Executive Development Programme in AI for Venture Capital: Building a Strong Network

• Introduction to AI and its Impact on Business: Understanding the basics of artificial intelligence, its applications, and potential impact on various industries. • AI in Venture Capital: Opportunities and Challenges: Exploring the role of AI in venture capital, including AI-powered deal sourcing, due diligence, and portfolio management. • Building and Managing an AI Venture Capital Portfolio: Identifying promising AI startups, evaluating their potential, and creating a diversified AI venture capital portfolio. • Networking Strategies for AI Venture Capital: Developing effective networking strategies to build relationships with AI entrepreneurs, researchers, and investors. • AI Ethics and Regulations in Venture Capital: Understanding ethical considerations and regulatory requirements related to AI, including data privacy, bias, and transparency. • Due Diligence in AI Venture Capital: Conducting thorough due diligence on AI startups, including technical, financial, and legal assessments. • Collaborating with AI Startups: Building effective partnerships and collaborations with AI startups, including mentoring, advising, and investing. • Investment Thesis for AI Venture Capital: Developing a clear investment thesis for AI venture capital, including sector focus, investment stage, and return expectations. • Exit Strategies for AI Venture Capital: Exploring exit strategies for AI venture capital investments, including mergers and acquisitions, initial public offerings, and secondary sales.