Building Your Own Small Tools with AI, No Programming Needed Training Course

This advanced programme on Portugal focuses on GitHub Copilot and AI applications for corporate infrastructure. It prepares managers with the necessary skills to enhance project management, refine workflows, and improve decision-making through AI tools, with a specific emphasis on large-scale project environments.

This instructor-led training in Portugal empowers advanced developers to master prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will learn to define precise AI behaviours, integrate internal knowledge bases, and create secure, domain-adapted extensions for enterprise workflows.

This instructor-led, live training in Portugal (online or onsite) 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 instructor-led, live training in Portugal (online or onsite) is aimed at developers who wish to use GitHub Copilot Agent Mode to build features autonomously, 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.

Delivered live by an instructor (either online or on-site), this training is tailored for intermediate software developers seeking to improve productivity and code quality by employing AI-assisted coding with Cursor.

By the end of the program, learners will be capable of:

• Installing and configuring Cursor for AI-assisted development tasks.
• Integrating Cursor into Git repositories and daily development routines.
• Using natural language commands to generate, troubleshoot, and refine code.
• Harnessing AI capabilities for refactoring, creating documentation, and conducting tests.

This instructor-led session in Portugal introduces Cursor as an AI-driven environment for accelerating data and ML workflows. Participants will learn to optimise notebook development, ETL pipelines, and model operations through practical exercises that enhance both productivity and operational consistency.

This instructor-led session on Portugal guides developers in adopting Cursor, an AI-enabled editor that enhances productivity through intelligent completions and contextual editing. Participants will develop practical skills in refactoring, secure review of AI suggestions, and team collaboration to refine their workflows.

This live, instructor-led training in Portugal assists teams in integrating Cursor to optimise collaboration and code reviews. Participants will learn to manage workspaces, automate AI-assisted PRs, enforce governance policies, and link Cursor to CI/CD pipelines to ensure consistent quality.

This instructor-led, live training in Portugal (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 Portugal (online or on-site) targets intermediate to advanced participants looking to optimise 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 in Portugal (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 Portugal (online or onsite) is aimed at advanced-level developers and team leads who wish to master 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 in Portugal (online or onsite) is aimed at developers ranging from novices to experts who wish to leverage AI for code generation with Tabnine.

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

• Understand the basics 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 Portugal (online or onsite) is aimed at intermediate-level Python developers and data scientists who wish to boost their productivity with the help of 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.