AI Agents Training in Lisbon

This instructor-led, live training in Lisbon (online or onsite) is aimed at advanced-level AI engineers, robotics developers, and automation specialists who wish to leverage DeepSeek for building intelligent AI agents and autonomous systems.

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

• Understand the architecture and capabilities of DeepSeek AI models.
• Integrate DeepSeek into AI agents for decision-making and automation.
• Apply reinforcement learning techniques for training autonomous systems.
• Deploy AI-driven autonomous agents in real-world environments.

Autonomous AI agents are increasingly embedded within decision-making processes across sectors including defence, healthcare, finance, and infrastructure. As these systems evolve to operate with greater independence, there is a pressing need for robust ethical frameworks, governance structures, and regulatory oversight to direct their design and deployment.

This instructor-led, live training (available online or onsite) is designed for advanced-level professionals seeking to explore the ethical, societal, and regulatory implications of deploying autonomous AI agents in practical environments.

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

• Analyse the ethical risks and moral dilemmas presented by autonomous AI agents.
• Evaluate governance frameworks and regulatory models pertinent to high-stakes AI deployment.
• Assess mechanisms for accountability, explainability, and transparency within autonomous systems.
• Develop strategies to align AI agent behaviour with legal, ethical, and societal values.

Format of the Course

• Interactive lectures and discussions.
• Case studies and role-playing simulations.
• Practical analysis of governance models and ethical frameworks.

Course Customization Options

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

AI-powered automation merges the flexibility of no-code platforms with the intelligence of large language models and autonomous agents to develop scalable, intelligent systems.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals aiming to design, build, and optimize automation pipelines enriched with AI decision-making, orchestration, and self-execution capabilities.

Upon completing this training, participants will be equipped to:

• Design no-code automation workflows augmented by AI interpretation and responses.
• Utilize prompt chaining, webhook triggers, and APIs to construct scalable logic flows.
• Develop intelligent applications that seamlessly connect services and autonomously interpret data.
• Understand, design, and deploy AI agents capable of goal-oriented action planning and execution.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in 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 Lisbon (online or onsite) is designed for intermediate-level AI developers, security specialists, and compliance officers who aim to design and implement secure AI agents while addressing ethical considerations and system robustness.

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

• Grasp the security risks and ethical challenges associated with AI agent development.
• Apply security-first design principles to AI models.
• Utilize adversarial robustness techniques to safeguard AI agents against attacks.
• Ensure adherence to ethical AI guidelines and regulatory standards.

Edge & Lightweight Agents is a hands-on course designed for deploying agentic AI workloads on resource-constrained devices. Participants acquire the skills to build, optimize, and manage lightweight agents capable of local reasoning and inference, thereby enhancing speed, privacy, and reliability in distributed environments. The curriculum focuses on performance tuning, low-latency design, and hardware–software integration.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals seeking to implement and optimize on-device agentic systems using Python and edge AI frameworks.

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

• Grasp the architecture and challenges of running agentic AI on edge devices.
• Design lightweight agent loops tailored for constrained environments.
• Implement local inference using TensorFlow Lite, PyTorch Mobile, and ONNX.
• Integrate agents with sensors, actuators, and IoT platforms.
• Optimize performance, energy consumption, and latency for real-time operation.

Format of the Course

• Interactive lectures complemented by practical demonstrations.
• Hands-on development in local or emulated environments.
• Project-based learning supported by guided implementation exercises.

Course Customization Options

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

This instructor-led live training in Lisbon (online or onsite) is aimed at intermediate-level to advanced-level AI developers, researchers, and multimedia engineers who wish to build AI agents capable of understanding and generating multi-modal content.

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

• Develop AI agents that process and integrate text, image, and speech data.
• Implement multi-modal models such as GPT-4 Vision and Whisper ASR.
• Optimize multi-modal AI pipelines for efficiency and accuracy.
• Deploy multi-modal AI agents in real-world applications.

This instructor-led, live training in Lisbon (online or onsite) targets beginner to intermediate developers and designers who wish to understand and develop AI-powered personal assistants for diverse use cases.

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

• Comprehend the core principles of AI-powered personal assistants.
• Learn the fundamentals of integrating language models with smart assistants.
• Build and customize a personal assistant using AI frameworks and tools.
• Deploy personal assistants for real-world applications in various industries.

This instructor-led live training in Lisbon (online or onsite) is designed for advanced-level AI engineers, enterprise software developers, and business leaders who aim to customize and deploy LLM-based AI agents for enterprise applications.

