Banking
Itau Unibanco
Itau, Bradesco, Santander Brasil run digital PMP programs.
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Machine Learning Certification Training in Natal, Brazil (Classroom)
In-person ML exam preparation in Natal. Learners Ink-aligned 50 Contact Hours curriculum, expert instructors, hands-on workshops and peer networking. Includes 2,000+ practice questions and 2 full-length practice tests with full answer explanations.
Call Us: +1-408-444-7579Officially accredited by
75,000+ trained
50 Contact Hours
What is this course?
This in-person Machine Learning Certification Training in Natal is designed for senior practitioners who learn faster in a live room with peers and an expert facilitator. Alongside the classroom sessions learners get a dedicated ML mentor, Learners Ink application and audit help, printed job aids, weekend doubt-clearing clinics after the cohort ends and a written pass or refund commitment. Typical learners in Natal sit the exam within 8 to 10 weeks of the classroom weekends and tap the venue's alumni network for their next ML role. 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.
Classroom (In-Person)You are here
In-person sessions at our Natal, Rio Grande do Norte venue with live instructor.
Switch to Live Online
Join from anywhere on Zoom or MS Teams, weekday and weekend cohorts.
Self-Paced E-Learning
Lifetime access, study at your own pace, includes practice tests.
Upcoming Batches
Upcoming ML Training Batches in Natal, Rio Grande do Norte
Classroom cohorts in Natal, Rio Grande do Norte. Small group sizes, named instructors, money-back guarantee.
| Start Date | Mode | Schedule | Fee (BRL) | Seats | Action |
|---|---|---|---|---|---|
Weekend BatchJuly 25-26 and August 1-2, 2026 (4-day weekend) | Classroom, Natal | 2 weekends (4 days), Sat-Sun, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Filling fast | |
Weekday BatchJuly 28-31, 2026 (4-day intensive) | Classroom, Natal | 4-day intensive, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | 12 of 25 left | |
Weekend BatchAugust 22-23 and August 29-30, 2026 (4-day weekend) | Classroom, Natal | 2 weekends (4 days), Sat-Sun, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchAugust 25-28, 2026 (4-day intensive) | Classroom, Natal | 4-day intensive, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekend BatchSeptember 19-20 and September 26-27, 2026 (4-day weekend) | Classroom, Natal | 2 weekends (4 days), Sat-Sun, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchSeptember 22-25, 2026 (4-day intensive) | Classroom, Natal | 4-day intensive, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekend BatchOctober 24-25 and October 31 - November 1, 2026 (4-day weekend) | Classroom, Natal | 2 weekends (4 days), Sat-Sun, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchOctober 27-30, 2026 (4-day intensive) | Classroom, Natal | 4-day intensive, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchNovember 17-20, 2026 (4-day intensive) | Classroom, Natal | 4-day intensive, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekend BatchNovember 21-22 and November 28-29, 2026 (4-day weekend) | Classroom, Natal | 2 weekends (4 days), Sat-Sun, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekend BatchDecember 12-13 and December 19-20, 2026 (4-day weekend) | Classroom, Natal | 2 weekends (4 days), Sat-Sun, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchDecember 15-18, 2026 (4-day intensive) | Classroom, Natal | 4-day intensive, 9am to 5pm Natal time | $2,199$1,799Early Bird, save $400 | Open |
Program Highlights
What Makes Our ML Program in Natal, Rio Grande do Norte 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.
R$124,200 to R$239,200
Average ML salary in Natal (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 Natal, Rio Grande do Norte?
Production-grade Machine Learning program covering regression, classification, ensembles and deep learning fundamentals with PyTorch and scikit-learn, taught by working ML engineers.
In Natal, Brazil, 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.
Natal posts a meaningful share of brazil's BFSI and energy PM roles each quarter. ML-certified professionals in the area earn a 30-35 percent uplift, with Brazilian income tax (IRPF) and INSS.
ML-certified professionals in Natal earn an average of R$124,200 to R$239,200 per year, a median uplift of 40% over uncertified peers. Natal's banking and energy sector drives steady demand for certified project managers, with Itau Unibanco and Petrobras 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
In-Person Classroom
Why Choose Classroom ML Training in Natal?
In-person learning delivers focus, networking and instructor engagement you cannot replicate online. Here is what makes our classroom cohorts stand out.
In-Person Pair Programming
Side-by-side coding and ML system design on whiteboards.
Peer Networking and Study Groups
Build a network with ML engineers from leading employers.
Hands-On Lab Energy
50+ Jupyter and PyTorch labs with mentor code reviews.
Distraction-Free Learning
A dedicated training venue removes home distractions for 50 intensive hours.
Premium Training Venues
Centrally located with full amenities, printed materials and parking.
Same Curriculum, In-Person Energy
Identical 50-hour ML curriculum with the energy of in-room workshops.
