Banking and Financial Services
RBC, TD Bank, Scotiabank
Big Five Canadian banks run sustained transformation programs.
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4.8/5 Trustpilot
Machine Learning Certification Training in Laval, Canada (Live Online)
Live instructor-led ML exam preparation from anywhere in Laval and Canada. Learners Ink-aligned 50 Contact Hours curriculum, live Zoom or Microsoft Teams sessions, 90-day recordings, 2,000+ practice questions and 2 full-length practice tests with detailed answer explanations.
Call Us: +1-408-444-7579Officially accredited by
75,000+ trained
50 Contact Hours
What is this course?
This Live Online Machine Learning Certification Training in Laval is built for working professionals in Canada who want to earn the Learners Ink ML credential without pausing their careers. Every learner is paired with a certified mentor for the full journey, gets eligibility and application support, weekly doubt-clearing clinics and a written pass or refund commitment. Most cohort members in Laval complete the coursework, application and exam inside 10 to 12 weeks of joining. Includes end-to-end ML pipeline (data prep, feature engineering, model training, evaluation, deployment) with MLflow and FastAPI.
Pick your delivery format
Same curriculum, same instructors, same certificate.
Live Online (Virtual Classroom)You are here
Live instructor on Zoom or MS Teams, weekday and weekend cohorts.
Switch to Classroom
In-person sessions at our Laval, Quebec venue with live instructor.
Self-Paced E-Learning
Lifetime access, study at your own pace, includes practice tests.
Upcoming Batches
Upcoming ML Training Batches in Laval, Quebec
Live Online cohorts on Zoom or MS Teams. Small group sizes, named instructors, money-back guarantee.
| Start Date | Mode | Schedule | Fee (CAD) | 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 | C$1,299C$999Early Bird, save C$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 | C$1,299C$999Early Bird, save C$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 | C$1,299C$999Early Bird, save C$300 | Open | |
Weekday BatchAugust 25-28, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | C$1,299C$999Early Bird, save C$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 | C$1,299C$999Early Bird, save C$300 | Open | |
Weekday BatchSeptember 22-25, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | C$1,299C$999Early Bird, save C$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 | C$1,299C$999Early Bird, save C$300 | Open | |
Weekday BatchOctober 27-30, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | C$1,299C$999Early Bird, save C$300 | Open | |
Weekday BatchNovember 17-20, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | C$1,299C$999Early Bird, save C$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 | C$1,299C$999Early Bird, save C$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 | C$1,299C$999Early Bird, save C$300 | Open | |
Weekday BatchDecember 15-18, 2026 (4-day intensive) | Live Online (Zoom / MS Teams) | 4-day intensive, 9am to 5pm local time zone | C$1,299C$999Early Bird, save C$300 | Open |
Program Highlights
What Makes Our ML Program in Laval, Quebec Different
Industry-Aligned Certificate
Learners Ink Machine Learning certificate plus aligned pathways to AWS ML Specialty, Microsoft DP-100 and Databricks ML credentials.
Production-Grade Pipelines
Build reproducible scikit-learn and PyTorch pipelines with MLflow tracking, FastAPI serving and Docker packaging.
Deployment Capstone
Ship a real ML service end-to-end: dataset to API with monitoring, drift detection and stakeholder defence.
Deep Learning Depth
CNNs, RNNs, Transformers and transfer learning with PyTorch on real image, text and tabular tasks.
Senior ML Engineer Instructors
Practitioners from FAANG, GCC banks and Big 4 with active production ML and MLOps experience.
2 Full-Length Practice Tests
100-question simulated assessments with answers and explanations across classical ML, DL and MLOps.
C$102,600 to C$182,400
Average ML salary in Laval (2026)
50 Hours
Learners Ink aligned instructor-led training
2,000+ Q
Practice questions + 2 full-length practice tests
40%
Median ML salary uplift vs non-certified
Why Get ML Certified in Laval, Quebec?
