How to use this course
Before we begin...
Lesson 1: Unveiling the Enigma: What is AI and How Does It Work?
Lesson 2: OpenAI and its significance
Lesson 3: Historical development and key milestones in AI
Lesson 4: The power of collective intelligence: Combining computers and people
Lesson 5: AI's role in scientific research: data analysis, pattern recognition, and hypothesis generation
Lesson 6: AI technologies in education: adaptive learning, personalized tutoring, and educational chatbots
Lesson 7: AI applications in Education
Lesson 8: The Birth of AI as a Field
Quiz
Lesson 9: Moore's Law - Dead or Alive?
Lesson 1: Personalised Learning
Lesson 2: Data Analysis and Insights using AI
Lesson 3: Is AI a threat?
Lesson 4: OpenAI's GPT-3.5 and plagiarism?
Lesson 5: A typical "Chat-GPT Cheat Sheet"
Lesson 1: Choosing the right AI tools
Lesson 2: Overcoming challenges in AI adoption
Lesson 3: AI for Data Analysis
Lesson 4: Challenges and Barriers to Implementing AI in the Classroom
Lesson 5: Generative AI trends in Education
Lesson 6: We are facing a new reality with AI
Lesson 7: AI Prompt Framework of Teacher - The "TEACH AI" Model for Educators Interacting with AI in Education
Lesson 8: Adaptive learning based on student performance
Quiz
Lesson 9: The Expanding Role of Artificial Intelligence in Education
Lesson 10: Personalised AI
Lesson 11: AI-Powered Adaptive Learning: Meet Jill Watson
Lesson 12: Introducing Squirrel AI
Lesson 13: Summary of AI and Why it is Important
Lesson 14: What is AI (artificial intelligence)?
Lesson 15: What is artificial general intelligence (AGI)?
Lesson 16: What distinguishes machine learning from artificial intelligence?
Lesson 16: What is machine learning?
Lesson 17: What types of neural networks are employed in deep learning?
Lesson 18: What types of neural networks are employed in deep learning?
Lesson 19: A Quick Guide for the future of Ai, and you!