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

• Understand the architecture and capabilities of open-source LLMs.
• Customize and fine-tune LLMs for enterprise use cases.
• Deploy AI agents using LangChain and Hugging Face.
• Integrate LLM-powered agents into business workflows.

This instructor-led, live training in Lisbon (online or onsite) is designed for advanced robotics engineers, AI researchers, and automation specialists seeking to develop AI-driven autonomous robotic systems for complex tasks and human-AI collaboration.

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

• Grasp the role of AI agents in robotic decision-making and automation.
• Implement AI-driven navigation and obstacle avoidance mechanisms.
• Develop robotic systems that enable human-AI collaboration.
• Deploy AI-powered perception and control systems within robots.

This course delves into the design, coordination, and implementation of multi-agent systems (MAS) using Python. Participants will learn how to construct agents that communicate, collaborate, and adapt to achieve shared objectives within complex, dynamic environments.

This instructor-led live training (available online or onsite) is designed for advanced professionals aiming to develop and deploy multi-agent systems for intelligent automation, simulation, and decision-making applications.

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

• Grasp the architecture and core principles of multi-agent systems.
• Develop agents capable of communication, coordination, and negotiation.
• Implement distributed environments for agent interactions.
• Apply reinforcement learning and planning techniques in multi-agent contexts.
• Simulate cooperative and competitive agent behaviours.
• Design hybrid workflows that integrate humans with intelligent agents.

Course Format

• Instructor-led lectures and live demonstrations.
• Hands-on exercises utilising open-source agent frameworks.
• Applied group project simulating a multi-agent scenario.

Course Customisation Options

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

This instructor-led, live training in Lisbon (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who wish to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

• Grasp the role of AI in financial automation and fraud detection.
• Construct AI models capable of detecting fraudulent transactions.
• Apply machine learning techniques for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

This instructor-led, live training in Lisbon (online or onsite) is aimed at beginner-level to intermediate-level customer service professionals, chatbot developers, and automation teams who wish to implement AI-driven solutions for customer support and service automation.

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

• Understand the fundamentals of AI-powered customer support.
• Develop and integrate AI chatbots for handling customer queries.
• Leverage NLP and machine learning to enhance chatbot interactions.
• Deploy AI agents in real-world customer service applications.

This instructor-led, live training in Lisbon (online or onsite) is aimed at intermediate-level to advanced-level healthcare professionals and AI developers who wish to implement AI-driven healthcare solutions.

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

• Grasp the role of AI agents in healthcare and diagnostics.
• Develop AI models for medical image analysis and predictive diagnostics.
• Integrate AI with electronic health records (EHR) and clinical workflows.
• Ensure compliance with healthcare regulations and ethical AI practices.

This instructor-led, live training in Lisbon (online or onsite) is aimed at beginner-level to intermediate-level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants.

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

• Design effective conversational AI workflows and UI/UX interfaces.
• Implement AI-driven natural language processing (NLP) models.
• Integrate AI assistants with APIs and third-party platforms.
• Deploy and maintain AI assistants for real-world applications.

Mistral AI offers a robust suite of open-source and enterprise-grade AI models designed for language processing, multimodal applications, and agentic systems.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals aiming to build, deploy, and manage AI agents utilizing Mistral’s Medium 3, Le Chat Enterprise, and Devstral models.

Upon completion, participants will be able to:

• Comprehend the architecture and functionalities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents using Mistral models tailored for enterprise and developer scenarios.
• Integrate coding systems, connectors, and enterprise data into agent workflows.
• Optimize performance, cost-efficiency, and compliance for agents powered by Mistral.

Course Format

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

Course Customization Options

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

Python serves as the foundational language for developing and orchestrating autonomous AI agents. This course emphasizes practical implementation, leveraging modern SDKs and frameworks such as LangChain and AutoGen to construct, interconnect, and manage agent workflows.

This instructor-led live training (available online or onsite) is designed for intermediate-level backend, platform, and ML engineers seeking to implement and orchestrate autonomous agents using Python tooling and APIs.

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

• Setting up and configuring Python environments tailored for agentic systems.
• Utilizing popular agent SDKs, including LangChain and AutoGen, to develop functional agents.
• Integrating tools and APIs to expand agent capabilities.
• Orchestrating multi-agent workflows and communication patterns.
• Applying best practices for debugging, testing, and maintaining agentic codebases.

Course Format

• Interactive lectures and discussions.
• Hands-on programming exercises and live demonstrations.
• Practical projects focusing on end-to-end agent workflow creation.

