Generative AI in Healthcare Training in Astana

Generative AI in Healthcare Training in Astana, Kazakhstan

It balances technical foundations, practical applications, and ethical/regulatory considerations, equipping participants with the skills to design and evaluate AI-driven healthcare solutions.

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Generative AI in Healthcare Training is a professional training program delivered by ProgNXT in Astana, Kazakhstan. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Generative AI in Healthcare Training course with hands-on, instructor-led sessions. This course explores how Generative AI (GenAI) is revolutionizing healthcare by enabling drug discovery, clinical decision support, personalized...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: SSH84
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course explores how Generative AI (GenAI) is revolutionizing healthcare by enabling drug discovery, clinical decision support, personalized treatment, medical imaging enhancement, and patient engagement. It balances technical foundations, practical applications, and ethical/regulatory considerations, equipping participants with the skills to design and evaluate AI-driven healthcare solutions.

Welcome to the official Generative AI in Healthcare Training certification program in Astana, Kazakhstan. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of AI/ML concepts.
Familiarity with healthcare workflows (clinical, pharma, diagnostics).
No deep programming background required, but knowledge of Python is an advantage.

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

Explain how generative AI models work (LLMs, diffusion models, GANs, transformers) in a healthcare context.
Apply GenAI in use cases such as medical imaging, drug discovery, clinical documentation, and virtual assistants.
Evaluate opportunities and limitations of generative AI in healthcare delivery.
Address risks, ethics, and regulatory compliance (HIPAA, GDPR, FDA guidelines).
Design simple prototypes or workflows integrating GenAI into healthcare solutions.

Application of AI/GenAI tools in clinical and research settings.
Healthcare data handling and privacy-aware AI usage.
Workflow automation for clinical documentation and patient interaction.
Analytical and design thinking for AI-driven healthcare innovation.
Knowledge of ethics, compliance, and bias management in healthcare AI.

MCQs on GenAI models and healthcare applications
Case analysis of a healthcare GenAI use case (e.g., drug discovery or imaging)
Short assignment: Drafting an AI solution workflow for a healthcare challenge
Group project: Prototype or conceptual design for AI in healthcare

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Foundations & Clinical Applications

Introduction to Generative AI in Healthcare

Overview of Generative AI (LLMs, diffusion models, GANs)
AI trends shaping healthcare and life sciences

Clinical Data & Documentation

Automating clinical note generation and summarization
Medical coding and billing support
Virtual assistants for doctors and patients

Imaging & Diagnostics

Enhancing medical imaging with GenAI (X-rays, MRI, CT scans)
Synthetic data generation for rare conditions

Drug Discovery, Patient Care & Compliance

Drug Discovery & Personalized Medicine

Molecular structure generation for drug design
AI in genomics and precision medicine
Case Study: AI-assisted vaccine development

Patient Engagement & Virtual Health

Chatbots and conversational AI for patient queries
Personalized treatment recommendations
AI-driven clinical trial recruitment

Risk, Ethics, and Regulatory Considerations

Data privacy and security (HIPAA, GDPR in healthcare AI)
Ethical concerns: bias, transparency, explainability
FDA/EMA perspectives on AI-enabled medical devices

Hands-on Workshop

Building a prototype: Clinical note summarizer / Patient chatbot
Hands-on Exercises

Summary and Conclusion

Slides and lecture notes
Case study handouts
Python notebooks for hands-on demos (optional)
Recommended reading

Participation & Discussions
Quizzes & Assignments

ProgNXT Certificate of Completion will be awarded to participants who successfully complete the course and assessments.

Generative AI in Healthcare Training Events in astana

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

24th Oct 2026→25th Oct 2026

November 2026

📍 Astana, Kazakhstan

4th Nov 2026→5th Nov 2026

🌐 Online Instructor-Led

9th Nov 2026→10th Nov 2026

🌐 Online Instructor-Led

18th Nov 2026→19th Nov 2026

📍 Astana, Kazakhstan

23rd Nov 2026→24th Nov 2026

December 2026

📍 Astana, Kazakhstan

1st Dec 2026→2nd Dec 2026

🌐 Online Instructor-Led

6th Dec 2026→7th Dec 2026

🌐 Online Instructor-Led

19th Dec 2026→20th Dec 2026

📍 Astana, Kazakhstan

24th Dec 2026→25th Dec 2026

Events for other courses in Astana, Kazakhstan

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Generative AI in Healthcare Training in Astana