Get in Touch
 Duration 14 hours

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 not essential
  • Strings and bytes – likely not essential
  • Tuples and lists
  • Dictionaries and ordered dictionaries
  • Sets and frozen sets

Structuring and Sharing Code

  • Building modules and packages
  • Publishing code to repositories

Object-Oriented and Functional Programming

  • Defining and applying functions and classes
  • Enhancing functions and classes through decorators
  • Exploring meta-classes

Exception Handling and Testing

  • Catching and triggering exceptions
  • Developing and running tests (doc tests and unit tests)
  • Verifying code coverage via tests

File and Directory Management

  • Accessing various file types and understanding file handling fundamentals
  • Creating, reading, modifying, and deleting files (including standard text files, CSV, as well as Microsoft Word and Microsoft Excel files)
  • Parsing data from text files using Regular Expressions
  • Managing directories by creating and removing them, as well as listing and locating files

Requirements

There are no prerequisites.

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

2026-11-20 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Python Programming Fundamentals

2026-12-04 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Python Programming Fundamentals

2026-12-18 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Python Programming Fundamentals

2027-01-01 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Python Programming Fundamentals

2027-01-15 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Related Courses

Advanced Python: Best Practices and Design Patterns

 28 Hours

This instructor-led, live training in Serbia focuses on advanced Python techniques, engineering best practices, and design patterns. It equips developers with the skills to build maintainable, testable, and high-performance applications by utilizing modern tooling, typing, and concurrency models suitable for production-grade systems.

Read more...

Agentic AI Engineering with Python — Build Autonomous Agents

 21 Hours

This live, instructor-led course in Serbia focuses on practical Python techniques for developing autonomous agents. It covers essential components such as agent loops, tool integration, memory management, orchestration, and safety controls. The course is ideal for ML engineers aiming to deploy resilient, production-ready agents.

Read more...

Introduction to Data Science and AI using Python

 35 Hours
This 35-hour program on Serbia focuses on the practical application of Data Science and AI using Python. Participants will study CRISP-DM workflows, machine learning utilizing TensorFlow, NLP, and Big Data via Spark. It is designed for beginners looking to gain job-ready analytics proficiency and pursue Python data science certification for business applications.
Read more...

Artificial Intelligence with Python (Intermediate Level)

 35 Hours
This intermediate-level training in Serbia equips Python developers with the skills to design and deploy AI solutions using advanced libraries. Participants will implement supervised, unsupervised, and reinforcement learning models, optimize neural networks, and effectively integrate AI into real-world workflows.
Read more...

Applied AI from Scratch in Python

 28 Hours
This hands-on training in Serbia enables developers to construct AI models from the ground up using Python. Learners will gain proficiency in supervised learning, neural networks, and unsupervised techniques through the use of scikit-learn and Apache Spark. The course emphasizes practical exercises in Jupyter notebooks to solve real-world problems.
Read more...

AWS Cloud9 and Python: A Practical Guide

 14 Hours

This instructor-led live training, conducted Serbia (online or onsite), is designed for intermediate-level Python developers aiming to enhance their development experience with 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 practical training in Serbia provides data engineers with actionable AI and LLM engineering capabilities using Python. Through facilitated tasks and practical case studies, participants examine prompt design, model integration, and production-ready workflows to construct end-to-end AI solutions.
Read more...

Data Analysis with Python, Pandas and Numpy

 14 Hours

This instructor-led, live training in Serbia (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 (available online or onsite) targets developers who want 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:

  • Configure the necessary development environment integrating FastAPI, React, and MongoDB.
  • Comprehend the key concepts, features, and benefits of the FARM stack.
  • Build REST APIs using FastAPI.
  • Design interactive applications with React.
  • Develop, test, and deploy applications (both front end and back end) using the FARM stack.
Read more...

Developing APIs with Python and FastAPI

 14 Hours

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

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

  • Set up the required development environment to build APIs with Python and FastAPI.
  • Create APIs faster and more easily using the FastAPI library.
  • Learn how to create data models and schemas based on Pydantic and OpenAPI.
  • Connect APIs to a database using SQLAlchemy.
  • Implement security and authentication in APIs using FastAPI tools.
  • Build container images and deploy web APIs to a cloud server.
Read more...

Fraud Detection with Python and TensorFlow

 14 Hours

This instructor-led live training in Serbia (online or on-site) is designed for data scientists who want to use TensorFlow to analyze 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 analyzing fraud data.
Read more...

Machine Learning with Python – 4 Days

 28 Hours
Gain hands-on expertise in applying Machine Learning methods using Python through this Serbia program. The course delves into fundamental algorithms such as regression, classification, and clustering, guiding you through modeling decisions, output interpretation, and result validation via practical, real-world case studies.
Read more...

Python for Network Engineers

 14 Hours

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

Read more...

Python Advanced

 21 Hours

This guided, real-time training session (available online or at your location) is designed for experienced users.

Course Format

  • Interactive presentations and group discussions.
  • Extensive exercises and practical work.
  • Practical application in a live laboratory setting.

Customization Options for the Course

  • For tailored training on this subject, please reach out to us to make arrangements.
Read more...

Related Categories

Python
Python