Generative AI and Prompt Engineering in Healthcare Training Course

Delve into agentic AI in healthcare through this instructor-led training in India. Acquire the skills to design, evaluate, and govern agent workflows for clinical scenarios. Learners will construct retrieval-augmented agents, implement guardrails, and master governance principles via hands-on labs and scenario-based tasks.

This instructor-led, live training in India (online or on-site) is designed for intermediate to advanced healthcare professionals and AI developers who want to implement AI-driven healthcare solutions.

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

• Grasp the role of AI agents in healthcare and diagnostics.
• Create AI models for medical image analysis and predictive diagnostics.
• Integrate AI with electronic health records (EHR) and clinical workflows.
• Ensure adherence to healthcare regulations and ethical AI practices.

This instructor-led, live training in India (online or onsite) is designed for intermediate-level healthcare professionals who want to apply AI and AR/VR solutions for medical education, surgical simulations, and rehabilitation.

Upon completion of this training, participants will be able to:

• Comprehend how AI improves AR/VR experiences within healthcare.
• Utilise AR/VR for surgical simulations and medical education.
• Implement AR/VR tools for patient rehabilitation and therapy.
• Investigate the ethical and privacy issues surrounding AI-enhanced medical instruments.

This instructor-led live training (online or onsite) is designed for intermediate-level data scientists and healthcare professionals aiming to utilize AI for advanced healthcare applications through Google Colab.

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

• Implement AI models for healthcare using Google Colab.
• Use AI for predictive modeling in healthcare data.
• Analyze medical images with AI-driven techniques.
• Explore ethical considerations in AI-based healthcare solutions.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level healthcare professionals and data scientists who wish to understand and apply AI technologies in healthcare environments.

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

• Identify key healthcare challenges that AI can address.
• Analyze AI’s impact on patient care, safety, and medical research.
• Understand the relationship between AI and healthcare business models.
• Apply fundamental AI concepts to healthcare scenarios.
• Develop machine learning models for medical data analysis.

This instructor-led, live training in India (online or onsite) is designed for healthcare professionals and researchers who wish to leverage ChatGPT to enhance patient care, streamline workflows, and improve healthcare outcomes.

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

• Understand the fundamentals of ChatGPT and its applications in healthcare.
• Utilize ChatGPT to automate healthcare processes and interactions.
• Provide accurate medical information and support to patients using ChatGPT.
• Apply ChatGPT for medical research and analysis.

This live, instructor-led training in India (online or onsite) targets intermediate-level healthcare professionals, biomedical engineers, and AI developers who want to leverage Edge AI for innovative healthcare solutions.

Upon completing this training, participants will be able to:

• Grasp the role and advantages of Edge AI in the healthcare sector.
• Build and deploy AI models on edge devices for healthcare use cases.
• Implement Edge AI solutions in wearable devices and diagnostic tools.
• Design and deploy patient monitoring systems leveraging Edge AI.
• Navigate ethical and regulatory considerations in healthcare AI applications.

This instructor-led, live training in India (online or onsite) is designed for intermediate to advanced medical AI developers and data scientists who want to refine models for clinical diagnosis, disease prediction, and patient outcome forecasting using structured and unstructured medical data.

Upon completing this training, participants will be equipped to:

• Refine AI models using healthcare datasets, including EMRs, imaging, and time-series data.
• Implement transfer learning, domain adaptation, and model compression within medical contexts.
• Manage privacy, bias, and regulatory compliance during model development.
• Deploy and monitor refined models in practical healthcare settings.

This instructor-led, live training in India (online or onsite) is designed for beginner to intermediate-level healthcare professionals, data analysts, and policymakers who wish to understand and apply generative AI within the healthcare context.

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

• Explain the principles and applications of generative AI in healthcare.
• Identify opportunities for generative AI to enhance drug discovery and personalised medicine.
• Utilise generative AI techniques for medical imaging and diagnostics.
• Assess the ethical implications of AI in medical settings.
• Develop strategies for integrating AI technologies into healthcare systems.

Delve into the application of LangGraph in healthcare through this live training in India, specifically tailored for professionals with intermediate to advanced expertise. Master the design of stateful, compliant workflows, learn to integrate critical standards like FHIR and SNOMED CT, and gain strategies to address ethical and operational challenges within strictly regulated environments.

This instructor-led, live training in India (online or onsite) is designed for intermediate to advanced-level healthcare professionals, medical researchers, and AI developers looking to apply multimodal AI in medical diagnostics and healthcare solutions.

Upon completing this training, participants will be able to:

• Grasp the role of multimodal AI in contemporary healthcare.
• Integrate structured and unstructured medical data for AI-powered diagnostics.
• Apply AI techniques to analyse medical images and electronic health records.
• Build predictive models for disease diagnosis and treatment suggestions.
• Implement speech and natural language processing (NLP) for medical transcription and patient engagement.

This live training in India empowers healthcare practitioners and IT teams to deploy Ollama for local LLM management. Participants will learn to integrate AI into clinical workflows, tailor models for specific operational needs, and maintain rigorous data privacy and regulatory compliance within secure healthcare infrastructures.

This instructor-led, live training in India (online or onsite) is designed for intermediate-level healthcare professionals and AI developers who wish to leverage prompt engineering techniques to improve medical workflows, research efficiency, and patient outcomes.

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

• Understand the fundamentals of prompt engineering in healthcare.
• Use AI prompts for clinical documentation and patient interactions.
• Leverage AI for medical research and literature review.
• Enhance drug discovery and clinical decision-making with AI-driven prompts.
• Ensure compliance with regulatory and ethical standards in healthcare AI.

This instructor-led, live training in India delves into the core principles and practical fundamentals of AI in telemedicine. It equips participants with actionable skills in utilizing ChatGPT, Claude, and enterprise automation, directly applicable to modern clinical environments and contemporary healthcare demands.

This instructor-led live training in India focuses on deploying TinyML solutions for healthcare monitoring and diagnostics. Learners will master the design of models for real-time health data, optimize for low-power wearables, and ensure clinical reliability. The course includes practical lab exercises.