AI for Software Development Training in Uzbekistan

GitHub Copilot is an AI-powered code completion tool designed to speed up development while enhancing quality and productivity. When combined with artificial intelligence applications in projects, infrastructure, and software, managers can utilize AI to optimize resource allocation, streamline workflows, and enhance decision-making processes.

This instructor-led, live training (available online or onsite) is tailored for advanced-level managers who wish to deepen their understanding of GitHub Copilot while exploring practical AI applications in corporate settings. The course includes 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 optimal efficiency.
• Utilize AI tools to optimize project management, infrastructure, and software acquisition.
• Implement AI-based strategies to improve planning, estimation, and time optimization.
• Identify practical AI applications in industry-specific scenarios such as oil and gas.

Format of the Course

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

Course Customization Options

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

Artificial Intelligence (AI) is a set of technologies that enable machines and applications to simulate human intelligence, making software smarter and more adaptive.

This instructor-led, live training (available both online and on-site) is designed for intermediate-level developers who want to create AI-powered applications using real-world tools and platforms.

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

• Grasp fundamental AI and machine learning concepts.
• Develop AI features using Python and popular libraries.
• Apply AI techniques to real-world software development projects.
• Evaluate models and deploy intelligent services.

Format of the Course

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

Course Customization Options

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

GitHub Copilot is an AI-driven coding assistant designed to automate various development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (available both online and onsite) is tailored for professionals at the beginner to intermediate level who are looking to leverage GitHub Copilot to streamline their DevOps tasks, enhance automation, and increase productivity.

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

• Utilize GitHub Copilot to assist with shell scripting, configuration management, and CI/CD pipelines.
• Take advantage of AI-driven code completion in YAML files and GitHub Actions.
• Speed up testing, deployment, and automation workflows.
• Use Copilot effectively while being aware of its limitations and best practices.

Format of the Course

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

Course Customization Options

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

Huawei Ascend is a range of AI processors designed for efficient inference and high-performance training.

This instructor-led, live training (available online or onsite) is targeted at intermediate-level AI engineers and data scientists who aim to develop and optimize neural network models using Huawei’s Ascend platform and the CANN toolkit.

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

• Set up and configure the CANN development environment effectively.
• Develop AI applications leveraging MindSpore and CloudMatrix workflows.
• Enhance performance on Ascend NPUs through the use of custom operators and tiling techniques.
• Deploy models to edge or cloud environments seamlessly.

Format of the Course

• Interactive lecture and discussion sessions.
• Practical hands-on use of Huawei Ascend and the CANN toolkit in sample applications.
• Guided exercises focused on building, training, and deploying models.

Course Customization Options

• For a customized training tailored to your infrastructure or datasets, please contact us to arrange.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level software professionals who wish to leverage AI and machine learning to improve efficiency and innovation in software development.

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

• Understand the role of AI and machine learning in automating software development tasks.
• Implement AI tools to generate code, tests, and documentation.
• Apply AI techniques for code optimization, quality assurance, and debugging.
• Integrate AI into the DevOps and CI/CD pipelines for improved deployment strategies.
• Address ethical considerations and challenges in AI-augmented software engineering.

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

Course Customization Options

Format of the Course

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

Prompt Engineering for Software Development is a practical course designed to equip developers with the skills to create effective prompts that enhance the usefulness, precision, and safety of AI-generated outputs in software engineering tasks.

This instructor-led, live training (available both online and on-site) targets intermediate-level developers who want to incorporate prompt engineering techniques into their use of AI coding assistants, code analyzers, and intelligent automation tools.

• Develop precise prompts for generating, reviewing, and optimizing code.
• Utilize prompt chaining and refinement to enhance AI responses in iterative workflows.
• Generate structured outputs such as test cases, SQL queries, and documentation from minimal input.
• Mitigate hallucination and gain better control over LLM behavior in technical environments.

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

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

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

Responsible AI in Software Development is a foundational course that delves into the ethical, legal, and governance aspects of integrating AI tools into the software development process. The course highlights transparency, fairness, intellectual property issues, and the safe deployment of AI-generated code.

This instructor-led, live training (available both online and onsite) is designed for beginner-level technical and non-technical professionals who want to ensure ethical, compliant, and risk-aware use of AI in their software projects.

