EXIN Machine Learning Award
About Course
OVERVIEW
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 isbecoming 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
TARGET GROUP
The EXIN BCS Machine Learning Award has been designed for individuals interested in furthering their understanding of the more technical aspects of artificial intelligence (AI). This certification is ideal for candidates who wish to gain an insight into this type of AI technology. Machine learning is becoming much more commonly used. Therefore, it is useful for anyone, regardless of being in IT or in a technical position, to understand what machine learning is, its potential uses and its limitations.
LEARNING OUTCOME
- 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
DURATION : 3 Days
CERTIFICATE : EXIN BCS Machine Learning Award
GOVERNING BODY : EXIN
EXAMINATION DETAILS
- Consist of 20 Questions
- Duration: 30 Minutes
- Definition and Overview
- Applications of Machine Learning
- Role of Learning Agents
- Concept of Deep Learning
- Purpose and Function of Neural Networks
- Integration with Knowledge-Based Systems
- Data Interaction in Machine Learning
- Programming Languages for Machine Learning
- Software Tools: Open Source vs. Proprietary
- Mathematical Foundations
- Common Algorithms in Machine Learning
- Types of Learning: Supervised, Unsupervised, and Semi-Supervised
- Problem Identification for Machine Learning Solutions
- Data Preparation and Processing
- Training Machine Learning Models
- Testing and Validation of Models
- Evaluation and Reporting of Results Stakeholders