Get in Touch

Course Outline

Introduction to Python Programming

  • Executing Python code
  • Leveraging Python Development Tools (IDEs and command line utilities)
  • Utilizing Python and iPython shells, along with iPython Notebook

Data Types and Operations

  • Integers and floats – likely unnecessary
  • Strings and bytes – likely unnecessary
  • Tuples and lists
  • Dictionaries and ordered dictionaries
  • Sets and frozen sets

Organizing and Distributing Code

  • Building modules and packages
  • Publishing code to repositories

Object Oriented and Functional Programming

  • Developing and implementing functions and classes
  • Enhancing functions and classes through decorators
  • Overview of meta-classes

Error Handling and Testing

  • Catching and throwing exceptions
  • Creating and running tests (doc tests and unit tests)
  • Monitoring test code coverage

Working with Files and Directories

  • Managing various file types and understanding file handling concepts
  • Creating, reading, modifying, and removing files (including plain text, CSV, Microsoft Word, and Microsoft Excel files)
  • Extracting data from text files via Regular Expressions
  • Managing directories, as well as listing and searching for files

Requirements

No prior experience required.

 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (7)

everything was perfect

Florin Vrincianu
Course - Python Programming Fundamentals

The fact that the trainer could guide us and correct if needed and explained what was wrongly done

Roxana - Emilia Zamfir
Course - Python Programming Fundamentals

Felt like a rounded introduction to python, giving me the confidence to immediately tackle some basic level progs before attempting something more substantial

Graham - Quantum Detectors Ltd
Course - Python Programming Fundamentals

I liked that I could ask questions and Abhi did answer all of them providing excellent examples.

Bozena - New College Durham
Course - Python Programming Fundamentals

Everything was OK. Trainer very well prepared and I really enjoyed the course.

Gelep Dragos
Course - Python Programming Fundamentals

The course was straight forward, intuitive, easy to follow, the exercises covered the subjects discussed beforehand.

Alexandru - BRD
Course - Python Programming Fundamentals

The knowledgeability.

Dan Nohai - BRD
Course - Python Programming Fundamentals

Upcoming Courses

Python Programming Fundamentals

2026-10-07 09:30
14 hours
Mumbai, Andheri East - Classroom
210,661 INR (Online)
216,661 INR (Classroom)

Python Programming Fundamentals

2026-10-21 09:30
14 hours
Mumbai, Lower Parel - Classroom
210,661 INR (Online)
219,661 INR (Classroom)

Python Programming Fundamentals

2026-11-04 09:30
14 hours
Pune, SB Road - Classroom
210,661 INR (Online)
216,061 INR (Classroom)

Python Programming Fundamentals

2026-11-18 09:30
14 hours
Pune, Koregaon Park - T1
210,661 INR (Online)
220,661 INR (Classroom)

Python Programming Fundamentals

2026-12-02 09:30
14 hours
Delhi, Connaught Place - Classroom
210,661 INR (Online)
220,661 INR (Classroom)

Python Programming Fundamentals

2026-12-16 09:30
14 hours
Delhi, Mohan Estate Metro Station - Classroom
210,661 INR (Online)
216,661 INR (Classroom)

Related Courses

Advanced Python: Best Practices and Design Patterns

 28 Hours
This instructor-led, live training in India covers advanced Python techniques, engineering best practices, and design patterns. It helps developers build maintainable, testable, and high-performance applications using modern tooling, typing, and concurrency models for production-grade systems.
Read more...

Agentic AI Engineering with Python — Build Autonomous Agents

 21 Hours
This instructor-led live training in India provides hands-on Python techniques for developing autonomous agents. Key topics include agent loops, tool integrations, memory management, orchestration, and safety controls. It is ideal for ML engineers aiming to deploy robust, production-ready agents.
Read more...

Introduction to Data Science and AI using Python

 35 Hours
This comprehensive 35-hour training in India focuses on practical applications of Data Science and AI using Python. Key topics include CRISP-DM workflows, machine learning with TensorFlow, NLP, and Big Data management with Spark. It is an ideal choice for beginners looking to develop industry-relevant analytics skills and achieve Python data science certification for real-world business scenarios.
Read more...

Artificial Intelligence with Python (Intermediate Level)

 35 Hours
This intermediate training in India empowers Python developers to design and deploy AI solutions using advanced libraries. You will implement supervised, unsupervised, and reinforcement learning models, optimize neural networks, and integrate AI into real-world workflows effectively.
Read more...

