Banking and Insurance
CMA CGM, Airbus Helicopters, Eurocopter
In Marseille, banking and insurance regional banks and insurers run digital transformation programs hiring certified PMs.

Live online Machine Learning on CET for Marseille professionals. Industry-aligned, scikit-learn, TensorFlow and MLOps labs, pass guarantee, recordings.
Call Us: +91-7975864186


Machine Learning Certification certification training in Marseille prepares you for roles at BNP Paribas, Societe Generale, AXA, Total Energies, L'Oreal, LVMH, Sanofi, Capgemini, Orange and Renault. Learners Ink's 5-day program ships with Industry-aligned instructors, scikit-learn, TensorFlow and MLOps labs, ML capstone assessment and a pass guarantee.
Live instructor on Zoom or MS Teams, weekday and weekend cohorts.
In-person sessions at our Marseille, Provence-Alpes-Côte d'Azur venue with live instructor.
Lifetime access, study at your own pace, includes practice tests.
Live Online cohorts on Zoom or MS Teams. Small group sizes, named instructors, money-back guarantee.
| Start Date | Mode | Schedule | Fee (EUR) | Seats | Action |
|---|---|---|---|---|---|
Weekend BatchJuly 25-26 and August 1-2, 2026 (4-day weekend) | Live Online (Zoom / MS Teams) | 2 weekends (4 days), Sat-Sun, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Filling fast | |
Weekday BatchJuly 28-31, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | 12 of 25 left | |
Weekend BatchAugust 22-23 and August 29-30, 2026 (4-day weekend) | Live Online (Zoom / MS Teams) | 2 weekends (4 days), Sat-Sun, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekday BatchAugust 25-28, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekend BatchSeptember 19-20 and September 26-27, 2026 (4-day weekend) | Live Online (Zoom / MS Teams) | 2 weekends (4 days), Sat-Sun, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekday BatchSeptember 22-25, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekend BatchOctober 24-25 and October 31 - November 1, 2026 (4-day weekend) | Live Online (Zoom / MS Teams) | 2 weekends (4 days), Sat-Sun, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekday BatchOctober 27-30, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekday BatchNovember 17-20, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekend BatchNovember 21-22 and November 28-29, 2026 (4-day weekend) | Live Online (Zoom / MS Teams) | 2 weekends (4 days), Sat-Sun, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekend BatchDecember 12-13 and December 19-20, 2026 (4-day weekend) | Live Online (Zoom / MS Teams) | 2 weekends (4 days), Sat-Sun, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open | |
Weekday BatchDecember 15-18, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | €1,299€999Early Bird, save €300 | Open |
Learners Ink Machine Learning certificate plus aligned pathways to AWS ML Specialty, Microsoft DP-100 and Databricks ML credentials.
Build reproducible scikit-learn and PyTorch pipelines with MLflow tracking, FastAPI serving and Docker packaging.
Ship a real ML service end-to-end: dataset to API with monitoring, drift detection and stakeholder defence.
CNNs, RNNs, Transformers and transfer learning with PyTorch on real image, text and tabular tasks.
Practitioners from FAANG, GCC banks and Big 4 with active production ML and MLOps experience.
100-question simulated assessments with answers and explanations across classical ML, DL and MLOps.
Marseille is a major banking and luxury hub. BNP Paribas, Societe Generale, AXA, Total Energies, L'Oreal, LVMH, Sanofi, Capgemini, Orange and Renault all run Machine Learning-aligned teams and roadmaps.
Machine Learning-certified professionals in Marseille earn € 70k to € 115k, with senior leaders at top employers clearing materially more once experience and scope are factored in.
Learners Ink's Marseille Machine Learning cohort is delivered by Industry-aligned instructors with active local delivery experience. 5-day intensive, scikit-learn, TensorFlow and MLOps labs, pass guarantee.
Twelve outcome pillars mapped to the PMI® Examination Content Outline, with deep practice across People, Process and Business Environment.
