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

This advanced training in Vietnam explores GitHub Copilot and AI applications within corporate infrastructure. It empowers managers with the skills necessary to optimize project management, streamline workflows, and improve decision-making through AI tools, with a particular focus on large-scale project delivery.

This instructor-led training in Vietnam empowers 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 live, instructor-led training conducted in Vietnam (online or on-site) targets advanced learners who aim to customize GitHub Copilot for team projects, exploit its advanced features, and integrate it smoothly into CI/CD pipelines to improve collaboration and productivity.

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

• Adapt GitHub Copilot to meet specific project needs and team workflows.
• Apply advanced Copilot features for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration through AI-powered tools.
• Effectively manage and troubleshoot Copilot settings and permissions.

This instructor-led, live training in Vietnam (online or onsite) is designed for developers who want 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, available online or onsite, is specifically tailored for intermediate software developers aiming to enhance productivity and code quality through AI-assisted coding with Cursor.

Upon completion, participants will be proficient in the following areas:

• Installing and configuring Cursor for AI-driven software development.
• Integrating Cursor with Git repositories and established development workflows.
• Leveraging natural language to generate, debug, and optimize code.
• Utilizing AI capabilities to streamline refactoring, documentation, and testing.

This instructor-led training in Vietnam presents Cursor as an AI-enabled environment to expedite data and ML operations. Learners will discover how to optimize notebook development, ETL pipelines, and model management through practical tasks that improve both productivity and operational standardization.

This instructor-led training in Vietnam enables developers to adopt Cursor, an AI-powered editor that enhances productivity through intelligent completions and contextual edits. Participants acquire hands-on expertise in refactoring, safely reviewing AI suggestions, and team collaboration to optimize their workflows.

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

This instructor-led, live training in Vietnam (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 Vietnam (online or onsite) targets intermediate to advanced participants seeking 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 able to:

• Configure GitHub Copilot for team environments.
• Employ Copilot to strengthen collaborative coding practices.
• Optimize team workflows leveraging Copilot’s features.
• Oversee Copilot’s integration within multi-developer projects.
• Sustain consistent code quality and standards across teams.
• Harness advanced Copilot features for specific team requirements.
• Integrate Copilot with other collaborative tools to boost efficiency.

This instructor-led live training session, available Vietnam (online or onsite), is designed for beginner-level developers aiming to improve their coding efficiency using Tabnine.

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

• Install and configure Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to accelerate coding tasks.
• 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 Vietnam (online or onsite) is designed for advanced-level developers and team leads who aim to master Tabnine's advanced features.

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 Vietnam (online or on-site) 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 Vietnam (online or on-site) is designed for intermediate-level Python developers and data scientists seeking to increase their productivity through Tabnine.

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

• Install and configure Tabnine in their Python development environment.
• Utilize Tabnine's autocomplete features to write Python code more efficiently.
• Customize Tabnine’s behavior to suit their coding style and project needs.
• Understand how Tabnine's AI model specifically handles Python code.