Premium Professional Program

Master Data Science & Artificial Intelligence

harness the power of machine learning, neural networks, and big data. Master Python programming, data analytics, statistics, predictive modeling, and deep learning architectures.

Duration

6 Months

Scheduling

Part-time / Flexible

Tuition Investment

120,000 PKR

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Course Description

Data Science and AI are rewriting the rules of business. This program takes you on a comprehensive journey from statistical theory to state-of-the-art neural network creation. You will gain hands-on experience handling massive datasets, building predictive analytics engines, and designing machine learning models that extract high-value insights.

What You Will Learn

Writing clean Python programming code for data processing libraries
Executing statistical tests, regression models, and data analyses
Building and training supervised and unsupervised Machine Learning models
Designing Deep Learning models with TensorFlow and Keras libraries
Deploying interactive data visualization dashboards (Tableau / PowerBI)

Course Curriculum & Syllabus

Click on each module below to view the detailed topics and learning objectives covered in this comprehensive program.

Core Concepts Covered:

Python variables, data structures, and conditional logic
Numerical Python (NumPy) and Pandas dataframes manipulation
Exploratory Data Analysis: matplotlib and seaborn charts
Calculus, linear algebra, and probability theory essentials

Core Concepts Covered:

Supervised models: Linear & Logistic Regression, Decision Trees
Unsupervised models: K-Means Clustering and PCA reductions
Model evaluations: Confusion matrix, ROC curves, F1-scores
Feature engineering, data balancing, and hyperparameter tuning

Core Concepts Covered:

Perceptrons and feed-forward neural networks
Deep training: Loss functions, Backpropagation, and Optimizers
Convolutional Neural Networks (CNNs) for image detection
Recurrent Neural Networks (RNNs) for natural language pipelines

Core Concepts Covered:

Querying massive datasets with SQL and Spark engines
Building interactive analytics dashboards in PowerBI
Deploying Machine Learning models as REST APIs using FastAPI
Cloud computing integrations with AWS SageMaker pipelines

Who Should Enroll?

Analysts wanting to automate and upgrade their statistical calculations
Developers looking to pivot into AI engineering and data science roles
Graduates seeking high-income data jobs in international agencies
Next Enrollment Open

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Reserve your seat today. Live batches fill up rapidly.

Standard Duration6 Months
Weekly Classes2 to 3 Sessions
Time Scheduling2:00 PM - 5:00 PM
Course Investment120,000 PKR
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Government Recognized Certification included.
Free 1-on-1 mentorship sessions.