Regression, classification, ensembles, clustering and dimensionality reduction with rigorous evaluation.
scikit-learn Pipelines, ColumnTransformer, MLflow tracking, model registry and versioning.
Neural networks, CNNs, RNNs, Transformers and transfer learning on real datasets.
Use LLM APIs and RAG patterns for feature ideation, data labelling and model evaluation.
FastAPI serving, Docker, CI/CD for ML, model monitoring, drift detection and retraining triggers.
Cross-validation strategies, calibration, fairness, uncertainty and explainability with SHAP and LIME.
GridSearch, RandomSearch, Bayesian optimisation with Optuna and automated ML basics.
Collaborative filtering, matrix factorisation, learning-to-rank and embedding-based retrieval.
PySpark MLlib, distributed training intro and feature stores.
Ship a real ML service end-to-end with monitoring, alerting and defence presentation.
Bias, fairness, privacy, explainability and governance for production ML.
Public GitHub portfolio, deployed demos and a polished case-study writeup.
Core Machine Learning Certification Training competencies aligned to the latest Learners Ink exam blueprint, ready to apply on day one.
Live Online Machine Learning is delivered 100% live by senior ML engineers from FAANG and tier-1 banks. Every session combines whiteboard theory with hands-on coding, breakout pair programming and mentor-led code reviews that mirror real ML team rituals.
Primary live cohort sessions with breakouts for pair-programming labs
Cloud notebooks with GPU access for deep-learning labs
Assignment distribution, code review and portfolio building
Experiment tracking, model registry and reproducibility
Deploy ML and LLM mini projects publicly
Optional experiment tracking and team collaboration
Daily Q&A, instructor office hours and peer code review
12-month access to recordings, 150+ notebooks and 2 full-length proficiency tests
Live online delivers all the rigour of classroom training with zero commute, flexible scheduling, recorded sessions and 20 to 25 percent lower fees.
Join live ML sessions from your home office, co-working space or anywhere.
Real-time interaction with senior ML engineers via Zoom or Microsoft Teams.
Every live session is available for 12 months in your learner portal.
Colab Pro and JupyterHub with GPU access for deep-learning labs.
Live online cohorts are priced 20 to 25 percent lower than classroom.
Choose weekday evenings, weekend or split-week schedules.
Learn alongside ML practitioners from multiple countries and industries.
Identical Learners Ink certificate, capstone and career services.
Three quick calculators to model your salary uplift, course payback period, and long-term career projection. All figures are indicative, based on PMI Earning Power data and local salary benchmarks.
Verified demand across the leading sectors driving ML hiring in Marseille, Provence-Alpes-Côte d'Azur, with the marquee employers in each industry.
CMA CGM, Airbus Helicopters, Eurocopter
In Marseille, banking and insurance regional banks and insurers run digital transformation programs hiring certified PMs.
CMA CGM, Airbus Helicopters, Eurocopter
In Marseille, manufacturing and engineering industrial firms and Mittelstand-style suppliers hire PMPs for plant programs.
CMA CGM, Airbus Helicopters, Eurocopter
In Marseille, technology and telecom tech employers and carriers hire technical PMs for platform programs.
AP-HM
In Marseille, healthcare and life sciences pharma and hospital systems run regulated programs needing PMPs.
CMA CGM, Airbus Helicopters, Eurocopter
In Marseille, public sector and consulting Big Four and government contractors require PMP for senior delivery.
Schneider Electric
In Marseille, energy and utilities grid, renewables, and energy transition programs hire certified PMs.