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

• Identify and address ethical and legal risks associated with AI-assisted development.
• Understand and evaluate bias in AI-generated code to ensure fairness.
• Manage software licenses and attribution for AI-generated content.
• Establish governance, policy, and compliance frameworks for the use of AI in development teams.

Format of the Course

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

Course Customization Options

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

AI for Software Requirements and User Story Generation is a practical course designed to leverage generative AI in transforming stakeholder input into well-structured requirements, epics, user stories, and acceptance criteria that are ideal for Agile development processes.

This instructor-led, live training (available both online and on-site) is tailored for beginner-level product and project professionals who want to utilize tools such as ChatGPT or Claude to enhance clarity, speed, and traceability in the requirement gathering and refinement process.

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

• Utilize AI prompts to effectively gather and refine business requirements.
• Convert feature requests into well-structured user stories and epics.
• Generate acceptance criteria, edge cases, and definitions of done with the assistance of AI.
• Collaborate with development teams using AI-generated documentation.

Format of the Course

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

Course Customization Options

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

Cursor is an AI-powered development environment that boosts productivity and reliability in data and machine learning workflows through intelligent code generation, context-aware suggestions, and streamlined documentation.

This instructor-led, live training (online or onsite) is designed for intermediate-level data and ML professionals who want to integrate Cursor into their daily workflows to speed up prototyping, develop scalable pipelines, and enhance model operations.

After completing this training, participants will be able to:

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

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Uzbekistan (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 developer productivity and code review platform that optimizes pull request workflows, enhances team collaboration, and integrates with tools such as GitHub and AI-based code review assistants.

This instructor-led, live training (available online or onsite) is designed for intermediate-level software engineering teams who want to streamline their development processes, improve review efficiency, and effectively implement Graphite within enterprise DevOps pipelines.

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

• Deploy and configure Graphite for large-scale development environments.
• Automate pull request management and enhance code review throughput.
• Integrate Graphite with GitHub, CI/CD systems, and AI assistants like OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Measure developer productivity using Graphite's analytics and dashboards.

Format of the Course

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

Course Customization Options

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

Cursor is a sophisticated AI-driven development environment that enables engineers to expand, refine, and tailor its coding intelligence for specialized applications and enterprise workflows.

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

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

• Design and test sophisticated prompt templates for precise AI performance.
• Integrate Cursor with internal APIs and knowledge bases for context-aware code generation.
• Develop fine-tuned or domain-specific AI models for specialized tasks.
• Build and deploy custom tools or adapters that securely extend Cursor’s capabilities.

Format of the Course

• Technical presentations and guided demonstrations.
• Hands-on development and prompt optimization exercises.
• 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 Uzbekistan (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.

Generative AI for Front-End Development delves into how large language models and AI-driven tools can expedite front-end development through prompt-based code generation, layout prototyping, and UI optimization.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate front-end professionals who want to leverage generative AI to build and iterate user interfaces more efficiently and creatively.

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

• Utilize AI tools to generate HTML, CSS, and JavaScript from natural language prompts.
• Develop and refine UI components and layouts using generative models.
• Quickly prototype responsive web designs without writing all code from scratch.
• Enhance front-end code through AI suggestions and automation workflows.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• For customized training options for this course, please contact us to arrange.

This instructor-led, live training in Uzbekistan (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 approach where developers work alongside large language models to generate, refine, and optimize code through natural language interactions.

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

AI-Augmented Test Generation and Quality Engineering delves into how artificial intelligence tools and large language models (LLMs) can enhance test coverage, accelerate test creation, and refine quality assurance processes.

This live training, led by an instructor and available online or on-site, is designed for intermediate-level QA professionals who are interested in automating and improving their testing strategies through the use of AI-driven tools and practices.

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

• Create unit, integration, and UI tests using AI tools and prompts.
• Utilize LLMs for exploratory testing, identifying edge cases, and performing regression analysis.
• Cluster and prioritize test failures and anomalies with the help of AI-assisted triage.
• Integrate AI-based testing into CI/CD pipelines to boost release confidence.

Format of the Course

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

Course Customization Options

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

Cursor is an AI-powered development environment that enhances team collaboration, automates code reviews, and integrates seamlessly into modern CI/CD workflows.

This instructor-led, live training (online or onsite) is designed for intermediate-level technical professionals who want to integrate Cursor into their team environments to improve collaboration, streamline reviews, and maintain quality across automated pipelines.

