AI Agents Training in Porto

This instructor-led, live training in Porto (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.

This instructor-led live training in Porto (online or onsite) is designed for intermediate-level AI developers, security specialists, and compliance officers seeking to design and implement secure AI agents. The focus is on addressing ethical concerns and ensuring system robustness.

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

• Understand the security risks and ethical challenges associated with AI agent development.
• Implement security-first design principles for AI models.
• Apply adversarial robustness techniques to prevent attacks on AI agents.
• Ensure compliance with ethical AI guidelines and regulatory standards.

This hands-on course in Porto guides you through the process of deploying agentic AI on resource-constrained devices. You will learn to construct, optimize, and manage lightweight agents for local reasoning using Python, TensorFlow Lite, and PyTorch Mobile, ultimately enhancing speed, privacy, and reliability.

This instructor-led live training in Porto (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 live, instructor-led training in Porto (delivered online or on-site) is designed for beginner to intermediate-level developers and designers aiming to comprehend and construct AI-powered personal assistants for a wide range of applications.

By the conclusion of this training, participants will be capable of:

• Understanding the foundational principles of AI-driven personal assistants.
• Learning how to integrate language models with smart assistant platforms.
• Creating and customizing personal assistants using modern AI frameworks and tools.
• Rolling out personal assistants for practical applications across different industries.

This instructor-led live training in Porto (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 Porto (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 live training in Porto guides advanced professionals in designing and implementing multi-agent systems using Python. It covers agent coordination, reinforcement learning, and distributed computing with frameworks such as Mesa and Ray, culminating in a hands-on capstone project.

This live, instructor-led training in Porto—delivered online or on-site—targets intermediate-level financial professionals, risk analysts, and AI engineers aiming to develop and deploy AI-driven solutions for financial automation and fraud detection.

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

• Understand the role of AI in financial automation and fraud detection.
• Build AI models for detecting fraudulent transactions.
• Leverage machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

This instructor-led live training in Porto, delivered either online or on-site, is designed for customer service professionals, chatbot developers, and automation teams at beginner to intermediate levels who aim to adopt AI-driven solutions for support and service automation.

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

• Comprehend the fundamentals of AI-powered customer support.
• Develop and integrate AI chatbots for effective query management.
• Apply NLP and machine learning to enhance chatbot performance.
• Roll out AI agents in real-world customer service applications.

This instructor-led, live training in Porto (online or onsite) is designed for intermediate to advanced healthcare professionals and AI developers aiming to implement AI-driven healthcare solutions.

Upon completion 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 Porto (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.

This live, instructor-led course takes place in Porto (either online or on-site) and is designed for advanced professionals aiming to master the intricacies of deploying and managing AI agents in production.

By the conclusion of this training, participants will be capable of:

• Designing and executing scalable AI deployment pipelines.
• Utilizing Docker and Kubernetes to containerize and orchestrate AI agents.
• Overseeing and optimizing the performance of AI agents in production.
• Implementing streamlined CI/CD workflows for AI agent releases.
• Maintaining strict adherence to security and data governance protocols.

This live, instructor-led training in Porto, offered online or onsite, is tailored for advanced AI professionals looking to hone their reinforcement learning skills and implement them to build AI agents that solve complex problems.

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

• Comprehend the essential principles of reinforcement learning and Markov Decision Processes (MDPs).
• Develop and execute RL algorithms like Q-Learning, SARSA, and Deep Q-Networks (DQN).
• Apply frameworks such as OpenAI Gym and RL libraries to practical use cases.
• Equip AI agents to handle real-world, multi-step decision-making tasks.
• Tackle key challenges, including exploration-exploitation balance and convergence in RL training.

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

This instructor-led, live training in Porto (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.

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

This live, instructor-led training session in Porto (conducted online or on-site) is designed for entry-level professionals seeking to gain a deeper understanding of AI agent mechanics and to develop their own interactive chatbot systems.

By the conclusion of this training, participants will be capable of:

• Understanding the core fundamentals of AI agents and their practical applications.
• Exploring the foundational principles of Natural Language Processing (NLP).
• Designing structured conversational flows for chatbots.
• Building a functional chatbot using Python and relevant toolsets.
• Deploying the chatbot to facilitate interaction with real users.

This live, instructor-led programme (available both online and on-site) in Porto is designed for entry-level professionals aiming to comprehend and construct elementary AI agents for real-world deployment.

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

• Understand the core concepts associated with AI agents.
• Recognise the various types of AI agents and their respective applications.
• Design and execute basic AI agents for practical objectives.
• Explore the tools and frameworks utilized in AI agent development.

This instructor-led, live training in Porto (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 understand AI agent architecture on Alibaba Cloud, build a simple agent workflow, connect an agent to enterprise knowledge and tools, and deploy and monitor an agent within a cloud environment.

This instructor-led, live training in Porto (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

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

This instructor-led, live training in Porto (online or onsite) is designed for beginner, intermediate, and advanced developers, along with technical professionals who intend to utilise Microsoft Azure to build, test, and deploy AI agents for business purposes.

By the conclusion of this training, participants will be able to: comprehend AI agent architecture on Azure, create and configure a functional agent, link agents to corporate knowledge sources, and assess and prepare agents for deployment.

This instructor-led live training in Porto (online or onsite) targets software developers and DevOps teams who wish to utilize OpenAI Codex CLI to automate coding tasks, review code, and execute 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 Porto (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.

This instructor-led, live training in Porto (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 live, instructor-led training in Porto (available online or on-site) is designed for software developers and AI engineers seeking to utilise DeepSeek Harness for building, operating, and extending AI coding agents.

This instructor-led, live training in Porto (online or onsite) is aimed at intermediate-level solution architects, AI engineers, developers, and technical product teams who wish to use Tencent ADP to build enterprise AI agents with 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 guardrails.

This live, instructor-led training in Porto (available online or onsite) is designed for developers and technical practitioners at beginner, intermediate, and advanced levels. It focuses on using Google Cloud to develop AI agents that can automate tasks, utilise tools, and interact with business data.

By the end of this programme, participants will be able to explain AI agent principles, construct agents using Vertex AI, integrate agents with external tools and data sources, and deploy them for specific business scenarios.

This instructor-led, live training in Porto (online or onsite) targets 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, utilize over 40 built-in tools, and deploy on various backends.

This instructor-led, live training in Porto (available online or onsite) targets business users, operations teams, and technical professionals who wish to leverage Hermes Agent to automate work, create reusable AI-driven processes, and boost team productivity.

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

This instructor-led live training in Porto (delivered online or on-site) targets developers aiming to use Hermes Agent to design and execute secure local AI workflows for code assistance.

Upon completion, 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 Porto (online or onsite) is designed for developers and technical teams who aim to utilize Ollama and open models to build and operate private agentic AI solutions on internal infrastructure.

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

This instructor-led, live training in Porto (online or onsite) is aimed at 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 Porto (online or onsite) is aimed at beginner-, intermediate-, 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 best practices.

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

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

This instructor-led, live training in Porto (online or onsite) targets intermediate-to-advanced developers and technical professionals who wish to leverage 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 Porto (online or onsite) targets senior developers who wish to use 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 Porto (available 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, effectively set up and utilize the tool, apply it to practical coding tasks, and adopt safe team workflows.

This instructor-led live training in Porto (online or onsite) targets developers who wish to use Windsurf for conversational feature building, executing terminal workflows inside the IDE, and refactoring across the codebase.

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