Verified hiring patterns from the largest employers in Marseille, Provence-Alpes-Côte d'Azur. ML-certified candidates are actively preferred or required for these roles.
| Employer | Industry | Why ML Matters | Typical Roles |
|---|---|---|---|
| CMA CGM | Logistics | HQ container shipping programs. | ML aligned senior delivery roles |
| Airbus Helicopters | Aerospace | Marignane plant programs. | ML aligned senior delivery roles |
| Eurocopter | Aerospace | Helicopter programs. | ML aligned senior delivery roles |
| Onet | Services | HQ facility services. | ML aligned senior delivery roles |
| CNRS | Research | Research programs. | ML aligned senior delivery roles |
| AP-HM | Healthcare | Hospital programs. | ML aligned senior delivery roles |
| Port de Marseille Fos | Logistics | Port programs. | ML aligned senior delivery roles |
| Schneider Electric | Energy | Manufacturing programs. | ML aligned senior delivery roles |
The most in-demand ML-tagged designations and the value each adds to your career.
In Marseille, this role is the most-posted PM title locally across multiple sectors.
In Marseille, this role leads cross-functional delivery at large enterprises.
In Marseille, this role owns multi-project portfolios at MNCs and government bodies.
In Marseille, this role drives portfolio governance at banks, telcos, and consulting firms.
In Marseille, this role blends PMP discipline with Scrum/SAFe for tech delivery.
In Marseille, this role leads capital projects across the metro region.
Source: Hays Salary Guide 2026, Robert Half 2026 and Michael Page 2026 for Marseille. Machine Learning holders earn 18 to 28 percent more than uncertified peers, with senior data science and ML engineering roles paying a further 10 to 18 percent premium.
Two complete 180-question simulations modelled on the live PMI exam, with detailed answer keys, rationale for every option and instructor-led debriefs. Access is gated, share your details and we unlock both tests instantly.
Full simulation across classical ML, deep learning and MLOps with code-reading items, answer rationale and skill-gap map
Second full simulation with ML scenario stems, MLOps and Responsible AI items, target 75%+ before capstone defence
Pass guarantee: achieve 75% on both full-length practice tests and we back you with a written ML pass guarantee.
Download our complete library of free ML preparation resources, no email gate on the practice test, just instant access.
Classical ML, DL and MLOps mini test with instant scoring and answer rationale.
All major supervised and unsupervised algorithms with use cases and trade-offs.
End-to-end MLOps reference: training, registry, serving, monitoring and retraining.
Architectures, losses, optimisers and regularisation on a printable reference page.
City-by-city ML Engineer and Applied Scientist salary data from LinkedIn and Glassdoor.
Day-by-day editable planner with mini-project and capstone checkpoints.
Course outline, fee schedule, batch calendar and instructor profiles.
Most learners complete the full journey in 8 to 12 weeks. We support you end-to-end, from eligibility check to PMI® application narrative and sitting the exam.
Free 30-minute call to map your background and confirm ML readiness.
Receive Python and math refresher pack, environment setup and access to the LMS.
Live cohort across classical ML, deep learning, MLOps, applied GenAI and Responsible AI.
Complete 4 graded ML projects: tabular, NLP, computer vision and time series.
Ship an end-to-end ML service with FastAPI, Docker, MLflow and monitoring.
Pass the internal proficiency assessment plus capstone defence to receive your Learners Ink ML certificate.
The Learners Ink Machine Learning Certification program in Marseille is delivered over the 5-day curriculum with applied banking and luxury case studies drawn from local employers including BNP Paribas, Societe Generale.
| Course Name | Machine Learning Certification Training (Live Online Virtual Classroom) |
| Duration | 50 Contact Hours |
| Format | Live Online via Zoom / Microsoft Teams |
| Accreditation | Industry-aligned, capstone-based |
| Certification Body | Learners Ink |
| Class Size | Max 25 per cohort, breakouts and live Q&A |
| Recordings | 90 days access in learner portal for revision |
| Certificate | Certificate of Completion from Learners Ink |
| Exam Prep | 2,000+ Practice Questions + 2 Full-Length Practice Tests with Answers and Explanations |
| Course Fee | €999 (Early Bird) - was €1,299 |
| Contact | +91-7975864186 |
| support@learnersink.com |
Review the eligibility pathway that matches your background. The Learners Ink Machine Learning Certification Training programme is designed to satisfy the Learners Ink prerequisites end-to-end.
