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RE_BUILD_ING(개념강의)
BUILD_UP(평가원 기출)
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전체강좌
RE_BUILD_ING(개념강의)
BUILD_UP(평가원 기출)
로그인
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6 섹션
20 레슨
평생
모든 섹션 확장
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Introduction to AI and Machine Learning
4
1.1
Overview of AI and its impact on various industries
1.2
Historical context and evolution of AI
1.3
Understanding the role of AI in the modern workplace
1.4
Ethical considerations and responsible AI practices
Network effects and learning effects
4
2.1
Introduction to machine learning, deep learning, and natural language processing
2.2
Data preprocessing and feature engineering
2.3
Overview of popular AI tools and frameworks (e.g., TensorFlow, PyTorch)
2.4
Hands-on exercises using AI development environments
The AI Factory
2
3.1
Sentiment analysis, text summarization, and language translation
3.2
Implementing NLP projects in a business context
The AI-first Company
3
4.1
Basics of computer vision and image processing
4.2
Object detection, image classification, and facial recognition
4.3
Real-world applications of computer vision in industries
Ethics of AI and Data
4
5.1
Aligning AI with business goals
5.2
ROI and cost-benefit analysis of AI implementations
5.3
Identifying key performance indicators (KPIs) for AI projects
5.4
Developing a roadmap for AI integration in business processes
Driving organizational transformation
3
6.1
Emerging technologies in AI
6.2
Industry-specific trends and advancements
6.3
Preparing for the future of AI in the workplace
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