AI for Software Development Training in Belgrade

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 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 who want to deepen their understanding of 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.

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 replicate human intelligence within machines and applications, facilitating the creation of smarter, more adaptive software solutions.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level developers looking to build AI-driven applications using practical tools and platforms.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental concepts of AI and machine learning.
• Implement AI features utilizing Python and widely adopted libraries.
• Apply AI methodologies to real-world software development projects.
• Evaluate models and deploy intelligent services effectively.

Course Format

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

Course Customization Options

• For those seeking customized training for this course, please reach out to us to arrange the details.

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

This instructor-led live training (available online or onsite) is intended for beginner to intermediate-level professionals who want to use GitHub Copilot to streamline 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.
• Harness AI code completion for YAML files and GitHub Actions.
• Expedite testing, deployment, and automation workflows.
• Apply Copilot responsibly, with an understanding of AI limitations and best practices.

Course Format

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

Course Customization Options

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

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

This instructor-led live training, available online or onsite, targets intermediate-level AI engineers and data scientists aiming to develop and optimize neural network models utilizing Huawei’s Ascend platform and the CANN toolkit.

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

• Setting up and configuring the CANN development environment.
• Creating AI applications using MindSpore and CloudMatrix workflows.
• Enhancing performance on Ascend NPUs through custom operators and tiling techniques.
• Deploying models to either edge or cloud environments.

Format of the Course

• Interactive lectures and discussions.
• Practical application of Huawei Ascend and the CANN toolkit within sample applications.
• Guided exercises centered on model construction, training, and deployment.

Course Customization Options

• To arrange a customized training session tailored to your specific infrastructure or datasets, please get in touch with us.

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

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

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

This instructor-led, live training in Belgrade (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 Belgrade (online or onsite) is designed for intermediate-level QA engineers, developers, and team leads who want to use GitHub Copilot to debug more efficiently, enhance code quality, and streamline code reviews.

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

• Configure GitHub Copilot for debugging and code review tasks.
• Utilize Copilot to identify and fix bugs efficiently.
• Improve code quality through AI-assisted suggestions.
• Simplify code review workflows using Copilot's features.
• Work effectively in team settings with Copilot support.

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 aimed at equipping developers with the skills to craft effective prompts that enhance the utility, accuracy, and safety of AI-generated outputs for software engineering tasks.

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

• Craft precise prompts for code generation, review, and optimization tasks.
• Apply prompt chaining and refinement to improve AI responses within iterative workflows.
• Produce structured outputs, such as test cases, SQL queries, and documentation, from minimal input.
• Reduce hallucination and exert greater control over LLM behavior in technical environments.

• Interactive lecture and discussion.
• 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 Belgrade (online or onsite) 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 workflows.

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

• Set up GitHub Copilot for front-end development projects.
• Leverage Copilot to efficiently generate HTML, CSS, and JavaScript code.
• 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.

Ethical AI Practices in Software Development is a foundational course that explores the ethical, legal, and governance aspects of integrating AI tools into the software development lifecycle. The course focuses on transparency, fairness, intellectual property rights, and the secure deployment of AI-generated code.

This instructor-led, live training (available online or onsite) is designed for technical and non-technical professionals at the beginner level who aim to adopt ethical, compliant, and risk-aware approaches to using AI in their software projects.

Upon completion 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 evaluate fairness.
• Manage software licenses and attribution for AI-generated content.
• Establish governance, policy, and compliance frameworks for AI use within development teams.

Course Format

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

Customization Options

• To request 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 instructor-led live training (available online or onsite) targets intermediate-level data and ML professionals aiming to incorporate Cursor into their daily workflows for faster prototyping, scalable pipeline development, and improved model operations.

Upon completing this training, participants will be able to:

• Utilize Cursor to expedite 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.

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 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 Belgrade (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. It optimizes pull request workflows, fosters better team collaboration, and seamlessly integrates with tools like GitHub and AI-powered code review assistants.

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

Upon completing this training, participants will be equipped to:

• Deploy and configure Graphite for development environments at an enterprise scale.
• Automate pull request management and significantly improve code review throughput.
• Connect Graphite with GitHub, CI/CD systems, and AI assistants such as OpenAI, Deepseek, LlaMA, Qwen, and Mistral Small.
• Assess developer productivity using Graphite’s analytics and dashboards.

Course Format

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

Customization Options

• For customized training arrangements, please contact us directly.

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 onsite) is designed for advanced-level developers and AI engineers who wish to design tailored prompt systems, refine model behavior, and build custom extensions for internal development automation.

Upon completing 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 Belgrade (online or onsite) is designed for advanced-level participants who want to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines to enhance 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 optimization.

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.
• Optimize front-end code using AI suggestions and automation workflows.

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.

This instructor-led, live training in Belgrade (online or onsite) is aimed at developers ranging from novices to experts who wish to leverage AI for code generation with Tabnine.

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

• Understand the basics of AI-powered code generation.
• Install and configure Tabnine in their development environment.
• Utilize Tabnine for efficient code completion and error correction.
• Create and train custom AI models with Tabnine for specialized tasks.

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

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

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

• Understand the core 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.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

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

AI-Enhanced Test Creation and Quality Engineering examines how artificial intelligence tools and large language models (LLMs) can broaden test coverage, accelerate the creation of tests, and strengthen quality assurance processes.

This instructor-led, live training (available online or onsite) is designed for intermediate-level QA professionals looking to automate and refine their testing strategies using AI-driven tools and methods.

