Join us for an in-depth discussion on the ethical dilemmas posed by AI and the steps that can be taken to mitigate risks. Experts in AI ethics, law, and policy will lead conversations about the impact of AI on privacy, human rights, and decision-making. This event is designed to foster collaboration between AI developers, government officials, and concerned citizens to shape AI policy that ensures the technology benefits everyone while avoiding harm.

Industry 4.0 is transforming how we manufacture and deliver products, and AI is at the heart of this revolution. This event will feature expert speakers from local tech firms, the defense sector, and research institutions to discuss how AI and robotics are reshaping industrial operations. Attendees will gain insights into practical AI applications in manufacturing, logistics, and supply chain management. Don’t miss this opportunity to understand the role AI plays in making industries smarter and more efficient.

AI is quickly becoming a critical component in securing digital infrastructures. This full-day training will focus on using AI to detect cyber threats, automate responses, and protect sensitive data. Led by experts in cybersecurity and AI, the workshop will feature hands-on labs and case studies. Attendees will leave equipped with the knowledge and tools to implement AI-driven cybersecurity strategies in their organizations.

This intensive 3-day bootcamp is designed for professionals looking to enhance their AI and machine learning skills. Participants will dive into essential AI concepts, such as neural networks, supervised learning, and natural language processing, with hands-on projects. Whether you’re looking to expand your current skill set or break into the AI field, this bootcamp is a great opportunity to learn from experts and apply your knowledge to real-world scenarios.

This beginner-friendly course will introduce the basics of machine learning, covering key concepts such as algorithms, data processing, and model evaluation. No prior experience is required. Participants will leave with a solid foundation in machine learning and the confidence to pursue more advanced AI topics.