Artificial Intelligence Intermediate: Exploring Ai Types

Explore the diverse applications of Artificial Intelligence, from process automation to Generative AI.

What you'll learn

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.

Requirements

A basic understanding of artificial intelligence is beneficial as this is an intermediate course.

Description

Welcome to "Artificial Intelligence Intermediate: Exploring AI Types, Patterns, and Implementations." In this course, you will delve into the fascinating world of Artificial Intelligence (AI), understanding its fundamental concepts, diverse applications, and real-world implications.Through comprehensive modules, you will explore the essence of AI, its role in process automation, cognitive insight, engagement, conversational AI, and digital twins. As we explore the 7 Patterns of AI, you'll gain insights into machine learning frameworks and unravel a captivating AI marketing case study.The course seamlessly transitions to the world of Generative AI, its definition, and its applications. You will explore the intricacies of generating text, coding, and chatbots and dive into 3-D systems and animation. Furthermore, the course will guide you through implementing Generative AI in autonomous agents, providing a holistic understanding of its capabilities.The course includes exercises, allowing you to apply your acquired knowledge and enhance your learning experience. By the end of the course, you should have a profound understanding of AI types, patterns, and implementations and equipped with practical skills ready for real-world applications. Join us in this AI journey to unlock the potential of technology and expand your horizons.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.This course includes:2+ hours of video tutorials21 individual video lecturesCertificate of completion

Overview

Section 1: Artificial Intelligence

Lecture 1 Introduction

Lecture 2 READ ME: Essential Information for a Successful Training Experience

Lecture 3 What is AI? (Part 1)

Lecture 4 What is AI? (Part 2)

Lecture 5 Process Automation

Lecture 6 Cognitive Insight and Engagement, Conversational AI, and Digital Twins

Lecture 7 The 7 Patterns of AI

Lecture 8 Machine Learning Frameworks - Part 1

Lecture 9 Machine Learning Frameworks - Part 2

Lecture 10 AI Marketing Case Study - Part 1

Lecture 11 AI Marketing Case Study - Part 12

Section 2: Generative AI

Lecture 12 Generative AI: What is It and How to Use It?

Lecture 13 Generative AI Applications

Lecture 14 Generative AI: Text - Part 1

Lecture 15 Generative AI: Text - Part 2

Lecture 16 Generative AI: Coding and Chatbots

Lecture 17 Generative AI: 3-D Systems and Animation

Lecture 18 Generative AI: Autonomous Agents

Lecture 19 Generative AI: Implementations

Section 3: Exercise and Conclusion

Lecture 20 Exercise 1

Lecture 21 Exercise 2

Lecture 22 Conclusion

Those who want to have a deeper understanding of AI types, patterns, and implementations.,Those who want to learn the applications of Generative AI.