Understand how machines learn from data and how those capabilities translate into practical AI solutions.
The EXIN BCS Machine Learning Award provides a structured introduction to the principles and processes behind machine learning.
Explore supervised, unsupervised, and semi-supervised learning, common algorithms, data preparation, model training and validation, and technologies such as Python, TensorFlow, and Scikit-learn while learning where machine learning can solve real-world problems.
- Why get trained: Understand ML algorithms, learning methods, data preparation, model training, validation, and practical applications
- Why it matters: Machine learning powers predictive analytics, automation, recommendations, fraud detection, and many modern AI applications
- Who should attend: IT, data, development, product, and business professionals seeking foundational machine learning knowledge
Gain the knowledge to recognize suitable machine learning opportunities, understand how models are developed, and engage more confidently with ML-driven initiatives. HRD Corp Claimable.
Overview
The EXIN BCS Machine Learning Award gives you a clear, structured introduction to machine learning; covering key algorithms, data processing, model training, and real-world applications.
You’ll learn how to prepare and transform data, understand supervised and unsupervised learning, and get hands-on insights into programming languages and ML frameworks such as Python, TensorFlow, and Scikit-Learn—even if you’re new to AI.
Whether you’re a Software Developer, IT professional, Product Manager, Business strategist, Data Analyst, Technical Consultant, or AI enthusiast, this globally recognized certification equips you with the practical skills to navigate the AI-driven world. Scroll down to see how you can future-proof your career with Machine Learning!
Skills Covered
- 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.
Prerequisites
There are no prerequisites required to attend this course.
Target Audience
- 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
Module 1: Introduction to Machine Learning
- 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
Module 2: Programming in Machine Learning
- Programming Languages for Machine Learning
- Software Tools: Open Source vs. Proprietary
Module 3: Machine Learning Algorithms
- Mathematical Foundations
- Common Algorithms in Machine Learning
- Types of Learning: Supervised, Unsupervised, and Semi-Supervised
Module 4: Practical Applications of Machine Learning
- Problem Identification for Machine Learning Solutions
- Data Preparation and Processing
- Training Machine Learning Models
- Testing and Validation of Models
- Evaluation and Reporting of Results to Stakeholders
Dates & Locations
September 24, 2026 - September 24, 2026
September 24, 2026 - September 24, 2026
December 17, 2026 - December 17, 2026
December 17, 2026 - December 17, 2026
February 15, 2027 - February 15, 2027
February 15, 2027 - February 15, 2027
April 19, 2027 - April 19, 2027
April 19, 2027 - April 19, 2027
June 21, 2027 - June 21, 2027
June 21, 2027 - June 21, 2027
August 17, 2027 - August 17, 2027
August 17, 2027 - August 17, 2027
October 11, 2027 - October 11, 2027
October 11, 2027 - October 11, 2027
December 27, 2027 - December 27, 2027
December 27, 2027 - December 27, 2027
Exam & Certification
EXIN BCS Machine Learning Award exam.
EXIN BCS Machine Learning Award confirms that the professional understands the principles of machine learning and the process through which it can be developed. This certification includes the following topics:
- What is machine learning?
- Coding for machine learning
- Algorithms used in machine learning
- Machine learning in practice
Training & Certification Guide
Frequently Asked Questions
Speak to a Training Consultant
All courses are HRD Claimable.
Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
