A hands-on workshop to explore how machines understand and generate human language.
📅 Live online ⏱ 2.5 hours 💻 Level: Beginner to Intermediate 🧑🏫 Basic Python recommended

✨ What is this workshop about?
This workshop introduces participants to the exciting world of Natural Language Processing (NLP)— the field that powers chatbots, translation tools, sentiment analysis, and AI writing assistants. Through guided, hands-on coding activities, participants will build and experiment with simple NLP models and explore how machines process text, understand meaning, and generate language.
Whether you’re a data enthusiast, developer, or AI beginner, this workshop will give you practical tools and insight into one of the most in-demand AI domains.

🎯 What will you do and learn?
By the end of the session, participants will:
• 📚 Understand the core concepts of NLP: tokenization, stemming, vectorization, and more
• 🔎 Explore how text is cleaned, structured, and analyzed
• 🤖 Build a sentiment analysis model using real-world data
• 🧠 See how large language models (like ChatGPT) work under the hood
• 🗨 Create a simple chatbot using rule-based or ML-based techniques

🧰 Tools & Setup
You will use:
• Python (in Google Colab – no local install needed)
• NLP libraries: NLTK, spaCy, or Hugging Face (depending on level)
• Jupyter notebooks provided
• Zoom for live instruction and screen sharing

👥 Who is this for?
Ideal for:
• Students and professionals in tech, business, or linguistics
• Developers and data enthusiasts exploring AI and machine learning
• Anyone curious about how language-based AI systems work
• No advanced coding or AI experience required — basic Python helps

🧑🏫 Facilitator Support
• ✅ Live walkthroughs and shared notebooks
• ✅ Help via chat and breakout rooms during hands-on parts
• ✅ Downloadable code and project files after the session

🎓 Takeaway & Certificate
• Build and take home your own NLP mini project
• Digital Certificate of Participation
• Free resources to deepen your NLP journey

📌 Practical Info
• Format: Live on Zoom.         • Duration: 2.5 hours.         • Language: English.              • Group size: Max 25 participants

Requirements: Google account, internet connection, and basic Python knowledge recommended