Agentic AI in Healthcare Training Course
Agentic AI refers to an approach where artificial intelligence systems plan, reason, and utilize tools to achieve specific goals within established constraints.
This instructor-led, live training (available online or onsite) is designed for intermediate-level healthcare and data teams aiming 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.
Course Outline
Foundations of Agentic AI for Healthcare
- Agentic vs. tool-only LLM applications
- Autonomy boundaries, policies, and human oversight
- Healthcare data landscape and constraints (EHR, FHIR, PHI)
Designing Agent Workflows
- Planning, memory, tool use, and reflection loops
- Prompt engineering, functions/tools, and action selection
- State management and orchestration patterns
Retrieval-Augmented Agents
- Medical document ingestion and chunking
- Embeddings, vector stores, and relevance evaluation
- Grounding responses and citation strategies
Healthcare Integrations and Interoperability
- FHIR/SMART basics for agent connectivity
- Working with structured and unstructured clinical data
- Eventing, APIs, and audit trails
Safety, Risk, and Governance
- Guardrails, red-teaming, and fail-safe design
- PHI handling, de-identification, and access controls
- Human-in-the-loop review and escalation paths
Evaluation and Monitoring
- Offline evaluations, golden sets, and KPI definition
- Hallucination detection and factuality checks
- Observability, logging, and cost/latency management
Deployment Patterns and Hands-on Lab
- API-based vs. on-prem model choices
- Building a retrieval-augmented agent with LangChain, FastAPI, and ChromaDB
- Simulated incident response and rollback procedures
Summary and Next Steps
Requirements
- An understanding of basic Python programming
- Experience with data analysis or ML workflows
- Familiarity with healthcare data concepts (e.g., EHR, FHIR)
Audience
- Healthcare data scientists and ML engineers
- Clinical informatics and digital health product teams
- IT leaders and innovation managers in healthcare
Open Training Courses require 5+ participants.
Agentic AI in Healthcare Training Course - Booking
Agentic AI in Healthcare Training Course - Enquiry
Agentic AI in Healthcare - Consultancy Enquiry
Upcoming Courses
Related Courses
AI Agents for Healthcare and Diagnostics
14 HoursThis instructor-led, live training in Romania (online or onsite) is designed for intermediate to advanced healthcare professionals and AI developers looking to deploy 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.
AI and AR/VR in Healthcare
14 HoursThis guided, real-time training in Romania (online or in-person) is designed for intermediate-level healthcare professionals aiming to deploy AI and AR/VR solutions for clinical education, surgical simulations, and rehabilitation purposes.
Upon completion of this program, attendees will be capable of:
- Comprehending how AI improves AR/VR applications in healthcare.
- Utilizing AR/VR for surgical simulations and professional medical training.
- Implementing AR/VR tools to support patient rehabilitation and therapy.
- Examining the ethical and privacy challenges associated with AI-boosted medical instruments.
AI for Healthcare using Google Colab
14 HoursThis instructor-led live training in Romania (online or onsite) targets intermediate-level data scientists and healthcare professionals aiming to leverage AI for advanced healthcare applications via 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.
AI in Healthcare
21 HoursThis instructor-led, live training in Romania (online or in-person) is designed for intermediate-level healthcare professionals and data scientists who aim to comprehend and apply AI technologies in healthcare contexts.
By the conclusion of this training, participants will be able to:
- Recognize primary healthcare challenges that AI is equipped to resolve.
- Evaluate the influence of AI on patient well-being, safety protocols, and medical research advancements.
- Grasp the interplay between AI technologies and healthcare business strategies.
- Implement core AI principles to address healthcare-specific scenarios.
- Construct machine learning models designed for the analysis of medical data.
ChatGPT for Healthcare
14 HoursThis instructor-led, live training in Romania (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:
- 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.
Governance and Security Patterns for WrenAI in the Enterprise
14 HoursWrenAI is an AI-driven analytics platform built to link data, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential for ensuring safe and compliant adoption.
This instructor-led, live training (available online or on-site) is designed for advanced-level enterprise professionals who want to implement governance, compliance, and security patterns for WrenAI at scale.
By the end of this training, participants will be able to:
- Design and implement permissioning models in WrenAI.
- Apply auditability and monitoring practices for compliance.
- Set up secure environments with enterprise-level controls.
- Roll out WrenAI safely across large organizations.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with governance and security configurations.
- Practical exercises simulating enterprise rollout scenarios.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI empowers organizations to shift from static dashboards to conversational analytics and embedded generative BI. Successfully navigating this transformation demands strategic adoption planning, thorough asset migration, and robust change management practices.
This instructor-led live training (available online or onsite) is designed for intermediate-level BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.
Upon completion of this training, participants will be able to:
- Assess legacy BI environments and pinpoint modernization opportunities.
- Develop and implement migration strategies from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI functionalities.
- Drive organizational change management efforts during BI modernization.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises focused on migration and adoption planning.
- Practical labs covering conversational analytics and embedded GenBI.
Course Customization Options
- For customized training requests, please contact us to arrange a session.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL and empowers AI-driven analytics, making data access faster and more intuitive. For enterprise-grade applications, rigorous quality assurance and observability practices are critical to ensuring accuracy, reliability, and regulatory compliance.
