AI in Software Development Training in Braga

This instructor-led live training in Braga (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 instructor-led, live training in Braga (online or on-site) targets intermediate to advanced participants looking to optimise 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 Braga (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 live, instructor-led training in Braga 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.

This instructor-led training in Braga empowers advanced developers to master prompt engineering, fine-tuning, and custom tooling within Cursor. Participants will learn to define precise AI behaviours, integrate internal knowledge bases, and create secure, domain-adapted extensions for enterprise workflows.

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

Gain mastery over Devstral through this live training session hosted in Braga. 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 session on Braga guides developers in adopting Cursor, an AI-enabled editor that enhances productivity through intelligent completions and contextual editing. Participants will develop practical skills in refactoring, secure review of AI suggestions, and team collaboration to refine their workflows.

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

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 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 Braga (available online or onsite) targets entry-level professionals who want to use Replit AI to build, test, and deploy simple applications with greater speed.

By the conclusion of the training, participants will be capable of: generating applications from prompts, enhancing code with AI assistance, managing configurations securely, and launching a functional application.

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

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

This instructor-led live training in Braga is designed for intermediate-level developers who wish to take a project from idea to a deployed, production-ready application using Claude Code.

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

• Configure Claude Code and guide it effectively using a CLAUDE.md file.
• Scaffold an application and integrate data sources and a CMS.
• Build tests and run quality assurance with subagents.
• Set up automated deployment to Vercel or Cloud Run.

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.

Lovable converts natural language prompts into functional web applications, serving as an excellent tool for creating internal tools, forms, dashboards, and prototypes. This one-day course explores the user interface, prompting strategies, database management, authentication, and publishing. The session concludes with a deployed application and the initiation of a personalized use case. No programming background is needed.

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

This live, instructor-led training in Braga is tailored for specialists, project leads, founders, and teams who wish to build internal tools, forms, dashboards, or prototypes independently.

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

• Understand the process of AI-assisted building and identify scenarios where Lovable is the most suitable tool
• Confidently operate the interface, including Plan, Build, and Visual Edits features
• Craft prompts based on five key principles and effectively utilize knowledge and skills
• Set up databases, login systems, storage, and connectors
• Safely publish applications and perform security scans
• Begin a personal use case and understand the roadmap for next steps

Course Format

• Duration: 1 day (7 hours)
• Interactive training sessions with a trainer, including discussions and hands-on exercises applied to participants' own use cases
• Outcome, Day 1: Each participant will have a published app with a database, login, and live URL, as well as a started personal use case.

Course Customization Options

• Contact us to arrange a customized training package 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.