Production-grade Machine Learning program covering regression, classification, ensembles and deep learning fundamentals with PyTorch and scikit-learn, taught by working ML engineers.
In Laval, Canada, ML Engineer postings grew 47% in 2026 with PyTorch and scikit-learn fluency in 84% of listings. ML engineers command 25-50% premiums over generalist data scientists.
Laval contributes a meaningful share of Quebec's ML-tagged roles each quarter. ML-certified professionals in the area earn a notable uplift over uncertified peers, with take-home pay set by the local tax regime.
ML-certified professionals in Laval earn an average of C$102,600 to C$182,400 per year, a median uplift of 40% over uncertified peers. Laval's biotech sector keeps demand for certified project managers steady, with Bombardier and Cirque du Soleil among the local employers running ML-led delivery programs.
Learning Outcomes
What You Will Master in this ML Program
Twelve outcome pillars mapped to the PMI® Examination Content Outline, with deep practice across People, Process and Business Environment.
Classical ML Mastery
Regression, classification, ensembles, clustering and dimensionality reduction with rigorous evaluation.
Pipelines and Reproducibility
scikit-learn Pipelines, ColumnTransformer, MLflow tracking, model registry and versioning.
Deep Learning with PyTorch
Neural networks, CNNs, RNNs, Transformers and transfer learning on real datasets.
Applied GenAI for ML
Use LLM APIs and RAG patterns for feature ideation, data labelling and model evaluation.
MLOps
FastAPI serving, Docker, CI/CD for ML, model monitoring, drift detection and retraining triggers.
Advanced Evaluation
Cross-validation strategies, calibration, fairness, uncertainty and explainability with SHAP and LIME.
Hyperparameter Optimisation
GridSearch, RandomSearch, Bayesian optimisation with Optuna and automated ML basics.
Recommender and Ranking
Collaborative filtering, matrix factorisation, learning-to-rank and embedding-based retrieval.
Big Data ML
PySpark MLlib, distributed training intro and feature stores.
Deployment Capstone
Ship a real ML service end-to-end with monitoring, alerting and defence presentation.
Responsible AI
Bias, fairness, privacy, explainability and governance for production ML.
ML Engineer Portfolio
Public GitHub portfolio, deployed demos and a polished case-study writeup.
Skills Covered
70+ Data Science & AI Skills You Will Build
Core Machine Learning Certification Training competencies aligned to the latest Learners Ink exam blueprint, ready to apply on day one.
Python 3.11scikit-learnXGBoostLightGBMCatBoostPyTorchTensorFlow basicsHugging Face TransformersOptunaMLflowFastAPIDockerKubernetes basicsGitHub Actions for MLDVCFeature Stores introPySpark MLlibRegressionClassificationEnsemblesBoostingStackingClusteringPCARecommender SystemsLearning to RankTime Series MLAnomaly DetectionNeural NetworksCNNRNN and LSTMTransformer ArchitecturesAttentionTransfer LearningImage ClassificationObject Detection IntroNLP PipelinesTokenisationEmbeddingsCross-ValidationBayesian Hyperparameter TuningAutoML IntroCalibrationROC/AUCBias-Variance Trade-offClass ImbalanceSMOTECost-Sensitive LearningSHAPLIMEPermutation ImportanceCounterfactual ExplanationsFairness MetricsModel MonitoringData DriftConcept DriftChampion-ChallengerShadow DeploymentA/B Testing for MLOnline LearningReinforcement Learning IntroPrompt EngineeringLLM APIsRAGVector DatabasesEmbedding SearchResponsible AIDifferential Privacy IntroModel CardsData Sheets
Live Online Platform
Enterprise-Grade Virtual Classroom Tools
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.
