AI in Software Development Training in Évora

This advanced training in Évora focuses on GitHub Copilot and AI applications for corporate infrastructure. It empowers managers with the skills necessary to refine project management, optimize workflows, and elevate decision-making through AI tools, with a particular emphasis on large-scale enterprise projects.

This instructor-led live training in Évora (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 Évora (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 Évora (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 Évora (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.

This instructor-led training in Évora 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.

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

This instructor-led, live training in Évora (online or onsite) is designed for beginner to intermediate 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.

Gain mastery over Devstral through this live training session hosted in Évora. 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 Évora (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 Évora (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 Évora (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 Évora (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 Évora (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.

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.

Create interactive prototypes in a matter of hours to move beyond static mockups in discovery and stakeholder reviews. This one-day course guides product managers and designers through building variants, mapping a design system, conducting live reviews, and preparing the handover to development. By the end, participants will have a prototype for a feature of their own.

The trainer, Tim Jamboula, is an official Lovable Ambassador and Cursor Ambassador.

This instructor-led, live training in Évora is designed for: Product managers, product owners, UX, UI and service designers, and discovery teams.

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

• Master the process from briefing to interactive prototype in a single session
• Develop multiple variants in parallel and refine them using user feedback
• Map design systems, components, and brand rules in Lovable
• Conduct stakeholder reviews using working prototypes and live adjustments
• Determine when to hand over to development and prepare the necessary handover

Course Format

• Duration: 1 day (7 hours)
• Interactive training with a trainer, including discussions and hands-on exercises based on participants' own use cases
• Outcome, Day 1: Each participant will have an interactive prototype for a specific feature, a saved design system, and a handover document for development.

Course Customisation Options

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

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.