AI is redefining how the healthcare sector diagnoses, treats, and manages patient care. From medical imaging to personalized treatment plans, it is opening new pathways for innovation while demanding a deeper understanding of both technology and ethics.
These instructor-led live training courses bring professionals into the heart of AI applications in healthcare. Through hands-on practice and guided exploration, participants learn to work with clinical data, explore predictive modeling, and understand the role of AI in real-world hospital and research environments.
Training is available as online live training with an interactive remote desktop, giving participants the flexibility to join from anywhere while engaging in real-time collaboration.
Onsite live training can be delivered locally at customer premises in Salvador or hosted at NobleProg corporate training centers, providing healthcare teams with a focused and immersive environment for learning.
Also known as AI in Healthcare, AI in Medicine or Healthcare AI, this learning track helps bridge the divide between technical expertise and healthcare innovation, preparing organizations for the next wave of intelligent medical solutions.
NobleProg — Your Local Training Provider
Salvador-Suarez Trade
Av. Tancredo Neves, 450 - Caminho das Árvores, Salvador, Brazil, 41819-900
The Salvador Suarez Trade Center office space is situated on the 16th floor of a 34-story granite blue glass skyscraper, located on a main road through the financial district. Salvador is the second most popular tourist destination in Brazil. National and international real estate developers are investing in the expansion of the city, and construction is one of the most important commercial activities. The city is also attracting major global companies, creating oil plants, car factories and chemicals near Salvador. The port plays a key role in local trade, especially for the transport of agricultural products from the surrounding region. The city is popular for conferences. Salvador Suarez Trade Center has a fully equipped auditorium, a lan house and its own parking lot, and is near one of the city's main shopping centers. You can easily reach the international airport and other transport links.
Salvador - Mundo Plaza Centre
Avenue Tancredo Neves, 620 , Salvador , Brazil, 41820-901
Discover the ideal headquarters in this city, known for its business opportunities and as a sought-after tourist spot. Nestled in one of the most vibrant neighborhoods, the recently constructed Mundo Plaza Centre seamlessly blends modern architecture with lush greenery, providing you with an appealing work setting.
Be inspired by the stunning vistas from this airy and expansive office space. And after a productive day, immerse yourself in the finest accommodations, boutiques, and cultural offerings that Salvador has to offer.
This instructor-led, live training in Salvador (online or onsite) is aimed at intermediate-level to advanced-level medical AI developers and data scientists who wish to fine-tune models for clinical diagnosis, disease prediction, and patient outcome forecasting using structured and unstructured medical data.
By the end of this training, participants will be able to:
Fine-tune AI models on healthcare datasets including EMRs, imaging, and time-series data.
Apply transfer learning, domain adaptation, and model compression in medical contexts.
Address privacy, bias, and regulatory compliance in model development.
Deploy and monitor fine-tuned models in real-world healthcare environments.
Generative AI is a technology that creates new content such as text, images, and recommendations based on prompts and data.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals who wish to use generative AI and prompt engineering to improve efficiency, accuracy, and communication in medical contexts.
By the end of this training, participants will be able to:
Understand the fundamentals of generative AI and prompt engineering.
Apply AI tools to streamline clinical, administrative, and research tasks.
Ensure ethical, safe, and compliant use of AI in healthcare.
Optimize prompts to achieve consistent and accurate results.
Format of the Course
Interactive lecture and discussion.
Practical exercises and case studies.
Hands-on experimentation with AI tools.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Salvador (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI for advanced healthcare applications using Google Colab.
By the end 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 Salvador (online or onsite) is aimed at 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.
This instructor-led, live training in Salvador (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals, data analysts, and policy makers who wish to understand and apply generative AI in the context of healthcare.
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 personalized medicine.
Utilize 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.
This instructor-led, live training in Salvador (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals and AI developers who wish to implement AI-driven healthcare solutions.
By the end of this training, participants will be able to:
Understand 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 Salvador (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.
Agentic AI is an approach where AI systems plan, reason, and take tool-using actions to accomplish goals within defined constraints.
This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare and data teams who wish to design, evaluate, and govern agentic AI solutions for clinical and operational use cases.
By the end of this training, participants will be able to:
Explain agentic AI concepts and constraints in healthcare contexts.
Design safe agent workflows with planning, memory, and tool usage.
Build retrieval-augmented agents over clinical documents and knowledge bases.
Evaluate, monitor, and govern agent behavior with guardrails and human-in-the-loop controls.
Format of the Course
Interactive lecture and facilitated discussion.
Guided labs and code walkthroughs in a sandbox environment.
Scenario-based exercises on safety, evaluation, and governance.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Salvador (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 Salvador (online or onsite) is aimed at intermediate-level healthcare professionals, biomedical engineers, and AI developers who wish to leverage Edge AI for innovative healthcare solutions.
By the end of this training, participants will be able to:
Understand the role and benefits of Edge AI in healthcare.
Develop and deploy AI models on edge devices for healthcare applications.
Implement Edge AI solutions in wearable devices and diagnostic tools.
Design and deploy patient monitoring systems using Edge AI.
Address ethical and regulatory considerations in healthcare AI applications.
This instructor-led, live training in Salvador (online or onsite) is aimed at intermediate-level healthcare professionals and AI developers who wish to leverage prompt engineering techniques for improving 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 Salvador (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.
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