EXIN BCS Machine Learning Award 1 Day Training in Addison, TX

Certificate: Upon Completion of Exam

Language: English

Duration: 1 Day

Credits: 8

Course Delivery: Classroom

Refreshments: Snacks, Beverages and Lunch included in a classroom session

Course Overview:

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.

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. This award explores what machine learning is and how it is used in practice. It provides an introduction into the different types of machine learning and the tools and techniques required to develop it, including a basic introduction to algorithms. This award will enable candidates to understand these concepts at a foundation level, enabling them to be better informed and equipping them with knowledge which they can build upon through further study and application.

Main Subjects:

• Introduction to Machine Learning
• Programming in Machine Learning
• Machine Learning Algorithms
• Practical Applications of Machine Learning

Learning Objectives:

Machine learning is revolutionizing industries, powering fraud detection, personalized recommendations, and AI-driven automation—but how does it actually work?

The EXIN BCS Machine Learning Award is designed to give you a solid foundation in ML principles, coding, algorithms, and real-world applications—without requiring deep technical expertise.

Here’s why this certification is essential for you:

• Learn what machine learning is, how it works, and its role within AI.
• Get insights into neural networks, regression, classification, clustering, and deep learning, and understand how they solve real-world problems.
• Understand how to collect, preprocess, and transform data for machine learning models, ensuring better accuracy and performance.
• Get sweeping knowledge across recommendation engines (e.g. Netflix, Spotify) to object recognition, prediction, and automation, and explore how ML is used in business globally.
• Become familiar with programming languages & ML frameworks such as Python, TensorFlow, Scikit-Learn, even if you have little programming experience.
• Learn how ML models are trained, tested, fine-tuned, and deployed in real-world scenarios.
• Understand the limitations, biases, and ethical considerations when implementing machine learning solutions.

Who is this certification for?

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

Requirements for Certification:

Successful completion of the EXIN BCS Machine Learning Award exam.

Examination Details

• Examination type: Multiple-choice questions
• Number of questions: 18, of which 2 scenario-based questions worth 2 points each
• Pass mark: 65% (13/20 points)
• Open book: No
• Notes: No
• Electronic equipment/aides permitted: No
• Exam duration: 30 minutes

The Rules and Regulations for EXIN’s examinations apply to this exam.

Required reading

The knowledge required for the exam is covered in the following literature:

a. 1. Aurélien Géron Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems O’Reilly (2022) ISBN: 978-1098125974 (hard copy)

b. 2. Oliver Theobald Machine Learning for Absolute Beginners: A Plain English Introduction Independently published (3 rd edition, 2021) ISBN: 979-8558098426

c. 3. Gilbert Strang Linear Algebra and Learning from Data Wellesley-Cambridge Press (1 st edition, 2019) ISBN: 978-0692196380 (Hard copy)

d. 4. Andrew Lowe, Steve Lawless Artificial Intelligence and Machine Learning Foundations: Learning From Experience BCS (2024) ISBN: 978-1780176734

e. 5. Sarah Burnett AI in Business: Towards the Autonomous Enterprise BCS (2024) ISBN: 978-1780176673

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