Oreilly – Orchestrating AI 2024-11

Orchestrating AI Course. This comprehensive course covers orchestrating AI from local development to cloud deployment, with a special focus on Rust, MLOps, and efficient design of AI systems. Learn practical approaches to building and deploying AI systems using modern tools and best practices.

What you will learn:

• Fundamentals of AI Coordination: Introduction to the concept of AI coordination, course overview, and basic principles of AI coordination.
• Advanced Prompt Engineering: Understanding the Prompt Engineering Pyramid, Prompt Chain of Thought with Rust, demonstrations and practical implementations.
• Architecture of Artificial Intelligence Systems: Reviewing different architectures of artificial intelligence systems and choosing the best architecture for specific projects.
• Tools and Implementation: Introducing a wide range of tools and techniques for implementing AI systems, including libraries, frameworks, and cloud platforms.
• Conclusion: A summary of the entire course and key points for success in AI coordination.

This course is suitable for people who:

• Software engineers and data scientists who want to expand their skills in the field of artificial intelligence.
• People looking to build and deploy large-scale AI systems.
• Those looking to learn the best methods and tools for AI coordination.
• Those interested in the Rust programming language and its application in artificial intelligence.

Orchestrating AI Course Specifications

• Publisher: Oreilly
• Instructor: Noah Gift
• Training level: Beginner to advanced
• Training duration: 1 hour and 45 minutes

Course headings

• Lesson 1
• “course introduction”
• “course overview”
• “ai orchestration overview”
• Lesson 2
• “prompt engineering pyramid”
• “Chain of thought prompts rust”
• “chain of thought rust prompt demo
• Lesson 3
• “Local vs. Cloud Models”
• “Explaining chain of thought rust prompt
• “caching for ai
• “optimizing local RAG”
• Lesson 4
• “ollama local demo”
• “ollama modelfile rust debugger
• “using tmux on linux”
• “using nvidia smi”
• “ollama arch”
• “using zenith gpu monitoring”
• “compiling rust candle gpu”
• “llamafile getting started gemma
• “llamafile simple”
• “rust hello world project structure
• “aws spot deploy ml
• “hugging face workflow models”
• “github ai models workflow”
• “technical training approaches”.
• “Effective ai engineering learning
• “AI orchestration local workstation
• Lesson 6
• “course conclusion”

Orchestrating AI course images

Sample course video

Download link

Download file – 270 MB

File(s) password: www.downloadly.ir

File size

270 MB