AI Orchestration: From local models to cloud
Completed by HASSAAN SHARIQ MIRZA
June 13, 2026
4 hours (approximately)
HASSAAN SHARIQ MIRZA's account is verified. Coursera certifies their successful completion of AI Orchestration: From local models to cloud
What you will learn
Build a prompt engineering pyramid from basic prompts to chain-of-thought reasoning in Rust, and evaluate decision factors for local vs cloud
Set up local AI infrastructure with Ollama, llamafile, aprender and Rust Candle GPU compilation, plus caching and RAG optimization strategies
Configure a production AI workstation with tmux, nvidia-smi, and Zenith, and integrate cloud workflows with AWS Spot, Hugging Face, and GitHub AI
Skills you will gain
- Category: AWS SageMaker
- Category: Retrieval-Augmented Generation
- Category: Large Language Modeling
- Category: Model Optimization
- Category: System Monitoring
- Category: LLM Application
- Category: Computer Graphics
- Category: Analysis
- Category: AI Orchestration
- Category: AI Workflows
- Category: Model Deployment
- Category: Prompt Engineering
