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Course Package
Virtual Classroom
Training
Practice Questions
on LMS
Guaranteed to
Run Batches
Experienced
Instructors
Exam
Simulation
Post-Training
Support
Virtual Classroom
Training
Practice Questions
on LMS
Guaranteed to
Run Batches
Experienced
Instructors
Exam
Simulation
Post-Training
Support

EXIN BCS Machine Learning Award

  • EXIN Exam Voucher
  • Training Material
  • LMS Access
  • Video Recorded Session
  • Exam Practice Questions
  • Instructor-Led Virtual Classroom Training
Target Audience
Pre-Requisites
Exam Information
FAQ

Who Can Attend the EXIN BCS Machine Learning Award Certification Training:

IT Professionals
Software Developers
Data Analysts
Data Scientists
Business Leaders & AI Strategists
Project Managers
Product Managers
Engineers & Technical Consultants
Individuals with an interest in AI and a background in science, engineering, knowledge engineering, finance, education, or IT services
No Pre-Requisites Required

EXIN BCS Machine Learning Award Exam :

Duration:30 minutes
Number of Questions:18 - of which 2 scenario-based questions worth 2 points each (Multiple Choice)
Pass mark:65%
Open book:No
Electronic equipment allowed:No
Level:Foundation
Languages:English, Portuguese
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Frequently Asked Questions
🔹 What is the EXIN BCS Machine Learning Award?
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The EXIN BCS Machine Learning Award is a globally recognized certification that validates foundational knowledge of Machine Learning concepts, methodologies, and business applications. At Knowlathon, the program is delivered with an outcome-driven learning approach aligned to current industry and enterprise adoption trends.
🔹Why should I pursue the EXIN BCS Machine Learning Award from Knowlathon?
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Knowlathon offers EXIN-aligned training, expert-led instruction, structured exam preparation, and post-training support—ensuring learners build practical Machine Learning confidence while maximizing certification success. Our delivery model is trusted by professionals across India, the US, UK, Canada, and the Middle East.
🔹Who is this certification best suited for?
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This certification is ideal for :

● IT professionals

● Data analysts

● Business managers

● Consultants

● Digital transformation leaders

● Aspiring AI professionals seeking to understand Machine Learning without advanced programming complexity.

🔹Are there any prerequisites for the EXIN BCS Machine Learning Award?
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No prerequisites are required. Knowlathon’s training is designed for beginners as well as working professionals transitioning into Machine Learning and AI-driven roles.
🔹What topics are covered in Knowlathon’s EXIN BCS Machine Learning training?
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The curriculum covers Machine Learning fundamentals, supervised and unsupervised learning, data preparation, model evaluation, ethical considerations, risks and limitations, and real-world business use cases aligned with EXIN and BCS standards.
🔹What topics are covered in Knowlathon’s EXIN BCS Machine Learning training?
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The curriculum covers Machine Learning fundamentals, supervised and unsupervised learning, data preparation, model evaluation, ethical considerations, risks and limitations, and real-world business use cases aligned with EXIN and BCS standards.
🔹How is the EXIN BCS Machine Learning Award exam conducted?
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The exam is a multiple-choice, closed-book assessment delivered online or via authorized test centers. Knowlathon provides focused exam readiness, practice questions, and guidance to ensure confidence on exam day.
🔹Is the EXIN BCS Machine Learning Award globally recognized?
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Yes. The certification holds global recognition across India, Europe, the UK, the US, Canada, the Middle East, and APAC, making it a strong credential for international career growth and enterprise AI initiatives.
🔹What learning modes does Knowlathon offer for this certification?
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Knowlathon offers flexible delivery options including instructor-led online training, corporate batches, and structured exam preparation—catering to both individual learners and enterprise teams globally.
🔹How does this certification enhance career outcomes?
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The EXIN BCS Machine Learning Award strengthens professional credibility, supports role transitions into AI and data domains, and complements advanced certifications in AI, Data Science, Cybersecurity, and Digital Transformation.