Agentic AI in Healthcare Training Course
Agentic AI represents a methodology where artificial intelligence systems formulate plans, perform reasoning, and execute actions using various tools to achieve specific objectives within set constraints.
This instructor-led, live training session (available online or onsite) is designed for intermediate-level healthcare and data teams aiming to design, evaluate, and govern agentic AI solutions for both clinical and operational scenarios.
Upon completion of this training, participants will be capable of:
- Articulating agentic AI concepts and constraints within healthcare environments.
- Developing safe agent workflows that incorporate planning, memory, and tool utilization.
- Constructing retrieval-augmented agents that operate over clinical documents and knowledge bases.
- Evaluating, monitoring, and governing agent behaviour through the use of guardrails and human-in-the-loop controls.
Course Format
- Interactive lectures and facilitated discussions.
- Guided laboratory sessions and code walkthroughs conducted in a sandbox environment.
- Scenario-based exercises focusing on safety, evaluation, and governance.
Course Customization Options
- To arrange for customized training for this course, please contact us.
Course Outline
Foundations of Agentic AI for Healthcare
- Distinctions between agentic and 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
- A foundational understanding of Python programming.
- Practical 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 within the healthcare sector.
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Agentic AI in Healthcare Training Course - Enquiry
Related Courses
AI Agents for Healthcare and Diagnostics
14 HoursThis instructor-led, live training in Botswana (online or onsite) is designed for intermediate to advanced healthcare professionals and AI developers who want 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 Botswana (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.
AI for Healthcare using Google Colab
14 HoursThis instructor-led, live training in Botswana (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 Botswana (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 Botswana (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 analytics platform powered by artificial intelligence, designed to link data, model insights, and generate dashboards. In enterprise settings, robust governance and security are vital to ensure safe and compliant adoption.
This instructor-led, live training (available online or onsite) targets advanced-level enterprise professionals who wish 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 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 organisations to transcend static dashboards by embracing conversational analytics and embedded generative BI. Successfully navigating this shift demands strategic adoption planning, seamless asset migration, and robust change management practices.
This instructor-led live training, available both online and 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:
- Assess legacy BI environments and pinpoint opportunities for modernisation.
- Plan and implement migrations from static dashboards to WrenAI.
- Embrace conversational analytics and embedded GenBI functionalities.
- Drive organisational change management initiatives for BI modernisation.
Course Format
- Interactive lectures and discussions.
- Practical exercises focused on migration and adoption planning.
- Hands-on labs covering conversational analytics and embedded GenBI.
Customisation Options
- For bespoke training arrangements, please contact us.
Quality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL and provides AI-driven analytics, enhancing the speed and intuitiveness of data access. For enterprise applications, maintaining high standards of quality assurance and observability is crucial to guarantee accuracy, reliability, and regulatory compliance.
This instructor-led training session, available online or on-site, targets advanced data and analytics professionals seeking to assess query accuracy, utilise prompt tuning techniques, and deploy observability measures to monitor WrenAI within live production environments.
Upon completing this training, participants will be equipped to:
- Assess the precision and dependability of natural language to SQL outputs.
- Implement prompt tuning strategies to enhance system performance.
- Track data drift and analyse query behaviour over time.
- Equip WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and group discussions.
- Practical exercises focusing on evaluation and tuning techniques.
- Hands-on labs covering observability and monitoring integrations.
Customisation Options
- For tailored training solutions, please contact us to make arrangements.
Building with the WrenAI API: Applications, Charts, and NL to SQL
14 HoursThe WrenAI API serves as a robust interface for converting natural language requests into SQL queries, constructing bespoke applications, and embedding visual charts into internal platforms.
This instructor-led live training, available online or on-site, targets intermediate-level engineers looking to leverage the WrenAI API for practical implementation, encompassing SQL generation, data visualisation, and application integration.
Upon completion of this training, participants will be capable of:
- Authenticating and linking applications to the WrenAI API.
- Generating SQL queries from natural language inputs.
- Creating and embedding charts via API endpoints.
- Integrating 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.
Customisation Options
- To arrange a customised training session for this course, please contact us.
WrenAI Cloud Essentials: From Data Sources to Dashboards
14 HoursWrenAI Cloud serves as a contemporary platform designed for linking data sources, structuring data models, and constructing interactive dashboards.
This instructor-led, live training session, available either online or on-site, is tailored for data professionals at a beginner to intermediate level who wish to master the setup of WrenAI Cloud, data modelling techniques, and the visualisation of insights through dashboards.
