Python for Natural Language Generation (NLG) Training Course

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level professionals who wish to enhance their skills in generating high-quality, human-like text using advanced natural language generation (NLG) methods for government applications.

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

• Understand advanced techniques for generating natural language text for government use.
• Implement and fine-tune transformer-based models for NLG in public sector contexts.
• Optimize NLG outputs for fluency, coherence, and relevance in government communications.
• Evaluate the quality of generated text using both automated and human metrics to ensure alignment with public sector standards.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and software engineers who wish to use Dask within the Python ecosystem to build, scale, and analyze large datasets for government.

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

• Set up the environment to begin building big data processing capabilities with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask to support their work for government.
• Understand how Dask enhances parallel computing within Python, optimizing performance for large-scale data analysis.
• Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask to meet the demands of complex datasets in the public sector.
• Optimize the Dask environment to ensure high performance and efficiency when handling large datasets for government projects.

This instructor-led, live training in US Empire (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.

This instructor-led, live training, available 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 for government use.

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

• Configure a development environment that seamlessly integrates FastAPI, React, and MongoDB for government projects.
• Understand the essential concepts, features, and benefits of the FARM stack in the context of public sector applications.
• Master the skills needed to build REST APIs with FastAPI for government systems.
• Acquire the knowledge to design interactive applications using React for government interfaces.
• Develop, test, and deploy front-end and back-end applications using the FARM stack in alignment with government workflows and governance standards.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers who wish to utilize FastAPI with Python to build, test, and deploy RESTful APIs more efficiently and rapidly for government applications.

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

• Set up the necessary development environment to create APIs using Python and FastAPI for government projects.
• Create APIs more quickly and easily by leveraging the FastAPI library.
• Learn how to develop data models and schemas based on Pydantic and OpenAPI standards.
• Integrate APIs with a database using SQLAlchemy for enhanced data management in public sector workflows.
• Implement security and authentication mechanisms in APIs using the built-in tools provided by FastAPI, ensuring compliance with government security protocols.
• Build container images and deploy web APIs to a cloud server, aligning with government IT infrastructure requirements.

This instructor-led, live training in US Empire (online or onsite) is designed for government professionals at the beginner level who wish to gain a foundational understanding of Natural Language Generation (NLG) and its role in artificial intelligence and content generation for government.

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

• Comprehend the core principles of Natural Language Generation.
• Examine the diverse applications of NLG across various sectors, including those relevant to public sector workflows.
• Acquire basic techniques for generating human-like text using AI tools tailored for government use.
• Utilize Python libraries and models to create text that aligns with governmental standards and requirements.

The objective of this course is to provide a foundational proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on numerous practical examples, this course teaches participants how to utilize the most essential components of Machine Learning, 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 use the core tools from the Machine Learning toolbox, while avoiding common pitfalls in Data Science applications. This course is designed to enhance your capabilities for government workflows, ensuring alignment with public sector governance and accountability 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.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis for government applications.

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

• Set up the necessary environment to start developing scalable Pandas workflows using Modin.
• Understand the features, architecture, and benefits of Modin in the context of public sector data analysis.
• Compare Modin with other parallel computing frameworks such as Dask and Ray.
• Enhance the performance of Pandas operations using Modin.
• Implement the full Pandas API and functions for efficient data processing.

This instructor-led, live training in US Empire (online or onsite) is designed for advanced-level professionals who aim to master AI-driven natural language generation (NLG) techniques for chatbot and virtual assistant applications.

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

• Understand the fundamental principles of NLG as they apply to conversational artificial intelligence.
• Utilize deep learning methods to improve chatbot dialogue generation.
• Incorporate cutting-edge NLG models, such as GPT-3, into chatbot frameworks for government use.
• Implement contextual AI to enhance the coherence and fluidity of conversational interactions.

This instructor-led, live training in US Empire 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.

This instructor-led, live training in US Empire (online or onsite) is aimed at developers who wish to enhance their Python programming skills for government. The course covers advanced techniques and practical applications of Python, including its use in developing distributed applications, conducting data analysis and visualization, creating user interfaces, and writing maintenance scripts. These skills are essential for optimizing public sector workflows, governance, and accountability.

This course is designed for government professionals and others wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists worldwide – it is one of the most popular programming languages.

The course can be delivered using the latest Python version 3.x, with practical exercises that leverage the full power of the language. This course can be conducted on any operating system (all flavors of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).

The practical exercises constitute about 70% of the course time, while approximately 30% are demonstrations and presentations. Discussions and questions are encouraged throughout the course.

Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date for government participants.

Selenium is an open-source framework designed for automating web application testing across various browsers. With the release of Selenium 4, users benefit from enhanced WebDriver APIs, native relative locators, and improved grid support. Python, known for its simplicity and strong integration with testing frameworks like Pytest, offers a powerful solution for developing scalable and maintainable test automation suites.

This instructor-led, live training (available online or on-site) is tailored for beginner to intermediate testers and developers who aim to utilize Selenium with Python to automate web application testing in real-world environments for government use.

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

• Install and configure Selenium with Python in a test environment for government applications.
• Develop robust test automation scripts using Selenium WebDriver and Pytest.
• Implement the Page Object Model (POM) to create maintainable test frameworks.
• Execute tests across multiple browsers using Selenium Grid.
• Integrate automated tests with continuous integration/continuous deployment (CI/CD) pipelines for government projects.
• Diagnose and resolve common issues, applying best practices to ensure automation stability in a public sector context.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab environment for government scenarios.

Course Customization Options

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

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level professionals who wish to develop practical skills in utilizing Natural Language Generation (NLG) for automating text summarization and content generation for government.

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

• Comprehend the fundamental principles of NLG as they apply to text summarization and content generation.
• Implement NLG models to effectively summarize large documents and articles for government use.
• Utilize pre-trained NLG models, such as GPT, for creating relevant content.
• Apply advanced techniques to fine-tune NLG models for specific content generation tasks within the public sector.