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AI & ML Professional: Core Concepts & Applications
The AI & ML Professional: Core Concepts & Applications program is a 21-hour, hands-on training designed to equip participants with essential knowledge and practical skills in Artificial Intelligence and Machine Learning. This course provides a solid introduction to core ML concepts, including supervised and unsupervised learning, classification, regression, clustering, model evaluation, and basic neural networks. Participants will learn how to prepare data, build predictive models, and apply machine learning techniques using popular tools such as Python, Scikit-learn, and TensorFlow. The program emphasizes real-world applications, enabling learners to solve practical problems through case studies and guided exercises. Suitable for students, working professionals, and individuals transitioning into AI-related roles, this course builds the foundation required for deeper technical pathways in data science, ML engineering, and advanced AI certifications.
Participants should possess a Diploma or Bachelor’s Degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or related fields. Candidates from non-technical backgrounds may be considered if they have completed introductory AI or digital skills courses. Basic programming knowledge—preferably in Python—is required. Participants should also have foundational understanding of data handling, spreadsheets, or basic analytics concepts. Familiarity with AI fundamentals or completion of an introductory AI program strengthens readiness.
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