Generative AI in Healthcare: Transforming Medicine and Patient Care Training Course
Generative AI is a transformative technology that leverages machine learning models to generate new, synthetic instances of data that can be used for a variety of applications in healthcare.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals, data analysts, and policy makers who wish to understand and apply generative AI in the context of healthcare.
By the end of this training, participants will be able to:
- Explain the principles and applications of generative AI in healthcare.
- Identify opportunities for generative AI to enhance drug discovery and personalized medicine.
- Utilize generative AI techniques for medical imaging and diagnostics.
- Assess the ethical implications of AI in medical settings.
- Develop strategies for integrating AI technologies into healthcare systems.
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.
Course Outline
Introduction to Generative AI
- Understanding AI and machine learning fundamentals
- Deep dive into generative models
- The landscape of generative AI in healthcare
Generative AI in Drug Discovery
- Accelerating drug design with AI
- Case studies: Success stories and challenges
- Virtual screening and predictive models
Personalized Medicine through Generative AI
- Tailoring treatments with AI
- Genomics and AI: A new era of personalization
- Ethical considerations in AI-powered personalized medicine
Advancements in Medical Imaging
- Enhancing diagnostics with generative AI
- 3D medical imaging and AI reconstruction techniques
- Improving patient outcomes with AI-assisted imaging
Real-World Applications and Future Directions
- Integrating generative AI into clinical practice
- The future of AI in patient care and management
- Final project: Proposing an AI solution for a healthcare challenge
Ethical and Societal Implications
- Navigating the ethical landscape of AI in healthcare
- Data privacy, security, and governance
- Preparing for the future: Policy and regulation
Summary and Next Steps
Requirements
- Basic understanding of machine learning concepts
- Familiarity with Python programming
- Introductory knowledge of biology and healthcare systems
Audience
- Healthcare professionals
- Data analysts
- Policy makers
Need help picking the right course?
Generative AI in Healthcare: Transforming Medicine and Patient Care Training Course - Enquiry
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
Adam - GE Aerospace Poland Sp. z o.o.
Course - Prompt Engineering for ChatGPT
Related Courses
Advanced AI Concepts with Perplexity
14 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at advanced-level AI enthusiasts and developers who wish to leverage Perplexity AI for complex problem-solving and research.
By the end of this training, participants will be able to:
- Implement advanced AI techniques using Perplexity AI.
- Analyze complex datasets and extract valuable insights.
- Apply AI concepts to real-world problem-solving.
- Integrate Perplexity AI with existing AI workflows.
Advanced Fine-Tuning & Prompt Management in Vertex AI
14 HoursVertex AI provides advanced tools for fine-tuning large models and managing prompts, enabling developers and data teams to optimize model accuracy, streamline iteration workflows, and ensure evaluation rigor with built-in libraries and services.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level practitioners who wish to improve performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services in Vertex AI.
By the end of this training, participants will be able to:
- Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
- Implement prompt management workflows including versioning and testing.
- Leverage evaluation libraries to benchmark and optimize AI performance.
- Deploy and monitor improved models in production environments.
Format of the Course
- Interactive lecture and discussion.
- Hands-on labs with Vertex AI fine-tuning and prompt tools.
- Case studies of enterprise model optimization.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Advanced Prompt Engineering for DeepSeek LLM
14 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at advanced-level AI engineers, developers, and data analysts who wish to master prompt engineering strategies to maximize the effectiveness of DeepSeek LLM in real-world applications.
By the end of this training, participants will be able to:
- Craft advanced prompts to optimize AI responses.
- Control and refine AI-generated text for accuracy and consistency.
- Leverage prompt chaining and context management techniques.
- Mitigate biases and enhance ethical AI usage in prompt engineering.
Generative AI and Prompt Engineering for Corporate Professionals
8 HoursGenerative AI is a technology that produces new content such as text, reports, and recommendations based on structured prompts.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level corporate professionals who wish to use generative AI and prompt engineering to enhance productivity, communication, and decision-making in their work environment.
By the end of this training, participants will be able to:
- Understand the core concepts of generative AI and prompt engineering.
- Create effective prompts for a variety of business contexts.
- Integrate AI tools into administrative, analytical, and specialized workflows.
- Apply best practices for ethical and responsible AI use in corporate settings.
Format of the Course
- Interactive lecture and discussion.
- Practical exercises and case studies.
- Hands-on experimentation with AI tools.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Generative AI and Prompt Engineering in Healthcare
8 HoursGenerative AI is a technology that creates new content such as text, images, and recommendations based on prompts and data.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals who wish to use generative AI and prompt engineering to improve efficiency, accuracy, and communication in medical contexts.
By the end of this training, participants will be able to:
- Understand the fundamentals of generative AI and prompt engineering.
- Apply AI tools to streamline clinical, administrative, and research tasks.
- Ensure ethical, safe, and compliant use of AI in healthcare.
