Course Overview

Welcome to "Artificial Intelligence Intermediate: Exploring AI Types, Patterns, and Implementations." In this course, you'll discover the captivating world of Artificial Intelligence (AI) and learn about its basic principles, various uses, and practical implications.

Throughout the course, you'll delve into the core of AI, exploring its role in automating processes, gaining cognitive insights, facilitating engagement, creating conversational AI, and developing digital twins. By examining the 7 Patterns of AI, you'll gain insights into machine learning frameworks and explore a compelling AI marketing case study.

The course seamlessly transitions to Generative AI, its definition, and applications, covering text generation, coding, chatbots, 3-D systems, and animation. You'll also learn to implement Generative AI in autonomous agents, gaining a comprehensive understanding of its capabilities.

The course includes exercises, allowing you to apply your acquired knowledge. By the end of the course, you should have an in-depth understanding of AI types, patterns, and implementations, ready with practical skills for real-world applications.

Learning Objectives:

After taking this course, students will be able to:

• Define key concepts of Artificial Intelligence (AI).
• Identify the 7 Patterns of AI and their applications.
• Apply machine learning frameworks for practical solutions.
• Analyze a real-world AI marketing case study.
• Explain the concept of Generative AI and its applications.
• Create generative text using AI techniques.
• Develop basic coding skills for Generative AI and chatbots.
• Evaluate implementations of Generative AI in autonomous agents.