AI for Software Development 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.

Artificial Intelligence (AI) refers to a collection of technologies designed to mimic human intelligence within machines and applications, facilitating the creation of more intelligent and adaptable software solutions.

This instructor-led live training, available in both online and onsite formats, is tailored for intermediate-level developers who aim to construct AI-driven applications using practical tools and platforms.

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

• Grasp fundamental concepts of AI and machine learning.
• Create AI functionalities utilizing Python and widely-used libraries.
• Implement AI techniques within actual software development projects.
• Assess model performance and deploy intelligent services.

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

• For customized training requests related to this course, please reach out to us to arrange the details.

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.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI engineers and data scientists who wish to develop and optimise 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.
• Develop AI applications using MindSpore and CloudMatrix workflows.
• Optimise performance on Ascend NPUs using custom operators and tiling.
• Deploy models to edge or cloud environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Huawei Ascend and CANN toolkit in sample applications.
• Guided exercises focused on model building, training, and deployment.

Course Customisation Options

• To request a customised training for this course based on your infrastructure or datasets, please contact us to arrange.

This instructor-led, live training in Tashkent (online or onsite) is designed for intermediate software professionals seeking to leverage AI and machine learning to enhance efficiency and innovation in software development.

Upon completing this training, participants will be able to:

• Understand the role of AI and machine learning in automating software development tasks.
• Utilize AI tools for generating code, tests, and documentation.
• Apply AI techniques to optimize code, ensure quality assurance, and facilitate debugging.
• Integrate AI into DevOps and CI/CD pipelines to enhance deployment strategies.
• Navigate ethical considerations and challenges inherent in AI-augmented software engineering.

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.

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 hands-on course designed to teach developers how to craft effective prompts that optimize the usefulness, precision, and safety of AI-generated outputs in the context of software engineering tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to integrate prompt engineering techniques into their use of AI coding assistants, code analyzers, and intelligent automation tools.

• Create precise prompts for code generation, review, and optimization tasks.
• Use prompt chaining and refinement to improve AI responses in iterative workflows.
• Generate structured outputs such as test cases, SQL queries, and documentation from minimal input.
• Mitigate hallucination and improve control over LLM behavior in technical environments.

• Interactive lecture and discussion.
• Lots of exercises and practice.
• 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 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.

Responsible AI in Software Development is a foundational course that addresses the ethical, legal, and governance considerations when using AI tools in the software development process. The course emphasizes transparency, fairness, intellectual property concerns, and safe deployment of AI-generated code.

This instructor-led, live training (online or onsite) is aimed at beginner-level technical and non-technical professionals who wish 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 mitigate ethical and legal risks associated with AI-assisted development.
• Understand bias in AI-generated code and how to evaluate fairness.
• Manage software licenses and attribution related to AI-generated content.
• Establish governance, policy, and compliance frameworks for AI use in development teams.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• 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 focused on using generative AI to transform stakeholder input into structured requirements, epics, user stories, and acceptance criteria suitable for Agile development workflows.

This instructor-led, live training (online or onsite) is aimed at beginner-level product and project professionals who wish to use tools like ChatGPT or Claude to improve clarity, speed, and traceability in requirement gathering and refinement.

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

• Use AI prompts to 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 AI assistance.
• Collaborate with development teams using AI-structured documentation.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• 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-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.

Generative AI for Front-End Development explores how large language models and AI-powered tools can accelerate front-end development through prompt-based code generation, layout prototyping, and UI optimisation.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level front-end professionals who wish to use generative AI to build and iterate user interfaces more quickly and creatively.

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

• Use AI tools to generate HTML, CSS, and JavaScript from natural language prompts.
• Create and refine UI components and layouts using generative models.
• Prototype responsive web designs rapidly without writing all code from scratch.
• Optimise front-end code using AI suggestions and automation workflows.

Course Format

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

Course Customisation Options

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

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.

This course explores how artificial intelligence tools and large language models (LLMs) can improve test coverage, accelerate test creation, and enhance quality assurance processes.

This instructor-led, live training (online or onsite) targets intermediate-level QA professionals who want to automate and enhance their testing strategies using AI-driven tools and practices.

