on the legal challenges created by Generative AI in the areas of intellectual property rights, digital content ownership, contract drafting, e‑contracts, corporate compliance and legal risk management.
📋 Course Objectives
1. Translate biotechnology theory into practical, reproducible analysis.
2. Assemble a documented case study that evidences your applied capability.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• A demonstrable biotechnology project for your research or industry portfolio.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Day 1 – Generative AI and Intellectual Property Rights
Explore legal implications of AI‑generated text, images and code • Analyse copyright, authorship and ownership issues • Conduct a hands‑on copyright risk assessment using AI tools
Day 2 – AI, Contracts, E‑Contracts and Corporate Legal Risk
Draft AI‑assisted contract clauses and review service agreements • Evaluate liability, indemnity and confidentiality provisions for AI outputs • Create smart‑contract and blockchain risk assessments
Day 3 – AI Compliance, Legal Governance and Institutional Policy Drafting
Design AI compliance checklists and legal risk registers • Formulate responsible AI governance policies for institutions • Prepare audit‑ready AI documentation and reporting templates
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | ChatGPT |
| Covered Tool / Platform | Gemini |
| Covered Tool / Platform | Claude |
| Covered Tool / Platform | Google Docs |
| Covered Tool / Platform | Google Sheets |
| Covered Tool / Platform | Notion |
| Covered Tool / Platform | WIPO Resources |
Frequently Asked Questions
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