Upon completion of this training, participants will be capable of:
- Setting up and configuring WrenAI Cloud environments.
- Connecting WrenAI Cloud to various data sources.
- Modelling data and defining relationships for analytical purposes.
- Creating interactive dashboards to derive business insights.
Course Format
- Interactive lectures and discussions.
- Practical hands-on experience with cloud platform configuration and data modelling.
- Practical exercises focused on dashboard construction and visualisation.
Customisation Options for the Course
- To request bespoke training for this course, please contact us to make arrangements.
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 adhere to regulatory requirements and audit standards.
This instructor-led live training, available either online or on-site, is designed for intermediate to advanced finance professionals who wish to leverage WrenAI to build compliant financial data models and dashboards that support informed decision-making and risk management.
By the end of this training, participants will be able to:
- Model financial KPIs and metrics using WrenAI.
- Construct dashboards that align with regulatory and audit requirements.
- Integrate WrenAI with finance data sources to enable real-time reporting.
- Apply best practices for financial analytics and risk monitoring.
Format of the Course
- Interactive lectures and discussions.
- Hands-on exercises involving financial data models.
- Practical labs focused on dashboard design and compliance reporting.
Course Customisation Options
- To request customised training for this course, please contact us to make arrangements.
WrenAI OSS Deep Dive: Semantic Modeling, Text to SQL, and Guardrails
21 HoursWrenAI is an open-source generative BI tool that facilitates the conversion of natural language into SQL and supports semantic data modeling.
This instructor-led, live training (available online or onsite) targets advanced data engineers, analytics engineers, and ML engineers who aim to construct robust semantic layers, refine prompts, and guarantee reliable SQL generation.
Upon completion of this training, participants will be able to:
- Implement semantic models to ensure consistent metric definitions across teams.
- Enhance text-to-SQL performance to improve both accuracy and scalability.
- Configure and enforce guardrails to prevent invalid or risky queries.
- Integrate WrenAI OSS into data pipelines and analytics workflows.
Format of the Course
- Interactive lecture and discussion.
- Numerous exercises and practical activities.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request customized training for 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 converts natural-language queries into dependable analytics, empowering non-technical teams to generate insights rapidly and consistently.
This instructor-led live training (available online or onsite) targets intermediate-level product managers, analysts, and data champions seeking to adopt conversational analytics and establish self-service BI capabilities using WrenAI.
Upon completing this training, participants will be able to:
- Design conversational analytics workflows that reveal reliable product insights.
- Create and maintain a standardized metrics layer for consistent reporting.
- Utilise natural-language to SQL features effectively to address product queries.
- Embed WrenAI-driven self-service dashboards and guardrails into product workflows.
Course Format
- Interactive lectures and discussions.
- Hands-on labs using WrenAI and sample datasets.
- Workshop: Build a self-service dashboard and a set of conversational queries.
Course Customization Options
- To request customized training for this course, please contact us to arrange it.
Deploying WrenAI for SaaS: Embedded GenBI in Customer-Facing Products
14 HoursWrenAI empowers SaaS providers to 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 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 capable of:
- Integrating WrenAI using the Embedded API for customer-facing applications.
- Implementing white-label conversational BI with tailored branding and customization.
- Designing secure and scalable multi-tenant deployments.
- Monitoring usage, optimizing performance, and ensuring compliance within 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 specific SaaS use case.
Customization Options
- To request a customized training session for this course, please contact us to make arrangements.
Operational Analytics with WrenAI Spreadsheets and Metrics Library
14 HoursWrenAI Spreadsheets and Metrics Library enable rapid reporting through AI-driven spreadsheet workflows and a repository of pre-built, cross-platform business metrics.
This instructor-led, live training (available online or onsite) is designed for beginner to intermediate operational professionals seeking to accelerate their reporting and analytical processes using WrenAI Spreadsheets and the Metrics Library.
Upon completion of this training, participants will be able to:
- Develop AI-enhanced spreadsheets for data analysis and reporting.
- Leverage the WrenAI Metrics Library to establish standardized KPIs.
- Link spreadsheets to various data sources to facilitate real-time updates.
- Construct automated workflows to streamline operational reporting.
Course Format
- Interactive lectures and discussions.
- Practical, hands-on spreadsheet creation using WrenAI.
- Practical exercises focused on metrics and KPI reporting.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.