Build Production LLM Apps
This advanced course shows you how to build production-grade LLM applications using cutting-edge tools like OpenAI structured outputs, Gemini 2.0 multimodal APIs, and real-time streaming interfaces. You'll explore use cases including web scraping, dynamic UI generation, external doc readers using CAG, and even deploying local models on mobile (iOS/Android). Build AI agents like the O1 Data Scientist, SAM2 face pixelation AI, and create real-time, multimodal commerce apps with Streamlit, Florence, and MLX. Perfect for developers ready to ship real-world LLM apps at scale.
Course Outline
Section 1: OpenAI Structured Output
Master OpenAI structured outputs for reliable data extraction and processing. Learn web scraping, dynamic UI generation, and external document processing.
Section 2: CAG vs RAG
Compare CAG and RAG approaches for document processing. Build external doc readers using CAG methodology.
Section 3: Gemini 2.0 Multimodal eCommerce App
Build a complete multimodal eCommerce application using Gemini 2.0 API with video, image, and text processing.
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Section 4: Build O1 Data Scientist
Create an AI data scientist agent that can analyze data and provide insights autonomously.
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Section 5: Real-time API
Implement real-time streaming APIs for live data processing and user interactions.
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Section 6: Build SAM2 AI
Build AI applications using SAM2 for advanced computer vision tasks including face pixelation, video processing, and image manipulation.
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Section 7: Run Local Model on Mobile
Deploy and run local LLM models on mobile devices (iOS/Android) using MLX and optimized inference techniques.
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