Video description
Course OverviewThis 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
- Understanding the Prompt Engineering Pyramid
- Chain of Thought Prompting with Rust
- Practical Demonstrations and Implementation
- Local vs Cloud Model Deployment
- Caching Strategies for AI Systems
- RAG Optimization Techniques
- 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
- Final Overview and Next Steps
- AI Engineering Best Practices
Table of contents
- Lesson 1
- Lesson 2
- Lesson 3
-
Lesson 4
- "aws spot deploy ml"
- "technical training approaches"
- "huggingface workflow models"
- "github ai models workflow"
- "ollama arch"
- "llamafile simple"
- "rust hello world project structure"
- "compiling rust candle gpu"
- "llamafile getting started gemma"
- "using nvidia smi"
- "effective ai engineering learning"
- "AI orchestration local workstation"
- "using tmux on linux"
- "ollama modelfile rust debugger"
- "ollama local demo"
- "using zenith gpu monitoring"
- Lesson 6
Product information
- Title: Orchestrating AI
- Author(s):
- Release date: November 2024
- Publisher(s): Pragmatic AI Labs
- ISBN: 11192024PAIML
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