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Starts 27 June 2025 14:47

Ends 27 June 2025

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Engineering Management in the AI Era

Dive into the transformative role of AI in engineering management. This course offers insights into leveraging artificial intelligence to enhance data-driven strategies for effective 1:1s, constructive feedback, comprehensive performance reviews, and robust team development. Foster genuine human connections while adapting to technological ad.
Devoxx via YouTube

Devoxx

2765 Courses


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Overview

Dive into the transformative role of AI in engineering management. This course offers insights into leveraging artificial intelligence to enhance data-driven strategies for effective 1:

1s, constructive feedback, comprehensive performance reviews, and robust team development.

Foster genuine human connections while adapting to technological advancements.

Available on YouTube, this course belongs to the categories of Artificial Intelligence and Business Courses, providing both theoretical and practical knowledge essential for today's dynamic management landscape.

Syllabus

  • Introduction to AI in Engineering Management
  • Overview of AI and its impact on engineering management
    The role of AI in modern organizations
  • Data-Driven Decision Making
  • Importance of data in management
    Tools and technologies for data collection and analysis
  • AI-Enhanced Feedback Mechanisms
  • Techniques for providing and receiving feedback using AI
    AI tools for employee performance tracking
  • AI in Performance Reviews
  • Designing fair and effective AI-supported performance reviews
    Balancing quantitative and qualitative data in evaluations
  • 1:1 Meetings and AI
  • Integrating AI to schedule and enhance 1:1 meetings
    Using AI insights to tailor personalized development plans
  • Team Development in the AI Era
  • Strategies for building AI-competent teams
    AI-driven insights for fostering team collaboration and innovation
  • Maintaining Authentic Human Connections
  • Strategies to ensure human touch in an AI-driven environment
    Balancing automation with empathy and understanding
  • Ethical Considerations in AI-Driven Management
  • Understanding AI biases and their impact on management
    Establishing ethical guidelines for AI use in organizations
  • Case Studies: Successful AI Implementation in Engineering Management
  • Real-world examples of AI transforming management practices
    Lessons learned and best practices
  • Future Trends and Innovations in AI for Management
  • Emerging technologies and their potential impact
    Preparing for the future of AI in engineering management

Subjects

Business