AI Coding Assistants Training in Tashkent

GitHub Copilot is an AI-powered code completion tool designed to accelerate development while enhancing quality and productivity. When combined with Artificial Intelligence applications in projects, infrastructure, and software, managers can leverage AI to optimize resource allocation, streamline workflows, and improve decision-making.

This instructor-led, live training (available online or onsite) is tailored for advanced-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI applications in corporate environments, with examples relevant to large-scale projects and industries such as oil and gas.

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

• Apply advanced Copilot functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows for maximum efficiency.
• Leverage AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to improve planning, estimation, and time optimization.
• Recognize practical AI applications in industry-specific scenarios such as oil and gas.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises and real-world case studies.
• Live lab demonstrations of AI tools and Copilot workflows.

Customisation Options for the Course

• To request a customised training session for this course, please contact us to arrange.

GitHub Copilot is an artificial intelligence-driven coding assistant designed to automate various development tasks, including critical DevOps operations such as crafting YAML configurations, managing GitHub Actions, and developing deployment scripts.

This instructor-led live training, available both online and on-site, is tailored for beginner to intermediate professionals eager to utilize GitHub Copilot to streamline DevOps workflows, enhance automation capabilities, and significantly boost productivity.

Upon completing this training, participants will be equipped to:

• Utilize GitHub Copilot to support shell scripting, configuration management, and CI/CD pipelines.
• Harness AI-driven code completion features within YAML files and GitHub Actions.
• Accelerate processes related to testing, deployment, and automation workflows.
• Apply Copilot responsibly by understanding its limitations and adhering to industry best practices.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training arrangements, please reach out to us to coordinate your specific needs.

This instructor-led live training in Tashkent (online or on-site) is designed for intermediate to advanced participants seeking to optimize team workflows, enhance collaborative coding practices, and manage Copilot usage effectively in multi-developer environments.

Upon completing this training, participants will be able to:

• Configure GitHub Copilot for team environments.
• Apply Copilot to strengthen collaborative coding practices.
• Streamline team workflows using Copilot’s capabilities.
• Oversee Copilot’s integration within multi-developer projects.
• Ensure consistent code quality and standards across all teams.
• Utilize advanced Copilot features tailored to specific team requirements.
• Integrate Copilot with other collaborative tools to boost efficiency.

This instructor-led, live training in Tashkent (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 Tashkent (available online or on-site) is designed for intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, enhance UI/UX design, and streamline front-end development workflows.

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

• Set up GitHub Copilot for front-end development projects.
• Utilize Copilot to generate HTML, CSS, and JavaScript code efficiently.
• Improve UI/UX design processes by incorporating AI-generated code suggestions.
• Optimize front-end workflows through practical Copilot integration strategies.
• Troubleshoot and debug front-end code with the assistance of Copilot.

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

This live, instructor-led training (available online or onsite) targets intermediate-level data and ML professionals looking to integrate Cursor into their daily workflows to accelerate prototyping, build scalable pipelines, and improve model operations.

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

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

Course Format

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

Course Customization Options

• This training can be tailored to specific frameworks such as TensorFlow, PyTorch, or scikit-learn, or to organizational MLOps platforms.

This instructor-led, live training in Tashkent (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 is a platform designed to enhance developer productivity and streamline code reviews by optimizing pull request workflows, fostering better team collaboration, and seamlessly integrating with tools like GitHub and AI-powered code review assistants.

This instructor-led live training, available both online and onsite, targets intermediate-level software engineering teams looking to refine their development workflows, boost review efficiency, and effectively deploy Graphite within their enterprise DevOps pipelines.

Upon completion of this training, participants will be capable of:

• Deploying and configuring Graphite for large-scale enterprise development environments.
• Automating pull request management and enhancing code review throughput.
• Integrating Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Assessing developer productivity using Graphite’s analytics and dashboards.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For a customized training session tailored to your needs, please reach out to us to arrange it.

Cursor is an advanced AI-powered development environment that enables engineers to extend, fine-tune, and customize its coding intelligence for specialized use cases and enterprise workflows.

