Using Copilot and Python for Industrial Automation Applications Training Course

GitHub Copilot is an AI-driven code completion tool designed to boost development speed while enhancing quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software, managers can utilize AI to optimize resource allocation, streamline workflows, and improve decision-making.

This instructor-led live training, available online or onsite, targets advanced-level managers seeking to deepen their understanding of GitHub Copilot while exploring practical AI applications in corporate settings, featuring examples relevant to large-scale projects and industries such as oil and gas.

Upon completing this training, participants will be able to:

• Apply advanced Copilot functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows for maximum efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to improve planning, estimation, and time optimization.
• Recognize practical AI applications in industry-specific scenarios such as oil and gas.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises and case studies.
• Live-lab demonstrations of AI tools and Copilot workflows.

Course Customization Options

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

This live, instructor-led training in Mexico (online or on-site) is aimed at advanced-level participants who wish to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.

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

• Customize GitHub Copilot for specific project needs and team workflows.
• Leverage advanced features of Copilot for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration using AI-powered tools.
• Manage and troubleshoot Copilot settings and permissions effectively.

This practical, hands-on workshop introduces participants to AI agents within Microsoft 365 Copilot, showing them how to create their own simple agents without writing code or using extra tools.

Participants will examine Microsoft-created agents like Researcher and Analyst, gain insight into how AI agents function in a business setting, and learn to design and utilize their own agents by leveraging structured prompts and workflows in Copilot.

Focusing on real-world scenarios, the course empowers participants to automate routine tasks, boost productivity, and develop reusable AI assistants that are easily shared among team members.

By the end of this session, participants will have constructed their own AI agent and will be equipped to apply this methodology in their everyday work.

This instructor-led, live training in Mexico (online or onsite) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.

GitHub Copilot is an AI-driven coding assistant designed to automate development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (available online or onsite) targets beginner to intermediate-level professionals who want to use GitHub Copilot to streamline DevOps tasks, improve automation, and boost productivity.

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

• Use GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
• Leverage AI code completion in YAML files and GitHub Actions.
• Accelerate testing, deployment, and automation workflows.
• Apply Copilot responsibly with an understanding of AI limitations and best practices.

Format of the Course

• Interactive lecture and discussion.
• Lots of 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 in Mexico (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, offered online or on-site, targets developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

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

• Set up the required development environment integrating FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led, live training in Mexico (online or in-person) is designed for developers who want to utilize FastAPI with Python to build, test, and deploy RESTful APIs more efficiently and quickly.

Upon completing this training, participants will be able to:

• Configure the necessary development environment for building APIs with Python and FastAPI.
• Develop APIs more quickly and easily using the FastAPI library.
• Understand how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to databases using SQLAlchemy.
• Implement security and authentication features in APIs using FastAPI tools.
• Create container images and deploy web APIs to cloud servers.

This instructor-led live training in Mexico (online or onsite) is designed for beginner to intermediate-level developers who wish to learn how to effectively utilize GitHub Copilot within modern development workflows.

This instructor-led, live training in Mexico (online or onsite) targets intermediate to advanced participants who want to optimize team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.

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

• Set up GitHub Copilot for team environments.
• Utilize Copilot to enhance collaborative coding practices.
• Optimize team workflows using Copilot’s features.
• Manage Copilot’s integration in multi-developer projects.
• Maintain consistent code quality and standards across teams.
• Leverage advanced Copilot features for team-specific needs.
• Combine Copilot with other collaborative tools for efficiency.

This instructor-led, live training conducted in Mexico (online or onsite) targets intermediate QA engineers, developers, and team leads who want to use GitHub Copilot to achieve more efficient debugging, higher code quality, and streamlined code reviews.

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

• Configure GitHub Copilot for debugging and code review.
• Identify and fix bugs efficiently with Copilot.
• Elevate code quality using AI-assisted recommendations.
• Optimize code review workflows with Copilot's capabilities.
• Collaborate effectively in team settings using Copilot.

This instructor-led, live training in Mexico (online or onsite) is aimed at intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.

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

• Set up GitHub Copilot for front-end development projects.
• Leverage Copilot to generate HTML, CSS, and JavaScript code efficiently.
• Improve UI/UX design processes using AI-generated code suggestions.
• Enhance front-end workflows with practical Copilot integration strategies.
• Troubleshoot and debug front-end code using Copilot assistance.

This instructor-led, live training in Mexico (online or onsite) targets beginner to intermediate Python developers looking to harness GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.

Upon completing this training, participants will be able to:

• Set up and configure GitHub Copilot for Python development.
• Leverage Copilot to write efficient Python code.
• Debug Python applications using AI-generated suggestions.
• Automate repetitive coding tasks and improve workflow efficiency.
• Utilize Copilot for implementing machine learning projects in Python.

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate-level participants who wish to leverage GitHub Copilot to handle advanced coding scenarios, improve productivity, and integrate Copilot into their development workflows.

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

• Optimize their use of GitHub Copilot for advanced coding tasks.
• Write code that is more efficient, less error-prone, and easier to maintain using Copilot’s suggestions.
• Integrate GitHub Copilot into their preferred IDEs and development workflows.
• Utilize Copilot for debugging and refactoring code.
• Understand the limitations and ethical implications of using AI-powered coding tools.

This instructor-led, live training in Mexico (online or in-person) targets beginner-level developers interested in mastering GitHub Copilot’s capabilities, setting it up, and applying it effectively to elevate their coding experience.

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

• Understand the concept and functionality of GitHub Copilot.
• Install and configure GitHub Copilot on a supported code editor.
• Utilize GitHub Copilot to accelerate the writing, refactoring, and debugging of code.
• Use Copilot to explore various coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into everyday workflows.