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CODE: NAI01
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This foundational course on Machine Learning introduces participants to the core concepts, techniques, and applications of machine learning. It covers model training and evaluation, data preparation, and algorithm selection. Participants will explore practical cases, understand the basics of data science workflows, and gain hands-on experience using common ML tools and frameworks. The course is designed to equip learners with the knowledge needed to start building and deploying basic machine learning models in real-world scenarios.
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 core concepts and types of machine learning (supervised, unsupervised, and reinforcement learning).
Identify real-world problems that can be solved using machine learning techniques.
Interpret basic machine learning models and evaluate their performance.
Gain familiarity with essential tools and platforms used in machine learning.
Apply simple algorithms to datasets using user-friendly interfaces or guided scripts.
Build a foundation for more advanced learning in data science, AI, and predictive analytics.
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
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