Applied AI from Scratch in Python

 28 Hours
This hands-on training in India enables programmers to build AI models from scratch using Python. Participants will gain proficiency in supervised learning, neural networks, and unsupervised techniques by working with scikit-learn and Apache Spark. The course emphasizes practical Jupyter exercises aimed at solving real-world problems.
Read more...

AWS Cloud9 and Python: A Practical Guide

 14 Hours

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

  • Set up and configure AWS Cloud9 for Python development.
  • Understand the AWS Cloud9 IDE interface and features.
  • Write, debug, and deploy Python applications in AWS Cloud9.
  • Collaborate with other developers using the AWS Cloud9 platform.
  • Integrate AWS Cloud9 with other AWS services for advanced deployments.
Read more...

Bespoke Applied Artificial Intelligence and LLM Engineering with Python

35 Hours
This intensive workshop in India provides data engineers with the practical expertise required for AI and LLM engineering in Python. Through guided practicals and industry case studies, learners investigate prompt design, model integration, and production-ready workflows to construct fully deployable AI solutions.
Read more...

Data Analysis with Python, Pandas and Numpy

 14 Hours

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

  • Set up a development environment that includes Python, Pandas, and NumPy.
  • Create a data analysis application using Pandas and NumPy.
  • Perform advanced data wrangling, sorting, and filtering operations.
  • Conduct aggregate operations and analyze time series data.
  • Visualize data using Matplotlib and other visualization libraries.
  • Debug and optimize their data analysis code.
Read more...

FARM (FastAPI, React, and MongoDB) Full Stack Development

 14 Hours

This instructor-led live training, offered online or on-site, is designed for developers who wish to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications.

By the conclusion of this training, participants will be able to:

  • Establish the necessary development environment integrating FastAPI, React, and MongoDB.
  • Comprehend the essential concepts, features, and benefits associated with the FARM stack.
  • Master the process of building REST APIs with FastAPI.
  • Learn techniques for designing interactive applications using React.
  • Develop, test, and deploy full-stack applications (frontend and backend) leveraging the FARM stack.
Read more...

Developing APIs with Python and FastAPI

 14 Hours

This instructor-led live training in India (online or onsite) is designed for developers who want to utilize FastAPI with Python to build, test, and deploy RESTful APIs with greater ease and speed.

By the conclusion of this training, participants will be able to:

  • Set up the essential development environment for building APIs with Python and FastAPI.
  • Produce APIs faster and more efficiently using the FastAPI library.
  • Learn to create data models and schemas based on Pydantic and OpenAPI.
  • Link APIs to a database using SQLAlchemy.
  • Apply security and authentication features to APIs using FastAPI utilities.
  • Construct container images and deploy web APIs onto a cloud server.
Read more...

Fraud Detection with Python and TensorFlow

 14 Hours

This instructor-led live training in India (online or onsite) is designed for data scientists who wish to use TensorFlow to analyse potential fraud data.

By the end of this training, participants will be able to:

  • Create a fraud detection model in Python and TensorFlow.
  • Build linear regressions and linear regression models to predict fraud.
  • Develop an end-to-end AI application for analysing fraud data.
Read more...

Machine Learning with Python – 4 Days

 28 Hours
Gain practical skills in applying Machine Learning methods using Python through this India training program. The course covers fundamental algorithms such as regression, classification, and clustering, focusing on making effective modeling decisions, interpreting outputs, and validating results with real-world case studies.
Read more...

Python for Network Engineers

 14 Hours

This instructor-led, live training in India (online or onsite) is aimed at network engineers who wish to maintain, manage, and design computer networks with Python.

By the end of this training, participants will be able to:

  • Optimize and leverage Paramiko, Netmiko, Napalm, Telnet, and pyntc for network automation with Python.
  • Master multi-threading and multiprocessing in network automation.
  • Use GNS3 and Python for network programming.
Read more...

Python for Business Analysis and Automation

 21 Hours

This instructor-led, live training in India (online or onsite) is designed for business professionals and data analysts with intermediate Python skills who want to apply Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.

Read more...

Advanced Machine Learning with Python

 21 Hours

In this instructor-led, live training session in India, participants will explore the most relevant and cutting-edge machine learning techniques in Python. Through the development of a series of demonstration applications involving image, music, text, and financial data, learners will gain practical insights.

Upon completion of this training, participants will be able to:

  • Implement machine learning algorithms and techniques to address complex challenges.
  • Apply deep learning and semi-supervised learning methods to applications involving image, music, text, and financial data.
  • Maximize the potential of Python algorithms.
  • Leverage libraries and packages such as NumPy and Theano.
Read more...

Related Categories

Python
Python