LLMs for Code Understanding, Refactoring, and Documentation Training Course

This advanced training on Malaysia focuses on GitHub Copilot and AI applications for corporate infrastructure. It provides managers with the skills to optimize project management, streamline workflows, and improve decision-making through AI tools, with a particular emphasis on large-scale projects.

This instructor-led training in Malaysia enables advanced developers to master prompt engineering, fine-tuning, and custom tooling within Cursor. Learners will design precise AI behaviors, integrate internal knowledge bases, and build secure, domain-specific extensions for enterprise workflows.

This instructor-led, live training in Malaysia (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 Malaysia (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.

This instructor-led live training, conducted online or on-site, targets intermediate-level software developers aiming to improve productivity and code quality by leveraging AI-assisted coding with Cursor.

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

• Set up and configure Cursor for AI-assisted software development.
• Connect Cursor with Git repositories and integrate it into existing development workflows.
• Utilize natural language commands to generate, debug, and optimize code.
• Apply AI features to streamline refactoring, documentation, and testing processes.

This live, instructor-led training in Malaysia presents Cursor as an AI-enabled platform to fast-track data and ML operations. Through practical exercises, learners will master streamlining notebook development, ETL pipelines, and model operations to enhance efficiency and operational consistency.

This instructor-led training in Malaysia guides developers in adopting Cursor, an AI-powered editor that enhances productivity through smart completions and contextual edits. Participants will acquire practical skills in refactoring, safely reviewing AI suggestions, and team collaboration to streamline workflows.

This instructor-led, live training in Malaysia helps teams integrate Cursor to streamline collaboration and code reviews. Learn to manage workspaces, automate AI-assisted PRs, enforce governance policies, and connect Cursor to CI/CD pipelines for consistent quality.

This instructor-led, live training in Malaysia (online or onsite) is designed for beginner to intermediate developers who want to learn how to effectively use GitHub Copilot’s capabilities within modern development workflows.

This instructor-led, live training in Malaysia (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 Malaysia (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 Malaysia (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 Malaysia (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.
• Utilise Tabnine for efficient code completion and error correction.
• Create and train custom AI models with Tabnine for specialised tasks.

This instructor-led, live training in Malaysia (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.