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 Rio de Janeiro 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
Rio de Janeiro - Candelaria
Edifício Candelaria Corporate, 65 Candelaria Street, 16th Floor, Rio de Janeiro, Brazil, 20091-020
The Candelaria Corporate Center occupies the 16th floor it is located in the city's largest commercial district. It is also close to every kind of business amenity from banking to hotels, and is a short walk from the railway station, as well as being close to the Santos Dumont domestic airport.
Rio de Janeiro-Lagoa Rodrigo de Freitas Humaita
7º andar, Humaitá, 275, Rio de Janeiro, Brazil, 22261-005
Regus is located in the 6th and 7th floor of Lagoa Corporate Building, Humaitá and Lagoa Area, Rio de Janeiro. It is the only corporate building in Lagoa Rodrigo de Freitas area. Next to the Rebouças Tunnel, going north zone and close to Gavea region with easy access to west zone/Barra da Tijuca.
The region is served by several bus lines, as well as being easily accessible by fast-moving roads and large corridors. The building has a unique view from Lagoa Rodrigo de Freitas (Lagoon), and is close to banks, nice restaurants, hotels, botanic garden, bike lanes, acquatic sports and public transportation. It offers:
Fully equipped offices, ready to start working
Coworking area and business lounges fully equipped
Meeting rooms
Regus IT high speed internet access
Administrative support on request
Major transport link with major bus lines
Break-out areas
Concierge services at the reception of the building
Major public transportations from main city hubs
Secure parking with valet service
Rio de Janeiro - O2 Corporate
Av. José Silva de Azevedo Neto, 200 – BL 04 – Room 104 Rio de Janeiro, Rio de Janeiro, Brazil, 22775-056
Position your business within Rio de Janeiro's expansive commercial hub. Connect and collaborate with thriving enterprises within this sophisticated nine-building complex, opening doors to further expansion and development.
Engage in your tasks within a contemporary and elegant workspace, complete with amenities like an in-house coffee bar and an outdoor terrace. Explore various recreational activities nearby, from the bustling Barra Shopping mall to the pristine 17km stretch of sandy beaches.
This instructor-led, live training in Rio de Janeiro (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 Rio de Janeiro (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 Rio de Janeiro (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 Rio de Janeiro (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 Rio de Janeiro (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 Rio de Janeiro (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 Rio de Janeiro (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 Rio de Janeiro (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 Rio de Janeiro (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 Rio de Janeiro (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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