Orchestrating AI | Pragmatic AI Labs

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Orchestrating AI | Pragmatic AI Labs [Update 11/2024]
English | Size: 270 MB
Genre: eLearning

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
  • 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

Module 4: Tools and ImplementationCourse Conclusion

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