Agentic AI in Healthcare Training Course
Agentic AI represents a paradigm where artificial intelligence systems autonomously plan, reason, and utilize tools to achieve specific objectives within established boundaries.
This instructor-led training, available either online or on-site, is designed for intermediate-level healthcare and data professionals looking to design, assess, and govern agentic AI solutions for both clinical and operational scenarios.
Upon completion of this training, participants will gain the ability to:
- Articulate the core concepts and limitations of agentic AI within healthcare environments.
- Develop secure agent workflows incorporating planning, memory retention, and tool integration.
- Construct retrieval-augmented agents that process clinical documents and knowledge repositories.
- Assess, monitor, and govern agent behavior using safety guardrails and human-in-the-loop mechanisms.
Course Format
- Interactive lectures complemented by facilitated discussions.
- Guided laboratory sessions and code walkthroughs conducted in a sandbox environment.
- Scenario-based exercises focused 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
- Distinguishing agentic systems from tool-only LLM applications
- Defining autonomy boundaries, policies, and human oversight
- Understanding the healthcare data landscape and constraints (EHR, FHIR, PHI)
Designing Agent Workflows
- Mechanisms for 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 techniques
- Utilizing embeddings, vector stores, and relevance evaluation
- Ensuring grounded responses and citation strategies
Healthcare Integrations and Interoperability
- Fundamentals of FHIR/SMART for agent connectivity
- Handling structured and unstructured clinical data
- Implementing eventing, APIs, and audit trails
Safety, Risk, and Governance
- Establishing guardrails, conducting red-teaming, and designing fail-safes
- Managing PHI, de-identification processes, and access controls
- Facilitating human-in-the-loop review and escalation paths
Evaluation and Monitoring
- Conducting offline evaluations, utilizing golden sets, and defining KPIs
- Detecting hallucinations and verifying factuality
- Enhancing observability, logging, and managing cost/latency
Deployment Patterns and Hands-on Lab
- Comparing API-based versus on-prem model choices
- Building a retrieval-augmented agent using LangChain, FastAPI, and ChromaDB
- Practicing simulated incident response and rollback procedures
Summary and Next Steps
Requirements
- A foundational understanding of Python programming
- Prior experience with data analysis or machine learning 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 Mexico (online or on-site) targets intermediate to advanced healthcare professionals and AI developers who aim to implement AI-driven healthcare solutions.
Upon completing 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 compliance with healthcare regulations and ethical AI practices.
AI and AR/VR in Healthcare
14 HoursThis instructor-led, live training in Mexico (online or on-site) is designed for intermediate-level healthcare professionals who aim to leverage AI and AR/VR solutions for medical training, surgical simulations, and rehabilitation programs.
Upon completing this training, participants will be able to:
- Grasp how AI enhances AR/VR experiences within healthcare.
- Utilize AR/VR for surgical simulations and medical education.
- Implement AR/VR tools in patient rehabilitation and therapy.
- Examine the ethical and privacy issues associated with AI-enhanced medical devices.
AI for Healthcare using Google Colab
14 HoursThis instructor-led, live training in Mexico (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.
AI in Healthcare
21 HoursThis instructor-led, live training in Mexico (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.
ChatGPT for Healthcare
14 HoursThis instructor-led, live training in Mexico (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:
- Grasp the fundamentals of ChatGPT and its applications in healthcare.
- Leverage ChatGPT to automate healthcare processes and interactions.
- Deliver 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 designed to connect data, model insights, and generate dashboards. In enterprise environments, robust governance and security are critical to ensuring safe and compliant adoption.
This instructor-led, live training (online or onsite) is aimed at advanced-level enterprise professionals who wish 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 evolve beyond rigid dashboards by embracing conversational analytics and integrated generative BI. This transformation demands thoughtful adoption strategies, systematic asset migration, and robust change management frameworks.
This instructor-led, live training (available online or onsite) targets intermediate-level BI and data platform professionals seeking to modernize their legacy BI systems using WrenAI.
Upon completion of this training, participants will be equipped to:
- Assess legacy BI environments and pinpoint modernization opportunities.
- Strategize and implement the transition from static dashboards to WrenAI.
- Implement conversational analytics and embedded GenBI functionalities.
- Spearhead organizational change management efforts for BI modernization.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs covering conversational analytics and embedded GenBI.
Customization Options
- For customized training arrangements, please reach out to us.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the generation of SQL from natural language and delivers AI-powered analytics, streamlining and simplifying data access. For enterprise deployments, robust quality assurance and observability practices are critical to guarantee accuracy, reliability, and regulatory compliance.