Upon completing this training, participants will be able to:

• Set up and manage team environments in Cursor for collaborative development.
• Utilize 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 tailored to specific CI/CD platforms, repository tools, or enterprise security requirements.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (online or onsite) is aimed at beginner-level to intermediate-level 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.

Devstral is an open-source framework designed to build and run coding agents that can interact with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led, live training (available both online and on-site) is targeted at intermediate to advanced ML engineers, developer-tooling teams, and SREs who want to design, implement, and optimize coding agents using Devstral.

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

• Set up and configure Devstral for developing coding agents.
• Create agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Format of the Course

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

Course Customization Options

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

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 completing 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.
• Effectively evaluate, accept, or modify AI-generated code suggestions while ensuring security.
• Adopt best practices for team onboarding, collaboration, and integration with version control systems.

Format of the Course

• Interactive lectures and discussions.
• 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 Uzbekistan (online or onsite) 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.

LLMs for Code Understanding, Refactoring, and Documentation is a technical course designed to leverage large language models (LLMs) to enhance code quality, minimize technical debt, and automate documentation processes across software teams.

This instructor-led, live training (available online or on-site) is targeted at intermediate to advanced-level software professionals who are interested in utilizing LLMs like GPT to more effectively analyze, refactor, and document complex or legacy codebases.

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

• Leverage LLMs to provide clear explanations of code, dependencies, and logic in unfamiliar repositories.
• Identify and refactor problematic coding patterns to improve readability.
• Automatically generate and maintain inline comments, README files, and API documentation.
• Integrate insights derived from LLMs into existing CI/CD and review workflows.

Format of the Course

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

Course Customization Options

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

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

AI-Driven Software Development Lifecycle (SDLC) is a practical course that delves into how artificial intelligence can enhance every stage of the software development process. From automating requirement analysis to intelligent test generation and deployment optimization, participants will learn how to integrate AI tools and techniques throughout the entire lifecycle.

This instructor-led, live training (online or onsite) is designed for intermediate-level software leaders who want to modernize their SDLC with AI-assisted workflows and tools.

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

• Utilize AI to transform business input into structured requirements and user stories.
• Employ LLMs (Large Language Models) to enhance code documentation, review, and refactoring.
• Automate the generation and coverage analysis of test cases using AI tools.
• Implement AI-driven monitoring and deployment decision-making in CI/CD pipelines.

Format of the Course

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

Course Customization Options

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

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 Uzbekistan (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 Uzbekistan (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 immersive, one-day workshop that empowers software teams to integrate cutting-edge AI tools throughout the Software Development Lifecycle (SDLC). Structured as an interactive game with progressive “levels,” this experience blends technical skill-building, creativity, and collaboration.

Participants will tackle real-world challenges across all stages of the SDLC — from requirement gathering and design to coding, testing, deployment, and monitoring — using AI-powered tools like ChatGPT, GitHub Copilot, and ML-based log analysis systems.

Designed for modern development environments, this workshop fosters AI fluency, team synergy, and a deep understanding of how to augment software delivery pipelines with generative AI and machine learning capabilities.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level professionals who wish to use Replit AI to build, test, and deploy simple applications faster.

By the end of this training, participants will be able to: create an app from a prompt, improve code with AI assistance, manage configuration securely, and deploy a working application.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level product teams, developers, and technical business users who wish to use Lovable to build production-ready apps faster with better structure, quality, and deployment practices.

By the end of this training, participants will be able to: plan and generate working apps, improve user flows and data handling, add key production features, and prepare apps for deployment and team use.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level software engineers and technical leads who wish to use Claude Code to accelerate development workflows and improve team productivity with AI-assisted coding.

By the end of this training, participants will be able to: install and configure Claude Code, navigate, generate and improve code using AI, integrate AI workflows with Git, and design scalable AI-assisted processes.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level professionals who wish to use Bolt.new to rapidly create and improve web app prototypes.

By the end of this training, participants will be able to: create prototypes from prompts, refine features and interface flow, test and troubleshoot app behavior, and publish prototypes for review.

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

• Master enterprise prompt architecture across 6 layers (Role, Context, Constraints, Domain Standards, Format, Examples).
• Encode business, security and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library validated, shared and governed by all teams.
• Define sustainable governance: Prompt Curator role, naming conventions, versioning, quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong entirely to the client organization.

Course customization options

• To request a customized version of this training, please contact us to make the
  necessary arrangements.