This instructor-led, live training (available online or on-site) is designed for advanced-level developers and AI engineers who aim to design tailored prompt systems, fine-tune model behavior, and build custom extensions for internal development automation.

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

• Design and test advanced prompt templates to achieve precise AI behavior.
• Connect Cursor to internal APIs and knowledge bases for context-aware code generation.
• Develop fine-tuned or domain-adapted AI models for specialized 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.

Course 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 Tashkent (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 Tashkent (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 is an emerging paradigm where developers collaborate with large language models to generate, refine, and optimise code through natural language interactions.

This instructor-led, live training (online or on-site) is aimed at intermediate-level developers and technical leads who wish to master the use of AI coding assistants and open-source LLMs to improve productivity, creativity, and workflow automation.

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

• Understand the principles and philosophy of vibe coding and its impact on software development.
• Implement LLM-assisted coding environments using tools such as 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.
• Abundant exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

Cursor is an intelligent, AI-driven development environment designed to boost team collaboration, automate code reviews, and seamlessly integrate with modern CI/CD pipelines.

This instructor-led live training, available online or on-site, targets intermediate-level technical professionals seeking to implement Cursor within their teams. The course focuses on improving collaboration efficiency, streamlining review processes, and ensuring quality standards across automated workflows.

After completing this training, participants will be equipped to:

• Configure and manage team workspaces in Cursor to support collaborative development.
• Utilize AI tools for automated code reviews, pull request creation, and merge validation.
• Establish code governance, review policies, and security guidelines using Cursor’s features.
• Connect Cursor with CI/CD systems to uphold continuous delivery and consistent quality benchmarks.

Course Format

• Instructor-led lectures combined with collaborative team discussions.
• Practical labs based on real-world team collaboration scenarios.
• Live exercises focusing on integration with CI/CD and version control tools.

Customization Options

• The curriculum can be tailored to specific CI/CD platforms, repository management tools, or enterprise security needs.

This instructor-led, live training in Tashkent (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 Tashkent (online or onsite) is aimed at intermediate-level participants who wish to leverage GitHub Copilot to handle advanced coding use cases, improve productivity, and integrate Copilot into their development workflows.

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

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

This instructor-led, live training in Tashkent (online or onsite) is designed for advanced-level developers and team leads who aim to master the advanced capabilities of Tabnine.

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

• Implement Tabnine within 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 by leveraging Tabnine's insights.

This instructor-led, live training in Tashkent (online or onsite) targets beginner to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.

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

• Grasp the role and capabilities of AI coding assistants in software development.
• Leverage various AI coding assistant tools to automate routine coding tasks.
• Integrate AI coding assistants into their software development lifecycle.
• Boost their productivity and concentrate on more complex and creative programming tasks.
• Navigate ethical considerations and the responsible use of AI in software development.

Cursor is an AI-powered code editor designed to enhance developer productivity through intelligent code completions, contextual edits, and adaptive assistance.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers and engineering teams who wish to streamline their coding workflow and safely leverage AI suggestions for improved efficiency.

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

• Install and configure 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.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Tashkent (online or on-site) is aimed at beginner-level developers who wish 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 Tashkent (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.

This instructor-led, live training in Tashkent (online or on-site) is designed for beginners who wish to understand AI coding assistants, their capabilities, how they can improve the development process, and the ethical considerations involved in 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:

• Install and configure Cursor for AI-assisted software development.
• Integrate Cursor with Git repositories and development workflows.
• Use natural language to generate, debug, and optimize code.
• Leverage AI capabilities for refactoring, documentation, and testing.

This instructor-led, live training in Tashkent (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to learn how to utilise the capabilities of GitHub Copilot effectively within modern development workflows.

This instructor-led, live training in Tashkent (online or onsite) is designed for beginner developers who want to enhance 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.
• Use Tabnine's autocomplete features to accelerate coding.
• Adjust Tabnine's settings for maximum assistance.
• Understand how Tabnine's AI learns from their code to offer better suggestions.

This instructor-led, live training (Tashkent online or onsite) is aimed at 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 instructor-led, live training in Tashkent (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.