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CODE: NAI02
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course provides a comprehensive introduction to the fundamentals of machine learning, exploring key concepts, algorithms, and practical applications that drive today’s data-driven world. Participants will learn how machines can identify patterns, make predictions, and improve performance through experience, while gaining practical exposure to supervised, unsupervised, and reinforcement learning techniques. The course balances theoretical understanding with practical implementation, equipping participants to apply machine learning tools in real world scenarios across various industries.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the foundational principles of machine learning.
Differentiate between supervised, unsupervised, and reinforcement learning.
Implement basic machine learning models using popular frameworks.
Analyze datasets and apply algorithms to solve classification, regression, and clustering problems.
Evaluate model performance and interpret results effectively.
Identify opportunities for applying machine learning in professional or organizational contexts.
At the end of this course, you’ll understand:
This course is ideal for beginners and professionals from non-technical backgrounds who are interested in understanding the basics of machine learning. It is well-suited for data enthusiasts, IT personnel, business analysts, project managers, educators, and anyone looking to transition into data science or artificial intelligence roles. No prior programming or data science experience is required.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
