Python Training in Tulsa

Python serves as the foundational language driving the development and coordination of autonomous AI agents. This course emphasizes practical implementation using modern SDKs and frameworks such as LangChain and AutoGen to construct, connect, and manage agent workflows. This instructor-led, live training (online or onsite) is designed for intermediate-level backend engineers, platform engineers, and ML engineers who aim to implement and coordinate autonomous agents using Python tooling and APIs. By the end of this training, participants will be able to: - Set up and configure Python-based environments for agentic systems. - Utilize popular agent SDKs like LangChain and AutoGen to develop functional agents. - Integrate tools and APIs to enhance agent capabilities. - Orchestrate multi-agent workflows and communication patterns. - Apply best practices for debugging, testing, and maintaining agentic codebases. **Format of the Course** - Interactive lecture and discussion. - Hands-on programming exercises and live demonstrations. - Practical projects building end-to-end agent workflows. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

This course provides practical engineering techniques for designing, building, testing, and deploying autonomous systems using Python. It covers key topics such as the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production considerations. This instructor-led, live training (available online or onsite) is designed for intermediate to advanced ML engineers, AI developers, and software engineers who wish to develop robust, production-ready autonomous agents using Python. By the end of this training, participants will be able to: - Design and implement the agent loop and decision-making workflows. - Integrate external tools and APIs to enhance agent capabilities. - Implement short-term and long-term memory architectures for agents. - Coordinate multi-step orchestrations and ensure agent composability. - Apply safety, access control, and observability best practices for deployed agents. **Format of the Course** - Interactive lecture and discussion - Hands-on labs building agents with Python and popular SDKs - Project-based exercises that produce deployable prototypes **Course Customization Options for Government** - To request a customized training tailored to specific needs, please contact us to arrange.

Artificial Intelligence with Python is the development of intelligent systems utilizing Python’s extensive ecosystem of AI and machine learning libraries. This instructor-led, live training (online or onsite) is designed for intermediate-level Python programmers who wish to design, implement, and deploy AI solutions using Python. By the end of this training, participants will be able to: - Implement AI algorithms using Python’s core AI libraries. - Work with supervised, unsupervised, and reinforcement learning models. - Integrate AI solutions into existing applications and workflows for government. - Evaluate model performance and optimize for accuracy and efficiency. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training (online or onsite) is designed for intermediate-level Python developers who aim 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 government Python development. - Understand the interface and features of the AWS Cloud9 IDE. - Write, debug, and deploy Python applications within AWS Cloud9. - Collaborate with other developers using the AWS Cloud9 platform. - Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led, live training in Tulsa (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI for government, enhancing their ability to analyze and visualize data effectively. By the end of this training, participants will be able to: - Understand how Python can be integrated into Power BI for data analysis. - Utilize Python scripts to load, clean, and preprocess data within the Power BI environment. - Enhance data visualization capabilities by creating custom and interactive visualizations using Python. - Develop advanced data analysis skills using Python.

Python is a versatile programming language widely used for data manipulation, automation, and analytics. Libraries such as Pandas and Polars offer robust tools for handling tabular data at scale. This instructor-led, live training (online or onsite) is designed for government professionals ranging from beginners to intermediates who wish to apply Python for everyday data analysis, file processing, and process automation using Pandas and Polars. By the end of this training, participants will be able to: - Use Python to read, transform, and write CSV and Excel files. - Perform common data cleaning and transformation tasks with Pandas and Polars. - Automate repetitive data processes with Python scripts. - Package simple scripts into executables and adhere to best practices for projects. **Format of the Course** - Interactive coding demonstrations and short lectures. - Hands-on exercises with guided code examples. - Practical mini-projects to automate real-world tasks. **Course Customization Options** - To request a customized training for government, please contact us to arrange.