Zoom® MS Teams® Google Meet™ Cisco Webex®
Zoom Pro
Primary live cohort sessions with breakouts for pair-programming labs
Google Colab Pro and JupyterHub
Cloud notebooks with GPU access for deep-learning labs
GitHub Classroom
Assignment distribution, code review and portfolio building
MLflow Tracking Server
Experiment tracking, model registry and reproducibility
Hugging Face Spaces
Deploy ML and LLM mini projects publicly
Weights & Biases
Optional experiment tracking and team collaboration
Slack Cohort Channel
Daily Q&A, instructor office hours and peer code review
LMS Learner Portal
12-month access to recordings, 150+ notebooks and 2 full-length proficiency tests
Live Online Virtual Classroom
Why Choose Live Online ML Training in Laval?
Live online delivers all the rigour of classroom training with zero commute, flexible scheduling, recorded sessions and 20 to 25 percent lower fees.
Learn from Anywhere, Zero Commute
Join live ML sessions from your home office, co-working space or anywhere.
100% Live Instructor-Led, Not Recorded
Real-time interaction with senior ML engineers via Zoom or Microsoft Teams.
12-Month Recordings
Every live session is available for 12 months in your learner portal.
Cloud GPU Labs
Colab Pro and JupyterHub with GPU access for deep-learning labs.
Lower Total Cost
Live online cohorts are priced 20 to 25 percent lower than classroom.
Flexible Schedule Options
Choose weekday evenings, weekend or split-week schedules.
Global Cohort Diversity
Learn alongside ML practitioners from multiple countries and industries.
Same Certificate Value
Identical Learners Ink certificate, capstone and career services.
Prefer the in-person Classroom? Same curriculum, same instructors, same certificate.
View Classroom Program Also available for Laval, Quebec: Classroom Training in Laval, Quebec· Live Online Training· Self-Paced E-Learning
Interactive ROI Tools
Calculate Your PMP Return on Investment in Laval, Quebec
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.
10 years
Assumes a 40% salary premium for PMP-certified professionals, per PMI Earning Power Salary Survey.
Post-PMP Annual Salary
CA$135,660
Annual Uplift
+CA$38,760
10-Year Lifetime Gain
CA$387,600
Top Industries in Laval, Quebec that Hire ML-Certified Professionals
Verified demand across the leading sectors driving ML hiring in Laval, Quebec, with the marquee employers in each industry.
Technology and SaaS
Shopify
Toronto-Waterloo tech corridor active in PM hiring.
Energy and Mining
Suncor
Alberta oil sands and mining capex programs.
Public Sector
Bombardier, RBC, TD Bank
Federal and provincial PMP-led programs.
Construction and Infrastructure
Bombardier, RBC, TD Bank
Infrastructure spend keeps construction PMP demand high.
Consulting
Deloitte Canada
Big Four Canada PMP baseline for senior roles.
Leading Laval, Quebec Employers Hiring ML-Certified Talent
Verified hiring patterns from the largest employers in Laval, Quebec. ML-certified candidates are actively preferred or required for these roles.
| Employer | Industry | Why ML Matters | Typical Roles |
|---|---|---|---|
| Bombardier | Aerospace | Montreal HQ, program manager demand. | ML aligned senior delivery roles |
| RBC | Banking | Largest Canadian bank by market cap. | ML aligned senior delivery roles |
| TD Bank | Banking | Active transformation PMO. | ML aligned senior delivery roles |
| Scotiabank | Banking | International banking programs. | ML aligned senior delivery roles |
| Shopify | Technology | Canadian e-commerce giant, technical PMs. | ML aligned senior delivery roles |
| Suncor | Energy | Largest Canadian oil and gas firm. | ML aligned senior delivery roles |
| Deloitte Canada | Consulting | Big Four Canada, PMP a baseline. | ML aligned senior delivery roles |
| CGI | IT Services | Canadian IT services major. | ML aligned senior delivery roles |
Top ML Designations and Career Tracks in Laval, Quebec
The most in-demand ML-tagged designations and the value each adds to your career.
Project Manager
Most-posted Canadian PM role.
