Course Overview
Artificial intelligence is rapidly transforming healthcare, particularly in medical imaging, diagnostics, and clinical decision support. This course introduces the foundational concepts behind AI in healthcare environments, focusing on imaging workflows, data standards, and practical applications.
Across two mentor-led days, learners explore how healthcare systems manage imaging data through technologies such as PACS and DICOM. Through practical scenarios, participants examine how machine learning models interact with healthcare datasets and how AI tools support clinical workflows.
The course also covers responsible AI usage, healthcare data governance considerations, and the fundamentals of deploying AI within healthcare environments. By the end of the programme, participants will understand how AI systems integrate with clinical infrastructure and how data-driven healthcare technologies operate.
Hands-On Learning
Practical scenarios exploring healthcare data workflows, imaging datasets, and AI-assisted diagnostic processes.
Mentor-Led Sessions
Expert mentors guide participants through healthcare AI concepts using real clinical workflow examples.
Career-Ready Skills
Build foundational knowledge of healthcare AI systems, imaging data standards, and responsible data usage.
Learning Outcomes
Design basic healthcare AI workflow concepts
Analyse medical imaging data pipelines
Implement structured data preparation approaches
Evaluate AI-assisted diagnostic processes
Communicate AI insights in healthcare contexts
Lead discussions on responsible healthcare AI adoption
Prerequisites
Basic understanding of healthcare or IT environments.
Familiarity with digital systems or data concepts.
Interest in healthcare technology and AI applications.
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- Overview of digital healthcare systems
- Healthcare data types and formats
- Introduction to medical imaging workflows
- Understanding healthcare IT environments
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of AI in Healthcare, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
No, the course introduces healthcare AI concepts suitable for IT and data professionals.
Ready to Start Your Learning Journey?
Take the next step in your professional development