Orchestrating AI
Добавлено: Ср ноя 20, 2024 14:30Orchestrating AI
MP4 | Video: AVC 1920 x 1080 | Audio: AAC 44 Khz 2ch | Duration: 01:45:49 | 385.72 MB
Genre: eLearning | Language: English
# AI Orchestration and Engineering Course ## Author: Noah Gift ## Course Overview This comprehensive course covers AI orchestration, from local development to cloud deployment, with a focus on Rust, MLOps, and efficient AI system design. Learn practical approaches to building and deploying AI systems using modern tools and best practices. ## Module 1: Course Foundations - Introduction to AI Orchestration - Course Overview - AI Orchestration Fundamentals ## Module 2: Advanced Prompt Engineering - Understanding the Prompt Engineering Pyramid - Chain of Thought Prompting with Rust - Practical Demonstrations and Implementation ## Module 3: AI System Architecture - Local vs Cloud Model Deployment - Caching Strategies for AI Systems - RAG Optimization Techniques ## Module 4: Tools and Implementation - LlamaFile and Local Model Deployment - Ollama Integration and Architecture - AWS Spot Instance Deployment - GPU Monitoring and Optimization - HuggingFace Workflow Integration - GitHub AI Model Management - Technical Training and Best Practices ## Course Conclusion - Final Overview and Next Steps - AI Engineering Best Practices
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MP4 | Video: AVC 1920 x 1080 | Audio: AAC 44 Khz 2ch | Duration: 01:45:49 | 385.72 MB
Genre: eLearning | Language: English
# AI Orchestration and Engineering Course ## Author: Noah Gift ## Course Overview This comprehensive course covers AI orchestration, from local development to cloud deployment, with a focus on Rust, MLOps, and efficient AI system design. Learn practical approaches to building and deploying AI systems using modern tools and best practices. ## Module 1: Course Foundations - Introduction to AI Orchestration - Course Overview - AI Orchestration Fundamentals ## Module 2: Advanced Prompt Engineering - Understanding the Prompt Engineering Pyramid - Chain of Thought Prompting with Rust - Practical Demonstrations and Implementation ## Module 3: AI System Architecture - Local vs Cloud Model Deployment - Caching Strategies for AI Systems - RAG Optimization Techniques ## Module 4: Tools and Implementation - LlamaFile and Local Model Deployment - Ollama Integration and Architecture - AWS Spot Instance Deployment - GPU Monitoring and Optimization - HuggingFace Workflow Integration - GitHub AI Model Management - Technical Training and Best Practices ## Course Conclusion - Final Overview and Next Steps - AI Engineering Best Practices
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