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
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