AI in Software Development Training in Prague

This advanced training on Prague explores GitHub Copilot and AI applications for corporate infrastructure. It provides managers with the skills necessary to optimize project management, streamline workflows, and enhance decision-making through AI tools, with a specific focus on large-scale project requirements.

This instructor-led live training, delivered Prague (online or on-site), 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 DevOps and CI/CD pipelines to improve deployment strategies.
• Address ethical considerations and challenges in AI-augmented software engineering.

This instructor-led, live training in Prague (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 Prague (online or onsite) is aimed at intermediate-level QA engineers, developers, and team leads who wish to leverage GitHub Copilot for more efficient debugging, code quality enhancement, and streamlined code review.

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

• Set up GitHub Copilot for debugging and code review purposes.
• Use Copilot to identify and resolve bugs efficiently.
• Enhance code quality with AI-assisted suggestions.
• Streamline code review processes with Copilot's capabilities.
• Collaborate effectively using Copilot in team environments.

This instructor-led live training in Prague (online or onsite) is aimed at intermediate-level front-end developers who wish to use GitHub Copilot to automate repetitive coding tasks, improve UI/UX design, and streamline front-end workflows.

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

• Set up GitHub Copilot for front-end development projects.
• Leverage Copilot to generate HTML, CSS, and JavaScript code efficiently.
• Improve UI/UX design processes using AI-generated code suggestions.
• Enhance front-end workflows with practical Copilot integration strategies.
• Troubleshoot and debug front-end code using Copilot assistance.

This instructor-led training in Prague presents Cursor as an AI-powered environment to accelerate data and ML workflows. Participants will learn to streamline notebook development, ETL pipelines, and model operations through practical exercises that enhance productivity and operational consistency.

This instructor-led, live training in Prague (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.

Delivered live by an instructor, this training in Prague explores the core principles and practical applications of Graphite. It equips participants with essential skills in code review, automation, and DevOps integration, directly applicable to real-world enterprise development environments and contemporary business requirements.

This instructor-led course in Prague empowers advanced developers to excel in prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will learn to design precise AI behaviors, integrate internal knowledge bases, and build secure, domain-adapted extensions tailored for enterprise workflows.

This instructor-led, live training in Prague (online or onsite) is aimed at advanced-level participants who wish to customize GitHub Copilot for team projects, utilize its advanced features, and integrate it seamlessly into CI/CD pipelines for enhanced collaboration and productivity.

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

• Customize GitHub Copilot for specific project needs and team workflows.
• Leverage advanced features of Copilot for complex coding tasks.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Optimize team collaboration using AI-powered tools.
• Manage and troubleshoot Copilot settings and permissions effectively.

This instructor-led, live training in Prague (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.

Explore AI-driven software development through this instructor-led training. This live course in Prague empowers intermediate developers to master LLMs, prompt engineering, and hands-on coding environments. Integrate vibe coding into CI/CD pipelines to boost productivity.

This live, instructor-led training in Prague assists teams in integrating Cursor to streamline collaboration and code reviews. Participants will learn to manage workspaces, automate AI-assisted pull requests, enforce governance policies, and connect Cursor to CI/CD pipelines for consistent quality.

This instructor-led live training in Prague (online or onsite) targets beginner to intermediate programmers and developers aiming to leverage DeepSeek Coder to enhance coding efficiency and productivity.

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

• Grasp the capabilities and limitations of DeepSeek Coder.
• Produce high-quality code snippets with AI assistance.
• Employ DeepSeek Coder for debugging and optimizing code.
• Automate repetitive programming tasks using AI tools.

This instructor-led, live training, offered in Prague (online or onsite), is designed for intermediate-level participants who aim to harness GitHub Copilot for advanced coding tasks, enhance productivity, and incorporate Copilot into their development processes.

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

• Optimize their usage of GitHub Copilot for sophisticated coding tasks.
• Write code that is more efficient, free of errors, and easier to maintain using Copilot’s insights.
• Integrate GitHub Copilot effectively into their preferred IDEs and workflows.
• Leverage Copilot for debugging and refactoring code.
• Comprehend the limitations and ethical factors involved in using AI-powered coding assistance.

This instructor-led, live training in Prague (online or onsite) is designed for advanced-level developers and team leads who wish to master the 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 Prague (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:

• Grasp the role and capabilities of AI coding assistants in software development.
• Use 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.

This instructor-led course on Prague assists developers in adopting Cursor, an AI-enhanced editor that increases productivity through intelligent completions and context-aware edits. Learners acquire practical skills in refactoring, safely reviewing AI suggestions, and team collaboration to optimize their workflows.

This instructor-led, live training in Prague (online or onsite) is designed for beginner-level developers who aim to understand GitHub Copilot's capabilities, set it up, and apply it effectively to enhance their coding experience.

Upon completing this training, participants will be able to:

• Comprehend what GitHub Copilot is and the mechanics behind its operation.
• Configure GitHub Copilot within a compatible code editor.
• Utilize GitHub Copilot to write, refactor, and debug code more efficiently.
• Use Copilot to investigate coding strategies and potential solutions.
• Implement best practices for incorporating GitHub Copilot into everyday workflows.

This instructor-led, live training in Prague (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 Prague (online or onsite) is targeted at beginner-level participants who want to understand AI coding assistants, their capabilities, how they can improve 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 various AI coding assistant tools and their features.
• Use AI coding assistants for basic coding tasks.
• Address basic ethical considerations and the responsible use of AI in development.

This live, instructor-led session, available online or on-site, targets intermediate software developers aiming to enhance productivity and code quality via AI-assisted coding in Cursor.

By the end of the program, attendees will be able to:

• Install and set up Cursor for AI-supported development.
• Integrate Cursor into Git repositories and development workflows.
• Leverage natural language to create, troubleshoot, and optimize code.
• Use AI capabilities to manage refactoring, documentation, and testing.

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

This instructor-led, live training in Prague (online or on-site) is designed for beginner-level developers who aim to enhance 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 Prague (offered online or onsite) is designed for entry-level professionals who want to use Replit AI to build, test, and deploy simple applications more efficiently.

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

This instructor-led, live training in Prague (online or onsite) is designed for 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 apps, improve user flows and data handling, add key production features, and prepare applications for deployment and team use.

This instructor-led, live training in Prague (online or onsite) 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 in Prague is designed for intermediate developers aiming to move a project from concept to a deployed, production-ready application using Claude Code.

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

• Configure Claude Code and effectively guide it using a CLAUDE.md file.
• Scaffold an application and integrate data and a CMS.
• Create tests and perform QA using subagents.
• Set up automated deployment to Vercel or Cloud Run.

This live, instructor-led training in Prague (online or on-site) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run 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.

Course objectives transform software / AI engineers into legal engineers — the people who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.

This instructor-led live training in Prague (online or onsite) is designed for beginner, intermediate, or advanced professionals wishing to utilize Bolt.new to rapidly develop and enhance web application 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 Prague (online or on-site) is designed for developers who want to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor code across the codebase.

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

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

• Master enterprise prompt architecture across six 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 that is validated, shared, and governed by all teams.
• Define sustainable governance frameworks: Prompt Curator roles, naming conventions, versioning, and quality metrics.
• Depart with concrete deliverables: Library v1.0, Governance Charter, and a 30-Day Deployment Plan.

Course format for participant assessment:

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction led 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.