AI for Software Development Training in Varna

GitHub Copilot is an AI-driven 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 utilize AI to optimize resource allocation, streamline workflows, and improve decision-making.

This instructor-led, live training (available online or onsite) targets advanced-level managers seeking to deepen their understanding of GitHub Copilot while exploring practical AI applications in corporate environments. The course includes examples relevant to large-scale projects and industries such as oil and gas.

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

• Apply advanced Copilot functionalities in large-scale corporate projects.
• Integrate Copilot into multidisciplinary workflows to maximize efficiency.
• Leverage 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 lecture and discussion.
• Hands-on exercises and case studies.
• Live-lab 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) encompasses a suite of technologies designed to mimic human intelligence within machines and applications, thereby facilitating the creation of smarter and more adaptive software solutions.

This instructor-led live training, available either online or on-site, is tailored for intermediate-level developers looking to construct AI-driven applications using practical tools and platforms.

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

• Grasp fundamental AI and machine learning principles.
• Engineer AI functionalities utilizing Python and widely adopted libraries.
• Implement AI methodologies within actual software development projects.
• Assess model performance and deploy intelligent services.

Course Format

• Engaging lectures accompanied by interactive discussions.
• Extensive exercises and hands-on practice sessions.
• Practical implementation within a live laboratory environment.

Customization Options

• For organizations seeking tailored training for this course, please reach out to us to discuss your specific requirements.

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

This instructor-led live training, available both online and onsite, targets beginner to intermediate-level professionals aiming to leverage GitHub Copilot to streamline DevOps tasks, enhance automation, and increase productivity.

Upon completing this training, participants will be able to:

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

Format of the Course

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

Course Customization Options

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

Huawei Ascend comprises a series of AI processors engineered for high-efficiency inference and training tasks.

This instructor-led live training, available either online or at your location, targets intermediate-level AI engineers and data scientists seeking to create and optimize neural network models via Huawei’s Ascend platform and the CANN toolkit.

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

• Establishing and configuring the CANN development environment.
• Creating AI applications utilizing MindSpore and CloudMatrix workflows.
• Enhancing performance on Ascend NPUs through custom operators and tiling techniques.
• Deploying models into cloud or edge computing environments.

Course Format

• Engaging lectures combined with interactive discussions.
• Practical application of Huawei Ascend and the CANN toolkit within sample projects.
• Supervised exercises centered on model construction, training, and deployment.

Customization Opportunities

• For customized training tailored to your specific infrastructure or datasets, please reach out to us to arrange a session.

This instructor-led training, offered in Varna (online or onsite), targets intermediate-level software professionals who aim to leverage AI and machine learning to enhance 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 Varna (online or onsite) targets intermediate to advanced participants who wish to refine team workflows, enhance collaborative coding practices, and effectively manage Copilot usage in multi-developer environments.

Upon completing this training, participants will be capable of:

• Configuring GitHub Copilot for team-based environments.
• Employing Copilot to strengthen collaborative coding habits.
• Enhancing team workflows through Copilot’s capabilities.
• Overseeing Copilot’s integration within multi-developer projects.
• Upholding consistent code quality and standards across all team members.
• Utilizing advanced Copilot features tailored to specific team requirements.
• Integrating Copilot with other collaborative tools to maximize efficiency.

This instructor-led live training in Varna (online or onsite) targets 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:

This hands-on course, Prompt Engineering for Software Development, is designed to equip developers with the skills to craft effective prompts that enhance the utility, accuracy, and safety of AI-generated outputs within software engineering tasks.

Delivered as an instructor-led live training (available online or on-site), it targets intermediate-level developers seeking to integrate prompt engineering techniques into their workflows with AI coding assistants, code analyzers, and intelligent automation tools.

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

• Engage in interactive lectures and discussions.
• Complete numerous exercises and practice sessions.
• Implement hands-on solutions in a live laboratory environment.

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

This instructor-led, live training in Varna (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.

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

• Configure GitHub Copilot for front-end development projects.
• Utilize Copilot to generate HTML, CSS, and JavaScript code efficiently.
• Enhance UI/UX design processes through AI-driven code suggestions.
• Optimize front-end workflows with practical Copilot integration strategies.
• Identify and resolve front-end code issues using Copilot assistance.

Responsible AI in Software Development serves as a fundamental course addressing the ethical, legal, and governance aspects of integrating AI tools into the software development lifecycle. It places significant emphasis on transparency, fairness, intellectual property rights, and the secure deployment of code generated by AI.

Delivered by an instructor through live online or onsite sessions, this training targets beginner-level technical and non-technical professionals aiming to utilize AI in their software projects in an ethical, compliant, and risk-conscious manner.

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

• Identify and mitigate ethical and legal risks linked to AI-assisted development.
• Comprehend bias within AI-generated code and learn methods for evaluating fairness.
• Manage software licenses and attribution requirements for AI-generated content.
• Establish governance, policy, and compliance frameworks for AI usage within development teams.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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.

