SK의 AI 인재 육성 전략 - 학습, 경험, 인증을 통한 성장

סקירה כללית

סילבוס

• Introduction to SK's AI Talent Development Framework
Overview of AI Literacy and Its Importance
Understanding Specialized AI Roles at SK
• AI Literacy Program
Basics of Artificial Intelligence
Introduction to Machine Learning and Deep Learning
Tools and Technologies Used in AI
• Intermediate AI Skills Development
Data Science and Analysis
Introduction to Machine Learning Models
Hands-on Lab Sessions with Real-world Data
• Specialized AI Roles Training
Machine Learning Engineer Track
Advanced Machine Learning Techniques
Deployment and Production of ML Models
Case Studies and SK Group Applications
LLM Developer Track
Understanding Large Language Models
Training, Tuning, and Fine-tuning Language Models
LLM Use Cases and Implementation at SK
• Hands-on Experience and Project Work
Internship Programs and On-the-Job Training
Collaborative Projects with SK's AI Teams
Capstone Project: Solving Real-world Problems
• Certification and Assessment
Evaluating AI Skills and Knowledge
Certification Process and Criteria
Recognizing AI Proficiency and Achievement at SK
• Continuous Learning and Growth Opportunities
Staying Updated with AI Trends
Lifelong Learning Resources
Networking and Collaborative Platforms
• Conclusion and Future Career Pathways
Career Development in AI within SK Group
Opportunities for Advancement and Specialization
Impact of AI Professionals on SK's Success

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נושאים

Business