Ideal for professionals who lead, manage or coordinate projects and are ready to earn a globally recognised credential.
End-to-end production-grade ML from classical to deep learning to MLOps
Level up from notebooks into deployed, monitored ML systems
Pivot into ML Engineering and Applied Science roles
Add modelling, training and deployment depth to data platform skills
Build production ML services with FastAPI, Docker and CI/CD for ML
Add MLOps, deployment and Responsible AI to research depth
Lead ML-powered products with hands-on system design literacy
Design ML platforms, feature stores and monitoring strategies
Specialise into MLOps and ML platform engineering
Modernise quant pipelines with production ML and DL
Healthcare, retail, banking and telecoms SMEs leading ML initiatives
Translate research skills into industry ML Engineer roles
Structured ML program with capstone and portfolio output
Lead client ML engagements with credible production experience
Specialise into ML platform engineering on AWS, Azure or GCP
6 domains, 28 modules covering every objective on the current Machine Learning Certification Training blueprint from Learners Ink.
Rigorous classical ML with scikit-learn pipelines and evaluation.
Classical ML through deployment: DL, MLOps, applied GenAI and Responsible AI.
Instructors from FAANG, GCC banks, Big 4 with active production ML and MLOps experience.
Also officially accredited for PRINCE2, ITIL, PMI and Scrum Alliance credentials.
Across Fortune 500 companies and government agencies since 2019.
Every class is live, never pre-recorded, with real-time Q&A and pair coding.
End-to-end FastAPI + Docker + monitoring deployment, not toy notebooks.
Weekday, weekend or accelerated bootcamp, live online or in-person.
LLM APIs, RAG, embeddings and prompt engineering for ML teams.
MLflow, CI/CD for ML, monitoring, drift, champion-challenger patterns.
Fairness, SHAP/LIME, model cards and data sheets in every capstone.
Real reviews from ML alumni across the USA, UK, UAE, Australia and India.
If our training does not meet your expectations, a full refund is available.
Re-attend any future cohort, classroom or live online, free of cost for revision.
Mock interviews on coding, math and ML system design with senior practitioners.
Resume polish, LinkedIn makeover, mock interviews and curated ML job board.
Tailored in-house ML programs for teams of 5+ with group pricing.
Aligned to AWS ML Specialty, Microsoft DP-100 and Databricks ML credentials.
Receive your Learners Ink ML certificate, capstone defence credit and digital badge.
A transparent, feature-by-feature comparison so you can make an informed choice.
| Feature | Learners Ink | Typical Other Providers |
|---|---|---|
| Curriculum Depth | 50 hours: classical ML, DL, MLOps, applied GenAI and Responsible AI | Often 25 to 35 hours, classical ML only |
| Trainer Quality | Senior ML engineers from FAANG, GCC banks, Big 4 | Recorded video instructors with limited production ML experience |
| Live vs Pre-recorded | 100% live instructor-led, real-time code and design reviews | Often pre-recorded with limited mentor access |
| Deployment Capstone | Real FastAPI + Docker + monitoring deployment with defence | Toy notebooks without deployment |
| MLOps Coverage | MLflow, CI/CD for ML, monitoring, drift, champion-challenger | Skipped or surface-level |
| GenAI Coverage | Applied GenAI, RAG and embeddings for ML teams | Rarely included |
| Responsible AI | Fairness, SHAP/LIME, model cards, data sheets | Skipped |
| Career Services | Resume, LinkedIn, ML system design mocks, curated job board | Limited or upsell |
Side-by-side comparison of our three ML delivery formats so you can pick what fits your schedule, learning style and budget.
