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Machine Learning Certification Training in Penang, Malaysia (Classroom)

In-person ML exam preparation in Penang. 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.

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Call Us: +91-7975864186
Officially accredited by
PMI Authorized Training Partner
PeopleCert Accredited Training Organisation
ITIL Accredited Training Organisation
75,000+ trained
50 Contact Hours
What is this course?

This in-person Machine Learning Certification Training in Penang 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 Penang 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.
Upcoming Batches

Upcoming ML Training Batches in Penang, Penang

Classroom cohorts in Penang, Penang. Small group sizes, named instructors, money-back guarantee.

Start DateModeScheduleFee (MYR)SeatsAction
Weekend BatchJuly 25-26 and August 1-2, 2026 (4-day weekend)
Classroom, Penang2 weekends (4 days), Sat-Sun, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Filling fast
Book Now
Weekday BatchJuly 28-31, 2026 (4-day intensive)
Classroom, Penang4-day intensive, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
12 of 25 left
Book Now
Weekend BatchAugust 22-23 and August 29-30, 2026 (4-day weekend)
Classroom, Penang2 weekends (4 days), Sat-Sun, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Weekday BatchAugust 25-28, 2026 (4-day intensive)
Classroom, Penang4-day intensive, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Weekend BatchSeptember 19-20 and September 26-27, 2026 (4-day weekend)
Classroom, Penang2 weekends (4 days), Sat-Sun, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Weekday BatchSeptember 22-25, 2026 (4-day intensive)
Classroom, Penang4-day intensive, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Weekend BatchOctober 24-25 and October 31 - November 1, 2026 (4-day weekend)
Classroom, Penang2 weekends (4 days), Sat-Sun, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Weekday BatchOctober 27-30, 2026 (4-day intensive)
Classroom, Penang4-day intensive, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
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Weekday BatchNovember 17-20, 2026 (4-day intensive)
Classroom, Penang4-day intensive, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Weekend BatchNovember 21-22 and November 28-29, 2026 (4-day weekend)
Classroom, Penang2 weekends (4 days), Sat-Sun, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Weekend BatchDecember 12-13 and December 19-20, 2026 (4-day weekend)
Classroom, Penang2 weekends (4 days), Sat-Sun, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Weekday BatchDecember 15-18, 2026 (4-day intensive)
Classroom, Penang4-day intensive, 9am to 5pm Penang time
$2,199$1,799Early Bird, save $400
Open
Book Now
Program Highlights

What Makes Our ML Program in Penang, Penang 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.

RM125,000 to RM235,000
Average ML salary in Penang (2026)
50 Hours
Learners Ink aligned instructor-led training
2,000+ Q
Practice questions + 2 full-length practice tests
38%
Median ML salary uplift vs non-certified

Why Get ML Certified in Penang, Penang?

Production-grade Machine Learning program covering regression, classification, ensembles and deep learning fundamentals with PyTorch and scikit-learn, taught by working ML engineers.

In Penang, Malaysia, 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.

Penang sees consistent ML postings each quarter. ML-certified professionals in Malaysia record a 38% median uplift over uncertified peers.

ML-certified professionals in Penang earn an average of RM125,000 to RM235,000 per year, a median uplift of 38% over uncertified peers. Penang hosts strong ML demand across semiconductors (Silicon Island), electronics, and medtech. Multinational and local firms treat ML as a default credential for senior delivery shortlists.

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 Penang?

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
Interactive ROI Tools

Calculate Your PMP Return on Investment in Penang, Penang

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 38% salary premium for PMP-certified professionals, per PMI Earning Power Salary Survey.
Post-PMP Annual Salary
MYR 162,840
Annual Uplift
+MYR 44,840
10-Year Lifetime Gain
MYR 448,400

Top Industries in Penang, Penang that Hire ML-Certified Professionals

Verified demand across the leading sectors driving ML hiring in Penang, Penang, with the marquee employers in each industry.

Banking and Financial Services

Intel Penang, AMD Penang, Bosch Penang

In Penang, banking and financial services regional banks and asset managers run transformation programs.

Technology and Telecom

Dell Penang

In Penang, technology and telecom tech employers and carriers hire technical PMs.

Manufacturing and Logistics

Bosch Penang

In Penang, manufacturing and logistics OEMs and global supply-chain hubs require certified PMs.

Construction and Real Estate

Intel Penang, AMD Penang, Bosch Penang

In Penang, construction and real estate urban mega-projects hire PMs for schedule and risk control.

Healthcare and Pharma

Intel Penang, AMD Penang, Bosch Penang

In Penang, healthcare and pharma hospital systems and pharma firms run regulated programs.

Government and Smart City

Intel Penang, AMD Penang, Bosch Penang

In Penang, government and smart city national digital and smart-city programs hire PMPs.

Leading Penang, Penang Employers Hiring ML-Certified Talent

Verified hiring patterns from the largest employers in Penang, Penang. ML-certified candidates are actively preferred or required for these roles.

