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