An Intensive 5-day Training Course
Human-Centered Machine Learning (HCML)
Designing AI Systems that Prioritize People, Context, and Ethical Intelligence
UPCOMING SESSIONS
| Date | Venue | Fee | |
|---|---|---|---|
| 06-10 Apr 2026 | Dubai - UAE | $5,950 | RESERVE A SEAT |
| 13-17 Jul 2026 | Amsterdam - The Netherlands | $5,950 | RESERVE A SEAT |
| 19-23 Oct 2026 | Dubai - UAE | $5,950 | RESERVE A SEAT |
| 14-18 Dec 2026 | London - UK | $5,950 | RESERVE A SEAT |
Training Course Overview
As AI technology evolves at a rapid pace, the focus is shifting from creating solely data-driven models to building systems that genuinely understand, respect, and address human needs. Human-Centered Machine Learning (HCML) is an emerging field at the crossroads of machine learning, human-computer interaction (HCI), psychology, and design. It emphasizes the development of intelligent systems that are not only technically robust but also ethically responsible, inclusive, interpretable, and attuned to human values, behavior, and societal impact.
This Human-Centered Machine Learning (HCML) training course offers an in-depth exploration of the core principles, tools, and methodologies behind human-centered AI. Participants will learn how to design and implement AI systems that are user-centric, trustworthy, and impactful. Through a blend of theoretical foundations, practical case studies, and hands-on projects, learners will gain the skills to align machine learning with human input, minimize bias, and improve the transparency and usability of AI applications.
Training Course Objectives
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
Designed for
This training course is suitable to a wide range of professionals but will greatly benefit:
- AI/ML Engineers and Data Scientists
- UX/UI Designers working with intelligent systems
- Human-Computer Interaction (HCI) researchers and practitioners
- Product Managers and Innovation Strategists
- Digital Transformation and Ethics Officers
- Policymakers and Tech Governance Professionals
Learning Methods
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
The Course Outline
- 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
The Certificate
- Anderson Certificate of Completion will be provided to delegates who attend and complete the course
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How can I register for a training course?
There are several convenient ways to register for our training programs:
- Online: Explore our training calendar, choose the course that suits your needs, and click the “Register Now” button on the course details page.
- Email: Share your details, including your name, organization, email address, and selected course, by sending an email to [email protected]
- Phone: Reach out to us directly at +971 4 273 3503, and our team will guide you through the registration process.
When will I receive confirmation of my registration?
Once your registration is successfully completed, you will receive a confirmation email within 24 hours. This email will contain your registration details, invoice, and the necessary joining instructions for the course.
What does the training fee cover?
Where are your training courses held?
Our training programs are hosted at luxurious five-star hotels in prestigious destinations across the globe. Some of our popular locations include Dubai, London, Kuala Lumpur, Amsterdam, New York, Paris, Vienna, and many other iconic cities.
Can I request customized corporate training?
Yes, we offer tailored corporate training solutions to meet your organization’s specific needs. Please contact us at [email protected] or call +971 4 273 3503 for more information.
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