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Software & Development Training

Python Training

Learn Python from first principles to files, OOP, APIs and data libraries, the language of choice for automation, data science and AI.

Beginner to IntermediateProgrammingAI & DataSoftware Development

At a glance

  • CategorySoftware & Development Training
  • LevelBeginner to Intermediate
  • Curriculum6 modules, 4 project ideas
  • InstituteAIIT Roorkee, Roorkee

Course Overview

About this course

Python is readable, versatile and the most common language for data science, machine learning and AI work. It is also widely used for automation, web backends and scripting, which makes it one of the most useful first languages to learn.

This course builds a solid core: syntax, data structures, functions, modules, object oriented programming, error handling and file work. It then introduces working with APIs and the libraries that open the door to data and AI, such as NumPy, pandas and Matplotlib.

Learning Objectives

By the end of Python Training, learners should be able to:

  • Write readable Python programs using core data structures
  • Organise code with functions, modules and classes
  • Read and write files including CSV and JSON
  • Call web APIs and automate everyday tasks
  • Analyse and visualise simple datasets with NumPy, pandas and Matplotlib

Topics Covered

01Python basics
  • Installing Python and using notebooks
  • Variables, types and operators
  • Input, output and string formatting
02Control flow and data structures
  • Conditions and loops
  • Lists, tuples, sets and dictionaries
  • Comprehensions
03Functions and modules
  • Arguments, return values and scope
  • Built in and third party modules
  • Virtual environments and pip
04Object oriented Python
  • Classes and objects
  • Inheritance and dunder methods
  • Exceptions and custom errors
05Files, APIs and automation
  • Working with CSV and JSON
  • requests and REST APIs
  • Automating files, folders and reports
06Python for data
  • NumPy arrays
  • pandas DataFrames
  • Charts with Matplotlib
  • Mini data project

Topic order and depth may be adjusted for the batch, format and learner level.

Practical Learning

Every module pairs explanation with hands-on work. Typical practical activities in this course:

Jupyter notebook exercises after every concept

Automation tasks based on everyday office work

API exercises using public data sources

Code reading sessions to learn Pythonic style

Representative Projects

Projects are chosen with mentors based on your level and interests. Examples include:

  • Expense tracker with CSV storage
  • Weather or news app using a public API
  • File organiser automation script
  • Exploratory analysis of a public dataset

Who Should Join

  • Complete beginners choosing a first language
  • Students heading towards data science, ML or AI
  • Working professionals who want to automate tasks
  • Engineering students of any branch

Prerequisites

  • No coding experience required
  • Basic computer skills

Learning Format

This course can be offered in the following formats, depending on the batch:

  • Short-Term Courses
  • Long-Term Courses
  • Weekend Programs
  • Summer Training
  • Winter Training
  • Live Project Training

Ask the team for current batch timings and the formats open for Python Training.

Career Relevance

Skills from this course are relevant to roles and directions such as:

  • Python Developer
  • Automation and Scripting roles
  • Data Analyst foundation
  • Foundation for Machine Learning and AI roles

Career relevance describes where these skills are commonly used. It is not a promise of employment. Learners can use AIIT Roorkee's placement assistance for career preparation support.

FAQs

Is Python enough to start a career in AI?

Python is the essential first step. AI roles also need statistics, data handling and machine learning skills, which you can build next through Data Science, Machine Learning and Artificial Intelligence courses at AIIT Roorkee.

Can non computer science students learn Python?

Yes. Python is popular with students from mechanical, civil, electrical, commerce and science backgrounds because it is readable and immediately useful for analysis and automation.

Which tools are used in Python Training?

Learners use Python 3, Jupyter notebooks, a code editor such as VS Code, and libraries including pandas, NumPy and Matplotlib.

What is the duration and schedule of this course?

Duration, batch timings and format are shared when you enquire, because they depend on whether you choose a short-term, long-term, weekend or training format. Contact the team by phone, WhatsApp or email for current batches.

Is placement assistance available?

Learners can use AIIT Roorkee's placement assistance, which includes career counselling, CV preparation, LinkedIn development, interview preparation and mock interviews. Placement assistance is career preparation support and does not constitute a guarantee of employment or placement.

Practical Lab Environment

Python Training Developer Console

Start Learning Python Training

Build practical engineering skills with 1-on-1 mentorship and live projects at AIIT Roorkee.

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