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Since November 2022
Instructor since November 2022
Development In Python (A gateway to AI, DataScience and Machine Learning)
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From 22 $ /h
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Python is a fundamental language to do modern day-day data manipulatioare. You see the robots working behind youtube, facebook, goolde, netflix, maps, real-time data etc. doing jobs for us to seacrh anything at affroable cost. The language behind this is python.
Software is adaptable. It means we can convert any field to software but developers do not have enough domain knowledge of every field. So, you need a language to provide ready made functions to all domain experts and they use it easily. They can program and can understand what is going on in the code and what should we do interms of inclusion of knowledge into computers.

This is level-1 course in Python.
Course Contents:
<br/>
1. Introduction To Python
2. Variables
3. Data Types
4. Operators
5. Conditions
6. Loops
7. Functions
8. Classes
9. Modules
10. Introduction of Python libraries (Numpy, Pandas, Matplotlib, Scikit-learn)
11. Scope Of Python Language
Extra information
1. You must have you computer with at least 4GB of RAM
2. You must have at least 2-3 hours daily to work on assignments and projects.
Location
location type icon
Online from Pakistan
About Me
I have over 18 years of experience working in computer tools and technologies. I have over 10 years of teaching experience. I work on weekends also and I like my students to work on weekends. My teaching is project oriented. Practice. Practice and Practice. Do not go to code something before detailed analysis and have some paper work, some mockup or design to understand the problem better. If you know the problem, it is easy for you to solve it.

• Excellent interpersonal and problem-solving skills.
• MIS and ERP Expert
• Expert in Primavera and MS-Project
• SAP HANA, AI, legal, language,currency conversions using SAP, conversion of accounts from QuickBooks and Tally
• Python Expert AI, DS, OOP,Web (Django). Over 5 years of experience
• Wordpress backend expert (Plugin development). Expert in Angular JS. Expert in theme integration. Over 10 years of experience.
• Have solid skills in html,css, angular js, Javascript, jquery and bootstrap. I have integrated PHP, Wordpress, Joomla, Woocommerce, OSCommerce, Moodle, ASP.NET, Python and JSP code in themes and templates. Have created over 100 intranet/Internet websites/web apps using different web tools and technologies.

• Project Level Experience In MERN/MEAN stacks.
Working knowledge of Java for automated tests using Selinium
• Expert in using REST, SOAP, Payment Gateways, Auth APIs etc.
• Have created many websites using forms and two websites using MVC in ASP.NET and C#. Have implemented a support intranet desktop app using C# WCF. We needed to communicate images (the query handling) at faster rate with a message and generate daily reports for the support technicians working under Network Admin. I also implemented online browser version for daily weekly and monthly reports using WebAPI.
• Have developed CRUD apps in laravel. Have developed a website to make some of Schools ERP modules live using Laravel.
• Have developed a website in CFML.
• Have used Angular
• Expert in Selenium (Cucumber, Maven POM, DDT, PDT, DBDT, log4j2,hybrid framework, testNG, POM as build tool, JenKins CI, GitHub etc.), Postman for APIs. Leading 3 QAs. Expert in UI, database, API testing). I am expert Selenium trainer. I have worked as freelancer on 4 mega projects, web apps. We take projects on yearly basis and execute.
• Agile using Scrum: Jira and Kanban
Have used JIRA Software and Service Desk for support dept. (Over 5 years of experience). I have used it with Moodle. We create epics, story boards, we put the story boards to Releases (versions). We add storyboards from storyboards backlog to sprint backlog, assign points, subtasks, bugs etc. and we use kanban or scrum board to track the progress of tasks and complete the sprints etc.
• Working knowledge of Mobile Apps but dont have commercial experience.
• Adobe Illustrator for slicing, editing, making small graphics changes, picking colors etc. for templates.
• Quickbooks, Tally and SAP Conversion
• Pitman's Shorthand
• Have taken training of IELTS general.
• Have knowledge of NEIBOSH