Senior Project Manager
Banking, tech, consulting.
Program Manager
Portfolio role at enterprises.
PMO Director
Governance role at Big Five banks.
Engagement Manager
Big Four consulting.
Technical PM
Toronto-Waterloo tech corridor.
Salary & Career Path
ML Salary Progression in Laval, Quebec
Source: LinkedIn Workforce Report, Glassdoor, Levels.fyi, Hired State of Tech (2026). ML-certified professionals in Laval earn 40% more on average than non-certified peers, with the certification typically paying for itself within the first 4 to 8 months of post-certification uplift.
Salary Bands (Midpoint Visualised)
Associate PM (0-3 yrs)
C$66,690 to C$96,900
Years of experience: 0-3
Project Manager (3-6 yrs)
C$96,900 to C$136,800
Years of experience: 3-6
Senior PM (6-10 yrs)
C$102,600 to C$182,400
Years of experience: 6-10
Program Manager (10-15 yrs)
C$136,800 to C$228,000
Years of experience: 10-15
PMO Director (15+ yrs)
C$182,400 to C$310,080
Years of experience: 15+
Practice & Mock Exams
2 Full-Length Practice Tests with Answers and Explanations
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.
01
Machine Learning Proficiency Test 1 (Full Length)
100 Q180 min
Full simulation across classical ML, deep learning and MLOps with code-reading items, answer rationale and skill-gap map
02
Machine Learning Proficiency Test 2 (Full Length)
100 Q180 min
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.
Free ML Resources & Downloads
Free ML Study Resources for Laval, Quebec Learners
Download our complete library of free ML preparation resources, no email gate on the practice test, just instant access.
Most Popular
Practice Test
Free ML Mini Practice Test (25 Questions)
Classical ML, DL and MLOps mini test with instant scoring and answer rationale.
PDF Download
ML Algorithms One-Pager (PDF)
All major supervised and unsupervised algorithms with use cases and trade-offs.
PDF Download
MLOps Reference Architecture
End-to-end MLOps reference: training, registry, serving, monitoring and retraining.
PDF Download
Deep Learning Cheat Sheet
Architectures, losses, optimisers and regularisation on a printable reference page.
Research Report
ML Engineer Salary Benchmark 2026
City-by-city ML Engineer and Applied Scientist salary data from LinkedIn and Glassdoor.
Template
10-Week ML Study Planner
Day-by-day editable planner with mini-project and capstone checkpoints.
Brochure
Brochure: Learners Ink ML Program
Course outline, fee schedule, batch calendar and instructor profiles.
Your ML Roadmap
From Enrolment to ML, a Six-Step Journey
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.
1
Career Counselling Call
Free 30-minute call to map your background and confirm ML readiness.
2
Enrol and Pre-Work
Receive Python and math refresher pack, environment setup and access to the LMS.
3
50-Hour Training
Live cohort across classical ML, deep learning, MLOps, applied GenAI and Responsible AI.
4
Graded Projects
Complete 4 graded ML projects: tabular, NLP, computer vision and time series.
5
Deployment Capstone
Ship an end-to-end ML service with FastAPI, Docker, MLflow and monitoring.
6
Earn Your Certificate
Pass the internal proficiency assessment plus capstone defence to receive your Learners Ink ML certificate.
Course Overview
ML Certification Training, Course Overview
The Learners Ink Live Online ML program delivers the full 50 Contact Hours Learners Ink-aligned curriculum via instructor-led Zoom or Microsoft Teams sessions, accessible from anywhere in Laval, Canada or globally.