This practical course on AI for Software Requirements and User Story Generation focuses on leveraging generative AI to convert stakeholder inputs into structured requirements, epics, user stories, and acceptance criteria tailored for Agile development workflows.

Designed for beginner-level product and project professionals, this instructor-led live training (available online or onsite) shows how to use tools like ChatGPT or Claude to enhance clarity, efficiency, and traceability during requirement gathering and refinement.

Upon completion, participants will be able to:

• Utilize AI prompts to collect and refine business requirements.
• Transform feature requests into clearly structured user stories and epics.
• Create acceptance criteria, edge cases, and definitions of done with AI support.
• Collaborate effectively with development teams using AI-structured documentation.

Course Format

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

Customization Options

• For customized training requests, please contact us to make arrangements.

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

This instructor-led live training (available online or on-site) targets intermediate data and ML professionals seeking to integrate Cursor into their daily routines. The goal is to enable faster prototyping, scalable pipeline development, and enhanced 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.
• Apply AI-assisted code for model training, hyperparameter tuning, and evaluation.
• Improve reproducibility, team collaboration, and operational consistency within ML workflows.

Course Format

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

Course Customization Options

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

This instructor-led live training in Varna (online or onsite) targets beginner to intermediate 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:

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

Graphite is a platform designed to boost developer productivity and streamline code reviews. It optimizes pull request workflows, enhances team collaboration, and integrates seamlessly with tools like GitHub and AI-powered code review assistants.

This instructor-led live training, available online or onsite, is designed for intermediate-level software engineering teams looking 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 enterprise-scale development environments.
• Automate pull request management and enhance code review throughput.
• Integrate Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Measure developer productivity using Graphite analytics and dashboards.

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 a sophisticated AI-driven development environment that empowers 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 onsite) targets advanced-level developers and AI engineers who want to design tailored prompt systems, refine model behavior, and build custom extensions for internal development automation.

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

• Design and test advanced prompt templates for 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 extend Cursor’s functionality securely.

Format of the Course

• 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 customized to align with specific internal architectures, AI frameworks, or security compliance requirements.

This instructor-led, live training in Varna (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 course on Generative AI for Front-End Development examines how large language models and AI-driven tools can speed up the front-end development process through prompt-based code generation, layout prototyping, and UI optimization.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate front-end professionals who want to leverage generative AI to build and iterate on user interfaces more quickly 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.
• Create and refine UI components and layouts using generative models.
• Rapidly prototype responsive web designs without writing all code from scratch.
• Optimize front-end code using AI suggestions and automation workflows.

Course Format

• 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 in Varna (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 a new paradigm in which developers work alongside large language models to generate, refine, and optimize code through natural language dialogue.

This instructor-led live training, available both online and onsite, is designed for intermediate developers and technical leads aiming to master AI coding assistants and open-source LLMs to enhance productivity, creativity, and workflow automation.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

• For a customized training version of this course, please contact us to arrange.

This course investigates how artificial intelligence tools and large language models (LLMs) can enhance quality assurance processes by improving test coverage, accelerating test creation, and optimizing overall efficiency.

Designed for intermediate-level QA professionals, this instructor-led live training (available online or onsite) focuses on automating and elevating testing strategies through the application of AI-driven tools and methodologies.

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

• Create unit, integration, and UI tests utilizing AI tools and effective prompting techniques.
• Leverage LLMs for exploratory testing, uncovering edge cases, and conducting regression analysis.
• Cluster and prioritize test failures and anomalies through AI-assisted triage mechanisms.
• Incorporate AI-based testing into CI/CD pipelines to bolster confidence in software releases.

Course Format

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

Course Customization Options

• For customized training arrangements, please contact us directly.

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

This instructor-led live training, available online or on-site, targets intermediate technical professionals looking to incorporate Cursor into their team environments to enhance collaboration, streamline reviews, and uphold quality standards across automated pipelines.

After completing this training, participants will be able to:

• Configure and manage team environments in Cursor for collaborative development.
• Utilize AI tools to automate code reviews, generate pull requests, and validate merges.
• Establish code governance, review policies, and security safeguards using Cursor’s features.
• Connect Cursor with CI/CD systems to ensure continuous delivery and consistent quality.

Course Format

• Instructor-led presentations combined with team-based discussions.
• Hands-on labs featuring real-world team collaboration scenarios.
• Live integration exercises with CI/CD and version control tools.

Customization Options

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

This instructor-led, live training in Varna (online or onsite) is designed for beginner to intermediate 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 Varna (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 Varna (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 Varna (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 for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level ML engineers, developer-tooling teams, and SREs who wish 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 coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

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 intelligent, AI-driven code editor crafted to elevate developer productivity by offering smart code completions, context-aware edits, and adaptive support.

