AI Coding Assistants Training in Nepal

GitHub Copilot is an AI-driven code completion assistant designed to boost development speed while enhancing code quality and overall productivity. When integrated with Artificial Intelligence applications in projects, infrastructure, and software systems, managers can harness AI to optimize resource distribution, streamline operational workflows, and strengthen decision-making processes.

This instructor-led live training, available online or onsite, targets advanced-level managers seeking to deepen their expertise in GitHub Copilot and explore practical AI applications within corporate settings. The curriculum includes examples pertinent to large-scale projects and sectors such as the oil and gas industry.

Upon completing this training, participants will be equipped to:

• Utilize advanced Copilot capabilities in large-scale corporate projects.
• Embed Copilot into multidisciplinary workflows to maximize efficiency.
• Leverage AI tools to enhance project management, infrastructure, and software procurement.
• Deploy AI-based strategies to refine planning, estimation, and time management.
• Identify practical AI applications in industry-specific contexts like oil and gas.

Course Format

• Interactive lectures and discussions.
• Practical exercises and case studies.
• Live laboratory demonstrations of AI tools and Copilot workflows.

Course Customization Options

• To arrange a customized training session for this course, please get in touch with us.

GitHub Copilot acts as an AI-powered coding assistant designed to automate development tasks, including critical DevOps operations such as creating YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level professionals who aim to utilize GitHub Copilot to streamline DevOps tasks, enhance automation, and boost overall productivity.

By the conclusion of this training, participants will be equipped to:

• Utilize GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
• Harness AI code completion features within YAML files and GitHub Actions.
• Accelerate testing, deployment, and automation workflows.
• Apply Copilot responsibly by understanding AI limitations and adhering to best practices.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and hands-on practice.
• Practical implementation within a live-lab environment.

Customization Options

• For tailored training requirements for this course, please reach out to us to arrange a session.

This instructor-led, live training in Nepal (online or onsite) is designed for intermediate to advanced participants who aim to optimize team workflows, improve collaborative coding practices, and effectively manage Copilot usage in multi-developer settings.

Upon completing this training, participants will be capable of:

• Configuring GitHub Copilot for team environments.
• Using Copilot to strengthen collaborative coding practices.
• Optimizing team workflows through Copilot’s capabilities.
• Managing Copilot’s integration within multi-developer projects.
• Ensuring consistent code quality and standards across teams.
• Leveraging advanced Copilot features tailored to team-specific requirements.
• Integrating Copilot with other collaborative tools for enhanced efficiency.

This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level QA engineers, developers, and team leads who wish to leverage GitHub Copilot for more efficient debugging, code quality enhancement, and streamlined code review.

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

• Set up GitHub Copilot for debugging and code review purposes.
• Use Copilot to identify and resolve bugs efficiently.
• Enhance code quality with AI-assisted suggestions.
• Streamline code review processes with Copilot's capabilities.
• Collaborate effectively using Copilot in team environments.

This instructor-led, live training in Nepal (online or on-site) targets intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.

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

• Set up GitHub Copilot for front-end development projects.
• Leverage Copilot to generate HTML, CSS, and JavaScript code efficiently.
• Improve UI/UX design processes using AI-generated code suggestions.
• Enhance front-end workflows with practical Copilot integration strategies.
• Troubleshoot and debug front-end code using Copilot assistance.

Cursor is an AI-driven development environment designed to boost productivity and reliability within data and machine learning workflows. It achieves this through intelligent code generation, context-aware suggestions, and streamlined documentation processes.

This instructor-led training, available both online and onsite, is targeted at intermediate-level data and ML professionals who aim to incorporate Cursor into their daily routines. The goal is to facilitate faster prototyping, scalable pipeline development, and enhanced model operations.

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

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

Course Format

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

Course Customization Options

• This training can be customized to align with specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to suit your organization's MLOps platforms.

This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level to intermediate-level Python developers who wish to leverage GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.

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

• Set up and configure GitHub Copilot for Python development.
• Leverage Copilot to write efficient Python code.
• Debug Python applications using AI-generated suggestions.
• Automate repetitive coding tasks and improve workflow efficiency.
• Utilize Copilot for implementing machine learning projects in Python.

Graphite serves as a robust platform for developer productivity and code reviews, designed to optimize pull request processes, foster better team collaboration, and seamlessly connect with tools like GitHub and AI-powered code review assistants.

This instructor-led training, available both online and on-site, is tailored for intermediate-level software engineering teams looking to streamline their development workflows, boost review efficiency, and effectively adopt Graphite within enterprise DevOps pipelines.

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

• Deploy and configure Graphite to support enterprise-scale development environments.
• Automate pull request management and significantly improve code review throughput.
• Integrate Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Track and measure developer productivity using Graphite’s advanced analytics and dashboards.

Course Delivery Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• For customized training needs, please contact us to arrange a tailored session.

Cursor is a sophisticated AI-powered development environment that empowers engineers to extend, fine-tune, and customize its coding intelligence to meet specialized use cases and enterprise workflows.

This instructor-led live training (available online or onsite) is designed for advanced developers and AI engineers who aim to craft tailored prompt systems, refine model behaviour, and construct custom extensions for internal development automation.

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

• Design and test sophisticated prompt templates to ensure precise AI behaviour.
• Connect Cursor to internal APIs and knowledge bases to enable context-aware code generation.
• Develop fine-tuned or domain-adapted AI models tailored for specific tasks.
• Build and deploy custom tools or adapters that securely extend Cursor’s functionality.

