- Topic Model
- Biodiversity Monitoring
- Computer Vision
- Time Series
- Air Quality Monitoring
- Damage Assessment
- AI for Good project framework
- Supervised Learning
- Exploratory Data Analysis
- Natural Language Processing
- Jupyter notebooks
- Wind Power Generation Modeling
AI for Good
Completed by Pascal David Baillehache
February 12, 2024
Approximately 1 months at 5 hours a week to completePascal David Baillehache's account is verified. Coursera certifies their successful completion of DeepLearning.AI AI for Good Specialization.
Course Certificates Completed
AI and Public Health
AI and Climate Change
AI and Disaster Management
What you will learn
Master a step-by-step framework for the development of AI projects.
Explore real-world case studies related to public health, climate change, and disaster management.
Analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management.
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
AI and Public Health
DeepLearning.AI
Taught by: Robert Monarch
Completed by: Pascal David Baillehache by January 25, 2024
AI and Climate Change
DeepLearning.AI
Taught by: Robert Monarch
Completed by: Pascal David Baillehache by February 4, 2024
AI and Disaster Management
DeepLearning.AI
Taught by: Robert Monarch
Completed by: Pascal David Baillehache by February 12, 2024