Descriptions
Explainable AI (XAI) Specialization, In an era where Artificial Intelligence (AI) is rapidly transforming high-risk domains like healthcare, finance, and criminal justice, the ability to develop AI systems that are not only accurate but also transparent and trustworthy is critical. The Explainable AI (XAI) Specialization is designed to empower AI professionals, data scientists, machine learning engineers, and product managers with the knowledge and skills needed to create AI solutions that meet the highest standards of ethical and responsible AI.
Taught by Dr. Brinnae Bent, this course series leverages her extensive experience leading projects and developing impactful algorithms for some of the largest companies in the world. Throughout this series, learners will explore key topics including Explainable AI (XAI) concepts, interpretable machine learning, and advanced explainability techniques for large language models (LLMs) and generative computer vision models through hands-on programming labs using Python and real-world case studies.
What you’ll learn
- Implement XAI approaches to enhance transparency, trust, robustness, and ethics in decision-making processes
- Build interpretable models in Python, including decision trees, regression models, and neural networks
- Apply advanced techniques like LIME, SHAP, and explore explainability for LLMs and computer vision models
Who this course is for
- AI professionals and data scientists seeking transparency in AI systems
- Machine learning engineers working in high-risk domains like healthcare and finance
- Product managers responsible for ethical AI implementation
- Professionals with basic to intermediate machine learning knowledge
Specificatoin of Explainable AI (XAI) Specialization
- Publisher : Coursera
- Teacher : Brinnae Bent, PhD
- Language : English
- Level : Intermediate
- Number of Course : 3
- Duration : 4 weeks to complete at 10 hours a week
Content of Explainable AI (XAI) Specialization
Requirements
- Ideal for professionals with a basic to intermediate understanding of machine learning concepts like supervised learning and neural networks
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Downloadly
Course 1 – Developing Explainable AI (XAI)
Course 2 – Interpretable Machine Learning
Course 3 – Explainable Machine Learning (XAI)
Rapidgator
Course 1 – Developing Explainable AI (XAI)
Course 2 – Interpretable Machine Learning
Course 3 – Explainable Machine Learning (XAI)
Password file(s): www.downloadly.ir
File size
1.6 GB
