Building the Next Generation of Supercharged Web Applications Today

Overview

Discover how to harness LLMs and AI to transform static web applications into dynamic, interactive experiences that meet evolving user expectations and create new possibilities for user engagement.

Syllabus

• Introduction to AI in Web Applications
Overview of AI and LLMs in technology
The role of AI in modern web development
Case studies of AI-enhanced web applications
• Understanding Large Language Models (LLMs)
Fundamentals of LLMs
Key LLM frameworks and tools
Evaluating LLMs for specific applications
• Integrating AI into Web Applications
Setting up an AI-ready development environment
API integration and data handling
Best practices for AI integration
• Designing Interactive User Experiences with AI
AI-driven user interface (UI) design
Personalization through AI
Enhancing user communication with chatbots and conversational agents
• Harnessing AI for Real-time Data Processing
Implementing natural language processing (NLP) on the web
Using AI for dynamic content generation
AI-powered search and recommendation systems
• Ensuring Performance and Scalability
Optimizing AI workloads for web applications
Handling increased data and user load
AI performance monitoring and troubleshooting
• Security and Ethical Considerations
Privacy concerns with AI-integrated applications
Ensuring transparency and fairness
Mitigating biases in AI-driven systems
• Future Trends in AI-enhanced Web Development
Emerging technologies in AI and web applications
Predicting user demands and technology shifts
Building adaptive systems for the future
• Capstone Project
Developing a prototype of an AI-integrated web application
Presentation and peer review of projects
Reflection on project outcomes and learning experiences

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Subjects

Programming