AI Enablement Training for Engineers Training Course

This instructor-led course on Sweden presents CloudMatrix as a tool for scalable AI inference. Discover how to deploy, optimize, and track models through CANN and MindSpore. Practical sessions focus on packaging, conversion, serving, and performance adjustment for both real-time and batch workloads.

This instructor-led, live training in Sweden (online or onsite) targets beginner to intermediate-level AI engineers and software developers who want to build a foundational understanding of AI engineering principles and practices.

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

• Understand the core concepts and technologies behind AI and machine learning.
• Implement basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve practical problems in software development.
• Manage and maintain AI projects using best practices in AI engineering.
• Recognize the ethical implications and responsibilities involved in developing AI systems.

This live training in Sweden empowers developers to program and optimize applications on Biren AI accelerators. Participants will delve into GPU architecture, configure the SDK, and convert CUDA code for Biren. The course places a strong emphasis on performance tuning and advanced debugging techniques.

This live, instructor-led training in Sweden (online or onsite) is designed for intermediate to advanced AI specialists and software developers who aim to develop intelligent applications leveraging AI and ML.

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

• Grasping the advanced concepts and technologies underpinning AI and ML.
• Analyzing and visualizing data to guide the development of AI/ML models.
• Effectively constructing, training, and deploying AI/ML models.
• Developing intelligent applications that address real-world challenges.
• Assessing the ethical implications of AI applications across various sectors.

This instructor-led, live training in Sweden (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.

This instructor-led, live training in Sweden (online or on-site) is designed for data scientists, engineers, and AI practitioners at intermediate to advanced levels who aim to master the complexities of intelligent applications and apply them to solve intricate, real-world challenges.

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

• Implement and analyze deep learning architectures.
• Apply machine learning at scale within distributed computing environments.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilize computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

Artificial Intelligence is rapidly emerging as the cornerstone of modern product management, fundamentally transforming how we uncover customer needs, define solutions, and make critical decisions. Much like electricity revolutionized industry, AI is reshaping the way products are built, validated, and evolved.

This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who wish to understand how AI can enhance product ownership and strengthen decision-making processes.

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

• Grasp the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to reinforce each stance—such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators with specialized expertise.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to focus on strategic and creative work.
• Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
• Identify and design valuable AI use cases tailored to the specific product and organizational context.
• Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.