Course Information

Introduction

Machine learning is transforming industries, enabling businesses to make smarter decisions by leveraging data. This course provides a comprehensive introduction to the fundamentals of machine learning, focusing on practical applications and key concepts. Participants will gain insights into algorithms, tools, and techniques essential for building predictive models and solving real-world problems.

By the end of the course, attendees will have a foundational understanding of machine learning concepts and be equipped with the skills to start exploring machine learning projects confidently.

This course provides a strong foundation for those starting their journey in machine learning while incorporating practical, hands-on learning to ensure immediate applicability in professional scenarios.

Objectives

By the end of this course, participants will:

Understand the core principles and techniques of machine learning.
Gain hands-on experience in building, training, and evaluating machine learning models.
Learn to identify and apply appropriate machine learning algorithms for specific problems.
Understand data preprocessing techniques and their importance in model accuracy.
Explore ethical considerations and best practices in machine learning projects.

Who Should Attend?

This course is designed for:

Professionals and practitioners who want to understand the basics of machine learning.
Data analysts and IT professionals looking to expand their skillset.
Business leaders and managers interested in leveraging machine learning for strategic decision-making.
Students or individuals seeking a career in data science or AI.
Anyone curious about machine learning and its practical applications.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

Daily Schedule (Monday to Friday)
- 09:00 AM – 10:30 AM Technical Session 1
- 10:30 AM – 12:00 PM Technical Session 2
- 12:00 PM – 01:00 PM Technical Session 3
- 01:00 PM – 02:00 PM Lunch Break (If Applicable)
- Participants are expected to engage in guided self-study, reading, or personal reflection on the day’s content. This contributes toward the CPD accreditation and deepens conceptual understanding.
- 02:00 PM – 04:00 PM Self-Study & Reflection

Please Note:
- All training sessions are conducted from Monday to Friday, following the standard working week observed in the United Kingdom and European Union. Saturday and Sunday are official weekends and are not counted as part of the course duration.
- Coffee and refreshments are available on a floating basis throughout the morning. Participants may help themselves at their convenience to ensure an uninterrupted learning experience Provided if applicable and subject to course delivery arrangements.
- Lunch Provided if applicable and subject to course delivery arrangements.