This course is designed for individuals seeking to understand or work at the intersection of technology, law, regulation, and policy, including
- Undergraduate and postgraduate students
- Legal professionals, researchers, and academicians
- Policymakers, regulators, and government officials
- Professionals interested in AI governance and digital regulation
- Representatives from start-ups, public sector undertakings, and large corporates
Upon successful completion of the course, participants will be able to:
- Demonstrate a clear understanding of the core concepts of Artificial Intelligence and the regulatory challenges arising in technology-driven markets
- Critically evaluate how competition authorities deploy AI tools in investigations, market monitoring, and enforcement processes
- Analyse issues of algorithmic accountability, including the implications of overlapping competition, data protection, and sectoral regulatory frameworks
- Identify and assess risks of algorithmic collusion, tacit coordination, and AI-enabled cartelisation in digital and traditional markets
- Examine the role of big data and AI in shaping market power, abuse of dominance, and exclusionary conduct
- Assess competition law concerns in data-driven mergers, with particular reference to privacy, consumer welfare, and innovation
- Apply practical, case-based insights to analyse and address emerging competition law challenges associated with AI adoption
| Week | Session | Date | Topic |
|---|---|---|---|
| Week 1 | Session 1 | Friday, April 3, 2026 | Understanding the AI Ecosystem |
| Session 2 | Saturday, April 4, 2026 | Competition Law Principles and Emerging Challenges in the Age of AI | |
| Week 2 | Session 3 | Friday, April 10, 2026 | Cartels – Substantive Concepts, Detection, and Enforcement Strategies |
| Session 4 | Saturday, April 11, 2026 | The Role of AI in Facilitating Vertical Agreements in the Age of AI | |
| Week 3 | Session 5 | Friday, April 17, 2026 | Big Data and AI in Market Exploitation and Exclusion |
| Session 6 | Saturday, April 18, 2026 | Regulatory Approaches to Address Abusive Practices Facilitated by AI | |
| Week 4 | Session 7 | Friday, April 24, 2026 | Data, AI, and Mergers – Antitrust Implications |
| Session 8 | Saturday, April 25, 2026 | Interface and Conflicts Between Big Data, Big Tech, and Privacy Issues | |
| Week 5 | Session 9 | Friday, May 1, 2026 | Regulatory Challenges in AI and Competition Law – Focus on Platform Markets |
| Session 10 | Saturday, May 2, 2026 | Regulatory Challenges in AI and Competition Law – Focus on Healthcare, and Finance Sectors | |
| Week 6 | Session 11 | Friday, May 7, 2026 | Applications of AI and Their Impact on Consumer Welfare |
| Session 12 | Saturday, May 8, 2026 | Algorithmic Accountability and Regulatory Compliance |
| Participant Category | Students | Working Professionals |
|---|---|---|
| Indian Participants |
₹6,000 (₹5,085 + ₹915 GST) |
₹18,000 (₹15,255 + ₹2,745 GST) |
| International Participants | USD 150 | USD 390 |
| Least Developed Countries (LDCs)* | USD 100 | USD 220 |
* Fees are inclusive of all academic support and learning resources.
* For eligibility based on Least Developed Countries (LDC), refer to the official list:
View UN LDC Country List



