Building Artificial Intelligence Models Workshop

Description

This course presents an enterprise approach to understand, evaluate and apply MLOps and artificial intelligence (AI) solutions to a business problem. The course first focuses on forming the AI components—notably computer vision and natural language processing—and their applications. We then build a practical architecture that can be deployed for public consumption using Docker containers. This course also helps you decide when to select pre-built models or custom models, or to design your own model.

Target

This course is ideal for software engineers, IT professionals, data engineers, database professionals, developers and testers, solution architects, AI and automation enthusiasts, statisticians and other professionals looking to build MLOps and AI capabilities.

Contents

At the end of this training, you will be able to: • Understand the fundamentals of AI and key concepts • Develop and implement AI algorithms and models • Build and deploy AI models for consumption • Build reusable containers for AI deployments • Understanding the ethical challenges of AI

Prerequisites

Basic understanding of any programming or scripting language

Study Materials