Python for AI/ML – Complete Syllabus AI ML projects for beginners BIT UCSC UoM Colombo Moratuwa

Python for AI/ML – Complete Syllabus

1. Python Foundations (Weeks 1–2)

Before touching AI, get strong in Python basics.

1.1 Basics & Syntax

• Python installation & setup (Anaconda, venv, Jupyter)

• Comments, indentation

• Variables & naming rules

• Constants

1.2 Data Types & Type Conversion

• int, float, str, bool, list, tuple, set, dict, NoneType

• Type casting (int(), float(), str(), bool())

1.3 Operators

• Arithmetic

• Comparison

• Logical

• Assignment

• Membership (in, not in)

• Identity (is, is not)

1.4 Strings

• String indexing, slicing

• Common string methods

• f-strings & formatting

1.5 Input/Output

• input() & print()

• Formatting output

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2. Control Flow (Weeks 2–3)

2.1 Conditionals

• if, elif, else

• Nested conditions

2.2 Loops

• for loops

• while loops

• break & continue

• range()

• Loop over iterables

2.3 Comprehensions

• List comprehensions

• Tuple comprehensions

• Dict comprehensions

• Set comprehensions

💡 AI/ML relevance: Loops for batch processing, conditions for decision making in models.

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3. Functions & Modules (Week 3)

3.1 Functions

• Defining & calling functions

• Parameters & arguments

• Default arguments

• Return values

• Scope (local/global)

3.2 Modules & Packages

• Importing built-in modules (math, random, etc.)

• Installing & importing external packages (pip install)

• Creating your own modules

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4. Data Structures & File Handling (Week 4)

4.1 Lists, Tuples, Sets, Dictionaries

• Creation, access, modification

• Iteration

• Nesting

4.2 File Handling

• Reading/writing text files

• CSV files

• JSON files

• Using with context

💡 AI/ML relevance: Reading datasets, saving model results.

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5. Error Handling & Debugging (Week 5)

• try, except, finally

• Raising exceptions

• Common Python errors

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6. Python for Data Science (Weeks 6–8)

6.1 NumPy

• Arrays & indexing

• Array operations & broadcasting

• Statistical methods

6.2 Pandas

• Series & DataFrame

• Loading CSV, Excel, JSON

• Selecting, filtering, sorting

• Grouping & aggregating

• Handling missing values

6.3 Matplotlib & Seaborn

• Line, bar, scatter plots

• Histograms, boxplots

• Heatmaps

💡 AI/ML relevance: Data cleaning, preprocessing, visualization.

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7. Introduction to AI/ML Concepts (Weeks 9–10)

• What is AI, ML, Deep Learning

• Types of ML (supervised, unsupervised, reinforcement)

• Features, labels, datasets

• Training & testing

• Model evaluation metrics

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8. Machine Learning with Scikit-learn (Weeks 11–14)

• Loading datasets (load_iris, load_digits, CSV files)

• Data preprocessing

• Train/test split

• Classification algorithms

• Regression algorithms

• Clustering (KMeans)

• Model evaluation (accuracy, precision, recall, F1-score)

• Saving/loading models (joblib, pickle)

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9. Deep Learning Foundations (Weeks 15–18)

9.1 Neural Networks Basics

• Perceptron & activation functions

• Forward & backward propagation

• Loss functions

9.2 TensorFlow & Keras

• Creating neural networks

• Image classification (MNIST, CIFAR-10)

• Text classification (sentiment analysis)

• Model tuning & regularization

• Using GPUs

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10. Specialized AI/ML Topics (Weeks 19–24)

• Natural Language Processing (NLP) – NLTK, spaCy

• Computer Vision – OpenCV, image preprocessing

• Time Series Analysis – ARIMA, LSTM

• Reinforcement Learning – Basics with OpenAI Gym

• Large Language Models (LLMs) – Hugging Face Transformers

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11. AI Project Development (Weeks 25–28)

Real-world projects to combine skills:

1. House Price Prediction (Regression)

2. Spam Email Classifier (NLP)

3. Image Recognition App (Computer Vision)

4. Stock Price Prediction (Time Series)

5. Chatbot with AI (LLM Integration)

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12. Deployment & Best Practices (Weeks 29–30)