Course Customization Options

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

This course provides practical engineering methodologies for designing, constructing, testing, and deploying autonomous (agentic) systems using Python. It explores the agent lifecycle, tool integrations, memory and state management, orchestration patterns, safety controls, and critical production considerations.

Delivered as an instructor-led, live training session (available online or onsite), this program is tailored for intermediate to advanced ML engineers, AI developers, and software engineers aiming to build robust, production-ready autonomous agents using Python.

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

• Design and implement the agent loop alongside decision-making workflows.
• Integrate external tools and APIs to expand agent capabilities.
• Develop short-term and long-term memory architectures for agents.
• Coordinate multi-step orchestrations and ensure agent composability.
• Apply best practices for safety, access control, and observability in deployed agents.

Course Format

• Interactive lectures and discussions.
• Hands-on labs involving the construction of agents with Python and popular SDKs.
• Project-based exercises that result in deployable prototypes.

Course Customization Options

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

This guided, live training in Lisbon (online or onsite) is designed for experienced professionals aiming to master the skills required to deploy and manage AI agents in production.

Upon completing this training, participants will be able to:

• Design and build scalable AI deployment pipelines.
• Utilise tools such as Docker and Kubernetes to containerise and manage AI agents.
• Monitor and fine-tune AI agents within production environments.
• Establish CI/CD workflows for AI agent deployments.
• Guarantee adherence to security and data governance standards.

This instructor-led, live training session in Lisbon (available online or onsite) is targeted at advanced-level AI professionals who aim to master reinforcement learning techniques and apply them to train AI agents for solving complex problems.

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

• Understand the core principles of reinforcement learning and Markov Decision Processes (MDPs).
• Design and implement RL algorithms such as Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Utilize frameworks like OpenAI Gym and RL libraries for practical applications.
• Train AI agents to solve real-world, multi-step decision-making problems.
• Address challenges such as exploration-exploitation trade-offs and convergence in RL training.

This instructor-led, live training in Lisbon (available online or onsite) is designed for intermediate-level AI developers and automation specialists seeking to integrate agentic capabilities into AI-powered applications.

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

• Grasp the fundamental principles of agentic AI and autonomous decision-making.
• Develop goal-oriented AI agents utilizing self-optimization methods.
• Implement multi-agent collaboration frameworks for tackling complex challenges.
• Improve AI-human engagement through adaptive user experiences.
• Deploy agentic AI models within real-world applications.

This instructor-led, live training in Lisbon (online or onsite) targets advanced-level AI professionals seeking to master the skills necessary to design, build, and deploy MAS that solve complex, real-world problems.

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

• Understand the principles of multi-agent system architectures.
• Implement strategies for communication, coordination, and decision-making in MAS.
• Apply game theory to model agent interactions and resolve conflicts.
• Leverage frameworks like JADE to create scalable MAS solutions.
• Address challenges like scalability, trust, and emergent behaviour in MAS.

This instructor-led, live training in Lisbon (online or onsite) targets advanced professionals aiming to develop and optimize multi-agent systems using Agentic AI frameworks.

Upon completion, participants will be able to:

• Understand the principles of Agentic AI in multi-agent environments.
• Develop AI-driven agents that interact autonomously.
• Implement reinforcement learning for adaptive AI behavior.
• Optimize multi-agent collaboration and competition.
• Apply Agentic AI in robotics, gaming, and enterprise automation.

Designed for intermediate-level business analysts, RPA developers, and AI professionals seeking to leverage AI agents for business process automation, this instructor-led, live training is available in Lisbon (online or onsite).

Upon completing this training, participants will be capable of:

• Grasping the role of AI agents in business process automation.
• Identifying automation opportunities within core business domains.
• Creating AI-driven solutions for customer support, finance, and supply chain workflows.
• Integrating AI agents with existing RPA and business systems.
• Assessing and refining AI automation strategies to enhance efficiency.

Vertex AI Agent Builder offers a no-code or low-code environment for constructing grounded agents that merge generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly develop agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led training, available online or onsite, targets intermediate practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder alongside RAG patterns.

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

• Designing grounded agent workflows via Agent Builder.
• Implementing RAG pipelines utilizing search and vector stores.
• Securely integrating enterprise data sources for retrieval purposes.
• Evaluating and refining agent behavior through testing and performance metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs involving Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and refining agents.

Customization Options

• To request customized training for this course, please get in touch to arrange it.

