Agentic AI in Healthcare Training Course
Agentic AI represents a methodology where artificial intelligence systems engage in planning, reasoning, and executing tool-based actions to achieve specific objectives within set boundaries.
This instructor-led training session, available either online or at your premises, is tailored for intermediate-level healthcare and data professionals seeking to design, assess, and oversee agentic AI solutions for clinical and operational scenarios.
Upon completing this training, participants will be capable of:
- Articulating the core concepts and limitations of agentic AI within healthcare environments.
- Constructing secure agent workflows that incorporate planning, memory retention, and tool utilization.
- Developing retrieval-augmented agents capable of processing clinical documents and knowledge bases.
- Assessing, monitoring, and governing agent behavior through the implementation of safety guardrails and human-in-the-loop controls.
Training Format
- Engaging lectures coupled with guided discussions.
- Hands-on labs and code walkthroughs conducted in a sandbox environment.
- Scenario-based exercises focusing on safety protocols, evaluation techniques, and governance frameworks.
Customization Options
- For tailored training requests, please reach out to us to discuss arrangements.
Course Outline
Foundations of Agentic AI for Healthcare
- Distinguishing agentic systems from tool-only LLM applications
- Defining autonomy boundaries, policies, and mechanisms for human oversight
- Navigating the healthcare data landscape and its constraints (EHR, FHIR, PHI)
Designing Agent Workflows
- Implementing planning, memory, tool use, and reflection loops
- Utilizing prompt engineering, functions/tools, and action selection strategies
- Applying state management and orchestration patterns
Retrieval-Augmented Agents
- Ingesting and chunking medical documents
- Working with embeddings, vector stores, and evaluating relevance
- Strategies for grounding responses and providing citations
Healthcare Integrations and Interoperability
- Fundamentals of FHIR/SMART for agent connectivity
- Managing structured and unstructured clinical data
- Utilizing eventing, APIs, and maintaining audit trails
Safety, Risk, and Governance
- Implementing guardrails, red-teaming, and fail-safe designs
- Handling PHI, de-identification techniques, and access controls
- Establishing human-in-the-loop review processes and escalation paths
Evaluation and Monitoring
- Conducting offline evaluations, utilizing golden sets, and defining KPIs
- Detecting hallucinations and verifying factuality
- Ensuring observability, logging, and managing costs/latency
Deployment Patterns and Hands-on Lab
- Comparing API-based versus on-premises model options
- 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)
Target Audience
- Healthcare data scientists and machine learning engineers
- Clinical informatics and digital health product development teams
- IT leadership and innovation managers within the healthcare sector
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 Norway (online or onsite) is designed for intermediate to advanced healthcare professionals and AI developers seeking to implement AI-driven healthcare solutions.
Upon completion of this training, participants will be equipped to:
- Grasp the significance of AI agents within healthcare and diagnostic contexts.
- Create AI models tailored for medical image analysis and predictive diagnostics.
- Seamlessly integrate AI tools with electronic health records (EHR) and clinical workflows.
- Guarantee adherence to healthcare regulations and ethical AI standards.
AI and AR/VR in Healthcare
14 HoursThis instructor-led, real-time training in Norway (online or in-person) is designed for intermediate-level healthcare professionals who wish to implement AI and AR/VR solutions for medical education, surgical simulations, and rehabilitation.
By the conclusion of this training, participants will be able to:
- Understand how AI enhances 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.
AI for Healthcare using Google Colab
14 HoursThis instructor-led, live training in Norway (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 Norway (online or onsite) is designed for 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 Norway (online or onsite) targets healthcare professionals and researchers eager to harness ChatGPT to improve patient care, optimize workflows, and enhance healthcare outcomes.
Upon completion of this training, participants will be able to:
- Grasp the fundamentals of ChatGPT and its specific applications in healthcare.
- Deploy ChatGPT to automate healthcare processes and patient interactions.
- Deliver precise medical information and support to patients via ChatGPT.
- Apply ChatGPT for medical research and analytical tasks.
Governance and Security Patterns for WrenAI in the Enterprise
14 HoursWrenAI is an AI-driven analytics platform built to link data sources, model insights, and generate dashboards. In enterprise settings, strong governance and security measures are essential to guarantee safe and compliant adoption.
This instructor-led, live training session (available online or onsite) 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 away from static dashboards towards conversational analytics and embedded generative BI. Achieving this transformation demands meticulous adoption planning, the migration of existing assets, and robust change management strategies.
