Three career tracks. One ecosystem.
Project-based training on a self-paced LMS, with deadlines that keep you moving. Every module below comes straight from the official course outline — download the full PDF for any track.
Project Based Training
Become a AI Data Analyst
Turn raw data into business decisions. Clean and structure large datasets with AI, build dashboards daily and help leaders make smarter choices faster.
Duration
3 Months
Mode
LMS — Online Self Paced
Days
Any 3 days a week
Certified by
IBM
Investment
Rs. 6,250
Full module breakdown
- 1Digital awareness & introduction to modern AI
- 2Introduction to data sciences & data analytics essentials
- 3Python & R essentials — Level 1 & 2
- 4Data preparation & visualization in Microsoft Excel
- 5Introduction to SQL
- 6Data joining & manipulation in SQL
- 7Advanced SQL: data manipulation, window functions, exploratory analysis + Generative AI tools
- 8Statistics, data-driven decision-making and effective data visualization
- 9Power Query Editor for transforming and shaping data for Power BI
- 10Unpivoting, transposing, appending & joining tables, custom columns and M language in Power BI
- 11AWS Cloud fundamentals
- 12Advanced data analysis with ChatGPT
Tools you will master
What you'll be able to do
- Clean and structure large sets of data with AI
- Design reports and build dashboards daily
- Help leaders make smarter business choices faster
- Start freelancing and work with real clients
Roles you can target
Data Analyst · BI Analyst · Reporting Analyst · MIS Analyst
Typical earning range
PKR 60,000 – 150,000 / month · USD 1,500+ remote
Project Based Training
Become a Data Scientist
Build models that predict what happens next. Master Python, statistics and machine learning, then tell the story with dashboards and a portfolio that proves it.
Duration
5 Months
Mode
Online — LMS Self Paced
Days
Any 3 days a week
Certified by
Harvard & IBM
Investment
Rs. 7,500
Full module breakdown
- 1Foundations of data science concepts
- 2Python programming for data analysis and automation
- 3Manipulate, clean and prepare datasets effectively
- 4Expertise in Pandas and NumPy for data handling
- 5Visualize insights with Matplotlib, Seaborn and Plotly
- 6Strong understanding of statistics and probability
- 7Machine learning with Scikit-learn and TensorFlow
- 8Real-world projects to build analytical problem-solving skills
- 9Data storytelling and compelling dashboards with Power BI
- 10SQL to extract and analyze data from databases
- 11Data engineering basics and pipelines for large datasets
- 12Build a professional portfolio of data science projects
- 13Continuous learning to stay updated with new technologies
Tools you will master
What you'll be able to do
- Train, evaluate and explain machine learning models
- Turn messy data into a decision-ready story
- Publish a portfolio recruiters can click through
- Start freelancing on prediction & analytics projects
Roles you can target
Data Scientist · ML Analyst · Research Analyst · AI Associate
Typical earning range
PKR 100,000 – 250,000 / month · USD 2,000+ remote
Project Based Training
Become a Data / ML Engineer
Build the pipelines that power analytics and AI — batch and streaming, cloud-native, production-grade and monitored end to end.
Duration
6 Months
Mode
Online — LMS Self Paced
Days
Any 3 days a week (7 months access)
Certified by
Harvard
Investment
Rs. 12,500
Full module breakdown
- 1Core concepts of data engineering
- 2Python programming for automation and pipelines
- 3SQL for querying and managing databases
- 4Data modeling and schema design
- 5ETL processes for data extraction and transformation
- 6Pandas for data cleaning tasks
- 7Apache Airflow for workflow orchestration
- 8Distributed computing with the Apache Spark framework
- 9Hands-on experience with cloud platforms like AWS
- 10Build and manage scalable data pipelines efficiently
- 11Docker for deployment and environment consistency
- 12Version control with Git and GitHub
- 13Data warehousing with Snowflake and BigQuery
- 14Real-time streaming systems using Kafka
- 15Develop and monitor end-to-end data infrastructure systems
Tools you will master
What you'll be able to do
- Design and ship reliable batch + streaming pipelines
- Model and warehouse data teams can trust
- Deploy with Docker and monitor in production
- Freelance on high-value infrastructure contracts
Roles you can target
Data Engineer · Analytics Engineer · ML Engineer · Platform Engineer
Typical earning range
PKR 150,000 – 400,000 / month · USD 3,000+ remote
Every tool taught across our programs
From spreadsheets to streaming pipelines — the exact stack listed in our official outlines.