25.7.12
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Berkeley Chief Technology Officer Program

The Berkeley Chief Technology Officer Program offers a robust learning journey for executives who want to lead their organization in a progressive world and leverage technology trends such as artificial intelligence (AI)/machine learning (ML) for developing innovative strategies. This distinctive program combines cutting-edge theoretical frameworks with real-world case studies, complemented by insightful interactions with industry experts and a global peer group of like-minded executives. You will emerge from the program with the skills to effectively align technology management with your organizational goals. As we navigate through an era of rapid technology advancements and transformative innovation, the role of technology leadership is increasingly fundamental to the growth trajectory of organizations across industries. To successfully lead in this dynamic environment, technology executives need a broad spectrum of skills, including strategic vision, adaptability, and an understanding of emerging technologies that drive competitive advantage. In this comprehensive program, you will learn how to: Develop an Agile and Effective Technology Strategy: enhance your approach to utilize tools (Internet of Things, AI, and ML) to move from data to insights to strategy Establish Frameworks to Understand and Act Upon Future Technology Trends: create organizational frameworks to act upon future technology trends and opportunities Identify Technology Solutions to Fill in Critical Organizational Gaps: identify and implement technology solutions to manage complex technical projects Improve your Leadership and Executive Presence Skills: learn how to effectively lead teams, communicate a vision, and drive change management initiatives

Skills / Knowledge

  • artificial intelligence
  • machine learning
  • data science pipeline
  • robotics
  • value creation
  • neural networks
  • business model canvas
  • agile mindset
  • organizational change
  • influence
  • negotiation
  • decision making
  • product architecture
  • marketing analytics
  • algorithmic bias
  • cybersecurity

Issued on

June 14, 2023

Expires on

Does not expire