This comprehensive, hands-on course is designed for government professionals and covers advanced Python techniques, engineering best practices, and commonly used design patterns to build maintainable, testable, and high-performance Python applications. It emphasizes modern tooling, typing, concurrency models, architecture patterns, and deployment-ready workflows. This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level Python developers within government agencies who wish to adopt professional practices and patterns for production-grade Python systems. By the end of this training, participants will be able to: - Apply Python typing, dataclasses, and type-checking to increase code reliability. - Use design patterns and architecture principles to structure robust applications. - Implement concurrency and parallelism correctly using asyncio and multiprocessing. - Build well-tested code with pytest, property-based testing, and CI pipelines. - Profile, optimize, and harden Python applications for production. - Package, distribute, and deploy Python projects using modern tools and containers. **Format of the Course** - Interactive lectures and short demonstrations. - Hands-on labs and coding exercises each day. - Capstone mini-project integrating patterns, testing, and deployment. **Course Customization Options** - To request a customized training or focus area (data, web, or infrastructure), please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab. By the end of this training, participants will be able to: - Understand the fundamentals of the Python programming language. - Implement Python code within the Google Colab environment. - Utilize control structures to manage the flow of a Python program effectively. - Develop functions to organize and reuse code efficiently. - Explore and utilize basic libraries for Python programming. This training is designed to enhance skills in programming for government and other public sector applications, ensuring participants are well-equipped to apply their knowledge in a variety of governance and accountability contexts.

This instructor-led, live training (available online or on-site) is designed for developers who aim to utilize the FARM (FastAPI, React, and MongoDB) stack to create dynamic, high-performance, and scalable web applications for government use. By the end of this training, participants will be able to: - Set up a development environment that seamlessly integrates FastAPI, React, and MongoDB. - Understand the fundamental concepts, features, and benefits of the FARM stack. - Learn how to develop REST APIs using FastAPI. - Gain proficiency in designing interactive applications with React. - Develop, test, and deploy both front-end and back-end components of applications using the FARM stack.

This instructor-led, live training in Tulsa (online or onsite) is designed for government robotics developers at beginner to intermediate levels, as well as potentially advanced professionals, 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. - Utilize ROS tools and utilities to monitor and debug ROS applications. - Leverage ROS packages and libraries to perform common tasks for mobile robots. - Integrate ROS with other frameworks and tools for government projects. - Troubleshoot and debug ROS applications effectively.

This course is designed for individuals seeking to learn the Python programming language, with a focus on both the core language and its libraries. It highlights the most valuable and relevant libraries developed by the Python community. Python is widely used in various sectors, including business and scientific research, making it one of the most popular programming languages. The course can be delivered using the latest version of Python 3.x, incorporating practical exercises that leverage its full capabilities. These exercises are compatible with a variety of operating systems, including all versions of UNIX, Linux, Mac OS X, and Microsoft Windows. Approximately 70% of the course time is dedicated to hands-on practical exercises, while 30% is allocated for demonstrations and presentations. Participants are encouraged to engage in discussions and ask questions throughout the course. Note: The training can be customized to meet specific needs upon prior request ahead of the proposed course date, ensuring it aligns effectively with the requirements for government use.

This instructor-led, live training in Tulsa (online or onsite) is designed for government developers who wish to enhance their skills in advanced Python programming techniques. The course covers the application of this versatile language to address challenges in areas such as distributed applications, data analysis and visualization, user interface programming, and maintenance scripting, all tailored to meet the specific needs for government workflows and governance.

This course is designed for individuals seeking to learn the Python programming language. The focus is on mastering the Python language, its core libraries, and the selection of the most effective and useful libraries developed by the Python community. Python is widely used in both the public and private sectors, driving innovation and efficiency in various fields, including scientific research and business operations. This course is tailored to enhance skills for government professionals and others who rely on robust programming tools to support their work.

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

By the end of this training, participants will be able to program in Python and apply these new skills for government:

• Automating tasks by writing simple Python scripts.
• Creating programs that perform text pattern recognition using "regular expressions."
• Generating and updating Excel spreadsheets programmatically.
• Parsing PDFs and Word documents.
• Crawling websites to extract information from online sources.
• Developing programs that send out email notifications.
• Utilizing Python's debugging tools to quickly resolve bugs.
• Programmatically controlling the mouse and keyboard to automate repetitive actions.

