AI for Healthcare Training in Gaia

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

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

• Fine-tune AI models using healthcare datasets, including Electronic Medical Records (EMRs), imaging data, and time-series data.
• Implement transfer learning, domain adaptation, and model compression techniques within medical contexts.
• Address privacy concerns, bias mitigation, and regulatory compliance during model development.
• Deploy and monitor fine-tuned models in real-world healthcare settings.

This instructor-led training in Gaia empowers healthcare professionals with the skills to apply generative AI and prompt engineering to clinical tasks. It focuses on streamlining workflows, ensuring ethical compliance, and optimizing AI-generated content to achieve accurate medical results.

This instructor-led live training in Gaia (online or onsite) targets intermediate data scientists and healthcare professionals keen on leveraging AI for advanced medical applications via Google Colab.

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

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

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

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

• Comprehend 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 instructor-led, live training in Gaia (online or onsite) targets beginner to intermediate-level healthcare professionals, data analysts, and policymakers who aim to understand and apply generative AI in the healthcare sector.

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

• Articulate the core principles and practical applications of generative AI in healthcare.
• Recognize opportunities where generative AI can improve drug discovery and personalized medicine.
• Apply generative AI techniques to medical imaging and diagnostics.
• Evaluate the ethical implications of AI deployment in medical environments.
• Formulate strategies for integrating AI technologies into existing healthcare systems.

This live training in Gaia empowers healthcare practitioners and IT teams to deploy Ollama for local LLMs. Participants will learn to integrate AI into clinical workflows, tailor models for specific operational tasks, and uphold rigorous data privacy and regulatory compliance standards within secure healthcare environments.

This instructor-led, live training in Gaia (online or onsite) is designed for intermediate to advanced healthcare professionals and AI developers aiming to implement AI-driven healthcare solutions.

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

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

This instructor-led live training in Gaia (online or onsite) is designed for intermediate-level healthcare professionals and data scientists who aim to understand and implement AI technologies in healthcare settings.

By the conclusion 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.

Dive into agentic AI in healthcare with this instructor-led session in Gaia. Master the design, assessment, and governance of agent workflows for clinical settings. Through practical labs and scenario-based challenges, participants will construct retrieval-augmented agents, implement guardrails, and develop robust governance strategies.

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals, medical researchers, and AI developers who wish to apply multimodal AI in medical diagnostics and healthcare applications.

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

• Understand the role of multimodal AI in modern healthcare.
• Integrate structured and unstructured medical data for AI-driven diagnostics.
• Apply AI techniques to analyze medical images and electronic health records.
• Develop predictive models for disease diagnosis and treatment recommendations.
• Implement speech and natural language processing (NLP) for medical transcription and patient interaction.

This instructor-led, live training in Gaia (online or onsite) is designed for healthcare professionals, biomedical engineers, and AI developers at an intermediate level who wish to utilise Edge AI for innovative healthcare solutions.

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

• Comprehend the role and advantages of Edge AI in healthcare.
• Create and deploy AI models on edge devices for healthcare applications.
• Implement Edge AI solutions within wearable devices and diagnostic tools.
• Design and deploy patient monitoring systems using Edge AI.
• Tackle ethical and regulatory issues pertaining to healthcare AI applications.

Discover LangGraph for healthcare through this live training held in Gaia, designed for intermediate to advanced professionals. Learn to build stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and navigate ethical and operational challenges within regulated settings.

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

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

• Grasp the core principles of prompt engineering within healthcare.
• Utilize AI prompts for clinical documentation and patient communication.
• Apply AI for medical research and literature reviews.
• Improve drug discovery and clinical decision-making through AI-driven prompts.
• Maintain compliance with regulatory and ethical standards in healthcare AI.

This live, instructor-led training in Gaia focuses on the implementation of TinyML solutions for health monitoring and diagnostics. Learners will master the design of models for real-time physiological data, optimization strategies for low-power wearables, and methods to guarantee clinical reliability. The curriculum includes practical laboratory exercises.

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level healthcare professionals who wish to apply AI and AR/VR solutions for medical training, surgery simulations, and rehabilitation.

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

• Understand the role of AI in enhancing AR/VR experiences in healthcare.
• Use AR/VR for surgery simulations and medical training.
• Apply AR/VR tools in patient rehabilitation and therapy.
• Explore the ethical and privacy concerns in AI-enhanced medical tools.