AI in Software Development Training in Coimbra

This instructor-led live training in Coimbra (online or onsite) is designed for intermediate-level software professionals who want to utilise AI and machine learning to boost efficiency and drive innovation in their development work.

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 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 associated with AI-augmented software engineering.

This live, instructor-led training in Coimbra explores the core principles and practical fundamentals of Graphite. It enables participants to develop hands-on skills in code review, automation, and DevOps integration, directly applicable to real-world enterprise development environments and modern business requirements.

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

This live, instructor-led training in Coimbra assists teams in integrating Cursor to optimise collaboration and code reviews. Participants will learn to manage workspaces, automate AI-assisted PRs, enforce governance policies, and link Cursor to CI/CD pipelines to ensure consistent quality.

This instructor-led, live training delivered in Coimbra (online or onsite) caters to intermediate-level participants seeking to utilize GitHub Copilot for complex coding scenarios, enhance productivity, and integrate Copilot into their development workflows.

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

• Optimize their deployment of GitHub Copilot for advanced coding tasks.
• Craft more efficient, bug-free, and maintainable code using Copilot suggestions.
• Incorporate GitHub Copilot into their chosen IDEs and workflows.
• Apply Copilot for debugging and refactoring code.
• Comprehend the limitations and ethical aspects of using AI-assisted coding tools.

Gain mastery over Devstral through this live training session hosted in Coimbra. The curriculum delves into core architecture, the design of agentic workflows, and seamless tool integration. Specifically designed for advanced engineers, the course employs hands-on laboratory sessions to enable the construction of coding agents that elevate both productivity and security within contemporary development environments.

This instructor-led, live training in Coimbra (online or onsite) is aimed at beginner-level developers who wish to understand GitHub Copilot's capabilities, set it up, and use it effectively to enhance their coding experience.

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

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

This instructor-led, live training in Coimbra (online or onsite) is intended for participants at the beginner level 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.

Delivered live by an instructor (either online or on-site), this training is tailored for intermediate software developers seeking to improve productivity and code quality by employing AI-assisted coding with Cursor.

By the end of the program, learners will be capable of:

• Installing and configuring Cursor for AI-assisted development tasks.
• Integrating Cursor into Git repositories and daily development routines.
• Using natural language commands to generate, troubleshoot, and refine code.
• Harnessing AI capabilities for refactoring, creating documentation, and conducting tests.

This instructor-led, live training in Coimbra (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 Coimbra (online or onsite) is aimed at beginner-to-intermediate-to-advanced product teams, developers, and technical business users who wish to leverage Lovable to build production-ready applications more efficiently, with improved structure, quality, and deployment practices.

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

This instructor-led, live training in Coimbra (online or onsite) is aimed at intermediate-level software engineers and technical leads who wish to use Claude Code to accelerate development workflows and improve team productivity with AI-assisted coding.

By the end of this training, participants will be able to install and configure Claude Code, navigate, generate and improve code using AI, integrate AI workflows with Git, and design scalable AI-assisted processes.

This live, instructor-led training in Coimbra is tailored for intermediate to advanced developers and tech leads looking to configure and scale Claude Code for reliable team usage.

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

• Structure CLAUDE.md files, settings, and permissions for repositories and teams
• Create custom subagents with focused roles and tool access
• Write hooks that enforce formatting, tests, and safety rules automatically
• Package recurring workflows as Skills, slash commands, and plugins
• Connect Claude Code to external systems through MCP servers
• Run Claude Code non-interactively in scripts and CI pipelines, and review its output critically

This live, instructor-led course in Coimbra is tailored for business users seeking to build simple internal tools and prototypes without writing code.

By the conclusion of this training, participants will have the ability to:

• Describe a small tool’s functionality so that AI can construct it
• Construct a working prototype using Lovable
• Utilize Claude Code for simple helper tools with guided support
• Determine when a prototype requires assistance from a developer

This instructor-led, live training in Coimbra (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.

Course objectives turn 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 two-day programme guides teams from an initial brief to a validated, live first version. It encompasses prototyping, data and role management, real-time iteration with stakeholders, user testing, security protocols, deployment, and the transition to development. Throughout the course, participants focus on their specific use cases.

Tim Jamboula, an official Lovable and Cursor Ambassador, leads the training.

This instructor-led, live session in Coimbra is designed for: Product teams, innovation managers, founders, and departments seeking to transform ideas into tested prototypes and functional first versions.

Upon completion, participants will be equipped to:

• Develop interactive prototypes from concise briefs
• Refine prototypes in real-time with stakeholders
• Configure data structures, roles, authentication, and integrations
• Conduct user testing and apply feedback
• Establish security, deployment, and operational standards for the first release
• Structure the handover to developer teams

Course Structure

• Duration: 2 days (7 hours per day), limited to 6–12 participants
• Interactive learning involving instructor-led guidance, discussions, and practical exercises based on participants' specific projects
• Day 1 Outcome: Each participant will have a prototype featuring a database and login, refined through simulated stakeholder interactions.
• Day 2 Outcome: Each participant will possess a deployed, tested first version of their solution, along with a comprehensive handover document.

Customisation Options

• Contact us to request a tailored training experience for this course.

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 (including GDPR, EU AI Act, and sector standards) directly into prompts.
• Co-build a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance mechanisms: Prompt Curator role, naming conventions, versioning, and quality metrics.
• Leave 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 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.