AI Medical Chatbot: Enhancing Patient Communication

Course Info

Date: Jan-06-2025

Length: 1 Week

City: London

Fees: 4,350

Type: In Classroom

Available Dates

  • Jan-06-2025

    London

  • Mar-03-2025

    London

  • May-05-2025

    London

  • July-07-2025

    London

  • Sep-01-2025

    London

  • Nov-03-2025

    London

Dates in Other Venues

  • Dec-30-2024

    Dubai

  • Dec-30-2024

    Kuala Lumpur

  • Dec-30-2024

    Istanbul

  • Jan-06-2025

    Amsterdam

  • Jan-06-2025

    Barcelona

  • Jan-06-2025

    Paris

  • Jan-06-2025

    Istanbul

  • Jan-06-2025

    Kuala Lumpur

  • Jan-06-2025

    Singapore

  • Feb-03-2025

    Dubai

  • Apr-07-2025

    Dubai

  • Apr-07-2025

    Paris

  • Apr-07-2025

    Kuala Lumpur

  • Apr-07-2025

    Istanbul

  • Apr-07-2025

    Singapore

  • Apr-07-2025

    Barcelona

  • Apr-07-2025

    Amsterdam

  • June-02-2025

    Dubai

  • July-07-2025

    Paris

  • July-07-2025

    Barcelona

  • July-07-2025

    Amsterdam

  • July-07-2025

    Istanbul

  • July-07-2025

    Kuala Lumpur

  • July-07-2025

    Singapore

  • Aug-04-2025

    Dubai

  • Oct-06-2025

    Dubai

  • Oct-06-2025

    Barcelona

  • Oct-06-2025

    Amsterdam

  • Oct-06-2025

    Paris

  • Oct-06-2025

    Singapore

  • Oct-06-2025

    Kuala Lumpur

  • Oct-06-2025

    Istanbul

  • Dec-01-2025

    Dubai

Course Details

Course Outline

5 days course

Introduction to AI Chatbots in Healthcare Industry


  • Overview of AI Chatbots: the role and growing importance of chatbots in the Healthcare industry.
  • Key Tools & Technologies: Introduction to Key Tools & Technologies
  • Infrastructure Requirements: the technical setup needed for developing AI chatbots.
  • Ethical and Regulatory Considerations: Understanding compliance with Healthcare regulations and ethical AI usage.
  • Case Studies: Review of successful implementations of AI chatbots in Healthcare.


Python & ML Basics


  • Introduction to Python for Healthcare: Basics of Python programming focused on Healthcare applications.
  • Exploratory Data Analysis (EDA): Techniques using Python to visualize and analyze Healthcare datasets.
  • Python Libraries for Healthcare Analysis: Introduction to libraries like Pandas, NumPy, and Matplotlib.
  • Machine Learning: Understanding Basic ML concepts
  • Discussion: Best practices for data handling and analysis in Healthcare.


Designing Basic Chatbot


  • Components of AI Chatbots: the fundamentals of chatbots
  • Building Blocks of Healthcare Chatbots: the architecture of AI chatbots, including NLP, dialogue management, and user interaction.
  • Retrieval-Augmented Generation (RAG): how RAG works to enhance chatbot responses with contextual accuracy.
  • Workshop: Setting up the basic framework for a Healthcare chatbot using sample dialogue flows and basic scripting.


Advanced Chatbot Development with LangChain


  • Introduction to LangChain: Understanding Langchain framework to work with LLM's.
  • LLMs Fine-Tuning: Exploring different open-source LLMs like LAMA3, Falcon, and Mistral for finetuning.
  • Advanced Features in Chatbot Design: Adding capabilities such as sentiment analysis, personalized Healthcare advice, and secure transactions.
  • Hands-On Lab: Integrating LangChain into their chatbot projects to improve conversational abilities and handle complex queries.
  • Discussion: Tackling challenges such as understanding user intent and maintaining conversational context.


Deploying & Managing Financial AI Chatbots


  • Testing and Validation: Best practices for testing and validating chatbot functionalities
  • Deployment Strategies: Approaches for deploying chatbots in Healthcare environments, including scalability and security considerations.
  • Ethical and Compliance Considerations: Ensuring that chatbots adhere to ethical AI principles and comply with Healthcare regulations.
  • Final Project Presentation: Participants present their chatbot projects, sharing insights and outcomes.