Rules Of Business:
1. Type all the code. Do not copy paste.
2. Remember! you are writing code for customer its not for youself.
3. UX/UI is one of the fundamental aspects of programming.
4. Your code should be customer oriented and coder oriented.
6. Relax if you have some problem. If you are unable to fix a bug, ask some coworker or team lead or best is if you have some tester (QA). You think that the code you write is 100% correct but still face problem fixing errors. Do not waste time, just consult someone to fix it. If the problem is minor.
7. Apply your coding skills in your daily life by implementing the projects in the areas of your interest. You have to shedule things, you have to calculate montly totlas, savings etc., you have to play some game, you have to drive etc. These areas are easy to understand and you can convert them into programming projects.
8. Must watch some business/management/marketing videos. You are a problem solver and your tool is adoptable in every field.
9. Learn one skill at a time and learn it all (learn at expert level).
Education
I have done MIT from NUST in 2003. My final project was Information And Marketing System Of Our Campus. I have done B.Sc wtih Math A,B and Physics. I have done diplomas in computer languages, databases, secutrity etc.
Experience / Qualifications
AGT:
I am currently working in AGT as Web And Software Trainer. I have done numerous websites and two mid-sized ERP's.
8 years of coding experience
10 years of teaching experience.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
45 minutes
60 minutes
The class is taught in
English
Urdu
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Web design is the first step in creating a web application. You see Google, Facebook, Yahoo and other websites, all these websites are web apps. Web design is front end of a web application. It includes HTML, CSS and any framework like Twitter Bootstrap.
Course Contents:
1. Baisc Tags
2. Tables
3. Forms
4. CSS
5. Divs
6. Your First Five Page Website
7. Resposive Web Design
8. Responive Version Of Five Page Website
9. How To Make HTML Template?
10. About Me (Your First HTML Template). I will code.
11. Social Media Website (Facebook type Website). I will code
12. Google Play Store. You will code, I will help
13. Analytics Website. You will code, I will help
14. Design Three Utility Bills. You will code, I will help
15. (Live Website).You will code, I will help
16. Bootstrap Components.
18. Five Page Website In Bootstrap.
19. Design Irsha Template In Bootstrap
20. Introduction To JavaScript and MERN Stack
21. Jobs (Websites, Freelancing Websites, Software Houses, Git)

Total Classes: 15

Assessments:
1. Nine Quizes
2. You must complete all the templates to get a certificate
3. Final Exam

Benifits Of This Course:
1. Increased Revenue
2. Credibility
3. Strong First Impression
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6. Brand Consistancy
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Websites are fundamental way of communication accross an echo system. There is huge amount of data in last 30 years. Organization need to manage this data. Facebook has over 6000 million users. This is a huge amount of data. You need fast internet connection to browse and manage data. You need to use primier web tools and technologies to use this data. JavaScript is the fastest language to process websites data.
This course is project based.

MERN is combination of MongoDB, Express, React and Node. This is all JavaScript based stack.
Course Contents:
1. HTML-CSS ( You will do 7 complete responsive web templates, 1 live website)
2. JavaScript (You will do 3 main projects 1. Accounting System 2. Shoppoing Cart 3. Messaging App)
3. jQuery ( You will do Employee management system)
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b. Online Store App With Redux
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6. MySQL
a. Accounts System (React Front-End, Node and MySQL BackEnd)
b. Portfolio Management
7. Express

8. MongoDB
Accounts System (React Front-End, Node and MongoDB backend)
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As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

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Primary School Teacher. I offer personalized guidance in developing lesson plans and learning activities adapted to current educational regulations. During our sessions, you will learn to structure and write a complete lesson plan, including specific competencies, assessment criteria, core knowledge, methodology, addressing diversity, evaluation, and learning situations. My goal is to help you understand each section so you can independently develop a coherent, rigorous, and high-quality lesson plan.

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A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
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• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

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• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
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• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

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• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.
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📊Microsoft Office: To establish your office skills, manage data via Excel, write professional reports with Word, and prepare impressive presentations with PowerPoint.

📐 AutoCAD: To learn engineering drawing and design two-dimensional and three-dimensional plans with high accuracy and speed.

🛣️ Civil 3D: To learn road design, network design, surveying, and quantity surveying in a scientific and practical way
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Microsoft Excel is a powerful Microsoft corporation application that helps one do various mathematical, statistical and logic operations on data sets. It's a powerful tool for data analysis.

In this lesson you will be introduced to Microsoft Excel, it's importance and the basic features of the Microsoft Excel user interface.
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Have you ever wanted to learn how websites are created but didn’t know where to start? This class is designed for complete beginners who want to learn web development in a simple, practical and enjoyable way.

I will guide you step by step through the fundamentals of HTML, CSS and JavaScript, helping you understand how websites are structured, styled and made interactive.

In this class, you will learn how to:

- Understand the basics of web development and how websites work
- Use HTML to create the structure of a webpage.
- Use CSS to add colours, layouts, fonts and styles.
- Get started with JavaScript and understand basic website interactivity.
- Write and organise simple code.
- Build your first basic webpage through practical exercises.

No previous coding experience is required. We will learn at your pace, with clear explanations, hands on practice and time to ask questions.

My goal is to help you build a strong foundation in web development and gain the confidence to continue learning and creating your own websites.
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Are you interested in learning Python but don't know where to start? This course is designed to help you understand the fundamentals of Python programming in a simple, practical, and enjoyable way.

Python is one of the most popular programming languages in the world. It is widely used in software development, automation, data analysis, artificial intelligence, and web development.

Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects
Good-fit Instructor Guarantee
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