| Dimension | Classroom (In-Person) | Live Online (Virtual) | Hybrid (Blended) |
|---|---|---|---|
| Delivery Mode | Physical classroom, in-room instructor | Live Zoom or Microsoft Teams, real-time instructor | Mix of classroom days plus live online sessions |
| Learners Ink Accredited | Yes, Learners Ink-aligned curriculum | Yes, Learners Ink-aligned curriculum | Yes, Learners Ink-aligned curriculum |
| Curriculum Hours | Full Machine Learning Certification Training blueprint coverage | Full Machine Learning Certification Training blueprint coverage | Full Machine Learning Certification Training blueprint coverage |
| Interaction Level | Highest, in-room peer and instructor | High, breakouts, polls, live Q&A | Very high, classroom days plus virtual reinforcement |
| Schedule Flexibility | Fixed venue and dates | Most flexible, weekday or weekend cohorts | Moderate, anchored to classroom days |
| Travel and Commute | Daily commute to venue | Zero commute, learn from anywhere | Partial commute on classroom days only |
| Session Recordings | Not recorded | Recorded, 90 days portal access | Online sessions recorded, classroom days are live only |
| Networking | Strongest in-room networking | Global cohort networking via virtual breakouts | Best of both, in-person plus global cohort |
| Typical Fee Range | Premium, includes venue and refreshments | 20 to 25 percent lower than classroom | Mid-range between classroom and live online |
| Best Fit | Learners who thrive on in-room energy and local networking | Working professionals, frequent travellers, global learners | Learners who want classroom rigour with online convenience |
Note: Hybrid cohorts are available on request for corporate batches of 8 or more learners. Speak to a counsellor to design a blended schedule.
PhD ML, ex-FAANG Staff ML Engineer, Kaggle Grandmaster
Ravi has 14+ years of production ML at FAANG scale, with deep expertise in ranking, recommender systems and large-scale training infrastructure.
MSc AI, AWS ML Specialty, MLOps practitioner
Hala leads MLOps engineering at a GCC tier-1 bank. She specialises in regulated-industry ML, fairness audits and real-time inference platforms.
MS CS, Microsoft DP-100, Databricks Certified
Marcus has 11+ years of applied ML across retail and telecoms, with hands-on Transformer fine-tuning and production LLM deployment experience.
"Joined the Learners Ink ML cohort serving Marseille learners. PyTorch module was production-quality, and the local cohort dynamics across France made the experience genuinely worth the fee."
"Joined the Learners Ink ML cohort serving Marseille learners. MLflow lab was exactly what I needed, and the local cohort dynamics across France made the experience genuinely worth the fee."
"Joined the Learners Ink ML cohort serving Marseille learners. Ensemble methods finally made sense, and the local cohort dynamics across France made the experience genuinely worth the fee."
"Joined the Learners Ink ML cohort serving Marseille learners. End-to-end pipeline was the whole point, and the local cohort dynamics across France made the experience genuinely worth the fee."
ML is a career inflection point. Our learners get end-to-end support, from resume positioning and LinkedIn® optimisation to mock interviews and a curated ML job board.
ML Engineer-aligned CV review optimised for ATS keywords and recruiter scans.
Reposition for ML Engineer, Applied Scientist and Data Scientist recruiter searches.
ML system design, coding, math and case interviews with senior practitioners.
Hand-picked ML and Applied Scientist roles across product, fintech, healthcare and consulting.
Join Learners Ink ML alumni at FAANG, GCC banks, Big 4 and AI-native startups.
GitHub repo polishing, deployed demo reviews and Kaggle submission strategy.
Broader Data Science foundation including statistics, EDA and storytelling.
Learn moreDeep dive into LLM engineering, RAG and applied GenAI.
Learn morePair ML with cloud architecture for ML platform roles.
Learn moreAdd deeper CI/CD and infrastructure skills to your MLOps toolkit.
Learn moreSame Machine Learning Certification Training curriculum, locally relevant employer, salary and exam-centre context for nearby metros.
Join the next Live Online Machine Learning cohort on CET with recordings.