What You Will Learn
- Classical ML: regression, classification, ensembles, clustering, recommenders
- Deep learning: NN, CNN, RNN, Transformers and transfer learning with PyTorch
- Hyperparameter optimisation: Optuna, AutoML basics
- MLOps: MLflow, FastAPI, Docker, CI/CD for ML, monitoring and drift
- Applied GenAI for ML teams: LLM APIs, RAG, vector databases
- Embeddings, semantic search and retrieval-augmented patterns
- Responsible AI: fairness, explainability, model cards, data sheets
- ML system design and architecture trade-offs
- 1,000+ practice questions plus 2 full-length proficiency tests with answers and explanations
- Deployment capstone: end-to-end ML service with monitoring and defence
- ML Engineer portfolio: GitHub repos, deployed demos, case-study writeups
- Interview readiness: coding, math, ML system design and behavioural
Course Details
| 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 | C$999 (Early Bird) - was C$1,299 |
| Contact | +1-408-444-7579 |
| support@learnersink.com |
Eligibility
ML Exam Eligibility Requirements
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.
Pathway: Learners Ink Machine Learning Certificate
- Working Python, pandas/NumPy and basic statistics required
- Complete 50 hours of live instructor-led training
- Submit 4 graded ML projects across tabular, NLP, CV and time series
- Pass the internal proficiency assessment (100 questions, 70 percent pass mark)
- Complete and defend the deployment capstone with monitoring
- Optional: prepare for AWS ML Specialty, Microsoft DP-100 or Databricks ML credentials
Who Should Attend This ML Training in Laval, Quebec?
Ideal for professionals who lead, manage or coordinate projects and are ready to earn a globally recognised credential.
Aspiring ML Engineer
End-to-end production-grade ML from classical to deep learning to MLOps
Data Scientist
Level up from notebooks into deployed, monitored ML systems
Software Engineer
Pivot into ML Engineering and Applied Science roles
Data Engineer
Add modelling, training and deployment depth to data platform skills
Backend Engineer
Build production ML services with FastAPI, Docker and CI/CD for ML
AI Researcher
Add MLOps, deployment and Responsible AI to research depth
Product Manager
Lead ML-powered products with hands-on system design literacy
Tech Lead / Architect
Design ML platforms, feature stores and monitoring strategies
DevOps / SRE
Specialise into MLOps and ML platform engineering
Quant Analyst
Modernise quant pipelines with production ML and DL
Domain SME
Healthcare, retail, banking and telecoms SMEs leading ML initiatives
PhD / Researcher
Translate research skills into industry ML Engineer roles
Career Switcher
Structured ML program with capstone and portfolio output
Consultant
Lead client ML engagements with credible production experience
Cloud Engineer
Specialise into ML platform engineering on AWS, Azure or GCP
Full ML Syllabus
ML Certification Training Curriculum
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.
1.1 Regression
- → Linear, Ridge, Lasso, ElasticNet
- → Polynomial features and splines
- → Quantile and robust regression
- → Diagnostics and assumptions
1.2 Classification
- → Logistic Regression
- → Decision Trees
- → k-NN, Naive Bayes, SVM
- → Class imbalance and SMOTE
1.3 Ensembles
- → Bagging and Random Forests
- → Gradient Boosting
- → XGBoost, LightGBM, CatBoost
- → Stacking and blending
1.4 Evaluation
- → K-Fold, Stratified, GroupKFold
- → Calibration and threshold tuning
- → ROC AUC, PR AUC, F1, MCC
- → Bias-variance trade-off
1.5 Pipelines and Reproducibility
- → scikit-learn Pipeline and ColumnTransformer
- → Leakage prevention
- → MLflow tracking and registry
- → Seed and environment pinning
Why Choose Learners Ink for Your ML Certification in Laval, Quebec?
Production-Grade 50-Hour Curriculum
Classical ML through deployment: DL, MLOps, applied GenAI and Responsible AI.
Senior ML Engineer Trainers
Instructors from FAANG, GCC banks, Big 4 with active production ML and MLOps experience.
AXELOS, PMI, Scrum Alliance Accredited
Also officially accredited for PRINCE2, ITIL, PMI and Scrum Alliance credentials.