• Saving & loading models

• Creating APIs with Flask/FastAPI

• Deploying to cloud (AWS, Azure, GCP, Hugging Face Spaces)

• Version control with Git & GitHub

• Virtual environments for deployment

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13. AI Career Skills (Ongoing)

• Writing clean, documented code

• Using GitHub portfolio

• Understanding ML papers

• Participating in Kaggle competitions

• Building LinkedIn projects

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🚀 Kickstart Your AI/ML Journey with Python! 🤖💡

Ever dreamed of creating your own AI applications but didn’t know where to start?
Here’s your chance to dive into fun & practical beginner projects — perfect for learning real-world machine learning skills! 🖥✨

🔥 Beginner-Friendly AI/ML Projects You Can Build:
🎯 Classification:

• 🌸 Iris Flower Classification – Identify flower species using classic datasets.

• ✍ MNIST Digit Recognition – Classify handwritten digits with ML or neural networks.

• 📧 Spam Email Detection – Teach AI to spot unwanted emails using NLP.

• 🚢 Titanic Survival Prediction – Predict survival chances using historical data.

📊 Regression:

• 🏠 House Price Prediction – Estimate property values with regression models.

• 🍷 Wine Quality Prediction – Predict wine ratings from chemical properties.

💬 Other Cool Projects:

• 🤝 Simple Chatbot – Build your first conversational AI.

• 🎬 Recommendation System – Suggest movies or products like Netflix & Amazon.

• ❤️ Sentiment Analysis – Detect emotions in text reviews or social media posts.

🛠 Tools You’ll Learn:
Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, NLTK, spaCy, TensorFlow/Keras.

💡 Whether you’re a student, developer, or tech enthusiast, these projects will give you hands-on experience to stand out in the AI/ML world.

📞 Call / WhatsApp: 0777337279
🎓 Learn from Sri Lanka’s best AI/ML project training programs — Online & In-Person!

✨ Stop scrolling. Start building your AI future today! 🚀

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Hotel Management System with all features download source code BIT BSc UoM UCSC SLIIT Colombo Moratuwa PHP Python mySQL

 

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✅ Guest CRM – Personalized communication & loyalty programs
✅ Finance – Invoicing, payments, revenue management
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#PHARMACY #MANAGEMENT #SYSTEM (PMS)**

*Streamline your pharmacy. Boost efficiency. Improve patient care.*

### **What is a PMS?**

A **Pharmacy Management System** is a smart software solution designed to **automate and optimize** the operations of your pharmacy. From managing stock to processing prescriptions, it’s your all-in-one pharmacy assistant.

**Why it matters?** It saves time, reduces errors, and improves patient safety.

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## **Core Functions**

**Inventory Management** – Track medicines, manage reorders, avoid stockouts & overstocking.

**Prescription Management** – Process, verify, manage refills, and handle e-prescriptions with ease.

**Patient Management** – Store medical history, allergies, and medication lists for personalized care.

**POS System** – Handle sales, track revenue, and integrate with accounting tools.

**Reporting & Analytics** – Make informed decisions with real-time data insights.

**EHR Integration** – Access patient health records directly in the system.

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## **Benefits**

**Increased Efficiency** – Automation reduces manual work & speeds up service.

**Improved Patient Safety** – Accurate dosage & allergy tracking prevent medication errors.

**Enhanced Patient Care** – Better communication & personalized service.

**Reduced Costs** – Smarter inventory means less waste.

**Better Decisions** – Use reports to spot trends and grow your pharmacy.

**Regulatory Compliance** – Stay in line with healthcare standards.

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## **Popular PMS Solutions**

**EnterpriseRx** – Powerful, clinical-grade pharmacy software.

**Acnoo Pharmacy** – Web-based, with Laravel admin panel.

**PioneerRx, QS/1, McKesson** – Trusted names in pharmacy tech.

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*Call / WhatsApp*: **0777 337 279**

Full Source Code + Documentation + Setup Guidance Available!

