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 Python Expert - Optimize Advanced AI Apps
Very demanding course · Expertise 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.
Python Expert training objectives
- Master metaprogramming for custom code
- Optimize performance with Cython and Numba
- Implement asynchronous concurrency via asyncio
- Develop ML pipelines with scikit-learn and TensorFlow
- Apply advanced design patterns in microservices
- Manage big data via Pandas and Dask
- Deploy scalable applications on cloud
Program
Python Expert curriculum: 4 modules over 4 days
Module 1 : Advanced Programming: Metaprogramming and Optimization (decorators, metaclasses, Cython)
Dive into Python's secrets, code decorators to monitor performance in real-time, create dynamic metaclasses for custom frameworks, test Cython on slow algorithms to accelerate x10, refactor legacy code via practical workshops, produce an optimized module ready to integrate, gain immediate efficiency.
Module 2 : Concurrency and Asynchronism: multiprocessing, asyncio (GIL, queues, websockets)
Unleash multi-core potential, implement multiprocessing for CPU-intensive tasks, master asyncio for non-blocking I/O with smooth coroutines, manage real-time websockets via chatbot exercises, bypass GIL with advanced patterns, develop scalable app simulating live data streams, deliverable: performant asynchronous service.
Module 3 : Advanced Data Science and ML: Pandas, NumPy, scikit-learn (pipelines, feature engineering)
Transform massive data, chain Pandas and Dask for giant datasets without crashes, optimize feature engineering with vectorized NumPy, build end-to-end ML pipelines via scikit-learn and TensorFlow, validate models on real Kaggle datasets, predict via predictive exercises, export deployable models, boost professional project accuracy.
Module 4 : Architecture and Deployment: Design Patterns, Docker, Cloud (FastAPI, Kubernetes basics)
Structure enterprise apps, apply patterns like observer and strategy in pure Python, microservices with secure FastAPI RESTful, containerize via Docker and orchestrate Kubernetes intro, deploy on AWS Lambda via guided labs, test CI/CD GitHub Actions, finalize complete scalable project, leave with impactful portfolio.
How Python Expert skills are assessed
- Continuous evaluation through coding exercises, final deployed ML project, Qualiopi expert certification.
How the Python Expert course is taught
- 70% hands-on on real cases, 30% actionable theory, interactive Jupyter notebooks.
Python Expert training: access and practical arrangements
The Training Python Expert - Optimize Advanced AI Apps 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 Python Expert - Optimize Advanced AI Apps 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 Python Expert - Optimize Advanced AI Apps 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 Python Expert 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
Python Expert: frequently asked questions
Which tools are used in Python Expert training?+
Hands-on work runs on decorators, metaclasses, cython, GIL, queues and websockets. Those tools come from the Python Expert program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Python Expert training?+
They can master metaprogramming for custom code, optimize performance with Cython and Numba and implement asynchronous concurrency via asyncio. Those are the stated objectives of the Python Expert program at Expert level, checked by the end-of-session assessment.
What does the Python Expert program cover, day by day?+
Day 1: Advanced Programming: Metaprogramming and Optimization (decorators, metaclasses, Cython). Day 2: Concurrency and Asynchronism: multiprocessing, asyncio (GIL, queues, websockets). Day 3: Advanced Data Science and ML: Pandas, NumPy, scikit-learn (pipelines, feature engineering). Day 4: Architecture and Deployment: Design Patterns, Docker, Cloud (FastAPI, Kubernetes basics). The Python Expert program runs over 4 days, delivered on site.
How is Python Expert training assessed?+
Assessment relies on continuous evaluation through coding exercises, final deployed ML project, Qualiopi expert certification. Learni issues a completion certificate together with the individual assessment report at the end of the Python Expert program, which an L&D team can file as evidence.
How much does Python Expert training cost per participant?+
Python Expert training costs $6,300 per participant. For an in-company team, the flat rate starts at $10,710 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 Python Expert 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 Python Expert 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 Python Expert training?+
Intermediate Python mastery (OOP, decorators, generators), data science experience, Git basics and virtual environments.
Is a certificate issued after Python Expert 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 Python Expert 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 Python Expert 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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