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

This advanced training in the Netherlands explores GitHub Copilot and AI applications for corporate infrastructure. It empowers managers to optimize project management, streamline workflows, and strengthen decision-making through AI tools, with a specific focus on large-scale projects.

This instructor-led training in the Netherlands equips advanced developers to master prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will learn to design precise AI behaviors, integrate internal knowledge bases, and build secure, domain-adapted extensions for enterprise workflows.

This instructor-led live training in the Netherlands (online or on-site) is designed for advanced participants who wish to customize GitHub Copilot for team projects, leverage its advanced features, and integrate it seamlessly into CI/CD pipelines to enhance 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 the Netherlands (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.

This live, instructor-led training (online or onsite) is tailored for intermediate software developers looking to elevate their productivity and code standards by leveraging AI-assisted coding with Cursor.

Upon completion of the training, participants will be equipped to:

• Set up and configure Cursor for AI-enhanced software development.
• Connect Cursor to Git repositories and integrate it into existing development pipelines.
• Utilize natural language processing to generate, debug, and optimize code.
• Apply AI features for effective refactoring, documentation creation, and testing.

This instructor-led training in the Netherlands presents Cursor as an AI-powered environment to accelerate data and ML workflows. Participants will learn to optimise notebook development, ETL pipelines, and model operations through practical exercises that enhance productivity and operational consistency.

This instructor-led session in the Netherlands guides developers in adopting Cursor, an AI-driven editor that enhances productivity through smart completions and contextual edits. Participants develop practical skills in refactoring, securely reviewing AI suggestions, and fostering team collaboration to streamline their workflows.

This live, instructor-led training in the Netherlands supports teams in adopting Cursor to optimize collaboration and code review processes. Participants will learn to manage workspaces, automate AI-assisted pull requests, enforce governance policies, and link Cursor to CI/CD pipelines to maintain consistent quality.

This instructor-led, live training in the Netherlands (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 the Netherlands (online or onsite) is aimed at intermediate-level to advanced-level participants who wish 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 in the Netherlands (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 the Netherlands (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 the Netherlands (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 the Netherlands (online or onsite) is designed for 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.