In-person ML exam preparation in Luang Prabang. 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: +1-408-444-7579
This in-person Machine Learning Certification Training in Luang Prabang 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 Luang Prabang 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.
In-person sessions at our Luang Prabang, Luang Prabang venue with live instructor.
Join from anywhere on Zoom or MS Teams, weekday and weekend cohorts.
Lifetime access, study at your own pace, includes practice tests.
Classroom cohorts in Luang Prabang, Luang Prabang. Small group sizes, named instructors, money-back guarantee.
| Start Date | Mode | Schedule | Fee (LAK) | Seats | Action |
|---|---|---|---|---|---|
Weekend BatchJuly 25-26 and August 1-2, 2026 (4-day weekend) | Classroom, Luang Prabang | 2 weekends (4 days), Sat-Sun, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Filling fast | |
Weekday BatchJuly 28-31, 2026 (4-day intensive) | Classroom, Luang Prabang | 4-day intensive, 9am to 5pm Luang Prabang 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, Luang Prabang | 2 weekends (4 days), Sat-Sun, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchAugust 25-28, 2026 (4-day intensive) | Classroom, Luang Prabang | 4-day intensive, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekend BatchSeptember 19-20 and September 26-27, 2026 (4-day weekend) | Classroom, Luang Prabang | 2 weekends (4 days), Sat-Sun, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchSeptember 22-25, 2026 (4-day intensive) | Classroom, Luang Prabang | 4-day intensive, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekend BatchOctober 24-25 and October 31 - November 1, 2026 (4-day weekend) | Classroom, Luang Prabang | 2 weekends (4 days), Sat-Sun, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchOctober 27-30, 2026 (4-day intensive) | Classroom, Luang Prabang | 4-day intensive, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchNovember 17-20, 2026 (4-day intensive) | Classroom, Luang Prabang | 4-day intensive, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekend BatchNovember 21-22 and November 28-29, 2026 (4-day weekend) | Classroom, Luang Prabang | 2 weekends (4 days), Sat-Sun, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekend BatchDecember 12-13 and December 19-20, 2026 (4-day weekend) | Classroom, Luang Prabang | 2 weekends (4 days), Sat-Sun, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open | |
Weekday BatchDecember 15-18, 2026 (4-day intensive) | Classroom, Luang Prabang | 4-day intensive, 9am to 5pm Luang Prabang time | $2,199$1,799Early Bird, save $400 | Open |
Learners Ink Machine Learning certificate plus aligned pathways to AWS ML Specialty, Microsoft DP-100 and Databricks ML credentials.
Build reproducible scikit-learn and PyTorch pipelines with MLflow tracking, FastAPI serving and Docker packaging.
Ship a real ML service end-to-end: dataset to API with monitoring, drift detection and stakeholder defence.
CNNs, RNNs, Transformers and transfer learning with PyTorch on real image, text and tabular tasks.
Practitioners from FAANG, GCC banks and Big 4 with active production ML and MLOps experience.
100-question simulated assessments with answers and explanations across classical ML, DL and MLOps.
Production-grade Machine Learning program covering regression, classification, ensembles and deep learning fundamentals with PyTorch and scikit-learn, taught by working ML engineers.
In Luang Prabang, Laos, 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.
Luang Prabang contributes a meaningful share of Laos'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 Luang Prabang earn an average of ₭ 44,200,000 to ₭ 91,800,000 per year, a median uplift of 35% over uncertified peers. Luang Prabang's tourism sector keeps demand for certified project managers steady, with Luang Prabang Tourism among the local employers running ML-led delivery programs.
Twelve outcome pillars mapped to the PMI® Examination Content Outline, with deep practice across People, Process and Business Environment.
Regression, classification, ensembles, clustering and dimensionality reduction with rigorous evaluation.
scikit-learn Pipelines, ColumnTransformer, MLflow tracking, model registry and versioning.
Neural networks, CNNs, RNNs, Transformers and transfer learning on real datasets.
Use LLM APIs and RAG patterns for feature ideation, data labelling and model evaluation.
FastAPI serving, Docker, CI/CD for ML, model monitoring, drift detection and retraining triggers.
Cross-validation strategies, calibration, fairness, uncertainty and explainability with SHAP and LIME.
GridSearch, RandomSearch, Bayesian optimisation with Optuna and automated ML basics.
Collaborative filtering, matrix factorisation, learning-to-rank and embedding-based retrieval.
PySpark MLlib, distributed training intro and feature stores.
Ship a real ML service end-to-end with monitoring, alerting and defence presentation.
Bias, fairness, privacy, explainability and governance for production ML.
Public GitHub portfolio, deployed demos and a polished case-study writeup.
Core Machine Learning Certification Training competencies aligned to the latest Learners Ink exam blueprint, ready to apply on day one.
In-person learning delivers focus, networking and instructor engagement you cannot replicate online. Here is what makes our classroom cohorts stand out.
Side-by-side coding and ML system design on whiteboards.
