Artificial Intelligence Intermediate: Exploring Ai Types






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.








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