Course 1

Frugal AI: Technical Foundations, Innovations, and Impact

This comprehensive course takes you on a deep dive into the world of Frugal AI. You'll understand why sustainable AI practices matter, explore the hidden costs of traditional AI systems, and learn the technical foundations that make efficient AI possible. Perfect for developers, data scientists, and tech leaders who want to build responsible AI solutions.

2.9k+ students 12 videos 13h 05m Beginner to Intermediate

Course Highlights

12 HD video lessons

Certificate of completion

Lifetime access to course materials

Real-world case studies

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Companies using Frugal AI techniques report up to 60% reduction in infrastructure costs while maintaining model performance.

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Course content

12 modules · 12 lectures

Module 1 Welcome to Frugal AI

Introduction & Motivation 4:30

Module 2 The AI Revolution and Its Hidden Costs

The Promise vs. Reality of AI 6:10

Module 3 Energy Consumption Deep Dive

Energy & Water: The Real Price 7:15

Module 4 Carbon Footprint Analysis

The Growing Carbon Footprint of AI 3:50

Module 5 Economic Implications of AI Infrastructure

Training & Inference Costs 5:30

Module 6 Efficient Architecture Design Principles

Designing for Efficiency 6:40

Module 7 Model Compression Techniques

Pruning & Compression Basics 5:55

Module 8 Quantization and Pruning Mastery

Advanced Quantization 8:25

Module 9 Knowledge Distillation Workshop

Teacher-Student Framework 4:10

Module 10 Edge Deployment Strategies

Deploying on Edge Devices 5:00

Module 11 Performance Monitoring & Optimization

Monitoring & Benchmarking 4:20

Module 12 Building Your Frugal AI Portfolio

Capstone & Next Steps 3:00

What you'll learn

Understand the motivation behind Frugal AI and its importance in today's tech landscape

Analyze the hidden costs of AI systems including energy, carbon footprint, and economic impact

Design sustainable AI architectures for production environments

Evaluate and measure the efficiency of AI systems