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AI & Machine Learning Foundations

CODE: IT28 

DURATION: 3 Days/5 Days

CERTIFICATIONS: CPD

  • Modern facilities
  • Course materials and certificate
  • Accredited international trainers

3 Days

$2,350

5 Days

$3,310 

Course Overview

This foundational course breaks down the core concepts of Artificial Intelligence (AI) and Machine Learning (ML), providing a clear, business-focused understanding of the technologies that are transforming industries. The course content bridges the gap between theory and practice, equipping you with the knowledge to identify AI opportunities, understand the capabilities and limitations of ML, and communicate effectively with technical teams, all without requiring deep programming or mathematical expertise. Participants will explore the different types of machine learning (supervised, unsupervised, reinforcement), delve into fundamental algorithms, and learn how these models are trained, evaluated, and deployed to solve real-world problems.

Course Delivery

This course is available in the following formats:

Virtual

Classroom

Request this course in a different delivery format.

Course Outcomes

Delegates will gain the knowledge and skills to:

Define key AI and ML terminology and concepts with confidence.

Distinguish between different types of machine learning and their business applications.

Describe the steps of a standard ML project lifecycle, from data collection to model deployment.  

Evaluate the ethical considerations and potential biases in AI systems.

Identify opportunities within your organization where AI/ML can add value. 

Collaborate effectively with data scientists and technical teams on AI initiatives.

Key Course Highlights

At the end of this course, you’ll understand:

  • The fundamental differences between AI, Machine Learning, Deep Learning, and Generative AI.
  • How supervised learning algorithms like regression and classification are used for prediction and categorization.
  • The purpose and applications of unsupervised learning techniques like clustering and dimensionality reduction.
  • The critical importance of data quality and the steps involved in preparing data for machine learning.
  • How to interpret key model evaluation metrics to assess performance and accuracy.
  • The ethical implications, biases, and responsible practices essential for building trustworthy AI.
Who Should Attend

This course is designed for business professionals, managers, project leads, entrepreneurs, and anyone from a non-technical background who needs to understand AI and ML concepts to make strategic decisions, manage AI projects, or leverage these technologies in their domain, as well as technical beginners seeking a conceptual foundation before diving into coding.

Upcoming Course Dates

Delivery Format: Classroom & Virtual

Date: 01/06/2026

Location: London

Delivery Format: Classroom & Virtual

Date: 14/09/2026

Location: Dubai

Delivery Format: Classroom & Virtual

Date: 02/11/2026

Location: London

AI & Machine Learning Foundations

✓ Modern facilities

✓ Course materials and certificate

✓ Accredited international trainers

✓ Training materials and workbook

✓ Access to online resources

Your request has been sent the team will get back to you within 24 hours

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