AI Inference and Deployment with CloudMatrix Training Course

This instructor-led, live training in Germany (available online or onsite) targets AI engineers and software developers at the beginner to intermediate level who aim to build a strong foundation in AI engineering principles and practices.

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

• Comprehending the underlying concepts and technologies of AI and machine learning.
• Developing basic machine learning models with TensorFlow and PyTorch.
• Applying AI methods to resolve practical software development challenges.
• Managing and maintaining AI projects through established best practices.
• Recognizing the ethical implications and duties associated with creating AI systems.

Over two intensive days, this hands-on workshop empowers participants to master the practical application of Generative AI within technical and operational workflows. The program is centered on integrating AI as a dependable daily partner for enhancing documentation, organizing requirements, expediting analysis and reporting, facilitating problem-solving, and optimizing cross-functional dialogue. Attendees will acquire established prompting strategies, rigorous validation methods to mitigate errors and “hallucinations,” and lean governance protocols designed to safeguard confidential data and intellectual property. The curriculum is structured to deliver immediately applicable templates, streamlined workflows, and a sustainable framework for AI-assisted productivity.

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

By the conclusion of this program, participants will have the capability to:

• Master the advanced concepts and technologies underpinning AI and ML.
• Utilize data analysis and visualization techniques to guide AI/ML model development.
• Effectively build, train, and deploy AI/ML models.
• Develop intelligent applications that deliver solutions to practical, real-world problems.
• Critically evaluate the ethical impact of AI applications across various sectors.

Elevate neural network inference performance on Ascend AI processors through this advanced, instructor-led course in Germany. Delve into CANN's runtime architecture and utilize the Graph Engine, TIK, and TVM to master profiling, custom operator creation, and the resolution of memory bottlenecks.

This instructor-led, live training in Germany (online or onsite) is intended for IT professionals at the entry level who aim to acquire a foundational understanding of intelligent applications and their potential integration across diverse industries.

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

• Comprehending the evolution, underlying principles, and influence of artificial intelligence.
• Recognizing and utilizing various machine learning algorithms.
• Competently managing and analyzing data for AI applications.
• Identifying the real-world applications and constraints of AI in different fields.
• Engaging in discussions regarding the ethical considerations and societal impacts of AI technology.

This live, instructor-led training, offered in Germany (either online or on-site), targets intermediate to advanced data scientists, engineers, and AI practitioners aiming to master the complexities of intelligent applications and utilize them to resolve complex, real-world issues.

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

• Implementing and analyzing deep learning architectures.
• Applying machine learning at scale within distributed computing frameworks.
• Designing and executing reinforcement learning models for decision-making processes.
• Developing sophisticated 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.