This instructor-led, live training in Lisbon (online or onsite) is designed for intermediate-level game developers and AI enthusiasts eager to effectively integrate AI agents into gaming applications.

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

• Comprehend the role of AI agents in contemporary gaming.
• Construct decision-making systems using decision trees and finite state machines.
• Implement pathfinding algorithms, such as A*, for in-game navigation.
• Utilize reinforcement learning techniques to create adaptive AI behaviors.
• Optimize AI performance for real-time gaming environments.

Large language models (LLMs) and autonomous agent frameworks, such as AutoGen and CrewAI, are transforming how DevOps teams automate processes like change tracking, test generation, and alert triage by emulating human-like collaboration and decision-making.

This instructor-led live training, available online or onsite, is tailored for advanced engineers looking to design and implement DevOps automation workflows driven by LLMs and multi-agent systems.

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

• Integrate LLM-based agents into CI/CD workflows for intelligent automation.
• Automate test generation, commit analysis, and change summaries using agents.
• Orchestrate multiple agents to triage alerts, generate responses, and provide DevOps recommendations.
• Construct secure and maintainable agent-powered workflows using open-source frameworks.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Lisbon (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios.

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

• Understand the principles of autonomous decision-making in AI.
• Design and implement AI agents that operate with minimal human intervention.
• Integrate Agentic AI into automation workflows and business systems.
• Optimize AI-driven decision processes for efficiency and scalability.
• Ensure compliance, security, and ethical considerations in AI autonomy.

This instructor-led, live training in Lisbon (online or onsite) targets intermediate-level professionals eager to explore the design and development of autonomous agents for practical applications.

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

• Grasp the foundational principles of autonomous agents.
• Examine real-world applications of autonomous AI agents.
• Design, train, and deploy agents using reinforcement learning.
• Integrate agents into existing systems to streamline automation and decision-making.
• Navigate ethical considerations and challenges associated with deploying autonomous agents.

Devstral is an open-source framework engineered to build and operate coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led live training (available online or onsite) targets intermediate to advanced-level ML engineers, developer-tooling teams, and SREs who aim to design, implement, and optimize coding agents using Devstral.

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

• Configure and set up Devstral for coding agent development.
• Design agentic workflows tailored for codebase exploration and modification.
• Integrate coding agents seamlessly with developer tools and APIs.
• Apply best practices for secure and efficient agent deployment.

Course Format

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

Customization Options

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

This instructor-led, live training in Lisbon (online or onsite) targets beginner-level professionals who wish to understand how AI agents function and develop their own interactive chatbot systems.

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

• Grasp the fundamentals of AI agents and their applications.
• Explore the principles of natural language processing (NLP).
• Design a conversational flow for a chatbot.
• Develop a functional chatbot using Python and related tools.
• Deploy the chatbot to interact with real users.

This instructor-led, live training in Lisbon (online or onsite) is designed for beginner-level professionals who wish to understand and create simple AI agents for real-world applications.

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

• Understand the fundamental concepts of AI agents.
• Identify different types of AI agents and their applications.
• Design and implement basic AI agents for practical tasks.
• Explore tools and frameworks for building AI agents.

This instructor-led live training in Lisbon (online or onsite) is designed for beginner to intermediate developers and cloud practitioners who wish to use Alibaba Cloud to build AI agents that can automate tasks, answer queries, and integrate with business systems.

By the end of this training, participants will be able to: comprehend AI agent architecture on Alibaba Cloud, construct a basic agent workflow, link an agent to enterprise knowledge and tools, and deploy and monitor an agent within a cloud environment.

This advanced practical seminar is tailored for software engineers, architects, technical leads, engineering managers, and delivery teams keen on understanding how Artificial Intelligence can accelerate the entire software delivery lifecycle, from initial requirements analysis to production-ready code.

This instructor-led, live training in Lisbon (online or onsite) targets developers and technical professionals at beginner, intermediate, and advanced levels who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to understand AI agent architecture on Azure, create and configure a functional agent, link agents to business knowledge sources, and evaluate and prepare agents for deployment.

This instructor-led, live training in Lisbon (online or onsite) is aimed at software developers and DevOps teams who wish to use OpenAI Codex CLI to automate coding tasks, review code, and run multi-step workflows from the terminal.

By the end of this training, participants will be able to install and configure Codex CLI, execute tasks via natural language prompts, manage approval modes, and integrate with Git and CI pipelines.