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

• Generate unit, integration, and UI tests using AI tools and prompts.
• Use LLMs for exploratory testing, edge-case discovery, and regression analysis.
• Cluster and prioritize test failures and anomalies using AI-assisted triage.
• Integrate AI-based testing into CI/CD pipelines to improve release confidence.

Course Format

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

Customization Options

• To request a customized 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.

Devstral is an open-source framework purpose-built for creating and operating coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led live training (available online or onsite) targets intermediate to advanced ML engineers, developer-tooling teams, and SREs aiming to design, implement, and optimize coding agents using Devstral.

Upon completing this training, participants will be able to:

• Configure and set up Devstral for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• Integrate coding agents with developer tools and APIs.
• Apply best practices for secure and efficient agent deployment.

Course Format

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

Customization Options

• To arrange a tailored version of this course, please contact us.

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 technical course explores the application of large language models (LLMs) to enhance code quality, minimize technical debt, and automate documentation processes for software teams.

Offered as an instructor-led live training (available online or onsite), this program is designed for intermediate to advanced software professionals aiming to utilize LLMs, such as GPT, to efficiently analyze, refactor, and document complex or legacy codebases.

Upon completion, participants will be capable of:

• Utilizing LLMs to clarify code logic, dependencies, and structures within unfamiliar repositories.
• Spotting and refactoring anti-patterns to enhance code readability.
• Automating the creation and maintenance of inline comments, README files, and API documentation.
• Embedding LLM-driven insights into existing CI/CD pipelines and code review workflows.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

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.

AI-Driven Software Development Lifecycle (SDLC) is a practical course that explores how artificial intelligence can enhance each phase of the software development process. From automating requirement analysis to intelligent test generation and deployment optimisation, participants will learn how to integrate AI tools and techniques across the full lifecycle.

This instructor-led, live training (online or onsite) is aimed at intermediate-level software leaders who wish to modernise their SDLC with AI-assisted workflows and tools.

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

• Leverage AI for converting business input into structured requirements and user stories.
• Use LLMs to improve code documentation, review, and refactoring.
• Automate test case generation and coverage analysis using AI tools.
• Apply AI-driven monitoring and deployment decision-making in CI/CD pipelines.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and 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.

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 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 Tashkent (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 Tashkent (online or onsite) is aimed at beginner to intermediate to advanced-level product teams, developers, and technical business users who wish to use Lovable to build production-ready applications faster, with improved structure, quality, and deployment practices.

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

The primary goal of this instructor-led, live training is to equip professionals with no coding or technical background to confidently utilize Claude Code — Anthropic’s AI-driven coding and automation tool — to develop real-world projects, automate workflows, and integrate everyday tools using plain English.

Participants will engage with the Claude application (claude.ai and Claude Desktop) to complete practical tasks, starting from their initial interaction and progressing to connecting Claude with external services via MCP (Model Context Protocol) connectors. The 7-hour schedule includes a dedicated Live Build Session where the group collaboratively develops workflows based on real problems volunteered by participants. This high-energy segment teaches prompt judgment in a way that solo practice cannot achieve. By the end of the course, every participant will have created a functional project and connected Claude to at least one external service.

Format of the Course

• Interactive lecture and live demonstration
• Guided hands-on exercises after every concept (participants follow along in real time)
• Collaborative Live Build Session with real participant-submitted workflow problems
• Cumulative capstone project with showcase

This instructor-led, live training aims to equip professionals without coding or technical backgrounds with the confidence to use Claude Code—Anthropic’s AI-driven coding and automation tool. Participants will learn to build real projects, automate workflows, and integrate everyday tools using plain English.

Attendees will utilize the Claude application (claude.ai and Claude Desktop) to complete hands-on tasks, progressing from initial interactions to connecting Claude with external services via MCP (Model Context Protocol) connectors. By the course's conclusion, every participant will have developed a functional project and linked Claude to at least one external service.

Course Format

• Interactive lectures paired with live demonstrations
• Guided hands-on exercises following each concept, allowing participants to follow along in real-time
• A cumulative capstone project developed throughout the session

This instructor-led, live training in Tashkent (online or on-site) is designed for intermediate-level software engineers and technical leads who wish to use Claude Code to accelerate development workflows and improve team productivity through 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 (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 session in Tashkent (online or onsite) is designed for beginner to intermediate professionals who wish to use Bolt.new to rapidly create and enhance 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.

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.

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.