The AI Practitioner: Optimizing AI Solutions

Optimization is required for any AI model to deliver reliable outcomes in most of the use cases. AI Practitioners use their knowledge of optimization techniques to choose and apply various solutions and improve accuracy of existing models. In this course youll learn about advanced optimization techniques for AI Development including multiple optimization approaches like Gradient Descent Momentum Adam AdaGrad and RMSprop optimization. Youll examine how to determine the preferred optimization technique to use and the overall benefits of optimization in AI. Lastly youll have a chance to practice implementing optimization techniques from scratch and applying them to real AI models.