This instructor-led live training, available online or on-site, targets advanced data and analytics professionals seeking to evaluate query precision, apply prompt tuning strategies, and implement observability practices to monitor WrenAI in production environments.
Upon completion of this training, participants will be equipped to:
- Assess the accuracy and reliability of natural language to SQL outputs.
- Utilize prompt tuning techniques to enhance performance.
- Track query behavior and detect drift over time.
- Integrate WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on evaluation and tuning methodologies.
- Hands-on labs covering observability and monitoring integrations.
Customization Options
- To request a tailored version of this course, please contact us to arrange it.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for converting natural language into SQL queries, constructing custom applications, and embedding charts within internal platforms.
This instructor-led, live training, available online or onsite, is designed for intermediate-level engineers looking to leverage the WrenAI API for practical use cases, such as SQL generation, data visualization, and application integration.
Upon completing this training, participants will be able to:
- Authenticate and link applications to the WrenAI API.
- Generate SQL queries from natural language inputs.
- Create and embed charts using API endpoints.
- Integrate WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Practical exercises involving API calls and integrations.
- Real-world projects connecting applications, charts, and data pipelines.
Customization Options
- To arrange customized training for this course, please contact us.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud is a contemporary platform designed for linking data sources, modeling data, and constructing interactive dashboards.
This instructor-led, live training (available online or onsite) targets beginner to intermediate data professionals seeking to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards.
By the end of this training, participants will be able to:
- Set up and configure WrenAI Cloud environments.
- Connect WrenAI Cloud to multiple data sources.
- Model data and define relationships for analytics.
- Create interactive dashboards for business insights.
Format of the Course
- Interactive lecture and discussion.
- Hands-on cloud platform configuration and data modeling.
- Practical exercises in dashboard building and visualization.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardized metrics, and design dashboards that comply with regulatory requirements and audit standards.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced finance professionals who aim to leverage WrenAI to build compliant financial data models and dashboards that support decision-making and risk management.
Upon completing this training, participants will be able to:
- Model financial KPIs and metrics within WrenAI.
- Construct dashboards aligned with regulatory and audit requirements.
- Integrate WrenAI with finance data sources for real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Format of the Course
- Interactive lecture and discussion.
- Hands-on exercises with financial data models.
- Practical labs on dashboard design and compliance reporting.
Course Customization Options
- To request customized training for this course, please contact us to arrange it.
WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative BI tool designed to facilitate natural language to SQL conversion and semantic data modeling.
This instructor-led, live training session (available online or on-site) is designed for advanced-level data engineers, analytics engineers, and ML engineers who aim to build robust semantic layers, refine prompts, and ensure reliable SQL generation.
Upon completion of this training, participants will be able to:
- Implement semantic models to ensure consistent metric definitions across teams.
- Optimize text-to-SQL performance for greater accuracy and scalability.
- Configure and enforce guardrails to prevent invalid or risky queries.
- Integrate WrenAI OSS into data pipelines and analytics workflows.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical applications.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
WrenAI for Product Teams: Conversational Analytics and Self-Service BI
14 HoursWrenAI is a conversational analytics platform that translates natural-language queries into reliable analytics, enabling non-technical teams to generate insights quickly and consistently.
This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service BI capabilities with WrenAI.
By the end of this training, participants will be able to:
- Design conversational analytics workflows that surface reliable product insights.
- Create and maintain a standardized metrics layer for consistent reporting.
- Use natural-language to SQL features effectively to answer product questions.
- Embed WrenAI-driven self-service dashboards and guardrails in product workflows.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with Wren AI and sample datasets.
- Workshop: build a self-service dashboard and conversational query set.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products
14 HoursWrenAI empowers SaaS providers to seamlessly embed generative business intelligence (GenBI) directly within their customer-facing products. This course equips SaaS teams with the expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments effectively.
This instructor-led, live training (available online or onsite) targets intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers who aim to deploy WrenAI as an embedded analytics solution within SaaS environments.
Upon completing this training, participants will be able to:
- Integrate WrenAI using the Embedded API for customer-facing applications.
- Implement white-label conversational BI with tailored branding and customization.
- Design secure and scalable multi-tenant deployments.
- Monitor usage, optimize performance, and ensure compliance in SaaS environments.
Course Format
- Interactive lectures and discussions.
- Hands-on labs utilizing the WrenAI Embedded API.
- Workshop: Design and deploy a white-label analytics feature for a SaaS use case.
Customization Options
- To request a customized training for this course, please contact us to arrange.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursWrenAI Spreadsheets and the Metrics Library facilitate rapid reporting by leveraging AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.
This instructor-led training session (available online or onsite) targets beginner to intermediate-level operations professionals seeking to expedite reporting and analysis processes through WrenAI Spreadsheets and the Metrics Library.
Upon completion of this training, participants will be capable of:
- Developing AI-enhanced spreadsheets for data analysis and reporting.
- Utilizing the WrenAI Metrics Library to establish standardized KPIs.
- Linking spreadsheets to various data sources to ensure real-time updates.
- Designing automated workflows to streamline operational reporting.
Course Format
- Interactive lectures and discussions.
- Practical sessions on building spreadsheets with WrenAI.
- Applied exercises focused on metrics and KPI reporting.
Course Customization Options
- To arrange a customized training version of this course, please contact us.