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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.
Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models
Specialist course · Minimum level required
Trusted by — schools, companies and industrial groups
41,181 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Complete training objectives
- Understand the NanoGPT architecture designed by Andrej Karpathy
- Install and configure the development environment to run NanoGPT
- Effectively prepare, preprocess, and tokenize text datasets for training
- Train, fine-tune, and evaluate reduced GPT models using NanoGPT
- Optimize performance (GPU, batch size, hyperparameters, memory savings)
- Deploy, test, and integrate generated models into an application or data pipeline
- Identify opportunities and limitations of NanoGPT in the open-source LLM ecosystem
Program
Complete curriculum: 3 modules over 3 days
Module 1 : Introduction to NanoGPT and Environment Setup
Universality of NanoGPT: origins, specificities, and role as a reference in the community. Installation of Python, PyTorch, CUDA/cuDNN for GPU users, Anaconda environment management. Hands-on with NanoGPT source code, exploration of official documentation, first runs.
Module 2 : Data Preparation and Training Hands-on
Optimal collection of text corpora, legal and methodological limits (CC, OpenWebText, Wikipedia, custom files). Preprocessing, cleaning, sharding, BPE tokenization, adapted vocabulary. Initialization of a learning session, basic settings (epochs, batch, learning rate), overview of GPU/cloud usage.
Module 3 : Fine-tuning, Evaluation, and Deployment of NanoGPT Models
Fine-tuning strategies: techniques, overfitting, specialized datasets. Monitoring learning (loss, perplexity), saving and managing checkpoints. Text generation, inference scripting, model export. Deployment: API interface, integration into web/Python application. Best practices, resource management, evolution perspectives.
How Complete skills are assessed
- Continuous evaluation with exercises on writing training scripts and handling data corpora
- Final MCQ on the NanoGPT ecosystem, advanced fine-tuning techniques, and evaluation
- Practical project: training and deployment of a custom mini-LLM model
How the Complete course is taught
- In-depth interactive courses with screen sharing
- Guided exercises in Live Coding on NanoGPT (Jupyter/VSCode)
- Study of concrete case studies and professional workflow demos
- Complete pedagogical support (slides, scripts, technical resources)
- Private forum to ask questions
Complete training: access and practical arrangements
The Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models 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 Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models 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 Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models 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 Complete 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
Complete: frequently asked questions
What can participants do after Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models training?+
They can understand the NanoGPT architecture designed by Andrej Karpathy, install and configure the development environment to run NanoGPT and effectively prepare, preprocess, and tokenize text datasets for training. Those are the stated objectives of the Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models program at Advanced level, checked by the end-of-session assessment.
What does the Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models program cover, day by day?+
Day 1: Introduction to NanoGPT and Environment Setup. Day 2: Data Preparation and Training Hands-on. Day 3: Fine-tuning, Evaluation, and Deployment of NanoGPT Models. The Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models program runs over 3 days, delivered on site.
How is Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models training assessed?+
Assessment relies on continuous evaluation with exercises on writing training scripts and handling data corpora, final MCQ on the NanoGPT ecosystem, advanced fine-tuning techniques, and evaluation and practical project: training and deployment of a custom mini-LLM model. Learni issues a completion certificate together with the individual assessment report at the end of the Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models program, which an L&D team can file as evidence.
How much does Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models training cost per participant?+
Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models training costs $4,725 per participant. For an in-company team, the flat rate starts at $8,558 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 Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models training take?+
3 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 Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models 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 Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models training?+
Mastery of Python, basics in machine learning, initial knowledge of deep learning, and understanding of Transformer-type architectures.
Is a certificate issued after Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models 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 Complete Training: Mastering Karpathy's NanoGPT for Developing High-Performance LLM Models 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 Complete learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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