EmployerIndustryWhy ML MattersTypical Roles
Intel PenangSemiconductorsLargest non-US Intel site.ML aligned senior delivery roles
AMD PenangSemiconductorsAssembly/test programs.ML aligned senior delivery roles
Bosch PenangManufacturingPlant programs.ML aligned senior delivery roles
Motorola PenangElectronicsPlant programs.ML aligned senior delivery roles
B BraunMedTechPlant programs.ML aligned senior delivery roles
Dell PenangTechnologyManufacturing programs.ML aligned senior delivery roles
Plexus ManufacturingElectronicsPlant programs.ML aligned senior delivery roles
Penang PortLogisticsPort programs.ML aligned senior delivery roles

Top ML Designations and Career Tracks in Penang, Penang

The most in-demand ML-tagged designations and the value each adds to your career.

Project Manager

In Penang, this role is the most-posted PM title locally across multiple sectors.

Senior Project Manager

In Penang, this role leads cross-functional delivery at large enterprises.

Program Manager

In Penang, this role owns multi-project portfolios at MNCs and government bodies.

PMO Lead

In Penang, this role drives portfolio governance at banks, telcos, and consulting firms.

Agile Delivery Lead

In Penang, this role blends PMP discipline with Scrum/SAFe for tech delivery.

Construction Project Manager

In Penang, this role leads capital projects across the metro region.

Salary & Career Path

ML Salary Progression in Penang, Penang

Source: LinkedIn Workforce Report, Glassdoor, Levels.fyi, Hired State of Tech (2026). ML-certified professionals in Penang earn 38% 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)
RM72,250 to RM118,000
Years of experience: 0-3
Project Manager (3-6 yrs)
RM118,000 to RM125,000
Years of experience: 3-6
Senior PM (6-10 yrs)
RM125,000 to RM235,000
Years of experience: 6-10
Program Manager (10-15 yrs)
RM170,000 to RM293,750
Years of experience: 10-15
PMO Director (15+ yrs)
RM235,000 to RM376,000
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 Penang, Penang 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 Penang 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 NameMachine Learning Certification Training (Classroom)
Duration50 Contact Hours
FormatIn-Person Classroom, Penang
AccreditationIndustry-aligned, capstone-based
Certification BodyLearners Ink
Class SizeMax 18 per cohort, personalised attention
CertificateCertificate of Completion from Learners Ink
Exam Prep2,000+ Practice Questions + 2 Full-Length Practice Tests with Answers and Explanations
Course Fee$1,799 (Early Bird) - was $2,199
Contact+91-7975864186
Emailsupport@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 Penang, Penang?

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 Penang, Penang?

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.

FeatureLearners InkTypical 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.

DimensionClassroom (In-Person)Live Online (Virtual)Hybrid (Blended)
Delivery ModePhysical classroom, in-room instructorLive Zoom or Microsoft Teams, real-time instructorMix of classroom days plus live online sessions
Learners Ink AccreditedYes, Learners Ink-aligned curriculumYes, Learners Ink-aligned curriculumYes, Learners Ink-aligned curriculum
Curriculum HoursFull Machine Learning Certification Training blueprint coverageFull Machine Learning Certification Training blueprint coverageFull Machine Learning Certification Training blueprint coverage
Interaction LevelHighest, in-room peer and instructorHigh, breakouts, polls, live Q&AVery high, classroom days plus virtual reinforcement
Schedule FlexibilityFixed venue and datesMost flexible, weekday or weekend cohortsModerate, anchored to classroom days
Travel and CommuteDaily commute to venueZero commute, learn from anywherePartial commute on classroom days only
Session RecordingsNot recordedRecorded, 90 days portal accessOnline sessions recorded, classroom days are live only
NetworkingStrongest in-room networkingGlobal cohort networking via virtual breakoutsBest of both, in-person plus global cohort
Typical Fee RangePremium, includes venue and refreshments20 to 25 percent lower than classroomMid-range between classroom and live online
Best FitLearners who thrive on in-room energy and local networkingWorking professionals, frequent travellers, global learnersLearners 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 Penang learners. PyTorch module was production-quality, and the local cohort dynamics across Malaysia made the experience genuinely worth the fee."
Karthik R.
ML Engineer, Indian SaaS , Penang
"Joined the Learners Ink ML cohort serving Penang learners. MLflow lab was exactly what I needed, and the local cohort dynamics across Malaysia made the experience genuinely worth the fee."
Jenna T.
Senior DS turned MLE, US fintech , Penang
"Joined the Learners Ink ML cohort serving Penang learners. Ensemble methods finally made sense, and the local cohort dynamics across Malaysia made the experience genuinely worth the fee."
Yuto S.
ML Engineer, Japan AI startup , Penang
"Joined the Learners Ink ML cohort serving Penang learners. End-to-end pipeline was the whole point, and the local cohort dynamics across Malaysia made the experience genuinely worth the fee."
Camila P.
ML Lead, Brazil e-commerce , Penang
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 Penang, Penang

Related Cities

ML Training in Cities Near Penang, Penang

Same Machine Learning Certification Training curriculum, locally relevant employer, salary and exam-centre context for nearby metros.

Ready to Earn Your ML Certification in Penang?

Join the next in-person cohort in Penang. Limited seats per batch for personalised attention.

Rated 4.7 / 5 on Trustpilot