Agentic AI in Healthcare Training Course
Agentic AI represents 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.
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
Provisional Upcoming Courses (Require 5+ participants)
Related Courses
AI Agents for Healthcare and Diagnostics
14 HoursThis instructor-led, live training in Australia (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.
AI and AR/VR in Healthcare
14 HoursThis instructor-led, live training in Australia (online or onsite) is designed for intermediate-level healthcare professionals who wish to apply AI and AR/VR solutions for medical training, surgical 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.
AI for Healthcare using Google Colab
14 HoursThis instructor-led, live training in Australia (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 modelling 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 Australia (online or onsite) is designed for intermediate-level healthcare professionals and data scientists eager to understand and apply AI technologies within healthcare environments.
Upon completion of this training, participants will be able to:
- Identify key healthcare challenges that AI can address.
- Analyse 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 Australia (online or onsite) is designed for 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.
- 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 connect data, model insights, and generate dashboards. In enterprise settings, strong governance and security are essential to ensure safe and compliant adoption.
This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals looking to implement governance, compliance, and security patterns for WrenAI at scale.
Upon completing 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 organisations.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with governance and security configurations.
- Practical exercises simulating enterprise rollout scenarios.
Course Customisation Options
- To request a customised training for this course, please contact us to arrange.
Modernizing Legacy BI with WrenAI: Adoption, Migration, and Change Management
14 HoursWrenAI empowers organisations to move beyond static dashboards towards conversational analytics and embedded generative BI. This shift necessitates meticulous adoption planning, asset migration, and robust change management practices.
This instructor-led, live training (available online or onsite) is tailored for intermediate-level BI and data platform professionals seeking to modernise their legacy BI systems using WrenAI.
Upon completion of this training, participants will be equipped to:
- Evaluate legacy BI environments and pinpoint modernisation opportunities.
- Plan and execute migrations from static dashboards to WrenAI.
- Embrace conversational analytics and embedded GenBI capabilities.
- Lead organisational change management efforts for BI modernisation.
Format of the Course
- Interactive lectures and discussions.
- Hands-on exercises focused on migration and adoption planning.
- Practical labs covering conversational analytics and embedded GenBI.
Course Customisation Options
- To request a tailored training for this course, please contact us to arrange.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL queries and supports AI-driven analytics, streamlining data access and enhancing intuition. For enterprise deployments, robust quality assurance and observability protocols are critical to maintaining accuracy, reliability, and regulatory compliance.
This instructor-led training session, available both online and onsite, is tailored for advanced data and analytics professionals seeking to assess query precision, implement prompt tuning strategies, and deploy observability practices for monitoring WrenAI within live production environments.
Upon completion of this training, participants will be equipped to:
- Assess the precision and dependability of Natural Language to SQL outputs.
- Apply prompt tuning methodologies to enhance system performance.
- Track data drift and query patterns over time.
- Equip WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and group discussions.
- Practical exercises focused on evaluation and tuning techniques.
- Hands-on labs covering observability and monitoring integrations.
Customisation Options
- To arrange bespoke training for this course, please contact us.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API provides a robust interface for converting natural language into SQL queries, constructing bespoke applications, and embedding charts within internal platforms.
This instructor-led, live training (available online or onsite) is designed for intermediate-level engineers looking to apply the WrenAI API in practical scenarios, such as SQL generation, visualisation, and application integration.
Upon completion of 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.
- Hands-on exercises involving API calls and integrations.
- Practical projects connecting apps, charts, and data pipelines.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud offers a contemporary platform designed for linking data sources, structuring data models, and constructing interactive dashboards.
This instructor-led, live training session (available online or on-site) is tailored for data professionals at beginner to intermediate levels who want to master the setup of WrenAI Cloud, data modelling, and visualisation of insights through dashboards.
Upon completion of this training, participants will be capable of:
- Setting up and configuring WrenAI Cloud environments.
- Linking WrenAI Cloud to a variety of data sources.
- Modelling data and defining relationships for analytical purposes.
- Creating interactive dashboards to derive business insights.
Course Format
- Interactive lectures and discussions.
- Hands-on experience with cloud platform configuration and data modelling.
- Practical exercises focusing on dashboard creation and visualisation.
Course Customisation Options
- To arrange bespoke training for this course, please get in touch with us.
WrenAI for Financial Analytics: KPI Modeling and Regulatory-Aware Dashboards
14 HoursWrenAI empowers finance teams to model key performance indicators (KPIs), integrate standardised metrics, and design dashboards that align with regulatory requirements and audit standards.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced finance professionals who wish to use WrenAI to build 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 Customisation Options
- To request a customised 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 embed generative business intelligence (GenBI) directly into their customer-facing products. This course equips SaaS teams with the necessary skills to integrate Wren AI via its Embedded API, configure white-label analytics, and manage multi-tenant deployments.
This instructor-led, live training (available online or onsite) is designed for intermediate to advanced SaaS product leaders, data engineers, and full-stack developers looking to deploy WrenAI as an embedded analytics solution within SaaS environments.
By the end of this training, participants will be able to:
- Integrate WrenAI using the Embedded API for customer-facing applications.
- Implement white-label conversational BI with custom branding and styling.
- Design secure and scalable multi-tenant deployments.
- Monitor usage, optimise performance, and ensure compliance in SaaS environments.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs using the WrenAI Embedded API.
- Workshop: design and deploy a white-label analytics feature for a SaaS use case.
Course 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 via AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.
This instructor-led training session, available either online or onsite, is designed for operational professionals at beginner to intermediate levels who aim to accelerate their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.
Upon completion of this training, participants will be equipped to:
- Construct AI-powered spreadsheets for data analysis and reporting.
- Utilise the WrenAI Metrics Library to establish standardised KPIs.
- Link spreadsheets to various data sources for real-time updates.
- Develop automated workflows to streamline operational reporting.
Course Format
- Interactive lectures and discussions.
- Practical exercises in building spreadsheets with WrenAI.
- Hands-on practice with metrics and KPI reporting.
Customisation Options
- To arrange a tailored training session for this course, please contact us.