In this instructor-led, live training for government participants in [location], attendees will gain proficiency in the most relevant and cutting-edge machine learning techniques using Python. Through hands-on exercises, they will develop a series of demo applications involving image, music, text, and financial data. By the end of this training, participants will be able to: - Implement machine learning algorithms and techniques for solving complex problems. - Apply deep learning and semi-supervised learning methods to applications involving image, music, text, and financial data. - Optimize Python algorithms to their maximum potential. - Utilize libraries and packages such as NumPy and Theano.

This instructor-led, live training in Tulsa (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 for government applications.

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 for government workflows.
• 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 to ensure compliance with public sector governance standards.

The objective of this course is to enhance proficiency in applying Machine Learning methods in practical scenarios. Utilizing the Python programming language and its various libraries, and through a wide range of practical examples, this course instructs participants on how to effectively use key Machine Learning components, make informed data modeling decisions, interpret algorithm outputs, and validate results.

Our goal is to equip you with the skills necessary to confidently understand and utilize the essential tools from the Machine Learning toolbox, while avoiding common pitfalls in Data Science applications for government.

Python is a programming language that has gained significant popularity in the financial sector. Adopted by major investment banks and hedge funds, it is used to develop a wide array of financial applications, from core trading systems to risk management platforms.

In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a variety of finance-related challenges.

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

• Understand the fundamentals of the Python programming language
• Download, install, and maintain the best development tools for creating financial applications in Python
• Select and utilize the most appropriate Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
• Build applications that address issues related to asset allocation, risk analysis, investment performance, and more
• Troubleshoot, integrate, deploy, and optimize a Python application

Audience

• Developers
• Analysts
• Quants

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

Note

• This training is designed to provide solutions for some of the primary challenges faced by finance professionals. If you have a specific topic, tool, or technique that you would like to cover or expand upon, please contact us to arrange.

Govtra offers this course for government personnel and organizations looking to enhance their financial technology capabilities and align with public sector workflows, governance, and accountability standards.

This resource provides actionable methodologies for Data Science and artificial intelligence leveraging Python, enabling personnel to analyze datasets, develop machine learning models, and implement AI-enabled solutions within organizational frameworks. The curriculum encompasses CRISP-DM processes, statistical evaluation, supervised and unsupervised learning techniques, deep learning via TensorFlow, natural language processing, big data analytics with Spark, and data-driven communication strategies. Designed to support workforce development, this material serves as a foundational pathway for individuals pursuing Python data science credentials and career-oriented analytics training specifically for government.

This resource provides program developers and data analysts with the essential methodologies required to construct machine learning frameworks from the ground up utilizing Python. It addresses the fundamental concepts governing supervised learning techniques, including classification and regression, as well as unsupervised methods such as clustering and anomaly detection, alongside sophisticated neural network designs. The material details established protocols for leveraging scikit-learn, Apache Spark MLlib, and Jupyter notebooks to facilitate direct AI development. This content is designed to assist professionals in deploying functional models, assessing algorithmic constraints, and executing applied projects aimed at addressing complex operational challenges for government entities.

Selenium is an open-source framework designed for automating web application testing across various browsers. Selenium 4 introduces enhanced WebDriver APIs, native relative locators, and improved grid support. Python, with its simplicity and robust integration with testing frameworks such as Pytest, is a powerful choice for developing scalable and maintainable test automation suites. This instructor-led, live training (online or onsite) is aimed at beginner to intermediate testers and developers who wish to use Selenium with Python to automate web application testing in real-world environments for government projects. By the end of this training, participants will be able to: - Install and configure Selenium with Python in a test environment. - Build robust test automation scripts using Selenium WebDriver and Pytest. - Apply the Page Object Model (POM) for maintainable test frameworks. - Run tests across multiple browsers using Selenium Grid. - Integrate automated tests with CI/CD pipelines. - Troubleshoot common issues and apply best practices for automation stability. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is aimed at MATLAB users who wish to explore and transition to Python for data analytics and visualization for government purposes. 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 gain insights from various datasets. - Convert existing MATLAB applications to Python. - Integrate MATLAB and Python applications within their workflows.

