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Machine Learning Certification Training in Brno, Czechia (Classroom)

In-person ML exam preparation in Brno. 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: +1-408-444-7579
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 Brno 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 Brno 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 Brno, South Moravian

Classroom cohorts in Brno, South Moravian. Small group sizes, named instructors, money-back guarantee.

Start DateModeScheduleFee (CZK)SeatsAction
Weekend BatchJuly 25-26 and August 1-2, 2026 (4-day weekend)
Classroom, Brno2 weekends (4 days), Sat-Sun, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Filling fast
Book Now
Weekday BatchJuly 28-31, 2026 (4-day intensive)
Classroom, Brno4-day intensive, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
12 of 25 left
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Weekend BatchAugust 22-23 and August 29-30, 2026 (4-day weekend)
Classroom, Brno2 weekends (4 days), Sat-Sun, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
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Weekday BatchAugust 25-28, 2026 (4-day intensive)
Classroom, Brno4-day intensive, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
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Weekend BatchSeptember 19-20 and September 26-27, 2026 (4-day weekend)
Classroom, Brno2 weekends (4 days), Sat-Sun, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
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Weekday BatchSeptember 22-25, 2026 (4-day intensive)
Classroom, Brno4-day intensive, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
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Weekend BatchOctober 24-25 and October 31 - November 1, 2026 (4-day weekend)
Classroom, Brno2 weekends (4 days), Sat-Sun, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
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Weekday BatchOctober 27-30, 2026 (4-day intensive)
Classroom, Brno4-day intensive, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
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Weekday BatchNovember 17-20, 2026 (4-day intensive)
Classroom, Brno4-day intensive, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
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Weekend BatchNovember 21-22 and November 28-29, 2026 (4-day weekend)
Classroom, Brno2 weekends (4 days), Sat-Sun, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
Book Now
Weekend BatchDecember 12-13 and December 19-20, 2026 (4-day weekend)
Classroom, Brno2 weekends (4 days), Sat-Sun, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
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Weekday BatchDecember 15-18, 2026 (4-day intensive)
Classroom, Brno4-day intensive, 9am to 5pm Brno time
€2,199€1,799Early Bird, save €400
Open
Book Now
Program Highlights

What Makes Our ML Program in Brno, South Moravian 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.

950,000 Kč to 1,615,000 Kč
Average ML salary in Brno (2026)
50 Hours
Learners Ink aligned instructor-led training
2,000+ Q
Practice questions + 2 full-length practice tests
32%
Median ML salary uplift vs non-certified

Why Get ML Certified in Brno, South Moravian?

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

In Brno, Czechia, 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.

Brno contributes a meaningful share of Czechia'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 Brno earn an average of 950,000 Kč to 1,615,000 Kč per year, a median uplift of 32% over uncertified peers. Brno's IT services sector keeps demand for certified project managers steady, with IBM and AT&T 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 Brno?

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 Brno, South Moravian

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 32% salary premium for PMP-certified professionals, per PMI Earning Power Salary Survey.
Post-PMP Annual Salary
CZK 1,203,840
Annual Uplift
+CZK 291,840
10-Year Lifetime Gain
CZK 2,918,400

Top Industries in Brno, South Moravian that Hire ML-Certified Professionals

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

IT services and Auto

Top Czechia IT Services Firm

Czechia firms in it services and auto hire PMPs for delivery leadership.

Banking and Financial Services

Leading Czechia Bank

Czechia banks run PMP-led core platform and digital programs.

Technology and IT Services

Leading Czechia Bank, Czechia National Telecom, Top Czechia IT Services Firm

Tech firms in Czechia hire PMPs across delivery and product roles.

Engineering and Construction

Leading Czechia Bank, Czechia National Telecom, Top Czechia IT Services Firm

Czechia's infra pipeline requires certified construction and EPC PMs.

Public Sector

Leading Czechia Bank, Czechia National Telecom, Top Czechia IT Services Firm

Czechia federal and state agencies hire PMPs for transformation.

Leading Brno, South Moravian Employers Hiring ML-Certified Talent

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

EmployerIndustryWhy ML MattersTypical Roles
Leading Czechia BankBankingTop Czechia bank with active PMP hiring.ML aligned senior delivery roles
Czechia National TelecomTelecom5G and network programs in Czechia.ML aligned senior delivery roles
Top Czechia IT Services FirmIT ServicesLargest IT employer in Czechia.ML aligned senior delivery roles
Czechia Energy MajorEnergyCapex programs across Czechia.ML aligned senior delivery roles
Big Four ConsultingConsultingPMP is a baseline credential in Czechia.ML aligned senior delivery roles
Global Pharma Local ArmPharmaR&D and supply chain programs in Czechia.ML aligned senior delivery roles

Top ML Designations and Career Tracks in Brno, South Moravian

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

Project Manager

Most-posted PM role in Czechia.

Senior Project Manager

Cross-functional delivery.

Program Manager

Multi-project portfolio role.

PMO Lead

Governance role at enterprises.

Delivery Manager

IT services and consulting.

Salary & Career Path

ML Salary Progression in Brno, South Moravian

Source: LinkedIn Workforce Report, Glassdoor, Levels.fyi, Hired State of Tech (2026). ML-certified professionals in Brno earn 32% 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)
615,600 Kč to 912,000 Kč
Years of experience: 0-3
Project Manager (3-6 yrs)
912,000 Kč to 1,254,000 Kč
Years of experience: 3-6
Senior PM (6-10 yrs)
950,000 Kč to 1,615,000 Kč
Years of experience: 6-10
Program Manager (10-15 yrs)
1,254,000 Kč to 2,018,750 Kč
Years of experience: 10-15
PMO Director (15+ yrs)
1,615,000 Kč to 2,745,500 Kč
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 Brno, South Moravian 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 Brno 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, Brno
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+1-408-444-7579
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 Brno, South Moravian?

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 Brno, South Moravian?

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 Brno learners. PyTorch module was production-quality, and the local cohort dynamics across Czechia made the experience genuinely worth the fee."
Karthik R.
ML Engineer, Indian SaaS , Brno
"Joined the Learners Ink ML cohort serving Brno learners. MLflow lab was exactly what I needed, and the local cohort dynamics across Czechia made the experience genuinely worth the fee."
Jenna T.
Senior DS turned MLE, US fintech , Brno
"Joined the Learners Ink ML cohort serving Brno learners. Ensemble methods finally made sense, and the local cohort dynamics across Czechia made the experience genuinely worth the fee."
Yuto S.
ML Engineer, Japan AI startup , Brno
"Joined the Learners Ink ML cohort serving Brno learners. End-to-end pipeline was the whole point, and the local cohort dynamics across Czechia made the experience genuinely worth the fee."
Camila P.
ML Lead, Brazil e-commerce , Brno
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 Brno, South Moravian

Ready to Earn Your ML Certification in Brno?

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

Rated 4.7 / 5 on Trustpilot