AI for Software Development Training in Turin

GitHub Copilot is an AI-driven code completion assistant designed to accelerate development while enhancing quality and productivity. When integrated with AI applications across projects, infrastructure, and software, managers can harness artificial intelligence to optimize resource distribution, streamline operational workflows, and improve decision-making processes.

This instructor-led training, available online or onsite, targets advanced-level managers seeking to deepen their expertise in GitHub Copilot while exploring practical AI applications within corporate settings. The course features examples pertinent to large-scale projects and industries such as oil and gas.

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

• Applying advanced Copilot capabilities in large-scale corporate projects.
• Integrating Copilot into multidisciplinary workflows to maximize efficiency.
• Utilizing AI tools to optimize project management, infrastructure, and software procurement.
• Implementing AI-driven strategies to enhance planning, estimation, and time management.
• Identifying practical AI applications in industry-specific contexts, such as oil and gas.

Course Format

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

Course Customization Options

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

Artificial Intelligence (AI) encompasses a suite of technologies designed to mimic human intelligence within machines and applications, facilitating the creation of smarter and more adaptable software.

This instructor-led live training, available online or on-site, targets intermediate-level developers eager to construct AI-driven applications using practical tools and platforms.

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

• Grasp fundamental concepts of AI and machine learning.
• Implement AI features using Python and widely-used libraries.
• Apply AI methodologies to real-world software development projects.
• Assess models and deploy intelligent services.

Course Format

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

Course Customization Options

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

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

This instructor-led live training, available online or onsite, targets beginner to intermediate professionals aiming to leverage GitHub Copilot to optimize DevOps processes, enhance automation, and increase productivity.

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

• Utilize GitHub Copilot to support shell scripting, configuration management, and CI/CD pipelines.
• Apply AI-driven code completion within YAML files and GitHub Actions.
• Speed up testing, deployment, and automation workflows.
• Implement Copilot responsibly by understanding AI limitations and adhering to best practices.

Format of the Course

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

Course Customization Options

• For customized training requests, please contact us to arrange.

Huawei Ascend comprises a family 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 eager to develop and optimize neural network models leveraging Huawei’s Ascend platform alongside the CANN toolkit.

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

• Establish and configure the CANN development environment.
• Create AI applications utilizing MindSpore and CloudMatrix workflows.
• Enhance performance on Ascend NPUs through custom operators and tiling techniques.
• Deploy models within either edge or cloud environments.

Course Format

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

Course Customization Options

• To arrange a tailored training session aligned with your specific infrastructure or datasets, please reach out to us.

This instructor-led, live training in Turin (online or on-site) is designed for intermediate-level software professionals aiming 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 Turin (available online or onsite) targets intermediate to advanced participants who want to optimize team workflows, enhance collaborative coding practices, and manage Copilot usage effectively in multi-developer environments.

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

• Configure GitHub Copilot for team environments.
• Use 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 Turin (online or onsite) is designed for intermediate QA engineers, developers, and team leads who aim to utilize GitHub Copilot for more efficient debugging, enhanced code quality, and streamlined code reviews.

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

• Configure GitHub Copilot specifically for debugging and code review tasks.
• Utilize Copilot to swiftly detect and fix bugs.
• Improve code quality through AI-guided recommendations.
• Optimize code review workflows using Copilot’s features.
• Foster effective teamwork by integrating Copilot into collaborative settings.

Course Customization Options

Format of the Course

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

Prompt Engineering for Software Development is a practical course designed to teach developers how to craft effective prompts that optimize the usefulness, precision, and safety of AI-generated outputs in the context of software engineering tasks.

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

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

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

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

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

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

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

Responsible AI in Software Development is a core course that explores the ethical, legal, and governance aspects of utilizing AI tools within the software development lifecycle. It highlights key issues such as transparency, fairness, intellectual property rights, and the secure deployment of AI-generated code.

