AI Enablement Training for Engineers Training Course

This guided training on Thailand presents CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models utilizing CANN and MindSpore. Practical sessions address packaging, conversion, serving, and performance adjustments for real-time and batch processing.

This live, instructor-led training in Thailand, offered online or onsite, targets AI engineers and software developers from beginner to intermediate levels who aim to establish a foundational understanding of AI engineering principles and practices.

Upon completing this training, participants will be capable of:

• Understanding the core concepts and technologies driving AI and machine learning.
• Implementing basic machine learning models with TensorFlow and PyTorch.
• Applying AI techniques to solve real-world problems in software development.
• Managing and maintaining AI projects through established best practices.
• Recognizing the ethical implications and responsibilities in AI system development.

This live training in Thailand empowers developers to master the programming and optimization of applications on Biren AI accelerators. Learners will explore GPU architecture, configure the SDK, and convert CUDA code to Biren, with a strong emphasis on performance tuning and debugging methodologies.

This instructor-led live training in Thailand (available online or onsite) is tailored for intermediate to advanced AI professionals and software developers aiming to construct intelligent applications using AI and ML.

Upon completing this training, participants will be equipped to:

• Grasp the advanced theoretical concepts and underlying technologies driving AI and ML.
• Analyze and visualize data to guide the development of effective AI/ML models.
• Efficiently build, train, and deploy AI/ML models.
• Engineer intelligent applications capable of addressing real-world challenges.
• Assess the ethical implications of AI deployments across various industries.

This live, instructor-led training in Thailand (delivered online or onsite) is tailored for entry-level IT professionals aiming to establish a foundational understanding of intelligent applications and their industry-specific implementations.

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

• Understanding the evolution, core tenets, and influence of artificial intelligence.
• Recognizing and utilizing various machine learning algorithms.
• Effectively managing and analyzing data for AI-driven solutions.
• Evaluating the practical use cases and limitations of AI in diverse sectors.
• Discussing the ethical considerations and societal impact of AI technology.

This live, instructor-led training in Thailand—delivered either online or onsite—targets intermediate to advanced data scientists, engineers, and AI professionals aiming to master the nuances of intelligent applications and deploy them to solve complex real-world issues.

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

• Implement and analyze deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• 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 evolving into the cornerstone of contemporary product management, fundamentally altering approaches to uncovering customer needs, defining solutions, and making strategic decisions. Much like electricity transformed industry, AI is redefining how products are created, validated, and iterated.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this live instructor-led training (available online or onsite) focuses on harnessing AI to elevate product ownership and reinforce decision-making processes.

Upon completion, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Utilize AI to reinforce the seven key stances of a Product Owner, including the emerging Orchestrator role, as well as other positions such as Visionary, Experimenter, and Customer Representative.
• Perfect the art of effective prompting, viewing AI tools as specialized intelligent collaborators rather than simple utilities.
• Gain deeper insights into customer perspectives by creating AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer engagement.
• Craft and articulate a compelling product vision using structured methods like the 3x3 Framework, utilizing AI to refine and visualize narrative elements.
• Streamline prototyping and hypothesis testing by employing Generative AI tools to produce mock-ups and conceptual product designs.
• Enhance product decision-making by leveraging AI to analyze, prioritize, and assess features based on their value, feasibility, and user impact.
• Offload routine administrative tasks, such as email management, stakeholder coordination, and note-taking, to AI assistants, thereby freeing up time for strategic and creative pursuits.
• Facilitate informed discussions on AI ethics, bias, and data security to ensure a responsible and sustainable adoption strategy.
• Identify and craft high-value AI use cases that align with specific product goals and organizational contexts.
• Experiment with approximately 20 distinct AI tools and models, ranging from productivity aids and prototyping platforms to generative solutions for video, imagery, and code.