Data Science & AI
Data Science & AI Engineering
From Python fundamentals to Machine Learning, Deep Learning and AI
Instructor
Hammad Zahid
Program overview
A practical 40-day journey from Python programming and data analysis to machine learning, deep learning, NLP, time series, dashboards, GitHub, and prompt engineering. Learn by building real-world data science and AI projects from the ground up.
Tuition
Rs50,000Course pricing and payment plans can be configured based on the academy's offering.
What's included
- ✓40 days of structured learning
- ✓Practical coding exercises
- ✓Real-world datasets and projects
- ✓Python, Pandas and NumPy practice
- ✓Machine Learning projects
- ✓Deep Learning with TensorFlow
- ✓Data visualization and dashboard projects
- ✓NLP and Time Series projects
- ✓GitHub project workflow
- ✓Prompt Engineering practice
- ✓Course feedback and improvement guidance
Next cohort
2026-10-04
Everything in your enrollment
- ✓40 days of structured learning
- ✓Practical coding exercises
- ✓Real-world datasets and projects
- ✓Python, Pandas and NumPy practice
- ✓Machine Learning projects
- ✓Deep Learning with TensorFlow
- ✓Data visualization and dashboard projects
- ✓NLP and Time Series projects
- ✓GitHub project workflow
- ✓Prompt Engineering practice
- ✓Course feedback and improvement guidance
What you'll study
40 Days · Beginner to Advanced · 40+ hours of mentor-led content
Understand who a Data Scientist is, explore the Data Science career path, begin the Python Ka Chilla for Data Science, install the required software, and write your first Python program.
What you'll learn
Concrete skills — not vague promises.
- ✓Build a strong foundation in Python programming for Data Science
- ✓Clean, transform and analyze real-world datasets
- ✓Create professional data visualizations and dashboards
- ✓Perform Exploratory Data Analysis and statistical analysis
- ✓Train, evaluate and improve Machine Learning models
- ✓Build Deep Learning models using TensorFlow
- ✓Work with NLP and Time Series datasets
- ✓Build and deploy Data Science web applications
- ✓Use Git and GitHub for professional project management
- ✓Apply Prompt Engineering techniques with modern AI tools
Your instructor
Independent AI & Data ProjectsAI Engineer & Data Scientist
Hammad Zahid
Data Scientist | ML Engineer | AI Enthusiast | Python Specialist
Hammad Zahid is an aspiring AI Engineer and Data Scientist focused on building practical AI, machine learning, data analytics, and intelligent automation solutions. He works with Python, SQL, machine learning, deep learning, generative AI, RAG, knowledge graphs, and AI agents to turn data and ideas into useful real-world applications.
View full profile →Student outcomes
From students who completed this program.
“What sets IOP apart is the depth. You're not just learning tools you're understanding the principles that make great technology. My mentor's guidance was instrumental in my first paper.
“The course helped me move from Python basics to building practical Machine Learning and Data Science projects.
Pricing & details
Tuition
Rs50,000Course pricing and payment plans can be configured based on the academy's offering.
2026-10-04
Prerequisites
No advanced programming experience required. Basic computer knowledge and a willingness to learn are recommended.
Refund policy
Refund policy can be configured according to the academy's terms and conditions.
Common questions
Specific to this program.
No. The course starts with Python fundamentals and gradually moves toward Machine Learning, Deep Learning and AI.
Yes. The curriculum is designed to take learners from programming fundamentals to practical Data Science and AI projects.
Python is the primary programming language used throughout the course.
Yes. The course focuses on practical exercises, real-world datasets and project-based learning rather than theory alone.
Yes. Days 16–25 are dedicated to Machine Learning, including the practical ML workflow and model development.
Yes. Days 27–35 focus on Deep Learning with TensorFlow.
Yes. The course introduces dashboard and web application development for Data Science using Python-based tools such as Streamlit.
Yes. Day 39 covers Git and GitHub so you can manage and showcase your Data Science projects professionally.
Yes. The final day introduces Prompt Engineering and practical AI-assisted workflows.
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Tuition
Rs50,000Course pricing and payment plans can be configured based on the academy's offering.
What's included
- ✓40 days of structured learning
- ✓Practical coding exercises
- ✓Real-world datasets and projects
- ✓Python, Pandas and NumPy practice
- ✓Machine Learning projects
- ✓Deep Learning with TensorFlow
- ✓Data visualization and dashboard projects
- ✓NLP and Time Series projects
- ✓GitHub project workflow
- ✓Prompt Engineering practice
- ✓Course feedback and improvement guidance
Next cohort
2026-10-04
Enroll in Data Science & AI Engineering
Join the next cohort and build with mentor support from day one.