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Technical Track - Machine Learning Practitioner (Professional Level)
The Machine Learning Practitioner (Professional Level) program is a professional-level, technical hands-on training designed to equip participants with practical skills to design, train & evaluate machine learning models for real-world applications. The program focuses on data preprocessing, feature engineering, model selection & performance optimization using tools such as Python, Scikit-learn & TensorFlow. Participants will learn to implement supervised & unsupervised algorithms, assess model accuracy & apply predictive analytics techniques to solve industry-relevant problems. Emphasizing applied learning, the program includes project-based exercises & case studies that simulate real business scenarios. The program prepares participants for advanced roles in data science, AI engineering & automation development, while serving as a pathway to higher-level certifications such as Gen AI Developer and AI Systems Architect.
Candidates should possess a Diploma or Bachelor’s Degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or related fields. Applicants are eligible if they have completed a foundational AI or Associate Level course such as the AI Foundation Engineer. Participants should have basic proficiency in Python programming, data handling, and the use of analytical tools.
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