وب سایت تخصصی شرکت فرین
دسته بندی دوره ها

Sustainable AI for Developers: Strategies, Techniques, and Best Practices

سرفصل های دوره

AI has moved from curiosity to a necessity. It is no longer a side hustle of IT departments within organizations—it’s a board-level agenda. This means AI will become ubiquitous in all walks of life. When discussing aspects of responsible AI, the environmental impact of AI proliferation must be considered.

This comprehensive course explores design approaches to AI that balance environmental impact, innovation, and profitability. Instructor Fawad Qureshi delves into the concept of sustainable AI, exploring its significance and impact. Gain insights into the background and recent developments in this field, particularly with the rise of generative AI. The course provides a holistic understanding of AI's environmental footprint, emphasizing the importance of optimizing resource consumption and adopting sustainable practices. Following these best practices will not only save energy consumption but also reduce your AI expenses.


01 - Introduction
  • 01 - From rivers to AI
  • 02 - Dont throw hardware at a software problem
  • 03 - Waves of AI ethics

  • 02 - 1. Artificial Intelligence
  • 01 - What is artificial intelligence
  • 02 - Classifying the world of AI

  • 03 - 2. Managing AI Energy Demand
  • 01 - Managing AI energy demand
  • 02 - High-level approaches
  • 03 - Common design practices

  • 04 - 3. Machine Learning
  • 01 - What is machine learning
  • 02 - Types of machine learning algorithms
  • 03 - When best to use and not use machine learning
  • 04 - Best practices to optimize consumption

  • 05 - 4. Deep Learning
  • 01 - What is deep learning
  • 02 - Types of deep learning models
  • 03 - When to use and not use deep learning
  • 04 - Best practices to optimize consumption

  • 06 - 5. Computer Vision
  • 01 - What is computer vision
  • 02 - Types of computer vision algorithms
  • 03 - Best practices to optimize consumption

  • 07 - 6. Natural Language Processing
  • 01 - What is natural language processing
  • 02 - Approaches to NLP
  • 03 - Best practices to optimize consumption

  • 08 - 7. GenAI and Large Language Models (LLM)
  • 01 - GenAI vs. LLM vs. foundation model
  • 02 - When to use and not use GenAI and LLMs
  • 03 - Best practices to optimize consumption

  • 09 - 8. Geospatial Analysis
  • 01 - What is geospatial analysis
  • 02 - What is GeoAI
  • 03 - Why is geospatial analysis resource intensive
  • 04 - Best practices to optimize consumption

  • 10 - 9. Capstone Project Insurance Underwriting Case Study
  • 01 - Challenge Identify optimization opportunities
  • 02 - Solution Identify optimization opportunities

  • 11 - Conclusion
  • 01 - Measure to manage
  • 02 - Next steps
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    تاریخ انتشار: ۲۵ اردیبهشت ۱۴۰۴
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