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. • شرح "الذكاء الاصطناعي" وكيفية التعرف على الأنظمة التي تستخدم الذكاء الاصطناعي. • Differentiate among the major types and methodologies used in Artificial Intelligence. • التمييز بين الأنواع الرئيسية والمنهجيات المستخدمة في الذكاء الاصطناعي. • Characterise the goals of AI and the approaches and progress used in achieving these objectives. • وصف أهداف الذكاء الاصطناعي والأساليب والتقدم المستخدم في تحقيق هذه الأهداف. • Explain the role of Artificial Intelligence Agents and how they relate to the environment. • شرح دور وكلاء الذكاء الاصطناعي وكيفية ارتباطهم بالبيئة. • Understand how Artificial Intelligence is implemented in the real world. • فهم كيفية تطبيق الذكاء الاصطناعي في العالم الحقيقي. • Understand how Machine Learning (ML) is implemented in the real world. • فهم كيفية تطبيق التعلم الآلي (ML) في العالم الحقيقي. • Understand the fundamentals of “deep learning” and how it works. • فهم أساسيات "التعلم العميق" وكيفية عمله. • Understand the role of Artificial Intelligence to analyse “Big data.” • فهم دور الذكاء الاصطناعي في تحليل "البيانات الضخمة". • Explain the basics of Artificial Intelligence Platforms and how they are used. • شرح أساسيات منصات الذكاء الاصطناعي وكيفية استخدامها. Main Keywords should Trainees understand: • الكلمات الرئيسية التي يجب أن يفهمها المتدربون: 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. Gen Design Generative Design 13. Neural Networks 14. Predictive Analytics

– AI Career Essentials Learn to leverage AI tools and specific professional skills essential for career success. -The value of interpersonal skills in the workplace. - How to use AI tools in your work. - The essential feature of entrepreneurship and how to build your own personal brand. Learn how to leverage AI tools and specific professional skills essential for career success. The value of personal (soft) skills in the workplace. How to use AI tools in your business. The essential traits of entrepreneurship and how to build your personal brand.