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.
Learning objectives
- Master advanced OOP with multiple inheritance and decorators.
- Implement concurrency using threads, multiprocessing, and asyncio.
- Handle large datasets with NumPy and Pandas.
- Develop data science pipelines using Scikit-learn.
- Write unit tests and integrate CI/CD.
- Optimize and deploy scalable Python applications.
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Why this program matters
Without advanced Python skills, 70% of developers lose 15h per week debugging poorly optimized code, leading to project delays multiplied by 3 and bug costs estimated at 40% of the IT budget according to Gartner.
Untrained data scientists fail 60% of their pipelines on large datasets, missing crucial insights that boost sales by 25%.
Career stagnation risk: 80% of senior job offers require concurrent OOP and data tools.
Invest 28h to avoid these pitfalls, scale your apps, and double your productivity starting tomorrow.
Program
Module 1Advanced OOP: Inheritance, Decorators, Metaclasses (Python OOP, exercises, reusable modules)
Dive into advanced Python OOP by coding class hierarchies with multiple inheritance, creating decorators for logging and performance optimization, and exploring metaclasses to customize objects, through exercises on real cases like a game simulator, producing modules ready to integrate into your projects.
Module 2Concurrency: Threads, Multiprocessing, Asyncio (asynchronous management, benchmarks, parallel scripts)
Discover concurrent programming by implementing threads for I/O-intensive tasks, multiprocessing for CPU-bound tasks, and asyncio for reactive apps, via comparative benchmarks and exercises on parallel web scraping, generating scalable scripts that boost your daily automations.
Module 3Data Science: NumPy, Pandas, Visualization (arrays, DataFrames, Matplotlib charts)
Manipulate massive datasets with NumPy for ultra-fast vectorized calculations, Pandas for cleaning and exploratory analysis, and Matplotlib for impactful visualizations, by completing concrete projects like server log analysis, delivering immediately production-ready Jupyter notebooks.
Module 4Best Practices: Pytest Tests, Packaging, Deployment (CI/CD, Docker, ready apps)
Perfect your code with pytest for robust tests covering 90% coverage, structure PyPI-ready packages, and deploy via Docker and GitHub Actions, through a final scalable REST API project, taking away a concrete portfolio that impresses recruiters and clients.
Evaluation method
- Daily interactive quizzes.
- Final project with code review.
- Self-assessment using competency grids.
Learning method
- Practical projects in pairs.
- Real business cases.
- Real-time individualized feedback.
Methods, materials and delivery
The Advanced Python Training - Build Scalable and High-Performance Apps program is delivered onsite or remote (blended-learning, e-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 Advanced Python Training - Build Scalable and High-Performance 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 Advanced Python Training - Build Scalable and High-Performance 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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