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

• Create unit, integration, and UI tests using AI tools and prompts.
• Leverage LLMs for exploratory testing, identifying edge cases, and performing regression analysis.
• Group and prioritize test failures and anomalies through AI-assisted triage.
• Incorporate AI-based testing into CI/CD pipelines to increase confidence in releases.

Course Format

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

Customization Options

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

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

This instructor-led live training, available online or onsite, is tailored for intermediate-level technical professionals seeking 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.
• Leverage AI tools for automated code reviews, pull request generation, and merge validation.
• Implement code governance, review policies, and security guardrails using Cursor’s capabilities.
• Integrate Cursor with CI/CD systems to ensure continuous delivery and consistent quality standards.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Belgrade (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 guided, live training session in Belgrade (online or in-person) is designed for intermediate learners who want to use GitHub Copilot to manage complex coding tasks, boost their productivity, and incorporate Copilot into their development processes.

After completing this training, participants will be able to:

• Make the most of GitHub Copilot for advanced coding assignments.
• Create cleaner, more efficient, and easier-to-maintain code using Copilot’s suggestions.
• Integrate GitHub Copilot into their favorite IDEs and daily workflows.
• Use Copilot for debugging and refactoring code.
• Grasp the limitations and ethical aspects of using AI-based coding assistants.

This instructor-led, live training in Belgrade (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 Belgrade (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 engineered to build and operate coding agents capable of interacting with codebases, developer utilities, 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 who aim to design, implement, and optimize coding agents using Devstral.

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

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

Course Format

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

Customization Options

• To request a customized version of this course, please contact us to arrange.

Cursor is an AI-driven code editor designed to boost developer productivity by offering intelligent code completions, contextual edits, and adaptive support.

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

After completing this training, participants will be able to:

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

Course Format

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

Customization Options

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

This instructor-led, live training session in Belgrade (offered online or onsite) is designed for beginner developers aiming to understand GitHub Copilot's capabilities, set it up, and apply it effectively to enhance their coding workflow.

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

• Grasp the concept and functionality of GitHub Copilot.
• Install and configure GitHub Copilot with a supported code editor.
• Use GitHub Copilot to write, refactor, and debug code more efficiently.
• Explore coding techniques and solutions through Copilot.
• Adopt best practices for integrating GitHub Copilot into everyday workflows.

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

Delivered as an instructor-led live session (available online or on-site), this training is designed for intermediate to advanced software professionals seeking to utilize LLMs like GPT to analyze, refactor, and document complex or legacy codebases with greater efficiency.

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

• Employ LLMs to clarify code logic, dependencies, and structure in unfamiliar repositories.
• Spot and refactor anti-patterns to boost code readability.
• Automate the creation and upkeep of inline comments, README files, and API documentation.
• Seamlessly integrate LLM-driven insights into current CI/CD and code review workflows.

Course Format

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

Customization Options

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

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

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

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

This practical course examines how artificial intelligence can optimize every stage of the software development process. Participants will discover how to incorporate AI tools and methodologies throughout the entire lifecycle, ranging from automating requirement analysis to intelligently generating tests and refining deployment strategies.

Delivered by an instructor, this live training (available online or on-site) targets intermediate-level software leaders seeking to modernize their SDLC 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.
• Apply LLMs to enhance code documentation, conduct reviews, and perform refactoring.
• Automate the creation of test cases and analyze coverage using AI-driven tools.
• Implement AI-driven monitoring and decision-making for deployments within CI/CD pipelines.

Course Format

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

Customization Options

• For tailored training needs regarding this course, please contact us to arrange a custom solution.

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 Belgrade (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 Belgrade (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 Belgrade (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 Belgrade (online or onsite) targets 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 better structure, quality, and deployment practices.

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

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

Participants will leverage the Claude application (claude.ai and Claude Desktop) to perform hands-on tasks, progressing from their initial interaction to linking Claude with external services via MCP (Model Context Protocol) connectors. The 7-hour course includes a dedicated Live Build Session where the group collaboratively constructs workflows addressing real issues volunteered by attendees. This high-energy segment teaches prompt judgment in a manner that solo practice cannot replicate. By the course’s conclusion, every participant will have developed a functional project and connected Claude to at least one external service.

Course Format

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

The primary goal of this instructor-led live training is to equip professionals without coding or technical backgrounds with the confidence to use Claude Code — Anthropic’s AI-driven coding and automation tool — to develop real-world projects, automate processes, and integrate daily tools using simple English.

Throughout the course, participants will utilize the Claude app (available via claude.ai and Claude Desktop) to perform hands-on tasks, starting from their initial interaction through to connecting Claude with external services using MCP (Model Context Protocol) connectors. By the conclusion of the course, every participant will have constructed 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 follow along in real time)
• A cumulative capstone project developed throughout the session

This instructor-led, live training in Belgrade (online or onsite) targets intermediate 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 Belgrade (online or onsite) is aimed at developers who wish to use GitHub Copilot Agent Mode to build features autonomously, run tests, and manage larger coding tasks.

By the end of this training, participants will be able to activate Agent Mode, plan and iterate within the agent loop, execute terminal commands, and implement enterprise governance.

This instructor-led, live training in Belgrade (online or onsite) is targeted at beginner, intermediate, or advanced 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 flows, test and troubleshoot application behavior, and publish prototypes for review.

This instructor-led, live training in Belgrade (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.