Build a network with ML engineers from leading employers.
50+ Jupyter and PyTorch labs with mentor code reviews.
A dedicated training venue removes home distractions for 50 intensive hours.
Centrally located with full amenities, printed materials and parking.
Identical 50-hour ML curriculum with the energy of in-room workshops.
Three quick calculators to model your salary uplift, course payback period, and long-term career projection. All figures are indicative, based on PMI Earning Power data and local salary benchmarks.
Verified demand across the leading sectors driving ML hiring in Luang Prabang, Luang Prabang, with the marquee employers in each industry.
Banque Pour Le Commerce Extérieur Lao, Big Four Consulting (Deloitte, PwC, EY, KPMG), UN Agencies and World Bank
Laos's hydropower and banking sector keeps certified project managers in steady demand for delivery and transformation programs.
Banque Pour Le Commerce Extérieur Lao, National Development Bank
Laos's banks and microfinance institutions hire certified PMs for digital and regulatory programs.
Regional Telecom Operator
Telecom operators and IT services firms in Laos require certified PMs for network and platform programs.
Banque Pour Le Commerce Extérieur Lao, Big Four Consulting (Deloitte, PwC, EY, KPMG), UN Agencies and World Bank
Laos's capital-projects pipeline keeps PMP demand steady across infrastructure and real estate.
Banque Pour Le Commerce Extérieur Lao, Big Four Consulting (Deloitte, PwC, EY, KPMG), UN Agencies and World Bank
Public-sector and donor-funded programs in Laos routinely staff certified PMs across ministries and agencies.
Verified hiring patterns from the largest employers in Luang Prabang, Luang Prabang. ML-certified candidates are actively preferred or required for these roles.
| Employer | Industry | Why ML Matters | Typical Roles |
|---|---|---|---|
| Banque Pour Le Commerce Extérieur Lao | Banking | Anchor employer in Laos with sustained PM hiring. | ML aligned senior delivery roles |
| Big Four Consulting (Deloitte, PwC, EY, KPMG) | Consulting | Big Four operate in market and require PMP for senior consultants. | ML aligned senior delivery roles |
| UN Agencies and World Bank | Donor and Development | Multilateral programs need certified PMs for grant-funded delivery. | ML aligned senior delivery roles |
| Regional Telecom Operator | Telecom | Network and digital programs need disciplined PMs. | ML aligned senior delivery roles |
| National Development Bank | Banking | Infrastructure financing arms hire certified PMs. | ML aligned senior delivery roles |
The most in-demand ML-tagged designations and the value each adds to your career.
Most-posted PM role in Laos.
Cross-functional delivery role at enterprise employers.
Multi-project portfolio leadership.
Governance and reporting roles at banks, telcos, and government.
World Bank, UN, EU, and bilateral donor delivery roles.
Source: LinkedIn Workforce Report, Glassdoor, Levels.fyi, Hired State of Tech (2026). ML-certified professionals in Luang Prabang earn 35% 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.
Two complete 180-question simulations modelled on the live PMI exam, with detailed answer keys, rationale for every option and instructor-led debriefs. Access is gated, share your details and we unlock both tests instantly.
Full simulation across classical ML, deep learning and MLOps with code-reading items, answer rationale and skill-gap map
Second full simulation with ML scenario stems, MLOps and Responsible AI items, target 75%+ before capstone defence
Pass guarantee: achieve 75% on both full-length practice tests and we back you with a written ML pass guarantee.
Download our complete library of free ML preparation resources, no email gate on the practice test, just instant access.
Classical ML, DL and MLOps mini test with instant scoring and answer rationale.
All major supervised and unsupervised algorithms with use cases and trade-offs.
End-to-end MLOps reference: training, registry, serving, monitoring and retraining.
Architectures, losses, optimisers and regularisation on a printable reference page.
City-by-city ML Engineer and Applied Scientist salary data from LinkedIn and Glassdoor.
Day-by-day editable planner with mini-project and capstone checkpoints.
Course outline, fee schedule, batch calendar and instructor profiles.
Most learners complete the full journey in 8 to 12 weeks. We support you end-to-end, from eligibility check to PMI® application narrative and sitting the exam.
Free 30-minute call to map your background and confirm ML readiness.
Receive Python and math refresher pack, environment setup and access to the LMS.
Live cohort across classical ML, deep learning, MLOps, applied GenAI and Responsible AI.
Complete 4 graded ML projects: tabular, NLP, computer vision and time series.
Ship an end-to-end ML service with FastAPI, Docker, MLflow and monitoring.
Pass the internal proficiency assessment plus capstone defence to receive your Learners Ink ML certificate.
The Learners Ink classroom ML program in Luang Prabang 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.
| Course Name | Machine Learning Certification Training (Classroom) |
| Duration | 50 Contact Hours |
| Format | In-Person Classroom, Luang Prabang |
| 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 |
Review the eligibility pathway that matches your background. The Learners Ink Machine Learning Certification Training programme is designed to satisfy the Learners Ink prerequisites end-to-end.