This instructor-led live training, available online or onsite, targets beginner-level technical and non-technical professionals seeking to ensure ethical, compliant, and risk-aware integration of AI into their software projects.

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

• Identify and mitigate ethical and legal risks linked to AI-assisted development.
• Recognize bias in AI-generated code and understand 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.

Course Format

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

Customization Options

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

This hands-on course explores how to utilize generative AI to convert stakeholder inputs into structured requirements, epics, user stories, and acceptance criteria tailored for Agile development processes.

Delivered as an instructor-led live session (available online or in-person), this training targets beginner-level product and project professionals aiming to enhance clarity, efficiency, and traceability during requirement gathering and refinement using tools such as ChatGPT or Claude.

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

• Employ AI prompts to collect and refine business requirements.
• Transform feature requests into well-organized user stories and epics.
• Utilize AI to generate acceptance criteria, edge cases, and definitions of done.
• Collaborate effectively with development teams through AI-structured documentation.

Course Format

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

Customization Options

• For customized training on this topic, please contact us to arrange a session.

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 on-site) is designed for intermediate-level data and ML professionals who want to integrate Cursor into their daily workflows for faster prototyping, scalable pipeline development, and improved model operations.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures and demonstrations.
• Practical, hands-on exercises in live coding environments.
• Case studies integrating Cursor with ML pipelines and model operations 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 Turin (online or onsite) targets beginner to intermediate Python developers who wish to utilize GitHub Copilot for Python-specific tasks, debugging, and implementing machine learning workflows.

Upon completing this training, participants will be capable of:

• Installing and configuring GitHub Copilot for Python development.
• Utilizing Copilot to write efficient Python code.
• Debugging Python applications using AI-generated insights.
• Automating repetitive coding tasks to enhance workflow efficiency.
• Leveraging 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 live training (available online or onsite) targets intermediate-level software engineering teams aiming to refine their development processes, boost review efficiency, and effectively adopt Graphite within enterprise DevOps pipelines.

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

• Deploy and configure Graphite to support enterprise-scale development environments.
• Automate pull request management to improve code review throughput.
• Integrate 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.
• Extensive exercises and practical practice.
• Hands-on implementation in a live lab environment.

Customization Options

• For customized training requests, please contact us to arrange.

Cursor is an advanced AI-powered 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) is designed for advanced-level developers and AI engineers seeking to design tailored prompt systems, fine-tune model behavior, and build custom extensions for internal development automation.

By the conclusion 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 Turin (online or onsite) is designed for advanced participants who want to customize GitHub Copilot for team initiatives, exploit its advanced functionalities, and seamlessly integrate it into CI/CD pipelines to boost collaboration and productivity.

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

• Customize GitHub Copilot to align with specific project requirements and team workflows.
• Utilize Copilot’s advanced features for tackling complex coding challenges.
• Integrate GitHub Copilot into CI/CD pipelines and collaborative environments.
• Enhance team collaboration through AI-powered tools.
• Effectively manage and troubleshoot Copilot settings and permissions.

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:

• Leverage 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.
• Enhance front-end code quality using AI suggestions and automation workflows.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Turin (online or onsite) targets developers of all skill levels—from beginners to experts—who wish to harness AI for code generation with Tabnine.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of AI-powered code generation.
• Install and configure Tabnine within their development environment.
• Leverage Tabnine for efficient code completion and error correction.
• Develop and train custom AI models with Tabnine to handle 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 online or onsite) targets intermediate-level developers and technical leads aiming to master the use of AI coding assistants and open-source LLMs to enhance productivity, creativity, and workflow automation.

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

• Grasp the principles and philosophy of vibe coding and its 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.

Format of the Course

• Interactive lecture and discussion.
• Ample 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.

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

This instructor-led, live training (available online or onsite) targets intermediate-level QA professionals looking to automate and refine their testing strategies through AI-driven tools and practices.

