Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Training AMD ROCm - Optimizing GPU AI and HPC Computations in Datacenter
Very demanding course · Expertise required
Trusted by — schools, companies and industrial groups
41,110 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
AMD ROCm training objectives
- Deploy the ROCm platform on AMD Instinct GPU clusters
- Configure environments for AI and HPC workloads
- Optimize performance of production workloads
- Administer GPU resources using ROCm tools
- Secure access and data on AMD infrastructure
- Troubleshoot compute and virtualization incidents
Program
AMD ROCm curriculum: 5 modules over 5 days
Module 1 : ROCm Installation: Deployment on AMD Instinct Servers (ROCm Tools, Scripts, Validation)
Participants deploy ROCm on production AMD Instinct servers, use official installation scripts, and validate the GPU environment. They test hardware compatibility, configure drivers, and perform initial benchmarks. Real-world datacenter installation cases enable delivery of a fully operational cluster with documented configuration deliverables.
Module 2 : GPU Programming: Leveraging HIP and ROCm Libraries (HIP Tools, cuBLAS, AI Use Cases)
Teams learn to port CUDA code to HIP and leverage ROCm libraries for AI. Practical exercises include kernel optimization and running models on Instinct GPUs. Real migration cases demonstrate performance gains with optimized code deliverables.
Module 3 : Cluster Orchestration: Multi-GPU Management with ROCm (Slurm, Kubernetes, Monitoring Tools)
Training on GPU cluster orchestration using ROCm integrated with Slurm and Kubernetes. Participants deploy distributed HPC and AI jobs, configure scheduling, and monitor resources. Production environment simulations deliver validated orchestration scripts.
Module 4 : AI Optimization: Model Tuning and Performance (MIOpen, RCCL, Profiling Tools)
Trainees optimize AI models using MIOpen and RCCL for multi-GPU communications. They use ROCm profiling tools to identify bottlenecks and adjust workloads in real time. Real training cases produce performance reports and final configurations.
Module 5 : Security and Maintenance: Protecting ROCm Environments (SEV Tools, Monitoring, Troubleshooting)
Securing ROCm clusters using Infinity Guard and SEV features on EPYC processors. Teams conduct audits, implement monitoring, and resolve simulated incidents. Deliverables include maintenance procedures and an operational continuity plan.
How AMD ROCm skills are assessed
- Knowledge validation quiz
- Practical exercises assessed on ROCm configuration and optimization
- Full production deployment simulation
How the AMD ROCm course is taught
- In-depth theory on ROCm architecture
- Hands-on labs on AMD Instinct servers
- Real-world enterprise AI and HPC use cases
- Expert trainer feedback and experience sharing
AMD ROCm training: access and practical arrangements
The Training AMD ROCm - Optimizing GPU AI and HPC Computations in Datacenter program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training AMD ROCm - Optimizing GPU AI and HPC Computations in Datacenter program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training AMD ROCm - Optimizing GPU AI and HPC Computations in Datacenter program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your AMD ROCm training
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
AMD ROCm: frequently asked questions
Which tools are used in AMD ROCm training?+
Hands-on work runs on ROCm Tools, scripts, validation, HIP Tools, cuBLAS and AI Use Cases. Those tools come from the AMD ROCm program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after AMD ROCm training?+
They can deploy the ROCm platform on AMD Instinct GPU clusters, configure environments for AI and HPC workloads and optimize performance of production workloads. Those are the stated objectives of the AMD ROCm program at Expert level, checked by the end-of-session assessment.
What does the AMD ROCm program cover, day by day?+
Day 1: ROCm Installation: Deployment on AMD Instinct Servers (ROCm Tools, Scripts, Validation). Day 2: GPU Programming: Leveraging HIP and ROCm Libraries (HIP Tools, cuBLAS, AI Use Cases). Day 3: Cluster Orchestration: Multi-GPU Management with ROCm (Slurm, Kubernetes, Monitoring Tools). Day 4: AI Optimization: Model Tuning and Performance (MIOpen, RCCL, Profiling Tools). Day 5: Security and Maintenance: Protecting ROCm Environments (SEV Tools, Monitoring, Troubleshooting). The AMD ROCm program runs over 5 days, delivered on site.
How is AMD ROCm training assessed?+
Assessment relies on knowledge validation quiz, practical exercises assessed on ROCm configuration and optimization and full production deployment simulation. Learni issues a completion certificate together with the individual assessment report at the end of the AMD ROCm program, which an L&D team can file as evidence.
How much does AMD ROCm training cost per participant?+
AMD ROCm training costs $7,875 per participant. For an in-company team, the flat rate starts at $14,175 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does AMD ROCm training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for AMD ROCm training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before AMD ROCm training?+
Advanced mastery of Linux server administration, experience in GPU programming, and solid knowledge of AI and HPC architectures.
Is a certificate issued after AMD ROCm training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for AMD ROCm training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your AMD ROCm learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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