AI Enablement Training for Engineers Training Course

This live training session in Bulgaria provides a comprehensive overview of CloudMatrix for scalable AI inference. Discover how to deploy, optimize, and monitor models using CANN and MindSpore. Practical exercises will guide you through packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This instructor-led, live training in Bulgaria (online or onsite) targets beginner to intermediate AI engineers and software developers aiming to gain a foundational understanding of AI engineering principles and practices.

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

• Grasp the core concepts and technologies driving AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to solve practical software development challenges.
• Effectively manage and maintain AI projects by adhering to industry best practices.
• Awareness of the ethical implications and responsibilities associated with developing AI systems.

This live training on Bulgaria empowers developers to program and optimize applications on Biren AI accelerators. Learners will explore GPU architecture, configure the SDK, and adapt CUDA code for Biren. The course emphasizes performance tuning and debugging techniques.

This instructor-led, live training in Bulgaria (online or onsite) is designed for AI professionals and software developers at intermediate to advanced levels who aim to construct intelligent applications using AI and ML.

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

• Comprehend the advanced concepts and technologies underpinning AI and ML.
• Analyze and visualize data to guide AI/ML model development.
• Construct, train, and deploy AI/ML models effectively.
• Develop intelligent applications capable of addressing real-world challenges.
• Assess the ethical implications of AI applications across various industries.

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

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

• Implement and evaluate deep learning architectures.
• Deploy machine learning solutions at scale within distributed computing environments.
• Design and execute reinforcement learning models to facilitate decision-making.
• Build advanced natural language processing (NLP) systems for language comprehension.
• Apply computer vision techniques for image and video analysis.
• Address ethical implications in the creation and deployment of AI systems.

Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, design solutions, and make strategic decisions. Much like electricity transformed industry, AI is reshaping the lifecycle of product creation, validation, and evolution.

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

Upon completion of this training, 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 Product Owner stances (including the newly introduced Orchestrator stance) and utilize AI to reinforce each role — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and view AI tools as intelligent collaborators with distinct capabilities.
• Deepen customer insights and create AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer engagement.
• Craft and articulate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Utilize Generative AI tools to expedite prototyping and hypothesis testing, including the creation of mock-ups and product concepts.
• Inform product decisions by employing AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (such as emails, stakeholder management, and note-taking) using AI to dedicate more time to strategic and creative work.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
• Identify and design valuable AI use cases tailored to the specific product and organizational context.
• Explore and experiment with approximately 20 different AI tools and models — ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.