This course is an excellent AWS exam prep guide for the Solutions Architect Associate certificate including the practice exam and hands-on Cloud Labs.

Learn about popular Explainable AI algorithms such as integrated gradient, LIME, class activation maps, counterfactual explanations, etc.

Solve optimization problems using linear programming techniques in Python with the PuLP library.

Learn the key skills for managing AI-driven products from concept to deployment.

This course is about getting hands-on experience solving algorithms in Python.

Build and deploy AI-driven applications using Microsoft's Azure Cognitive Services.

Learn to manage and analyze large datasets using PySpark, one of the most popular big data processing frameworks.

Gain proficiency in computer vision using OpenCV, a popular Python library, to build image processing and object detection applications.

Explore advanced data manipulation and analysis techniques using Pandas in Python.

Learn advanced debugging techniques to diagnose and fix code errors more efficiently.

How to select the optimal hyperparameters and enhance the performance of machine learning models using numerous techniques.

Gain both theoretical understanding and hands-on experience with machine learning algorithms and techniques.