AI Trainee (Applied AI Course)
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ClassificationCompleted an intensive Applied AI course focused on both theoretical and practical data-driven approaches to artificial intelligence. Acquired hands-on experience in machine learning fundamentals, including supervised and unsupervised learning techniques for real-world problems. Built and evaluated predictive models, with direct exposure to data preprocessing and automation using AI tools. • Developed and labeled text datasets for training machine learning models. • Utilized Python-based tools including Google Colab and Teachable Machine for implementing AI models and running labeling tasks. • Worked on classification tasks to improve decision-making systems and model performance. • Gained a foundation in handling neural networks for automated task execution.