This instructor-led, live training in Lisbon (online or on-site) is designed for developers wishing to utilize GitHub Copilot Agent Mode to autonomously build features, run tests, and manage complex coding tasks.

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

This instructor-led, live training in Lisbon (online or onsite) is aimed at developers and leads who wish to use Cursor to build features faster, refactor across files, and manage team-wide AI workflows.

By the end of this training, participants will be able to navigate using Composer and agent mode, target code with context-aware chat, deploy team workspaces, and integrate Cursor with version control.

This instructor-led, live training in Lisbon (online or onsite) is designed for intermediate-level solution architects, AI engineers, developers, and technical product teams who wish to use Tencent ADP to build enterprise AI agents featuring RAG, workflow automation, and operational guardrails.

By the end of this training, participants will be able to design ADP-based agents, create knowledge pipelines, orchestrate workflows and multi-agent patterns, and apply production-grade guardrails.

This instructor-led live training in Lisbon (online or onsite) is aimed at beginner, intermediate, and advanced developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, utilize tools, and interact with business data.

By the end of this training, participants will be able to explain AI agent concepts, build agents using Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

This instructor-led, live training in Lisbon (online or onsite) is aimed at developers and DevOps professionals who wish to use Hermes Agent to automate development tasks, manage infrastructure, and build persistent AI workflows.

By the end of this training, participants will be able to install and configure Hermes Agent, interact with it across multiple platforms, use 40+ built-in tools, and deploy on various backends.

This instructor-led, live training in Lisbon (online or onsite) is aimed at business users, operations teams, and technical professionals who wish to use Hermes Agent to automate work, create reusable AI-driven processes, and improve team productivity.

By the end of this training, participants will be able to: explain Hermes Agent basics, set up and use core features, build practical workflows, and apply good operational practices.

This instructor-led live training, delivered Lisbon (online or onsite), is aimed at developers who wish to use Hermes Agent to design and run secure local AI workflows for code assistance.

By the end of this training, participants will be able to explain Hermes Agent concepts, set up secure local agent environments, build practical coding workflows, and apply safety and governance controls.

This instructor-led live training in Lisbon (available online or onsite) is designed for developers and technical teams looking to utilize Ollama and open models to build and run private agentic AI solutions on internal infrastructure.

By the end of this training, participants will be able to: install and configure Ollama, evaluate and execute open models locally, create simple agentic and retrieval-based workflows, and apply security and governance controls suitable for regulated environments.

This instructor-led, live training in Lisbon (online or onsite) is designed for backend developers who wish to build MCP-compatible tool servers and integrate them with agent clients.

By the end of this training, participants will be able to implement MCP servers, connect them to Claude Code and OpenClaude, switch transports, and maintain an internal tool registry.

This instructor-led, live training in Lisbon (online or onsite) is aimed at beginner-level, intermediate-level, or advanced-level AI professionals who wish to use MCP to connect AI assistants with external tools, data, and enterprise services.

By the end of this training, participants will be able to: explain MCP concepts, identify key architecture components, set up a basic integration, and apply security good practices.

This instructor-led, live training in Lisbon (online or in-person) is designed for beginner to intermediate-level developers and technical teams who wish to use OpenAI APIs to build AI agents that can reason, utilise tools, and complete multi-step tasks.

By the end of this training, participants will be able to: design agent workflows, integrate tools and external data, manage context and responses, and test agents for business use.

This instructor-led live training in Lisbon (online or onsite) is aimed at intermediate-level / advanced-level developers and technical professionals who wish to use OpenClaw to build and run practical AI agents that automate work through chat and tool integrations.

By the end of this training, participants will be able to: install and configure OpenClaw, connect an LLM provider, use and adapt skills for automation, and apply basic security and operational guardrails.

This instructor-led, live training in Lisbon (online or onsite) targets senior developers who wish to utilize Pi to build lightweight, customizable terminal agent workflows.

By the end of this training, participants will be able to install Pi, extend it with TypeScript skills, adapt workflows to team standards, and share extensions via npm.

This instructor-led live training in Lisbon (online or onsite) is designed for developers who wish to use Pi Coding Agent to generate code, review changes, and streamline terminal-based development workflows.

By the end of this training, participants will be able to: explain Pi Coding Agent concepts, set up and utilize the tool effectively, apply it to practical coding tasks, and adopt secure team workflows.

This instructor-led, live training in Lisbon (online or onsite) is aimed at developers who wish to use Windsurf to build features conversationally, execute terminal workflows inside the IDE, and refactor across the codebase.

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