AI Engineering Training in Portugal

This instructor-led training in Portugal provides an introduction to CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models leveraging CANN and MindSpore. Hands-on exercises address packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This instructor-led, live training in Portugal (online or onsite) is tailored for intermediate to advanced AI professionals and software developers who wish to build intelligent applications using AI and ML.

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

• Grasp the advanced concepts and technologies underpinning AI and ML.
• Analyse and visualize data to guide the development of AI/ML models.
• Effectively build, train, and deploy AI/ML models.
• Develop intelligent applications capable of addressing real-world problems.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Portugal (online or on-site) is designed for intermediate to advanced data scientists, engineers, and AI practitioners aiming to master the nuances of intelligent applications and utilize them to solve intricate, real-world challenges.

Upon completing this training, participants will be capable of:

• Implementing and analyzing deep learning architectures.
• Applying machine learning at scale within distributed computing environments.
• Designing and executing reinforcement learning models for decision-making.
• Developing sophisticated natural language processing (NLP) systems for language understanding.
• Utilizing computer vision techniques for image and video analysis.
• Addressing ethical considerations in the development and deployment of AI systems.

This guided, live training in Portugal (online or in-person) is tailored for beginner to intermediate AI engineers and software developers aiming to build a foundational understanding of AI engineering principles and practices.

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

• Understanding the core concepts and technologies behind AI and machine learning.
• Implementing basic machine learning models using TensorFlow and PyTorch.
• Applying AI techniques to solve practical problems in software development.
• Managing and maintaining AI projects using best practices in AI engineering.
• Recognizing the ethical implications and responsibilities involved in developing AI systems.

This live training on Portugal empowers developers to effectively programme and optimise applications on Biren AI accelerators. Attendees will delve into the GPU architecture, configure the SDK, and adapt CUDA code for Biren. The curriculum places a strong emphasis on performance tuning and debugging strategies.

This instructor-led, live training in Portugal (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

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

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

Spanning two days, this hands-on initiative empowers participants with the practical competencies needed to leverage Generative AI tools effectively, securely, and consistently within technical and operational contexts. The programme centres on transforming AI into a dependable daily aid for drafting and enhancing documentation, organizing requirements, expediting analysis and reporting, facilitating problem-solving, and optimising cross-functional communication. Learners will acquire established prompting patterns, validation methods to mitigate errors and 'hallucinations,' and streamlined governance protocols to safeguard confidential data and intellectual property. The course is structured to yield immediately applicable templates, workflows, and a sustainable approach to AI-assisted productivity.

Artificial Intelligence is swiftly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, define solutions, and make critical decisions. Much like the electrification revolutionized industry, Artificial Intelligence is redefining the lifecycle of products—from their construction and validation to their ongoing evolution.

This instructor-led, live training session, available either online or onsite, is specifically designed for Product Owners, Scrum Masters, and Agile Coaches seeking to comprehend how AI can elevate product ownership and bolster decision-making capabilities.

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

• Grasping the core principles of Artificial Intelligence and distinguishing between conventional AI and Generative AI (GenAI).
• Implementing the seven preferred stances of a Product Owner—including the emerging Orchestrator stance—and leveraging AI to reinforce each role, such as the Visionary, Experimenter, or Customer Representative.
• Mastering the art of effective prompting and viewing AI tools as intelligent collaborators with distinct specializations.
• Enhancing customer insights and utilizing AI to create personas for hypothesis testing and discovery, all while preserving genuine customer interactions.
• Formulating and articulating a clear product vision through structured frameworks like the 3x3 Framework, using AI to craft and visualize narratives.
• Employing Generative AI tools to speed up prototyping and hypothesis testing, including the creation of mock-ups or product concepts.
• Informing product decisions by utilizing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Automating or delegating routine daily responsibilities—such as email management, stakeholder engagement, and note-taking—to free up time for strategic and creative work.
• Facilitating discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• Identifying and designing valuable AI use cases that are tailored to the specific product and organizational context.
• Exploring and experimenting with approximately 20 different AI tools and models—ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.