An intensive professional development training course on

Human-Centered Machine Learning (HCML)

Designing AI Systems that Prioritize People, Context, and Ethical Intelligence

Why Choose Human-Centered Machine Learning (HCML) Training Course?

In the era of rapid AI advancement, the emphasis is shifting from building purely data-driven models to developing systems that truly understand, respect, and respond to human needs. Human-Centered Machine Learning (HCML) is an emerging discipline at the intersection of machine learning, human-computer interaction (HCI), psychology, and design. It focuses on creating intelligent systems that are not only technically accurate but also ethically sound, inclusive, interpretable, and responsive to human behavior, values, and societal impact.

This Human-Centered Machine Learning (HCML) training course provides a deep dive into the principles, tools, and methods of HCML—enabling participants to design and implement AI solutions that are user-friendly, trustworthy, and meaningful. Through a combination of theory, real-world case studies, and hands-on projects, learners will explore how to align machine learning development with human insight and feedback, reduce bias, and enhance transparency and usability in AI applications.

What are the Goals?

By the end of this training course, participants will be able to:

  • Understand the principles of Human-Centered Design in the context of AI and ML
  • Identify and reduce algorithmic bias and ensure ethical fairness in machine learning models
  • Integrate human feedback into the model training and refinement loop
  • Design user-centric AI interfaces that enhance transparency, trust, and interpretability
  • Apply participatory design practices to AI system development
  • Evaluate the usability and societal impact of intelligent systems

The Course Content

  • 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
  • Case studies: Human impact of poorly designed ML systems
  • 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
  • Workshop: Diagnosing bias in real-world AI applications
  • 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
  • Hands-on: Building interpretable models using user-centric tools
  • 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)
  • Case study: Iterative refinement with user feedback
  • 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
  • Final discussion: The future of HCML in responsible AI

Certificate and Accreditation

  • AZTech Certificate of Completion for delegates who attend and complete the training course

How Aztech Saudi Can Enhance Your Professional Career

At Aztech Saudi, we believe that professional development is the foundation of long-term career success. This training course is expertly designed to equip individuals with practical skills, forward-thinking strategies, and the confidence to navigate today’s dynamic work environments. Each course is delivered by subject matter specialists with extensive industry experience, ensuring that every learning experience is relevant, impactful, and aligned with real-world challenges. Whether you're looking to strengthen your technical expertise, enhance leadership abilities, or stay ahead of industry trends, Aztech Saudi provides the tools you need to elevate your performance and deliver measurable value to your organization.

Our training is more than just knowledge transfer—it’s a catalyst for career transformation. By participating in our courses, professionals gain a competitive advantage in their fields, improve their decision-making capabilities, and position themselves for new opportunities and leadership roles. We take pride in supporting individuals across various sectors and career stages, helping them unlock their full potential through high-quality, globally benchmarked learning experiences. With Aztech Saudi as your development partner, you’re not only investing in education—you're investing in a stronger, more successful future.

In Partnership With
Anderson
Copex
Coventry
Do you want to learn more about this course?

Available Sessions

Register for Human-Centered Machine Learning (HCML) on 15-19 Sep 2025 in Dubai - UAE
Venue: Dubai - UAE
Register
Date: 15-19 Sep 2025
Fee: US $5,950
Register for Human-Centered Machine Learning (HCML) on 15-19 Dec 2025 in London - UK
Venue: London - UK
Register
Date: 15-19 Dec 2025
Fee: US $5,950
Register for Human-Centered Machine Learning (HCML) on 06-10 Apr 2026 in Dubai - UAE
Venue: Dubai - UAE
Register
Date: 06-10 Apr 2026
Fee: US $5,950
Register for Human-Centered Machine Learning (HCML) on 13-17 Jul 2026 in Amsterdam - The Netherlands
Venue: Amsterdam - The Netherlands
Register
Date: 13-17 Jul 2026
Fee: US $5,950
Register for Human-Centered Machine Learning (HCML) on 19-23 Oct 2026 in Dubai - UAE
Venue: Dubai - UAE
Register
Date: 19-23 Oct 2026
Fee: US $5,950
Register for Human-Centered Machine Learning (HCML) on 14-18 Dec 2026 in London - UK
Venue: London - UK
Register
Date: 14-18 Dec 2026
Fee: US $5,950
Register for Human-Centered Machine Learning (HCML) Online in Online
Venue: Online
Register
Date: 21-25 Jul 2025
Fee: US $3,950

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