The ML/AI Developer Certification Track is tailored for professionals aiming to specialize in the development, optimization, and deployment of machine learning and artificial intelligence applications. This track offers a comprehensive and structured learning pathway, focusing on core ML/AI methodologies, GPUs, advanced parallel programming techniques, and optimization strategies crucial for high-performance computing (HPC) environments.
Participants will gain hands-on experience with cutting-edge tools and frameworks, learning to harness the power of GPU programming, distributed computing, and parallelism to accelerate model training, inference, and scalability. This specialized training ensures that developers can optimize ML/AI workloads for maximum performance.
To earn your ML/AI Developer Certification, you must successfully complete a structured curriculum designed to provide a comprehensive understanding of methods and tools for developing machine learning and artificial intelligence applications. The curriculum is divided into three essential steps, each focusing on different aspects of the field. Here's how you can fulfill the requirements:
To ensure a well-rounded education, you must enroll in at least one course from each of the three curriculum steps. This approach guarantees that you gain expertise in parallel programming, performance optimization, hardware accelerators, visualization, and more.
Subject area 1 - ML/AI See list of courses
Subject area 2 - Parallel Programming and Performance Optimization See list of courses
Subject area 3 - Hardware Accelerators, Visualization, and Bootcamps See list of courses
You are required to complete a minimum of three courses as part of the certification curriculum.
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After completing the necessary courses, you must successfully pass the examination for at least one course or the track exam to qualify. (Please note that the track exam is currently under development.) This exam assesses your understanding of key concepts and your ability to apply the skills learned throughout the course. It is a crucial step in validating your competency as a simulation developer.
Once you have completed all curriculum requirements and passed the necessary exams, you will receive your ML/AI Developer Certification. This certification is a testament to your dedication and proficiency in the development of machine learning and artificial intelligence applications, enhancing your professional credibility and opening up new career opportunities.
To receive your certification, submit your three course certificates and the exam certificate. These certificates must have been obtained within the last two years. Submit your documents by email to training(at)hlrs.de.
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