Artificial Intelligence (AI) Training in Porto

This instructor-led, live training in Porto (available online or onsite) is designed for beginner to intermediate content creators, entrepreneurs, and technology enthusiasts eager to harness the power of AI for innovative media production and business growth.

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

• Create realistic voice clones for various applications.
• Manipulate video content using DeepFake technology for creative or educational purposes.
• Adopt ethical AI practices for content creation.
• Leverage AI tools to enhance business operations and creative output.
• Master AI media technologies for advanced applications.

This instructor-led live training in Porto (online or on-site) targets intermediate IT professionals who wish to learn how to leverage AWS tools and services to efficiently build, train, and deploy AI models.

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

• Comprehend the AI/ML services offered by AWS.
• Set up and manage AI/ML environments on AWS.
• Acquire practical experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to apply various AWS AI services to specific use cases.

This instructor-led, live training in Porto (online or onsite) is aimed at intermediate-level media professionals who wish to use AI tools to generate content, verify facts, automate editing tasks, and optimize workflows in digital journalism.

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

• Leverage AI tools for drafting news articles, headlines, and summaries.
• Use AI to fact-check, detect bias, and suggest improvements in tone and clarity.
• Automate repetitive newsroom tasks like transcription and tagging.
• Apply ethical and editorial standards in AI-assisted content production.

This instructor-led live training in Porto (online or onsite) is designed for intermediate to advanced cybersecurity professionals and technical leads who wish to learn how to deploy AI models to strengthen security workflows, automate threat detection and response, and conduct predictive analysis.

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

• Grasp the role of AI in modern cyber security.
• Construct machine learning models for anomaly and threat detection.
• Deploy AI to automate incident response and security operations.
• Assess the ethical and operational implications of AI in cybersecurity.

This instructor-led, live training in Porto (online or onsite) is designed for managers and business leaders who want to learn the fundamentals of artificial intelligence and manage AI projects for their organization.

By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.

This instructor-led live training in Porto (available online or onsite) targets managers and business leaders interested in understanding the basics of artificial intelligence and managing AI projects for their organizations.

By the end of this training, participants will possess a technical understanding of AI and be equipped to strategize using their organization’s data and resources to successfully manage AI projects.

This instructor-led, live training in Porto (online or onsite) is aimed at beginner-level to intermediate-level business professionals and team leaders who wish to explore the value of AI through real-world cases and hands-on exercises.

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

• Understand key AI concepts relevant to their industry.
• Identify opportunities where AI can enhance their operations or customer experience.
• Experiment with basic AI tools through guided practical activities.
• Assess how to start small with AI in their own workplace.

This instructor-led, live training in Porto (online or onsite) is designed for intermediate-level educators and edtech professionals who wish to harness Generative AI to personalize education and enrich learning experiences.

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

• Grasp the principles and practical applications of Generative AI within the educational context.
• Design personalized learning materials and pathways using AI technologies.
• Employ AI tools to facilitate classroom management and content creation.
• Navigate the ethical implications associated with using AI in education.
• Formulate strategies for integrating AI into educational curricula and administrative workflows.

This practical, no-code training in Porto focuses on applying AI to logistics and supply within the fuel sector. Learners will master tools like Excel, Power BI, and ChatGPT to handle route planning, demand forecasting, cost estimation, and KPI visualization—without requiring any programming experience.

This intermediate training in Porto equips Python developers to design and deploy AI solutions using advanced libraries. You will implement supervised, unsupervised, and reinforcement learning models, optimize neural networks, and effectively integrate AI into real-world workflows.

This instructor-led training in Porto is designed to help intermediate HR professionals integrate AI into hiring, onboarding, and talent management. Participants will gain the skills to design ethical workflows, craft effective prompts, and measure the tangible impact of AI tools on real-world HR operations and business processes.

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 21-hour instructor-led course in Porto equips data engineers and DBAs with the skills to integrate AI models into PostgreSQL. Participants will learn to deploy optimized architectures, implement vector search, and enforce strict governance, ensuring secure and high-performance enterprise-grade AI solutions.

This instructor-led, live training in Porto (online or onsite) targets intermediate to advanced participants aiming to optimize customer care operations using AI and automation, while equipping their teams with the latest tools and strategies.

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

• Understand the latest trends in customer care and customer success.
• Leverage AI and automation to improve customer satisfaction and reduce workloads.
• Optimize sales workflows and customer engagement using advanced automation.
• Train teams remotely on modern tools and strategies for customer success and sales.
• Create scalable solutions to improve customer experiences and drive revenue growth.

This instructor-led, live training in Porto (online or onsite) is aimed at beginner-level to intermediate-level data scientists and software developers who wish to learn about Milvus and its practical applications in various AI scenarios.

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

• Understand the architecture and features of Milvus.
• Implement vector databases in different AI applications.
• Perform similarity searches with high accuracy and speed.
• Apply Milvus to real-world AI challenges.

This instructor-led, live training in Porto (online or onsite) targets beginner to intermediate developers and architects who wish to learn the fundamentals of intelligent driving and how to apply them to real-world scenarios.

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

• Explain the basic concepts and principles of AI and how it can be applied to driving.
• Understand the architecture and components of intelligent driving systems.
• Create and visualize a composite driving model from different design disciplines.
• Communicate and annotate issues and feedback within the model.
• Perform clash detection and resolution between driving scenarios.
• Simulate and control driving schedules and costs.

This instructor-led, live training in Porto (delivered online or on-site) is designed for data scientists and software developers with beginner to intermediate experience. The focus is on learning how to leverage Pinecone for a range of AI use cases, from semantic search to personalized user experiences.

