AI caregiver essentials tools and skills

By the end of this lesson, the learner will be able to: Getting to know the Python language Understand what Python is and its most important uses. Distinguishing Python from other programming languages. Preparing the work environment Install and run a Python development environment (such as Python IDLE or VS Code). Running your first Python program. Dealing with variables and data types Defining and dealing with variables. Understanding different types of data Use input and output operations (input() and print()). Perform arithmetic and logical operations. Understanding the basic structures of programming Using if-else statements. Applying loops (for, while). Working with functions in Python Following naming and commenting conventions in Python.

• Explain “Artificial Intelligence” and how to identify systems using Artificial Intelligence. • Explain “artificial intelligence” and how to identify systems that use artificial intelligence. • Differentiate among the major types and methodologies used in Artificial Intelligence. • Distinguish between the main types and methodologies used in artificial intelligence. • Characterize the goals of AI and the approaches and progress used in achieving these objectives. • Describe the goals of artificial intelligence and the methods and advances used to achieve these goals. • Explain the role of Artificial Intelligence Agents and how they relate to the environment. • Explain the role of AI agents and how they relate to the environment. • Understand how Artificial Intelligence is implemented in the real world. • Understand how AI is applied in the real world. • Understand how Machine Learning (ML) is implemented in the real world. • Understand how to apply machine learning (ML) in the real world. • Understand the fundamentals of “deep learning” and how it works. • Understand the basics of “deep learning” and how it works. • Understand the role of Artificial Intelligence to analyze “Big data.” • Understand the role of artificial intelligence in analyzing “big data.” • Explain the basics of Artificial Intelligence Platforms and how they are used. • Explain the basics of artificial intelligence platforms and how to use them. Main Keywords Trainees should understand: • Key words that trainees should understand: 1. ML Machine Learning 2. DL Deep learning 3. RL Reinforcement Learning 4. Robotics 5. NLP Natural Language Processing (NLP) 6. IOT Internet of things 7. VR Virtual Reality 8. Computational thinking 9. Big data 10. Chatbot 11. Gen AI Generative AI 12. Generative Design 13. Neural Networks 14. Predictive Analytics