Program Completed by

Gyoungmin Kim

July 27, 2024

AI Academy: Artificial Intelligence in Healthcare

Course Overview:

This three-day intensive course covers AI applications in healthcare, focusing on voice agent design and implementation. Students gain theoretical knowledge and practical skills in AI technologies, natural language processing, and software development.

Day 1:
Introduction & Basic Voice Agent Design
AI in Healthcare:
Applications, benefits, and ethical considerations
Voice Technologies:
Recognition, synthesis, and popular assistants
Natural Language Processing:
Entity extraction, sentiment analysis, intent recognition
Large Language Models: Architecture, applications, and prompt engineering basics
Voice Agent Design:
User interaction flow, best practices
Practical:
Creating a basic voice agent using Retell AI
Day 2:
Advanced Concepts & Flow Design
Technical Overview:
APIs, HTTP requests, backend systems
Advanced Voice Agent Design: Conversation flow, conditional logic, error handling
Prompt Engineering:
Advanced techniques for healthcare applications
Variables in AI Systems:
Implementation and management
External Tool Integration:
Using Make.com for API connections
Practical:
Designing complex conversation flows and integrating external services
Day 3:
Testing, Debugging, and Presentation
Testing Methodologies:
Strategies for AI systems and voice agents
Debugging Techniques:
Identifying and resolving common issues
Optimization:
Improving response times and accuracy
Ethical Considerations:
Bias mitigation and compliance in healthcare AI
Presentation Skills:
Effectively communicating AI projects
Final Project:
Completion and presentation of voice agent projects
Google and Bing Ads
Leverage the power of AI for unmatched precision in targeting and campaign optimization, ensuring your ads reach the right audience at the right time.
Precision Targeting with AI Efficiency
Maximized Ad Spend Efficiency:
Higher Revenues
Webflow & CRO
Combine the insights of AI analytics with the creativity of Webflow development to create websites that don’t just attract visitors but convert them into loyal customers.
Data-driven insights
Increased conversion
Impact on bottom line
SEO and Custom LLM
Utilize AI-driven strategies to elevate your website's performance on search engines, ensuring your content is unique to your brand using Custom LLM infrastructure developed from your content
Better SEO Ranking
Unique on-brand content
Increased Profit Margins

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Learning Outcomes

Upon completion, students will be able to:

- Understand AI fundamentals and healthcare applications

- Design and implement voice agents using industry tools

- Apply NLP techniques and use large language models

- Integrate AI systems with external services

- Conduct testing and debugging of AI applications

- Address ethical implications in AI systems

- Present technical AI projects effectively

This course provides a comprehensive foundation in AI technologies and their practical applications in healthcare, preparing students for advanced study or entry-level positions in AI development.

Certificate

Gyoungmin Kim

July 27, 2024

1227B3Z

Open PDF  Certificate Here