Online Python Training in Srbija

This instructor-led, live training in Srbija focuses on practical Python implementation for autonomous AI agents. It explores modern SDKs like LangChain and AutoGen, enabling engineers to build, connect, and orchestrate complex agent workflows with confidence.

This live, instructor-led course in Srbija 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.

This instructor-led live training, conducted Srbija (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.

Ova obuka uz instruktora, u Srbija (online ili na lokaciji), namenjena je analitičarima podataka od stručnjaka koji žele da iskoriste mogućnosti Python-a za analizu podataka unutar Power BI, čime se poboljšava njihova sposobnost efikasne analize i vizuelizacije podataka.

Nakon završetka ove obuke, učesnici će biti u mogućnosti da:

• Uče kako se Python može integrirati u Power BI za analizu podataka.
• Upotrebljavaju Python skripte za učitavanje, čišćenje i predobradu podataka unutar Power BI okruženja.
• Poboljšaju sposobnosti vizuelizacije podataka kreiranjem prilagođenih i interaktivnih vizuelizacija pomoću Python-a.
• Steknu napredne veštine analize podataka pomoću Python-a.

This instructor-led, live training in Srbija 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.

This instructor-led, live training in Srbija (online or onsite) is designed for beginner-level developers and data analysts who want to learn Python programming from scratch using Google Colab.

Upon completing this training, participants will be equipped to:

• Grasp the foundational concepts of the Python programming language.
• Write and execute Python code within the Google Colab environment.
• Apply control structures to effectively manage program execution flow.
• Develop functions to organize and reuse code efficiently.
• Discover and utilize fundamental Python libraries.

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.

This instructor-led, live training in Srbija (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.

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

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS applications.

This instructor-led, live training in Srbija (online or onsite) is designed for developers seeking to master advanced Python programming techniques. It covers applying this versatile language to solve problems in distributed applications, data analysis and visualization, UI programming, and maintenance scripting.

This instructor-led, live training in Srbija is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.

By the end of this training, participants will know how to program in Python and apply this new skill for:

• Automating tasks by writing simple Python programs.
• Writing programs that can do text pattern recognition with "regular expressions".
• Programmatically generating and updating Excel spreadsheets.
• Parsing PDFs and Word documents.
• Crawling web sites and pulling information from online sources.
• Writing programs that send out email notifications.
• Use Python's debugging tools to quickly resolve bugs.
• Programmatically controlling the mouse and keyboard to click and type for you.

In this live, instructor-led training in Srbija, participants will explore the most current and advanced machine learning techniques in Python by developing a series of demonstration applications that utilize image, audio, text, and financial data.

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

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

This instructor-led, live training in Srbija (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.

This instructor-led live training in Srbija (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.

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

• Install and configure a Python development environment.
• Understand the differences and similarities between Matlab and Python syntax.
• Use Python to obtain insights from various datasets.
• Convert existing Matlab applications to Python.
• Integrate Matlab and Python applications.

This instructor-led, live training in Srbija (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

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

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This instructor-led live training in Srbija (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.

This instructor-led live training in Srbija (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.

Ova obuka sa instruktom uživo u Srbija (online ili licno) namenjena je inženjerima mreža koji žele da održavaju, upravljaju i dizajniraju računarske mreže koristeći Python.

Na kraju ove obuke, učesnici će moći da:

• Optimizuju i iskoriste Paramiko, Netmiko, Napalm, Telnet i pyntc za automatizaciju mreža pomoću Pythona.
• Savladaju višenegovornički programiranje (multi-threading) i višestruko procesiranje (multiprocessing) u automatizaciji mreža.
• Koriste GNS3 i Python za programiranje mreža.

This instructor-led, live training in Srbija (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.

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.

This practical course is tailored for Unix and shell users seeking to upgrade their automation skills through the power of Python. Although shell scripting is still effective for straightforward tasks, Python offers far greater flexibility, code clarity, and scalability for complex automation, system administration, and DevOps processes.

Ova uživa obuka sa instruktom u Srbija (online ili uživo) namenjena je netehničkim profesionalcima koji žele da koriste Claude, Python, Selenium i Windows alate za automatizaciju ponavljajućih izveštaja i procesa prikupljanja podataka.

Kurs se gradi od osnova, tako da učesnici pišu svoj prvi funkcionalan skript rano tokom obuke i završavaju sa zakazanim izveštajem koga su sami napravili.

Nakon završetka ove obuke, učesnici će moći da grade, validiraju, distribuiraju i zakazuju automatizovane izveštaje.