This instructor-led live training (available online or onsite) targets beginner developers and engineering teams looking to streamline their coding workflows and safely utilize AI suggestions to enhance efficiency.

After completing this training, participants will be able to:

• Install and configure Cursor to maximize its utility in development projects.
• Comprehend and implement AI-assisted code completion, in-editor chat, and refactoring capabilities.
• Effectively and securely evaluate, accept, or modify code suggestions generated by AI.
• Implement best practices for team onboarding, collaboration, and version control integration.

Course Format

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

Customization Options

• This course can be customized to align with the specific programming languages or frameworks used by your team.

This instructor-led, live training in Varna (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.

The course "LLMs for Code Comprehension, Refactoring, and Documentation" is a technical program dedicated to leveraging large language models (LLMs) to enhance code quality, minimize technical debt, and streamline documentation processes within software development teams.

This instructor-led live training, available either online or on-site, targets intermediate to advanced software professionals who aim to utilize LLMs, such as GPT, to more effectively analyze, refactor, and document complex or legacy codebases.

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

• Employ LLMs to elucidate code structures, dependencies, and logic within unfamiliar repositories.
• Recognize and refactor anti-patterns to enhance code readability.
• Automate the creation and maintenance of inline comments, README files, and API documentation.
• Seamlessly integrate LLM-derived insights into current 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 the Course

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

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

The AI-Driven Software Development Lifecycle (SDLC) course provides a practical exploration of how artificial intelligence can optimize every stage of software development. Participants will discover methods to integrate AI tools and techniques throughout the entire lifecycle, ranging from automating requirement analysis and intelligent test generation to enhancing deployment efficiency.

This instructor-led, live training, available online or onsite, targets intermediate-level software leaders seeking to modernize their SDLC processes through AI-assisted workflows and tools.

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

• Utilize AI to transform business inputs into structured requirements and user stories.
• Employ LLMs to enhance code documentation, review processes, and refactoring efforts.
• Automate the generation of test cases and conduct coverage analysis using AI-powered tools.
• Apply AI-driven monitoring and decision-making capabilities within CI/CD pipelines.

Course Format

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

Course Customization Options

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

This instructor-led, live training (available online or onsite) targets intermediate-level software developers looking to enhance productivity and code quality through AI-assisted coding with Cursor.

Upon completion 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 Varna (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 Varna (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 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 Varna (online or onsite) is designed for beginner-level professionals who wish to utilize 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 Varna (online or in-person) targets beginner to intermediate to advanced-level product teams, developers, and technical business users who wish to utilize Lovable to build production-ready apps faster, with improved 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.

The primary goal of this instructor-led, live training is to equip professionals without coding or technical backgrounds with the confidence to utilize Claude Code — Anthropic’s AI-driven coding and automation tool — to construct real projects, automate workflows, and integrate everyday applications using simple, natural language.

Participants will engage with the Claude application (available at claude.ai and via Claude Desktop) to complete practical tasks, ranging from their initial interaction to linking Claude with external services through MCP (Model Context Protocol) connectors. The 7-hour curriculum includes a dedicated Live Build Session where the group collaboratively develops workflows based on real-world problems submitted by participants. This high-energy segment effectively teaches prompt evaluation skills in a manner that solo practice cannot replicate. By the conclusion of the course, every participant will have created a functional project and linked Claude to at least one external service.

Course Format

• Interactive lectures combined with live demonstrations
• Guided hands-on exercises following each concept (participants participate in real-time)
• Collaborative Live Build Session addressing real workflow challenges submitted by participants
• Cumulative capstone project with a presentation showcase

This instructor-led, live training aims to equip professionals with no coding or technical background to confidently utilize Claude Code — Anthropic’s AI-powered coding and automation tool — to construct real projects, automate workflows, and integrate daily tools using plain English.

Participants will engage with the Claude application (claude.ai and Claude Desktop) to execute hands-on tasks, progressing from their initial interaction to connecting Claude with external services via MCP (Model Context Protocol) connectors. Upon course completion, each participant will have developed a functional project and linked Claude to at least one external service.

Course Format

• Interactive lectures and live demonstrations
• Guided hands-on exercises following each concept (participants follow along in real time)
• Cumulative capstone project developed throughout the session

This instructor-led, live training in Varna (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 Varna (online or onsite) targets developers who want to use GitHub Copilot Agent Mode to autonomously build features, execute tests, and handle 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 Varna (online or onsite) targets beginner, intermediate, and advanced-level professionals who wish to utilize Bolt.new to rapidly generate and enhance web application prototypes.

By the conclusion of this training, participants will be able to: generate prototypes from prompts, refine features and interface flows, test and troubleshoot application behavior, and publish prototypes for review.

This instructor-led, live training in Varna (online or onsite) targets developers interested in using Windsurf for conversational feature creation, terminal workflow execution within the IDE, and codebase refactoring.

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