Training AMD Instinct MI300 - Optimizing AI in Datacenter with AMD GPU

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: FHE526
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of the Instinct MI300 GPUs, IT teams expose the company to performance drops of up to 40% on AI models, costly outages estimated at 180 000 euros per hour in production, and growing technical debt against competitors.

  • Uncorrected security flaws increase the risks of sensitive data breaches, while oversizing clusters without ROCm optimization generates unnecessary expenses of 25 to 35% on energy and hardware bills.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

AMD Instinct MI300 training objectives

  • Configure Instinct MI300 GPUs for AI workloads in production
  • Deploy the ROCm stack on AMD datacenter clusters
  • Optimize inference and training performance
  • Secure GPU environments with Infinity Guard
  • Monitor and troubleshoot MI300 nodes in enterprise
  • Integrate AMD solutions into existing architectures

Program

AMD Instinct MI300 curriculum: 4 modules over 4 days

Module 1 : MI300 Architecture and ROCm Deployment: driver installation, CDNA3 activation, EPYC server configuration, practical work on physical nodes

Participants discover the MI300's CDNA3 architecture, install AMD drivers and the ROCm platform on datacenter servers, perform memory bandwidth tests, and validate GPU detection. Concrete integration cases with hypervisors demonstrate how to obtain deliverables ready for AI production.

Module 2 : Optimizing AI workloads: ROCm containers, kernel tuning, PyTorch benchmarks, performance profiling, optimized configuration deliverables

The day focuses on optimizing AI models with ROCm libraries, using Docker and Singularity containers, tuning kernels, and measuring performance on MI300. Practical exercises on real models deliver measurable gains and reusable production configurations.

Module 3 : Security and multi-user management: SEV activation, GPU quotas, advanced monitoring, practical work on cluster isolation and supervision

Trainees learn to activate Infinity Guard security mechanisms, implement quotas and user profiles, and supervise clusters with AMD tools. Production scenarios include anomaly detection and generation of compliance reports for IT teams.

Module 4 : Production rollout and troubleshooting: scalability, workload migration, failure diagnostics, experience feedback and concrete action plans

The final day covers scaling, migration strategies from other platforms, advanced troubleshooting, and operations automation. Each participant builds a complete deployment plan with performance indicators and maintenance procedures tailored to their environment.

How AMD Instinct MI300 skills are assessed

  • MCQ on key concepts
  • Evaluated practical work on deployment and optimization
  • Production troubleshooting scenario

How the AMD Instinct MI300 course is taught

  • In-depth theory on AMD architecture
  • Practical labs on MI300
  • Analysis of real company cases
  • Trainer's feedback and experience

AMD Instinct MI300 training: access and practical arrangements

The Training AMD Instinct MI300 - Optimizing AI in Datacenter with AMD GPU 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 Instinct MI300 - Optimizing AI in Datacenter with AMD GPU 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 Instinct MI300 - Optimizing AI in Datacenter with AMD GPU 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 Instinct MI300 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

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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
Enroll and offer a kit
FAQ

AMD Instinct MI300: frequently asked questions

What can participants do after AMD Instinct MI300 training?+
They can configure Instinct MI300 GPUs for AI workloads in production, deploy the ROCm stack on AMD datacenter clusters and optimize inference and training performance. Those are the stated objectives of the AMD Instinct MI300 program at Advanced level, checked by the end-of-session assessment.
What does the AMD Instinct MI300 program cover, day by day?+
Day 1: MI300 Architecture and ROCm Deployment: driver installation, CDNA3 activation, EPYC server configuration, practical work on physical nodes. Day 2: Optimizing AI workloads: ROCm containers, kernel tuning, PyTorch benchmarks, performance profiling, optimized configuration deliverables. Day 3: Security and multi-user management: SEV activation, GPU quotas, advanced monitoring, practical work on cluster isolation and supervision. Day 4: Production rollout and troubleshooting: scalability, workload migration, failure diagnostics, experience feedback and concrete action plans. The AMD Instinct MI300 program runs over 4 days, delivered on site.
How is AMD Instinct MI300 training assessed?+
Assessment relies on MCQ on key concepts, evaluated practical work on deployment and optimization and production troubleshooting scenario. Learni issues a completion certificate together with the individual assessment report at the end of the AMD Instinct MI300 program, which an L&D team can file as evidence.
How much does AMD Instinct MI300 training cost per participant?+
AMD Instinct MI300 training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 Instinct MI300 training take?+
4 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 Instinct MI300 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 Instinct MI300 training?+
Advanced mastery of Linux server, experience with AI frameworks like PyTorch or TensorFlow, knowledge in KVM virtualization and InfiniBand networks.
Is a certificate issued after AMD Instinct MI300 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 Instinct MI300 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.
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