This instructor-led, live training session, available either online or on-site, 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 capable of:
- Evaluating legacy BI environments to identify opportunities for modernization.
- Planning and executing the migration from static dashboards to WrenAI.
- Implementing conversational analytics and embedded GenBI functionalities.
- Leading 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 contact us directly.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL queries and provides AI-driven analytics, streamlining data access and enhancing intuitiveness. For enterprise-level deployments, maintaining high standards of quality assurance and observability is critical to guarantee accuracy, reliability, and regulatory compliance.
This instructor-led live training, available either online or on-site, is designed for senior data and analytics specialists looking to assess query precision, implement prompt optimization strategies, and deploy observability measures to oversee WrenAI in live production environments.
Upon completion of this training, participants will be equipped to:
- Assess the precision and dependability of natural language to SQL translations.
- Utilize prompt tuning methods to enhance system performance.
- Track data drift and analyze query patterns over time.
- Integrate WrenAI with logging and observability infrastructures.
Course Structure
- Engaging lectures and group discussions.
- Practical exercises focused on evaluation and tuning methodologies.
- Hands-on labs covering observability and monitoring integrations.
Customization Options
- For tailored training solutions, please reach out to us to discuss your specific needs.
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, developing custom applications, and embedding charts within internal platforms.
This instructor-led live training, available both online and 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 completion of this training, participants will be equipped to:
- Authenticate and link applications to the WrenAI API.
- Derive SQL queries from natural language inputs.
- Generate and embed charts utilizing API endpoints.
- Integrate WrenAI into backend systems and internal tools.
Course Format
- Interactive lectures and discussions.
- Practical exercises involving API calls and integrations.
- Hands-on projects connecting applications, charts, and data pipelines.
Customization Options for the Course
- To request tailored training for this course, please contact us to arrange.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud serves as a contemporary platform for linking data sources, modeling information, and constructing interactive dashboards.
This instructor-led, live training (available online or on-site) is designed for beginner to intermediate data professionals aiming to master the setup of WrenAI Cloud, model their data, and visualize insights through dashboards.
Upon completion of this training, participants will be capable of:
- Setting up and configuring WrenAI Cloud environments.
- Establishing connections between WrenAI Cloud and various data sources.
- Modeling data and defining relationships for analytics.
- Creating interactive dashboards to derive business insights.
Format of the Course
- 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 Key Performance Indicators (KPIs), integrate standardized metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (available online or onsite) targets intermediate to advanced finance professionals seeking to leverage WrenAI for building 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 in WrenAI.
- Construct dashboards that meet 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.
WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative BI tool that enables natural language to SQL conversion and semantic data modeling.
This instructor-led, live training (online or onsite) is aimed at advanced-level data engineers, analytics engineers, and ML engineers who wish to build robust semantic layers, tune prompts, and ensure reliable SQL generation.
By the end of this training, participants will be able to:
- Implement semantic models for consistent metric definitions across teams.
- Optimize text-to-SQL performance for accuracy and scalability.
- Configure and enforce guardrails to avoid invalid or risky queries.
- Integrate WrenAI OSS into data pipelines and analytics workflows.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in 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 into 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.
Delivered as instructor-led live training (available online or onsite), this program targets intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within SaaS environments.
Upon completion of this training, participants will be able to:
- Integrate WrenAI using the Embedded API for customer-facing applications.
- Implement white-label conversational BI with branding and customization.
- Design secure and scalable multi-tenant deployments.
- Monitor usage, optimize performance, and ensure compliance in SaaS environments.
Course Format
- Interactive lecture and discussion.
- Hands-on labs using WrenAI Embedded API.
- Workshop: design and deploy a white-label analytics feature for a SaaS use case.
Customization Options
- To request 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 alongside a repository of pre-built, cross-platform business metrics.
This instructor-led live training, available both online and onsite, is designed for beginner to intermediate operations professionals looking to speed up their reporting and analysis processes through WrenAI Spreadsheets and the Metrics Library.
Upon completion of this training, participants will be equipped to:
- Develop AI-enhanced spreadsheets for data analysis and reporting purposes.
- Utilize the WrenAI Metrics Library to establish standardized Key Performance Indicators (KPIs).
- Link spreadsheets to various data sources to ensure real-time updates.
- Develop automated workflows that streamline operational reporting.
Course Format
- Interactive lectures and discussions.
- Practical exercises in building spreadsheets using WrenAI.
- Hands-on practice with metrics and KPI reporting.
Customization Options
- To arrange a customized training session for this course, please reach out to us.