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

• Creating unit, integration, and UI tests using AI tools and prompts.
• Leveraging LLMs for exploratory testing, edge-case discovery, and regression analysis.
• Grouping and prioritizing test failures and anomalies via AI-assisted triage.
• Integrating AI-based testing into CI/CD pipelines to boost release confidence.

Course Format

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

Customization Options

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

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

This instructor-led, live training session (available online or onsite) targets intermediate-level technical professionals seeking to incorporate Cursor into their team environments. The goal is to enhance collaboration, streamline review processes, and uphold quality standards across automated pipelines.

Upon completing this training, participants will be able to:

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

Course Format

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

Customization Options

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

This instructor-led, live training in Turin (online or onsite) is aimed at beginner-level to intermediate-level programmers and developers who wish to leverage DeepSeek Coder to enhance coding efficiency and productivity.

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

• Understand the capabilities and limitations of DeepSeek Coder.
• Generate high-quality code snippets using AI assistance.
• Utilize DeepSeek Coder for debugging and optimizing code.
• Automate repetitive programming tasks using AI tools.

This instructor-led, live training in Turin (online or onsite) targets intermediate-level professionals looking to master GitHub Copilot for complex coding scenarios, boost their productivity, and seamlessly incorporate Copilot into their daily development processes.

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

• Maximize the effectiveness of GitHub Copilot for advanced programming tasks.
• Produce code that is more efficient, reliable, and easier to maintain using Copilot's suggestions.
• Integrate GitHub Copilot into their preferred Integrated Development Environments (IDEs) and workflows.
• Apply Copilot for debugging and code refactoring activities.
• Grasp the limitations and ethical implications of utilizing AI-assisted coding tools.

This instructor-led, live training in Turin (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 Turin (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 via smart code completions, context-aware edits, and adaptive support.

This instructor-led live training, available either online or onsite, targets beginner-level developers and engineering teams aiming to streamline their coding workflow and safely utilize AI suggestions to boost efficiency.

After completing this training, participants will be able to:

• Install and configure Cursor for peak performance in development projects.
• Understand and implement 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.

Course Customization Options

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

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

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

• Understand what GitHub Copilot is and how it works.
• Set up GitHub Copilot with a supported code editor.
• Use GitHub Copilot to write, refactor, and debug code faster.
• Leverage Copilot to explore coding techniques and solutions.
• Apply best practices for integrating GitHub Copilot into daily workflows.

This technical course focuses on applying Large Language Models (LLMs) to enhance code quality, minimize technical debt, and automate documentation tasks within software engineering teams.

Delivered as instructor-led live training, available either online or onsite, it is designed for software professionals with intermediate to advanced skill levels who aim to utilize LLMs, such as GPT, to analyze, refactor, and document complex or legacy codebases more effectively.

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

• Utilize LLMs to clarify code functionality, dependencies, and logic within unfamiliar repositories.
• Identify and refactor anti-patterns to enhance code readability.
• Automate the generation and maintenance of in-line comments, README files, and API documentation.
• Integrate LLM-driven insights into existing CI/CD pipelines and code review workflows.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Turin (online or onsite) is designed for intermediate-level Python developers and data scientists aiming to boost their productivity with Tabnine.

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

• Install and configure Tabnine in their Python development environment.
• Leverage Tabnine's autocomplete features to write Python code more efficiently.
• Customize Tabnine to match their coding style and project needs.
• Understand how Tabnine's AI model operates specifically with Python code.

This instructor-led, live training in Turin (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 offers a comprehensive exploration of how artificial intelligence can optimize every stage of the software development process. Participants will discover methods to integrate AI technologies throughout the entire lifecycle, ranging from automating requirements analysis and intelligent test generation to optimizing deployments.

This instructor-led live training, available online or on-site, is designed for software leaders at an intermediate level who aim to modernize their SDLC by adopting 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 Large Language Models (LLMs) to enhance code documentation, review processes, and refactoring efforts.
• Automate the generation of test cases and analyze coverage using AI-powered tools.
• Implement AI-driven monitoring and decision-making within CI/CD pipelines for deployment.

