The EXIN BCS Machine Learning Award is designed for individuals wishing to gain an understanding of the principles of machine learning and the process through which it can be developed.

The term ‘machine learning’ has increased in popularity in the last decade and is a technology which is becoming more commonly used within many organizations. With its ability to help solve business problems and develop new customer experiences, there is now a greater demand for individuals with the knowledge and skills to support organizations to successfully implement the technology to deliver improvements

Learning Outcomes:

• Gain a structured, easy-to-follow introduction to machine learning fundamentals, including supervised, unsupervised, and semi-supervised learning—even if you’re new to AI.
• Understand regression, classification, clustering, and deep learning—the core techniques behind AI-powered decision-making, automation, and predictive analytics.
• Learn how machines recognize patterns, train on data, and improve over time without needing a PhD in statistics.
• Explore Python, TensorFlow, Scikit-Learn, and R—the leading tools for building ML models, even if you have no prior coding experience.
• Learn how to collect, clean, preprocess, and transform data for machine learning—key skills needed to build accurate and reliable AI models.
• From Netflix-style recommendations and chatbots to fraud detection and cybersecurity, understand how machine learning is driving innovation across industries.
• Get a complete picture of how ML models are trained, tested, fine-tuned, and optimized for real-world deployment.
• Understand the biases, legal concerns, and ethical implications of machine learning to ensure responsible AI implementation.

Examination Details:

• Consist of 20 Questions
• Duration: 30 Minutes
• Passing Rate: 65%