AI Project-Based Learning: Why and How - A Digital Transformation Approach

Overview

Discover how SK's AI Project-Based Learning program transforms workplace challenges into practical solutions while building essential AI capabilities and fostering digital transformation.

Syllabus

• Introduction to AI and Digital Transformation
Overview of AI and its impact on industries
Understanding digital transformation
The role of AI in digital transformation
• Project-Based Learning in AI
Principles of project-based learning
Benefits of PBL for AI skill development
Case studies of successful AI projects
• Identifying Workplace Challenges
Techniques for identifying and defining problems
Aligning projects with organizational goals
Prioritizing projects based on impact and feasibility
• Designing AI Solutions
Introduction to AI methodologies and tools
Basics of machine learning, deep learning, and data analytics
Selecting appropriate AI technologies for specific problems
• Implementing AI Projects
Project planning and management in AI
Building AI models: data preparation, model training, and evaluation
Integrating AI solutions into existing business processes
• Evaluating and Iterating on AI Solutions
Measuring the success of AI projects
Continuous improvement through iteration
Adapting to feedback and changing business needs
• Building Essential AI Capabilities
Developing AI literacy across teams
Workshops and hands-on labs for skill building
Encouraging a culture of experimentation and innovation
• Fostering a Culture of Digital Transformation
Strategies for promoting digital awareness in the workplace
Leadership's role in driving digital transformation
Encouraging collaboration across departments
• Case Studies and Success Stories
In-depth analysis of AI project outcomes
Lessons learned from real-world implementations
Inspiring innovation through demonstrated success
• Capstone Project
Application of learned concepts to a real-world project
Collaborative project development and presentation
Reflection and feedback on project outcomes
• Conclusion and Future Directions
The future of AI in business and digital transformation trends
Preparing for ongoing changes in the digital landscape
Continuing education and lifelong learning in AI

Subjects

Data Science