75,000+ Professionals Trained
Across Fortune 500 companies and government agencies since 2019.
100% Live Classes
Every class is live, never pre-recorded, with real-time Q&A and pair coding.
Real Deployment Capstone
End-to-end FastAPI + Docker + monitoring deployment, not toy notebooks.
Multiple Delivery Formats
Weekday, weekend or accelerated bootcamp, live online or in-person.
Applied GenAI Module
LLM APIs, RAG, embeddings and prompt engineering for ML teams.
MLOps Depth
MLflow, CI/CD for ML, monitoring, drift, champion-challenger patterns.
Responsible AI Coverage
Fairness, SHAP/LIME, model cards and data sheets in every capstone.
Rated 4.7 / 5 on Trustpilot
Real reviews from ML alumni across the USA, UK, UAE, Australia and India.
100% Money-Back Guarantee
If our training does not meet your expectations, a full refund is available.
Free Re-Sit Within 12 Months
Re-attend any future cohort, classroom or live online, free of cost for revision.
ML System Design Mocks
Mock interviews on coding, math and ML system design with senior practitioners.
Career Services
Resume polish, LinkedIn makeover, mock interviews and curated ML job board.
Corporate and Group Training
Tailored in-house ML programs for teams of 5+ with group pricing.
Optional Vendor Pathways
Aligned to AWS ML Specialty, Microsoft DP-100 and Databricks ML credentials.
Globally Recognised Certificate
Receive your Learners Ink ML certificate, capstone defence credit and digital badge.
How We Compare
Learners Ink vs Other ML Training Providers
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 |
Choose Your Format
Classroom vs Live Online vs Hybrid ML Training
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.
Meet Your Instructors
Senior Practitioners, Not Career Trainers
DR
Dr. Ravi Bhardwaj
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.
HA
Hala Al-Mansoori
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.
ML
Marcus Lee
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.
Student Reviews
What Our Students Say About Learners Ink ML Training
Rated 4.7 / 5 from 170+ verified students
"Joined the Learners Ink ML cohort serving Laval learners. PyTorch module was production-quality, and the local cohort dynamics across Canada made the experience genuinely worth the fee."
Karthik R.
ML Engineer, Indian SaaS , Laval
"Joined the Learners Ink ML cohort serving Laval learners. MLflow lab was exactly what I needed, and the local cohort dynamics across Canada made the experience genuinely worth the fee."
Jenna T.
Senior DS turned MLE, US fintech , Laval
"Joined the Learners Ink ML cohort serving Laval learners. Ensemble methods finally made sense, and the local cohort dynamics across Canada made the experience genuinely worth the fee."
Yuto S.
ML Engineer, Japan AI startup , Laval
"Joined the Learners Ink ML cohort serving Laval learners. End-to-end pipeline was the whole point, and the local cohort dynamics across Canada made the experience genuinely worth the fee."
Camila P.
ML Lead, Brazil e-commerce , Laval
Career Services & Alumni Support
Beyond Certification, A Career Services Layer
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.
Resume and CV Review
ML Engineer-aligned CV review optimised for ATS keywords and recruiter scans.
LinkedIn Profile Makeover
Reposition for ML Engineer, Applied Scientist and Data Scientist recruiter searches.
Mock Interview Coaching
ML system design, coding, math and case interviews with senior practitioners.
Curated ML Job Board
Hand-picked ML and Applied Scientist roles across product, fintech, healthcare and consulting.
Alumni Network
Join Learners Ink ML alumni at FAANG, GCC banks, Big 4 and AI-native startups.
Portfolio Coaching
GitHub repo polishing, deployed demo reviews and Kaggle submission strategy.
FAQs
Frequently Asked Questions, ML Training in Laval, Quebec
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Learn moreReady to Earn Your ML Certification Online from Laval?
Join the next Live Online cohort. Zero commute, live instructor, 90-day recordings for revision.
Rated 4.7 / 5 on Trustpilot