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

• Comprehend the architecture and distinctive features of Pinecone.
• Deploy vector databases within various AI application contexts.
• Conduct similarity searches with exceptional accuracy and speed.
• Utilize Pinecone to solve practical, real-world AI problems.

This instructor-led, live training in Porto (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.

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

• Learn the concept of Artificial Intelligence (AI).
• Understand the limits and dangers of AI and use it responsibly.
• Know how to effectively use AI in real-world scenarios.

This instructor-led, live training in Porto (online or onsite) is aimed at beginner-level IT professionals who wish to gain both theoretical knowledge and practical understanding of AI concepts, ensuring they are well-prepared to pass the BCS Foundation Certificate exam and apply AI solutions effectively in their professional roles.

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

• Understand core concepts of artificial intelligence (AI).
• Learn about AI applications, techniques, and tools.
• Identify the benefits, risks, and challenges associated with AI.
• Gain insights into ethics and governance in AI.
• Be prepared to take the BCS Foundation Certificate in AI exam.

NobleProg is a BCS Accredited Training Provider.
This course will be delivered by an expert NobleProg trainer approved by BCS.

This instructor-led live training, delivered in Porto (either online or onsite), targets intermediate to advanced data scientists and machine learning engineers who aim to master the utilization of vector databases for scalable, high-performance AI applications.

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

• Understand the principles of vector databases.
• Learn techniques for creating and managing vector embeddings.
• Explore indexing strategies for high-dimensional data.
• Develop skills for performing efficient similarity searches.
• Apply vector database knowledge to machine learning projects.

This instructor-led, live training in Porto (online or onsite) is aimed at beginner-level IT professionals who wish to learn about the potential benefits, risks, and challenges of implementing AI projects.

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

• Understand the fundamental concepts, techniques, and ethical considerations of AI.
• Be familiar with real-world applications and challenges in AI.
• Gain confidence to take the BCS Essentials Certificate in Artificial Intelligence exam.
• Develop a practical approach to AI implementation in their professional environments.

NobleProg is a BCS Accredited Training Provider.
This course will be delivered by an expert NobleProg trainer approved by BCS.

Course Overview

This practical two-day course is designed for engineers already comfortable with the fundamentals of LLM security, who now need to build, test, and defend agentic AI systems within a government context. The programme provides an in-depth exploration of the OWASP Top 10 for Agentic Applications (2026), complemented by hands-on AI red-teaming, RAG security, MCP (Model Context Protocol) server security, and secure architecture patterns for multi-step, tool-using AI workflows.

It is specifically tailored for engineering teams at i.AI, digital service teams, and departmental platform teams that are transitioning from simple chatbots to autonomous and semi-autonomous AI systems.

By the end of day two, delegates will have conducted live red-teaming exercises, constructed a defensive architecture for an agentic workflow, and departed with a ready-to-use playbook for their department.

This course provides participants with the AI literacy to be the business AI leader in theirorganizations, to understand AI concepts and use cases, to converse on a qualifi ed level with the dataspecialists, to create an AI strategy and develop an AI-ready organization, to know how to set up andrun an AI project and to assess the make or buy decision of tooling.

This instructor-led, live training (available online or onsite) is aimed at team leaders and middle managers who want to adopt AI safely and effectively by addressing the human factors that drive success: trust, accountability, decision habits, and psychological safety.

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

• Define when to use AI and when not to (stop rules).
• Verify AI outputs with practical standards (red flags, second source).
• Set accountability and escalation triggers.
• Build team agreements and a 30-day adoption plan.

Course Overview

A practical one-day course that gives software engineers, platform developers, and technical leads a working foundation in AI-specific security threats and mitigations. The focus is on the OWASP Top 10 for Large Language Model Applications (2025) and the day-to-day security considerations developers need when building AI-powered government services.

It is designed as an accessible on-ramp for engineering teams working across i.AI, digital services, and departmental engineering functions who are integrating LLMs and AI features into their code today.

By the end of the day, delegates leave with a shared security baseline, a working threat model for their own AI features, and a prioritised list of quick wins they can apply the following week.

This instructor-led, live training in Porto (online or onsite) is designed for intermediate to advanced professionals, business leaders, and policymakers who wish to examine AI’s role in business, society, and future developments.

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

• Understand how AI influences business, the economy, and workforce dynamics.
• Identify ethical, legal, and societal challenges associated with AI adoption.
• Analyze the role of AI in privacy, governance, and inclusion.
• Evaluate strategies to address AI bias and ethical concerns.
• Discuss AI’s future potential and emerging challenges.

This instructor-led, live training in Porto (online or onsite) is aimed at system administrators and DevOps engineers who wish to deploy, configure, and manage EXO clusters for private LLM inference across multiple Apple Silicon or Linux nodes.

This instructor-led, live training in Porto (online or onsite) is aimed at DevOps engineers and infrastructure architects who wish to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.

This live, instructor-led training provides a practical, non-academic framework for designing, implementing, and managing Human-in-the-Loop (HITL) architectures. Participants will learn how to evolve from basic data-labeling workflows to advanced, real-time human-AI collaboration systems. The curriculum focuses on the operational 'flight mechanics' of oversight: constructing escalation ladders, countering automation complacency, implementing routing based on model confidence, and meeting strict regulatory compliance standards.

This instructor-led training is designed for cross-functional management teams looking to understand and practically apply Artificial Intelligence within daily business operations, decision-making, planning, analysis, and process optimization.