**ඖෂධාගාර කළමනාකරණ පද්ධතිය (PMS)**

ඔබගේ ඖෂධාගාර කාර්යයන් **ස්වයංක්‍රීය කර**, කාලය බේරගන්න, දෝෂ අඩු කරන්න, සහ රෝගීන්ට වඩා හොඳ සේවාව ලබා දෙන්න.

ගබඩා කළමනාකරණය

පිටපත් කළමනාකරණය

රෝගීන්ගේ තොරතුරු කළමනාකරණය

POS පද්ධතිය

වාර්තා සහ විශ්ලේෂණය

EHR ඒකාබද්ධ කිරීම

කාර්යක්ෂමතාව වැඩි කිරීම

රෝගී ආරක්ෂාව වැඩි කිරීම

පිරිවැය අඩු කිරීම

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**மருந்தகம் மேலாண்மை அமைப்பு (PMS)**

உங்கள் மருந்தகத்தை **தானியங்கி செய்து**, நேரத்தை மிச்சப்படுத்தி, பிழைகளை குறைத்து, நோயாளி சேவையை மேம்படுத்துங்கள்.

பங்கு மேலாண்மை

மருந்து 처방 மேலாண்மை

நோயாளர் தகவல் மேலாண்மை

விற்பனை (POS) அமைப்பு

அறிக்கைகள் & பகுப்பாய்வு

EHR ஒருங்கிணைப்பு

செயல்திறன் உயர்வு

நோயாளி பாதுகாப்பு மேம்பாடு

செலவு குறைப்பு

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Upgrade Your Restaurant with a Smart Management System!**

A **Restaurant Management System (RMS)** is your all-in-one solution to run your restaurant smoothly and profitably. From **taking orders** to **tracking sales**, it’s your central hub for success.

**Key Features:**

Point-of-Sale (POS) – Fast, easy order taking & payment processing

Inventory Management – Track stock, cut waste, control costs

Employee Management – Schedule, payroll, performance tracking

CRM – Manage customer data & personalize service

Order Management – Handle online & in-house orders with ease

Reports & Analytics – Get real-time insights for smart decisions

**Benefits You’ll Love:**

Boost efficiency & reduce errors

Improve customer experience

Cut costs & increase profits

Make smarter, data-driven decisions

Whether you’re a small café or a large restaurant, the right RMS will save time, reduce stress, and grow your business.

**Contact us today** to find the perfect RMS for your restaurant!

Here’s a ready-to-use attractive Facebook post for promoting Pharmacy Inventory & Order Management services — formatted for high engagement:

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⚙ Order Automation – Auto-generate purchase orders before stock runs out.
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📜 Regulatory Compliance – Keep accurate, legal, and safe records.
📉 Inventory Control – Reduce waste & optimize stock levels.
📥 Ordering & Receiving – Smooth process from supplier to shelves.
📊 Data Management – Reports & analytics for smarter decisions.

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💡 Why It Matters:
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🚀✨ The Future of Learning is Here – Technology-Driven Education! ✨🚀

Education is no longer confined to chalkboards and textbooks – it’s now powered by technology that makes learning more engaging, accessible, and personalized than ever before! 💡📚

Here’s why tech-powered classrooms are transforming education:
✅ Enhanced Learning – Interactive simulations, games, and multimedia bring lessons to life.
✅ Personalized Learning – Adaptive platforms tailor lessons to every student’s unique pace & style.
✅ Accessibility for All – Students in remote areas or with disabilities get equal opportunities.
✅ Collaboration & Communication – Online tools foster teamwork and teacher-student connections.
✅ Real-Time Feedback – Instant assessments help teachers support students effectively.
✅ 21st-Century Skills – Critical thinking, problem-solving & digital literacy for the future workforce.

🌐 From interactive whiteboards to virtual reality, educational apps, and online libraries, technology is reshaping classrooms into vibrant hubs of creativity and innovation.

⚡ But let’s not forget: challenges like the digital divide, teacher training, and cost of infrastructure need to be addressed to ensure no learner is left behind.

💡 With the right tools and support, every student can thrive in a tech-driven world!

📍 At Presidency School Bangalore North, we’re committed to empowering students with the best of technology and education combined.

👉 What do you think? Should technology become a core part of every classroom? Share your thoughts below! 👇💬

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