AI Enablement Training for Engineers Training Course

This instructor-led session on Latvia explores CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models through CANN and MindSpore integration. Hands-on exercises address packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This live, instructor-led training in Latvia (online or onsite) is tailored for AI engineers and software developers at beginner to intermediate levels seeking to establish a strong foundation in AI engineering principles and practices.

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

• Comprehend the core concepts and technologies underlying AI and machine learning.
• Build basic machine learning models using TensorFlow and PyTorch.
• Apply AI methodologies to solve practical challenges in software development.
• Manage and maintain AI projects by implementing best practices in AI engineering.
• Recognize the ethical considerations and duties involved in creating AI systems.

This live training in Latvia provides developers with the necessary skills to develop and optimize applications on Biren AI accelerators. Participants will gain insights into the GPU architecture, learn to configure the SDK, and acquire the ability to port CUDA code to Biren. The course places strong emphasis on performance tuning and debugging methodologies.

This instructor-led live training, conducted in Latvia (either online or onsite), is tailored for intermediate to advanced AI experts and software developers seeking to develop intelligent applications using AI and ML.

By the conclusion of this program, participants will be equipped to:

• Comprehend the sophisticated concepts and technologies driving AI and ML.
• Utilize data analysis and visualization to support AI/ML model creation.
• Successfully build, train, and deploy AI/ML models.
• Design intelligent applications that address practical, real-world issues.
• Examine the ethical implications of AI usage in various sectors.

This live, instructor-led training in Latvia (available online or onsite) is tailored for entry-level IT professionals aiming to build a foundational understanding of intelligent applications and their diverse industry applications.

By the end of the session, participants will be capable of:

• Comprehending the evolution, core tenets, and influence of artificial intelligence.
• Identifying and deploying various machine learning algorithms.
• Managing and analyzing data effectively for AI purposes.
• Recognizing the practical benefits and constraints of AI in various sectors.
• Exploring the ethical questions and societal effects associated with AI technology.

This live, instructor-led training in Latvia, offered either online or on-site, targets data scientists, engineers, and AI professionals at intermediate to advanced levels who seek to deeply understand intelligent applications and utilize them to resolve complex, real-world issues.

Upon completion, participants will be equipped to:

• Implement and evaluate deep learning architectures.
• Deploy machine learning solutions at scale within distributed computing environments.
• Construct and deploy reinforcement learning models for strategic decision-making.
• Create advanced NLP systems capable of deep language understanding.
• Apply computer vision methods for comprehensive image and video analysis.
• Navigate the ethical dimensions of AI system development and deployment.

Artificial Intelligence is swiftly establishing itself as the bedrock of contemporary product management, fundamentally altering how we uncover customer needs, define solutions, and drive decision-making. Much like electricity transformed industrial processes, AI is redefining the way products are conceived, validated, and iteratively improved.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this live, instructor-led training—available both online and on-site—explor how AI can elevate product ownership practices and fortify decision-making capabilities.

Upon completing this course, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the emerging Orchestrator stance, leveraging AI to enhance roles such as Visionary, Experimenter, or Customer Representative.
• Develop proficiency in effective prompting, viewing AI tools as intelligent collaborators with distinct specialized skills.
• Enhance customer insights and generate AI-assisted personas for hypothesis testing and discovery, all while preserving authentic customer engagement.
• Formulate and articulate a clear product vision using structured approaches like the 3x3 Framework, utilizing AI to craft and visualize compelling narratives.
• Accelerate prototyping and hypothesis validation with Generative AI tools, including the creation of mock-ups and product concepts.
• Inform product decisions by employing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline or delegate routine daily responsibilities, such as email management, stakeholder communication, and note-taking, via AI to concentrate on strategic and creative endeavors.
• Facilitate dialogues on AI ethics, bias, and data security, promoting responsible and sustainable AI integration.
• Identify and craft valuable AI use cases specifically tailored to your product and organizational landscape.
• Explore and practice with approximately 20 diverse AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.