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.
Trusted by — schools, companies and industrial groups
Learning 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
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.
Don't let this gap widen
Why this program matters
Without advanced Python expertise, 65% of AI projects fail due to optimization slowness, endless debugging multiplying costs x4, according to Stack Overflow.
Data scientists lose 20h/week on GIL bottlenecks, AI competitors surpass with x7 perf gains.
Avoid stagnant salaries, canceled projects, lag in explosive ML market.
80% of experts double productivity post-training, invest to dominate, not follow.
Program
Module 1Advanced 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 2Concurrency 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 3Advanced 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 4Architecture 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.
Evaluation method
- Continuous evaluation through coding exercises, final deployed ML project, Qualiopi expert certification.
Learning method
- 70% hands-on on real cases, 30% actionable theory, interactive Jupyter notebooks.
Methods, materials and delivery
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.
Our method
Training quality, guaranteed at every step
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.
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FAQ
Frequently asked questions
How much does the Training Python Expert - Optimize Advanced AI Apps training cost?+
The individual price is $4,620, and the team / on-site price is $11,550 (USD). A detailed quote is sent within one business day.
How long is the Training Python Expert - Optimize Advanced AI Apps training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Intermediate Python mastery (OOP, decorators, generators), data science experience, Git basics and virtual environments.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
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