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Artificial Intelligence Intermediate Exploring Ai Types
Published 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.01 GB | Duration: 2h 52m 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 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.