- Optimize prompts to achieve consistent and accurate results.
Format of the Course
- Interactive lecture and discussion.
- Practical exercises and case studies.
- Hands-on experimentation with AI tools.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Introduction to Prompt Engineering
7 HoursPrompt Engineering is the practice of designing and refining prompts to get desired outputs from large language models.
This instructor-led, live training (online or onsite) is aimed at beginner-level participants who wish to learn foundational prompt design techniques and apply them to common tasks.
By the end of this training, participants will be able to:
- Explain why prompt engineering matters and where it adds value.
- Design clear, effective prompts for a variety of simple tasks.
- Apply basic prompt patterns and templates to improve outputs.
- Evaluate and iterate prompts to reduce errors and unwanted responses.
Format of the Course
- Short interactive lecture and live examples.
- Hands-on, instructor-guided prompt exercises.
- Group discussion and quick feedback loops.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
InVideo AI: Creating Engaging Short-Form Videos
14 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level digital marketers, influencers, and brand strategists who wish to maximize audience engagement through AI-powered video content.
By the end of this training, participants will be able to:
- Understand the capabilities and features of InVideo AI.
- Create compelling video content tailored to their target audience.
- Implement strategies to increase viewer interaction and retention.
- Analyze performance metrics to refine video marketing strategies.
InVideo AI for Social Media
7 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level social media managers, content creators, and marketing professionals who wish to harness the power of InVideo AI for producing compelling video content for social media platforms.
By the end of this training, participants will be able to:
- Utilize InVideo AI to transform text into engaging video content.
- Navigate and make the most of InVideo's AI-driven video creation platform.
- Enhance social media strategies with AI-generated video content.
- Analyze and optimize video engagement using AI insights.
InVideo AI for Video Production
14 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at advanced-level video producers, editors, and AI enthusiasts who wish to use AI technologies to enhance their video production workflows.
By the end of this training, participants will be able to:
- Utilize InVideo’s AI tools to streamline video editing processes.
- Implement AI-driven techniques for automated video content creation.
- Create professional-quality videos using AI-based templates.
- Optimize AI-powered workflows for increased productivity in video production.
Prompt Engineering for ChatGPT
14 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level to advanced-level developers and researchers who wish to craft effective prompts to elicit desired responses from ChatGPT.
By the end of this training, participants will be able to:
- Understand the principles of prompt engineering for AI models like ChatGPT.
- Design prompts that effectively guide AI to produce desired outcomes.
- Apply ethical considerations in crafting prompts.
- Anticipate and adapt to the evolving landscape of AI interactions.
Prompt Engineering for Customer Support and Chatbots
14 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level customer support professionals, chatbot developers, and automation engineers who wish to optimize AI-driven customer interactions through prompt engineering.
By the end of this training, participants will be able to:
- Understand the role of prompt engineering in AI-powered customer interactions.
- Optimize chatbot prompts to enhance user engagement and satisfaction.
- Use AI models effectively to handle customer queries and automate responses.
- Design prompts for complex workflows, escalations, and issue resolution.
- Ensure ethical AI interactions and reduce bias in automated customer service.
Prompt Engineering for Finance
14 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level finance professionals and fintech developers who wish to use AI-powered prompt engineering techniques to enhance financial analysis, risk management, and decision-making.
By the end of this training, participants will be able to:
- Understand the fundamentals of prompt engineering in financial applications.
- Leverage AI models for financial forecasting and market sentiment analysis.
- Automate financial reporting and data extraction using AI prompts.
- Develop AI-driven risk assessment models through optimized prompts.
- Ensure compliance and ethical considerations when using AI in finance.
Perplexity AI for Beginners
7 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level IT professionals who wish to understand the basics of AI and learn how to use Perplexity AI effectively.
By the end of this training, participants will be able to:
- Explain the fundamental concepts of artificial intelligence.
- Navigate and utilize the Perplexity AI platform for information discovery.
- Apply Perplexity AI in various real-world scenarios.
- Understand the ethical considerations and societal impacts of AI technologies.
Perplexity AI for Educators
7 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level educators who wish to integrate Perplexity AI into their teaching methodologies to enhance the educational experience.
By the end of this training, participants will be able to:
- Understand the capabilities of Perplexity AI in an educational context.
- Implement Perplexity AI to create interactive and engaging lesson plans.
- Utilize Perplexity AI for student assessments and feedback.
- Explore the potential of AI in personalized learning.
Perplexity AI for Research and Writing
7 HoursThis instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level research and writing professionals who wish to utilize Perplexity AI to streamline their research and writing efforts, ensuring efficiency and accuracy.
By the end of this training, participants will be able to:
- Understand how Perplexity AI can assist in various stages of research.
- Utilize Perplexity AI for gathering and organizing information.
- Enhance their writing process with AI-driven insights and suggestions.
- Apply Perplexity AI in academic and professional writing projects.