Learning Objectives:

• Understand what Artificial Intelligence is, how it works, and how it shapes our world today

• Write real Python code from scratch — the same language used by AI engineers worldwide

• Collect, clean, and analyze data to draw meaningful conclusions

• Build and evaluate machine learning models using industry-standard tools

• Create neural networks and explore deep learning architecture

• Apply Natural Language Processing to build chatbots and sentiment analyzers

• Generate images, music, and content using cutting-edge generative AI tools

• Develop AI-powered web applications and automation workflows

• Deploy projects online and build a professional AI portfolio

• Think critically about AI ethics, responsible usage, and real-world impact

• Explore AI career paths and entrepreneurship opportunities in the tech industry

Tools: Python, ChatGPT, Gemini, TensorFlow, Keras, Thonny, Google Colab, Canva AI, Streamlit, VSCode, Replit, Scikit-learn, NLTK, Python, Matplotlib, Pandas, Kahoot, TensorFlow, Keras, TextBlob, Google Speech API, Google Translate API, OpenAI API, DALL·E, Canva AI, Runway ML, Suno AI, Zapier AI, Streamlit, Notion AI, Make.com, Figma, AutoGPT, Jasper AI, Framer AI, GitHub, Postman, Streamlit Cloud,