Course Format

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

Course Customization Options

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

This instructor-led, live training (available online or onsite) is designed for intermediate-level software developers seeking to enhance their productivity and code quality through AI-assisted coding using Cursor.

Upon completing this training, participants will be able to:

• Install and configure Cursor to support AI-assisted software development.
• Seamlessly integrate Cursor with Git repositories and existing development workflows.
• Utilize natural language inputs to generate, debug, and optimize code.
• Apply AI capabilities for refactoring, documentation, and testing.

This instructor-led, live training in Turin (online or onsite) targets beginner to intermediate developers who wish to learn how to effectively utilize GitHub Copilot's capabilities within modern development workflows.

This instructor-led, live training in Turin (online or on-site) is designed for beginner-level developers seeking to boost their coding efficiency with the assistance of Tabnine.

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

• Install and set up Tabnine in their preferred IDE.
• Utilize Tabnine's autocomplete features to speed up coding.
• Customize Tabnine's settings for optimal assistance.
• Understand how Tabnine's AI learns from their code to provide better suggestions.

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

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

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

This instructor-led, live training in Turin (online or onsite) is designed for beginner-level professionals who wish to use Replit AI to build, test, and deploy simple applications more efficiently.

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

This instructor-led, live training in Turin (online or onsite) is aimed at beginner-to-intermediate-to-advanced level product teams, developers, and technical business users who wish to use Lovable to build production-ready applications faster, with 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, integrate key production features, and prepare applications for deployment and team collaboration.

This instructor-led, live training is designed to equip professionals without any coding or technical background with the confidence to utilize Claude Code — Anthropic’s AI-driven coding and automation tool. The course focuses on building real projects, automating workflows, and integrating everyday tools using plain English.

Throughout the session, participants will use the Claude application (available via claude.ai and Claude Desktop) to complete practical tasks. These exercises range from initial interactions to linking Claude with external services through MCP (Model Context Protocol) connectors. The 7-hour program includes a dedicated Live Build Session where the group collaborates on workflows based on real problems submitted by participants. This high-energy segment teaches prompt evaluation in a way that solo practice cannot. By the end of the course, every participant will have created a functional project and connected 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)
• Collaborative Live Build Session addressing real workflow challenges submitted by participants
• Cumulative capstone project with a final 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 develop real projects, automate workflows, and integrate everyday tools using plain English.

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

Course Format

• Interactive lecture combined with 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 Turin (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 Turin (online or onsite) is designed for developers who wish to use GitHub Copilot Agent Mode to autonomously build features, run tests, and manage larger coding tasks.

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

Upon completing this course, participants will be able to:

• Gain a comprehensive understanding of the architecture and functionality of modern LLMs.
• Create structured and resilient technical prompts for styling, testing, refactoring, and automated QA.
• Develop AI-aware wrappers and microservices integrated into enterprise development ecosystems.
• Execute complete RAG pipelines for organizational knowledge retrieval.
• Oversee security, privacy, and audit considerations for AI-driven code and data interactions.

This instructor-led, live training in Turin (online or onsite) is designed for beginner, intermediate, and advanced professionals who wish to utilize Bolt.new to rapidly create 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 Turin (available online or onsite) is intended for developers who want to use Windsurf to build features conversationally, execute terminal workflows within the IDE, and refactor across the codebase.

By the end of this session, participants will be able to use Cascade for navigation, run 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 six layers: Role, Context, Constraints, Domain Standards, Format, and Examples.
• Encode business, security, and compliance constraints (such as GDPR, EU AI Act, and sector standards) directly into prompts.
• Co-create a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance frameworks, including the Prompt Curator role, 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 involving Architects, Developers, QA, and Team Leaders.
• Facilitated co-construction led by an architect-consultant: participants build real, operational deliverables.
• All co-created 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.