Prefer the Live Online Virtual Classroom? Same curriculum, same instructors, same certificate.
View Live Online Program Also available for Natal, Rio Grande do Norte: Classroom Training in Natal, Rio Grande do Norte· Live Online Training· Self-Paced E-Learning
Interactive ROI Tools
Calculate Your PMP Return on Investment in Natal, Rio Grande do Norte
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
R$167,440
Annual Uplift
+R$47,840
10-Year Lifetime Gain
R$478,400
Top Industries in Natal, Rio Grande do Norte that Hire ML-Certified Professionals
Verified demand across the leading sectors driving ML hiring in Natal, Rio Grande do Norte, with the marquee employers in each industry.
Oil and Gas
Itau Unibanco, Petrobras, Vale
Petrobras and Vale capex programs.
IT Services
TCS Brasil, Stefanini
TCS Brasil, Stefanini, Globant LatAm hire PMPs.
Telecom
Itau Unibanco, Petrobras, Vale
Vivo, Claro drive 5G rollout PM hiring.
Leading Natal, Rio Grande do Norte Employers Hiring ML-Certified Talent
Verified hiring patterns from the largest employers in Natal, Rio Grande do Norte. ML-certified candidates are actively preferred or required for these roles.
| Employer | Industry | Why ML Matters | Typical Roles |
|---|---|---|---|
| Itau Unibanco | Banking | Largest Brazilian bank, digital PMO. | ML aligned senior delivery roles |
| Petrobras | Energy | Capex programs worth billions. | ML aligned senior delivery roles |
| Vale | Mining | Global mining PM cohort. | ML aligned senior delivery roles |
| TCS Brasil | IT Services | Largest delivery centre in LatAm. | ML aligned senior delivery roles |
| Stefanini | IT Services | Brazilian IT services major. | ML aligned senior delivery roles |
Top ML Designations and Career Tracks in Natal, Rio Grande do Norte
The most in-demand ML-tagged designations and the value each adds to your career.
Gerente de Projetos
Portuguese PM title, most posted.
Project Manager
Multinational English postings.
Gerente de Programa
Portfolio role.
Salary & Career Path
ML Salary Progression in Natal, Rio Grande do Norte
Source: LinkedIn Workforce Report, Glassdoor, Levels.fyi, Hired State of Tech (2026). ML-certified professionals in Natal 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)
R$78,660 to R$119,600
Years of experience: 0-3
Project Manager (3-6 yrs)
R$119,600 to R$170,200
Years of experience: 3-6
Senior PM (6-10 yrs)
R$124,200 to R$239,200
Years of experience: 6-10
Program Manager (10-15 yrs)
R$170,200 to R$299,000
Years of experience: 10-15
PMO Director (15+ yrs)
R$239,200 to R$406,640
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 Natal, Rio Grande do Norte 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 classroom ML program in Natal is a face-to-face, Learners Ink-aligned course delivered across 50 Contact Hours of instructor-led training with in-room collaboration and peer networking.
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 (Classroom) |
| Duration | 50 Contact Hours |
| Format | In-Person Classroom, Natal |
| Accreditation | Industry-aligned, capstone-based |
| Certification Body | Learners Ink |
| Class Size | Max 18 per cohort, personalised attention |
| Certificate | Certificate of Completion from Learners Ink |
| Exam Prep | 2,000+ Practice Questions + 2 Full-Length Practice Tests with Answers and Explanations |
| Course Fee | $1,799 (Early Bird) - was $2,199 |
| 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 Natal, Rio Grande do Norte?
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 Natal, Rio Grande do Norte?
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 Natal learners. PyTorch module was production-quality, and the local cohort dynamics across Brazil made the experience genuinely worth the fee."
Karthik R.
ML Engineer, Indian SaaS , Natal
"Joined the Learners Ink ML cohort serving Natal learners. MLflow lab was exactly what I needed, and the local cohort dynamics across Brazil made the experience genuinely worth the fee."
Jenna T.
Senior DS turned MLE, US fintech , Natal
"Joined the Learners Ink ML cohort serving Natal learners. Ensemble methods finally made sense, and the local cohort dynamics across Brazil made the experience genuinely worth the fee."
Yuto S.
ML Engineer, Japan AI startup , Natal
"Joined the Learners Ink ML cohort serving Natal learners. End-to-end pipeline was the whole point, and the local cohort dynamics across Brazil made the experience genuinely worth the fee."
Camila P.
ML Lead, Brazil e-commerce
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 Natal, Rio Grande do Norte
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ML Training in Cities Near Natal, Rio Grande do Norte
Same Machine Learning Certification Training curriculum, locally relevant employer, salary and exam-centre context for nearby metros.
Ready to Earn Your ML Certification in Natal?
Join the next in-person cohort in Natal. Limited seats per batch for personalised attention.
Rated 4.7 / 5 on Trustpilot