This instructor-led training, available online or onsite, is designed for advanced data and analytics professionals seeking to assess query accuracy, implement prompt tuning, and establish observability frameworks for monitoring 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 system performance.
- Monitor data drift and query behavior over time.
- Equip WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and group discussions.
- Hands-on exercises focused on evaluation and tuning techniques.
- Practical labs covering observability and monitoring integrations.
Course Customization Options
- To request a customized version of this course, please contact us to arrange.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface designed to translate natural language into SQL queries, facilitate the development of custom applications, and embed visualizations within internal platforms.
This instructor-led live training, available online or on-site, targets intermediate engineers looking to apply the WrenAI API in practical scenarios, such as generating SQL, creating visualizations, and integrating applications.
Upon completion of this training, participants will be equipped to:
- Authenticate applications and establish connections with the WrenAI API.
- Generate SQL queries from natural language inputs.
- Create and embed charts using the provided API endpoints.
- Integrate WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises involving API calls and integrations.
- Practical projects that link applications, charts, and data pipelines.
Customization Options
- To arrange customized training for this course, please reach out to us.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud serves as a contemporary platform designed to facilitate the connection of various data sources, the modeling of data, and the creation of interactive dashboards.
This instructor-led, live training, available both online and onsite, is tailored for data professionals ranging from beginner to intermediate levels. The course aims to equip participants with the skills necessary to set up WrenAI Cloud, model their data, and visualize key insights through dashboards.
Upon completion of this training, participants will be able to:
- Set up and configure environments within WrenAI Cloud.
- Connect WrenAI Cloud to multiple data sources.
- Model data and define relationships to support analytics.
- Create interactive dashboards to derive business insights.
Course Format
- Interactive lectures and discussions.
- Hands-on practice with cloud platform configuration and data modeling.
- Practical exercises focused on dashboard building and visualization.
Course Customization Options
- For customized training requests, please contact us to arrange.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model KPIs, integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level finance professionals who wish to use WrenAI for building compliant financial data models and dashboards that support decision-making and risk management.
By the end of this training, participants will be able to:
- Model financial KPIs and metrics in WrenAI.
- Build 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 a customized training for this course, please contact us to arrange.
WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative Business Intelligence tool designed to facilitate the conversion of natural language into SQL queries and support semantic data modeling.
This instructor-led live training, available both online and onsite, targets advanced data engineers, analytics engineers, and ML engineers who aim to build robust semantic layers, refine prompts, and ensure the reliability of SQL generation.
Upon completing this training, participants will be able to:
- Implement semantic models to ensure consistent metric definitions across various teams.
- Optimize text-to-SQL performance to enhance accuracy and scalability.
- Configure and enforce guardrails to prevent invalid or risky queries.
- Integrate WrenAI OSS effectively into data pipelines and analytics workflows.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical sessions.
- Hands-on implementation within a live lab environment.
Customization Options
- To request a customized version of this course, please contact us to make arrangements.
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 incorporate generative business intelligence (GenBI) directly within their customer-facing applications. This training program equips SaaS teams with the necessary expertise to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant environments effectively.
This instructor-led, live training (available online or onsite) targets intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers looking to implement WrenAI as an embedded analytics solution within SaaS ecosystems.
Upon completing this training, participants will be able to:
- Integrate WrenAI using the Embedded API for applications intended for end-users.
- Deploy white-label conversational BI with tailored branding and customization.
- Architect secure and scalable multi-tenant deployments.
- Monitor usage, optimize performance, and ensure compliance within SaaS environments.
Course Format
- Interactive lectures and discussions.
- Practical labs utilizing the WrenAI Embedded API.
- Workshop: Design and deploy a white-label analytics feature for a specific SaaS use case.
Customization Options
- To request a tailored training session 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 combining AI-driven spreadsheet workflows with a repository of pre-built, cross-platform business metrics.
This instructor-led live training, available either online or on-site, targets beginner to intermediate-level operations professionals seeking to accelerate their reporting and analytical processes using WrenAI Spreadsheets alongside the Metrics Library.
Upon completing this training, participants will be equipped to:
- Construct AI-enhanced spreadsheets designed for data analysis and reporting.
- Utilize the WrenAI Metrics Library to implement standardized KPIs.
- Link spreadsheets to various data sources to ensure live data updates.
- Develop automated workflows to streamline operational reporting tasks.
Course Format
- Interactive lectures and discussions.
- Practical, hands-on experience building spreadsheets with WrenAI.
- Real-world exercises focused on metrics and KPI reporting.
Customization Options
- For inquiries regarding customized training for this course, please contact us to arrange a session.