Human-Centered Machine Learning (HCML)

AI, Technology & Digital · 5 Days · Public · Al-Khobraa certified · From USD 3,900

Overview

The Human-Centered Machine Learning Course is designed to help professionals create AI systems that are not only intelligent but also ethical, transparent, and deeply aligned with human needs. As AI becomes increasingly embedded in society, developing systems that respect human values, minimize bias, and build user trust is essential for sustainable innovation. This HCML Training Course bridges the technical and human dimensions of machine learning by integrating human-computer interaction, behavioral psychology, and ethical design principles.

Learning Objectives

• Understand and apply the principles of Human-Centered Design within the realms of AI and machine learning
• Recognize, assess, and reduce algorithmic bias while ensuring ethical and fair outcomes in ML models
• Incorporate continuous human feedback to refine machine learning systems and enhance user relevance
• Design AI interfaces that promote transparency, explainability, and user trust
• Apply participatory design methodologies to ensure stakeholder inclusion in AI development
• Evaluate both the usability and the broader societal impact of intelligent systems and AI-driven applications

Who Should Attend

This HCML Training Course is designed for professionals across diverse sectors: who aim to integrate human-centered approaches into AI and ML systems. It will be particularly beneficial for:

• AI and machine learning engineers
• Data scientists
• Technical practitioners
• Ethics officers
• Digital transformation specialists

Course Outline

Day 1 — Foundations of Human-Centered Machine Learning

• Introduction to HCML: Concepts and Principles
• The limitations of traditional ML approaches
• Human-Centered Design vs. Technology-Centric Design
• Overview of ethical frameworks in AI development

Day 2 — Understanding Human Needs and Bias in ML

• Human perception, cognition, and trust in AI systems
• Identifying and measuring bias in datasets and models
• Inclusive data collection strategies
• Human diversity and accessibility in AI

Day 3 — Designing User-Friendly and Interpretable AI Systems

• UX principles for AI-driven applications
• Explainable AI (XAI): Techniques and best practices
• Transparency and interpretability in different models (e.g., black-box vs. white-box)
• Visualizing machine learning outputs for end-users

Day 4 — Human-in-the-Loop Learning and Feedback Integration

• Concepts of Human-in-the-Loop (HITL) systems
• Reinforcement learning from human feedback
• Interactive labeling, active learning, and adaptive systems
• Tools for prototyping HCML systems (e.g., Teachable Machine, LIME, SHAP)

Day 5 — Ethical, Social, and Practical Implications of HCML

• The role of empathy, transparency, and trust in AI adoption
• Regulatory perspectives and ethical AI governance
• Designing for marginalized and vulnerable populations
• Group activity: Propose and present a human-centered AI project

Accreditation

Al-Khobraa certified. On completion delegates receive an Al-Khobraa certificate of achievement.

Dates & Venues

Dates	Venue	Delivery	Duration	Fee (USD)
27 September – 1 October 2026	Dubai, UAE	Public	5 days	3,900
1–5 November 2026	Istanbul, Turkey	Public	5 days	4,500

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Frequently Asked Questions

What do Al-Khobraa AI, technology and digital courses cover?

The portfolio covers cyber security, data analytics and data science, artificial intelligence (AI) and machine learning, Power BI and Excel for analysis, digital transformation and IT governance. Courses are applied — delegates work with real datasets and tools rather than slideware.

Who should attend an AI, technology or digital course?

These courses suit IT and cyber security staff, data and business analysts, engineers and operations professionals who work with plant or business data, digital transformation teams, and managers who commission or govern technology projects. Foundation-level courses assume no programming background.

How long are AI, technology and digital courses, and where are they held?

Most Al-Khobraa AI, technology and digital courses run over 5 days. The exact duration, dates and city for this course are listed in the dates section on this page. Public sessions run across Saudi Arabia — Riyadh, Jeddah, Al-Khobar, Jubail and Yanbu — as well as regional and international venues, with live virtual classrooms available on request.

What certificate will I receive?

Delegates who complete the course receive an Al-Khobraa certificate of completion, issued by a Saudi-registered training provider. Al-Khobraa also delivers internationally accredited programmes; where a course carries an external awarding body such as PMI, CIPS, ILM or IOSH, that body is named on the course's own page.

Can AI, technology and digital training be delivered in-house for our team?

Yes. Any Al-Khobraa AI, technology and digital course can be delivered in-house at your own premises anywhere in Saudi Arabia or the GCC, with the content, dates and language of delivery tailored to your team. Al-Khobraa is an approved HRDF (Hadaf) provider, so eligible Saudi employers can seek training support. Contact us for a quotation.

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