Course Format

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

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 Nepal (online or onsite) is designed for 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 Nepal (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.

Vibe coding represents an emerging paradigm where developers partner with large language models to generate, refine, and optimize code through natural language interactions.

This instructor-led live training, available online or onsite, is designed for intermediate-level developers and technical leads who aim to master the use of AI coding assistants and open-source LLMs to boost productivity, creativity, and workflow automation.

Upon completing this training, participants will be able to:

• Grasp the principles and philosophy of vibe coding and understand its impact on software development.
• Set up LLM-assisted coding environments using tools like Replit, DeepSeek, LlaMA, Qwen, Mistral, and GitHub Copilot.
• Design and execute prompt engineering strategies for effective AI collaboration.
• Integrate vibe coding workflows into enterprise CI/CD pipelines and governance frameworks.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Cursor is an AI-driven development environment designed to boost team collaboration, automate code reviews, and integrate effortlessly into contemporary CI/CD workflows.

This instructor-led live training (available online or onsite) is tailored for intermediate-level technical professionals aiming to embed Cursor into their team environments to improve collaboration, streamline review processes, and uphold 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 Nepal (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.

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

• Understand the capabilities and limitations of DeepSeek Coder.
• Generate high-quality code snippets using AI assistance.
• Utilize DeepSeek Coder for debugging and optimizing code.
• Automate repetitive programming tasks using AI tools.

This instructor-led live training in Nepal (online or onsite) is designed for intermediate-level participants who want to utilise GitHub Copilot to manage complex coding use cases, boost productivity, and seamlessly integrate Copilot into their development workflows.

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

• Optimise their utilisation of GitHub Copilot for advanced coding tasks.
• Write more efficient, error-free, and maintainable code using Copilot suggestions.
• Integrate GitHub Copilot into their preferred IDEs and workflows.
• Utilise Copilot for debugging and code refactoring.
• Understand the limitations and ethical considerations of using AI-powered coding tools.

This instructor-led, live training in Nepal (online or at your premises) targets advanced developers and team leads keen on mastering the advanced features of Tabnine.

By the conclusion 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 Nepal (online or onsite) is designed for beginner to intermediate software developers who wish to integrate AI coding assistants into their development workflow.

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

• Understand the role and capabilities of AI coding assistants in software development.
• Utilize various AI coding assistant tools to automate routine coding tasks.
• Integrate AI coding assistants into their software development lifecycle.
• Enhance their productivity and focus on more complex and creative programming tasks.
• Address ethical considerations and responsible use of AI in software development.

Cursor is an AI-driven code editor built to improve developer productivity through smart code completions, context-aware edits, and adaptive support.

This instructor-led training, available online or onsite, targets beginner-level developers and engineering teams looking to streamline their coding workflows and safely harness AI suggestions for better efficiency.

After completing this training, participants will be able to:

• Install and set up Cursor for optimal use in development projects.
• Understand and apply AI-assisted code completion, in-editor chat, and refactoring tools.
• Evaluate, accept, or modify AI-generated code suggestions effectively and securely.
• Adopt best practices for team onboarding, collaboration, and version control integration.

Course Format

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

Customization Options

• This course can be tailored to specific programming languages or frameworks used by your team.

This instructor-led, live training in Nepal (online or onsite) is designed for beginner-level developers who want to understand GitHub Copilot's capabilities, set it up, and use it effectively to enhance their coding experience.

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

• Understand what GitHub Copilot is and how it works.
• Set up GitHub Copilot with a supported code editor.
• Use GitHub Copilot to write, refactor, and debug code faster.
• Leverage Copilot to explore coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into daily workflows.

This instructor-led, live training in Nepal (online or onsite) is designed for intermediate-level Python developers and data scientists who wish to boost their productivity with the help of Tabnine.

Upon completing 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.

This instructor-led, live training in Nepal (online or onsite) is aimed at beginner-level participants who wish to understand AI coding assistants, their capabilities, how they can enhance the development process, and the ethical considerations surrounding their use.

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

• Understand the purpose and capabilities of AI coding assistants.
• Identify different AI coding assistant tools and their features.
• Utilize AI coding assistants for basic coding tasks.
• Address basic ethical considerations and responsible use of AI in development.

This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers who wish to boost productivity and code quality using AI-assisted coding with Cursor.

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

• Set up and configure Cursor for AI-assisted software development.
• Connect Cursor with Git repositories and integrate it into development workflows.
• Utilise natural language inputs to generate, debug, and optimise code.
• Harness AI capabilities for refactoring, documentation, and testing tasks.

This instructor-led, live training in Nepal (online or onsite) is designed for beginner 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 Nepal (online or onsite) is tailored for beginner-level developers aiming to boost their coding efficiency with Tabnine.

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

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

This instructor-led, live training session Nepal (offered online or onsite) is designed for developers looking to utilize GitHub Copilot Agent Mode for autonomous feature development, automated testing, and managing larger coding assignments.

By the conclusion 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 frameworks.

This instructor-led live training in Nepal (online or onsite) is aimed at developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.

By the end of this training, participants will be able to use Cascade for navigation, execute terminal commands inside the editor, leverage predictive edits, and customize Windsurf for proprietary stacks.