This instructor-led, live training (online or onsite) is designed for individuals who wish to acquire sufficient Python skills to effectively analyze and interpret data from various sources, such as sales records, traffic analytics, and customer interactions.

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

• Install and configure the required software, libraries, and development environment necessary for writing Python code for data analysis.
• Analyze data from diverse sources, including Excel spreadsheets, CSV files, JSON documents, and databases.
• Clean and preprocess data to enhance its quality and usability before performing analysis.
• Conduct basic statistical analyses to derive meaningful insights.
• Create reports that present data in a clear and actionable format, ranging from numerical summaries to visualizations.
• Extract valuable insights from data, including performance trends and areas requiring attention.

This training is tailored to support the unique needs of public sector workflows, ensuring alignment with governance and accountability standards for government.

Course Overview

This hands-on training is designed for professionals with a background in data engineering who wish to develop practical skills in artificial intelligence, Python, and large language models. The course emphasizes real-world applications, including model usage, prompt engineering, and the construction of AI-powered solutions. Participants will engage in progressive exercises that advance from fundamental concepts to the development of deployable AI workflows.

Format of Training

• In-person classroom training
• Instructor-led sessions with guided practice
• Interactive discussions and real-world case studies
• Daily hands-on exercises

Course Objectives

• Understand core AI and machine learning concepts relevant to modern applications for government
• Strengthen Python skills for AI development and data workflows in a public sector context
• Learn the principles of large language models and how to use them effectively in government projects
• Design and optimize prompts to ensure reliable outputs in governmental operations
• Build end-to-end AI solutions using APIs and frameworks suitable for government applications
• Integrate AI into data engineering pipelines to enhance public sector workflows

This instructor-led, live training (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs more efficiently and rapidly for government projects. By the end of this training, participants will be able to: - Set up the necessary development environment to create APIs using Python and FastAPI. - Develop APIs more quickly and easily leveraging the FastAPI library. - Understand how to create data models and schemas based on Pydantic and OpenAPI standards. - Integrate APIs with a database using SQLAlchemy. - Implement security and authentication in APIs utilizing FastAPI tools. - Build container images and deploy web APIs to a cloud server for government use.

This instructor-led, live training (available online or onsite) is designed for government data scientists who wish to utilize TensorFlow to analyze potential fraud data. By the end of this training, participants will be able to: - Develop a fraud detection model using Python and TensorFlow. - Construct linear regressions and linear regression models to predict fraudulent activities. - Create an end-to-end AI application for analyzing fraud data for government use.

This instructor-led, live training (online or onsite) is designed for government network engineers who wish to maintain, manage, and design computer networks using 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 techniques in network automation. - Utilize GNS3 and Python for network programming and simulation. This training aligns with the standards and best practices for government IT infrastructure management.

This instructor-led, live training, offered either online or on-site, is designed for government business professionals and data analysts with intermediate Python skills. Participants will learn to leverage Python for automating workflows, analyzing business data, and creating dynamic Excel-based reports for government use.

This instructor-led, live training (online or onsite) is designed for advanced level users.

Format of the Course for Government

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options for Government

• To request a customized training for this course, please contact us to arrange.

Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python, a high-level programming language renowned for its clear syntax and code readability, is widely used in this domain. In this instructor-led, live training, participants will gain an understanding of the fundamentals of Computer Vision as they work through the creation of several simple Computer Vision applications using Python. By the end of this training, participants will be able to: - Understand the basics of Computer Vision - Use Python to implement Computer Vision tasks - Build their own face, object, and motion detection systems **Audience** - Python programmers interested in Computer Vision for government projects **Format of the Course** - Part lecture, part discussion, with exercises and extensive hands-on practice

This hands-on course is tailored for Unix and shell users seeking to enhance their automation capabilities through the use of Python. Although shell scripting continues to be effective for straightforward tasks, Python offers substantially greater flexibility, clarity, and scalability for more complex automation, system administration, and DevOps workflows for government.