Introduction to AI Coding Assistants Training Course

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

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

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

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

Course Format

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

Course Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

Cursor is a sophisticated AI-driven development environment that empowers engineers to extend, fine-tune, and customize its coding intelligence for specialized applications and enterprise workflows.

This instructor-led live training (available online or onsite) is designed for advanced developers and AI engineers who want to create tailored prompt systems, adjust model behavior, and build custom extensions for internal development automation.

Upon completing this training, participants will be able to:

• Design and test sophisticated prompt templates to achieve precise AI responses.
• Connect Cursor to internal APIs and knowledge bases for context-aware code generation.
• Create fine-tuned or domain-adapted AI models for specialized tasks.
• Build and deploy custom tools or adapters to securely extend Cursor’s capabilities.

Course Format

• Technical presentations and guided demonstrations.
• Hands-on development and prompt optimization labs.
• Practical projects integrating Cursor with real-world enterprise systems.

Course Customization Options

• This course can be tailored to align with specific internal architectures, AI frameworks, or security compliance requirements.

This instructor-led, live training in Argentina (online or onsite) is designed for advanced participants who aim to customize GitHub Copilot for team projects, harness its advanced capabilities, and integrate it seamlessly into CI/CD pipelines to improve collaboration and productivity.

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

• Customize GitHub Copilot to fit 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 instructor-led, live training in Argentina (online or onsite) targets developers looking to use GitHub Copilot Agent Mode to autonomously build features, execute 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 standards.

GitHub Copilot is an AI-driven coding assistant designed to automate development tasks, encompassing DevOps operations like crafting YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led live training, available online or onsite, targets beginner to intermediate professionals eager to utilize GitHub Copilot to streamline DevOps tasks, enhance automation, and increase productivity.

Upon completion of this training, participants will be capable of:

• Utilizing GitHub Copilot to support shell scripting, configuration, and CI/CD pipelines.
• Harnessing AI code completion features within YAML files and GitHub Actions.
• Speeding up testing, deployment, and automation workflows.
• Applying Copilot responsibly, with a clear grasp of AI limitations and best practices.

Course Format

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

Course Customization Options

• For a customized training arrangement, please contact us.

This instructor-led live training (available online or on-site) is designed for intermediate-level software developers aiming to enhance productivity and code quality through AI-assisted coding with Cursor.

Upon completing this training, participants will be able to:

• Install and configure Cursor for AI-assisted software development.
• Integrate Cursor with Git repositories and existing development workflows.
• Utilize natural language prompts to generate, debug, and optimize code.
• Harness AI capabilities for refactoring, documentation, and testing.

Cursor serves as an AI-driven development environment that boosts productivity and reliability throughout data and machine learning processes by offering intelligent code generation, context-sensitive suggestions, and efficient documentation tools.

This instructor-led live training, available online or on-site, targets intermediate data and ML professionals looking to incorporate Cursor into their daily routines for quicker prototyping, scalable pipeline development, and enhanced model operations.

Upon completing this course, participants will be equipped to:

• Utilize Cursor to speed up notebook creation and code exploration.
• Generate, refactor, and document ETL and feature engineering pipelines.
• Apply AI-assisted code for model training, tuning, and evaluation.
• Improve reproducibility, collaboration, and operational consistency in ML workflows.

Course Format

• Interactive lectures and demonstrations.
• Practical, hands-on exercises in live coding environments.
• Case studies integrating Cursor with ML pipelines and model ops tools.

Course Customization Options

• This training can be tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organizational MLOps platforms.

Cursor is an intelligent, AI-driven code editor built to amplify developer productivity by offering smart code completions, context-aware edits, and adaptive support.

This instructor-led training session, available either online or in-person, targets beginner developers and engineering teams looking to streamline their coding processes and safely utilize AI suggestions to enhance efficiency.

After completing this course, participants will be able to:

• Install and set up Cursor for maximum effectiveness in development projects.
• Comprehend and utilize AI-assisted code completion, in-editor chat, and refactoring utilities.
• Effectively and securely assess, accept, or adjust AI-generated code suggestions.
• Implement best practices for team onboarding, collaboration, and version control integration.

Course Structure

• Interactive lectures and discussions.
• Practical demonstrations and guided exercises.
• Real-world coding challenges and hands-on lab practice using Cursor.

Customization Possibilities

• The course can be customized to align with the specific programming languages or frameworks utilized by your team.

Cursor is an AI-powered development environment that enhances team collaboration, automates code reviews, and integrates seamlessly into modern CI/CD workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level technical professionals who wish to integrate Cursor into their team environments to improve collaboration, streamline reviews, and maintain quality across automated pipelines.

Upon completing this training, participants will be able to:

• Set up and manage team environments in Cursor for collaborative development.
• Leverage AI tools for automated code reviews, pull request generation, and merge validation.
• Implement code governance, review policies, and security guardrails using Cursor’s capabilities.
• Integrate Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.

Format of the Course

• Instructor-led presentations and team-based discussions.
• Hands-on labs using real-world team collaboration scenarios.
• Live integration exercises with CI/CD and version control tools.

Course Customization Options

• The course can be adapted to specific CI/CD platforms, repository tools, or enterprise security requirements.

This instructor-led, live training in Argentina (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to learn how to utilize the capabilities of GitHub Copilot effectively within modern development workflows.

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

Upon completion of this training, participants will be capable of:

• Configuring GitHub Copilot for team-based environments.
• Employing Copilot to improve collaborative coding practices.
• Enhancing team workflows through Copilot’s capabilities.
• Overseeing Copilot’s integration in projects involving multiple developers.
• Preserving consistent code quality and standards across teams.
• Utilizing advanced Copilot features tailored to team-specific requirements.
• Integrating Copilot with other collaborative tools for greater efficiency.

This instructor-led, live training in Argentina (online or onsite) is aimed at beginner-level developers who wish to increase their coding efficiency with the help of Tabnine.

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

• Install and set up Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to speed up coding.
• Customize Tabnine's settings for optimal assistance.
• Understand how Tabnine's AI learns from their code to provide better suggestions.

This instructor-led live training in Argentina (online or onsite) is designed for advanced-level developers and team leads who wish to master the advanced features of Tabnine.

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

• Implement Tabnine in complex software projects.
• Customize and train Tabnine's AI models for specific use cases.
• Integrate Tabnine into team workflows and development pipelines.
• Enhance code quality and accelerate development cycles using Tabnine's insights.

This instructor-led, live training session (available online or onsite) is designed for developers from beginner to expert levels who aim to leverage AI for code generation with Tabnine.

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

• Understand the core principles of AI-powered code generation.
• Install and configure Tabnine in their development environment.
• Utilize Tabnine for efficient code completion and error correction.
• Create and train custom AI models with Tabnine for specialized tasks.

This instructor-led live training in Argentina (online or onsite) is designed for intermediate Python developers and data scientists who want to improve their productivity using Tabnine.

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

• Install and configure Tabnine in their Python development environment.
• Use Tabnine's autocomplete features to write Python code more efficiently.
• Customize Tabnine's behavior to fit their coding style and project needs.
• Understand how Tabnine's AI model works specifically with Python code.