Course Details

Course Overview

Learning Outcomes

• Understand the fundamentals of Artificial Intelligence (AI) and Large Language Models (LLMs).
• Perform text annotation, data labeling, and content classification tasks.
• Use AI annotation tools to organize, label, and review datasets.
• Evaluate LLM-generated responses for accuracy, relevance, quality, and safety.
• Create and test prompts to assess AI model performance.
• Identify annotation errors and apply data quality assurance techniques.
• Understand real-world AI project workflows, guidelines, and delivery processes.

Course Requirements

• A computer or laptop with a stable internet connection.
• Basic knowledge of internet browsing and digital applications.
• Access to AI tools such as ChatGPT or Google Gemini for practical exercises.
• Basic familiarity with Google Sheets or Microsoft Excel is recommended.
• No prior AI, data annotation, or programming experience is required.
• Willingness to follow annotation guidelines and complete practical AI tasks.
• Interest in AI technology, LLM evaluation, and data annotation projects.

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