Ideal for professionals who lead, manage or coordinate projects and are ready to earn a globally recognised credential.
End-to-end production-grade ML from classical to deep learning to MLOps
Level up from notebooks into deployed, monitored ML systems
Pivot into ML Engineering and Applied Science roles
Add modelling, training and deployment depth to data platform skills
Build production ML services with FastAPI, Docker and CI/CD for ML
Add MLOps, deployment and Responsible AI to research depth
Lead ML-powered products with hands-on system design literacy
Design ML platforms, feature stores and monitoring strategies
Specialise into MLOps and ML platform engineering
Modernise quant pipelines with production ML and DL
Healthcare, retail, banking and telecoms SMEs leading ML initiatives
Translate research skills into industry ML Engineer roles
Structured ML program with capstone and portfolio output
Lead client ML engagements with credible production experience
Specialise into ML platform engineering on AWS, Azure or GCP
6 domains, 28 modules covering every objective on the current Machine Learning Certification Training blueprint from Learners Ink.
Rigorous classical ML with scikit-learn pipelines and evaluation.
Classical ML through deployment: DL, MLOps, applied GenAI and Responsible AI.
Instructors from FAANG, GCC banks, Big 4 with active production ML and MLOps experience.
Also officially accredited for PRINCE2, ITIL, PMI and Scrum Alliance credentials.
Across Fortune 500 companies and government agencies since 2019.
Every class is live, never pre-recorded, with real-time Q&A and pair coding.
End-to-end FastAPI + Docker + monitoring deployment, not toy notebooks.
Weekday, weekend or accelerated bootcamp, live online or in-person.
LLM APIs, RAG, embeddings and prompt engineering for ML teams.
MLflow, CI/CD for ML, monitoring, drift, champion-challenger patterns.
Fairness, SHAP/LIME, model cards and data sheets in every capstone.
Real reviews from ML alumni across the USA, UK, UAE, Australia and India.
If our training does not meet your expectations, a full refund is available.
Re-attend any future cohort, classroom or live online, free of cost for revision.
Mock interviews on coding, math and ML system design with senior practitioners.
Resume polish, LinkedIn makeover, mock interviews and curated ML job board.
Tailored in-house ML programs for teams of 5+ with group pricing.
Aligned to AWS ML Specialty, Microsoft DP-100 and Databricks ML credentials.
Receive your Learners Ink ML certificate, capstone defence credit and digital badge.
A transparent, feature-by-feature comparison so you can make an informed choice.
| Feature | Learners Ink | Typical Other Providers |
|---|---|---|
| Curriculum Depth | 50 hours: classical ML, DL, MLOps, applied GenAI and Responsible AI | Often 25 to 35 hours, classical ML only |
| Trainer Quality | Senior ML engineers from FAANG, GCC banks, Big 4 | Recorded video instructors with limited production ML experience |
| Live vs Pre-recorded | 100% live instructor-led, real-time code and design reviews | Often pre-recorded with limited mentor access |
| Deployment Capstone | Real FastAPI + Docker + monitoring deployment with defence | Toy notebooks without deployment |
| MLOps Coverage | MLflow, CI/CD for ML, monitoring, drift, champion-challenger | Skipped or surface-level |
| GenAI Coverage | Applied GenAI, RAG and embeddings for ML teams | Rarely included |
| Responsible AI | Fairness, SHAP/LIME, model cards, data sheets | Skipped |
| Career Services | Resume, LinkedIn, ML system design mocks, curated job board | Limited or upsell |
Side-by-side comparison of our three ML delivery formats so you can pick what fits your schedule, learning style and budget.
| Dimension | Classroom (In-Person) | Live Online (Virtual) | Hybrid (Blended) |
|---|---|---|---|
| Delivery Mode | Physical classroom, in-room instructor | Live Zoom or Microsoft Teams, real-time instructor | Mix of classroom days plus live online sessions |
| Learners Ink Accredited | Yes, Learners Ink-aligned curriculum | Yes, Learners Ink-aligned curriculum | Yes, Learners Ink-aligned curriculum |
| Curriculum Hours | Full Machine Learning Certification Training blueprint coverage | Full Machine Learning Certification Training blueprint coverage | Full Machine Learning Certification Training blueprint coverage |
| Interaction Level | Highest, in-room peer and instructor | High, breakouts, polls, live Q&A | Very high, classroom days plus virtual reinforcement |
| Schedule Flexibility | Fixed venue and dates | Most flexible, weekday or weekend cohorts | Moderate, anchored to classroom days |
| Travel and Commute | Daily commute to venue | Zero commute, learn from anywhere | Partial commute on classroom days only |
| Session Recordings | Not recorded | Recorded, 90 days portal access | Online sessions recorded, classroom days are live only |
| Networking | Strongest in-room networking | Global cohort networking via virtual breakouts | Best of both, in-person plus global cohort |
| Typical Fee Range | Premium, includes venue and refreshments | 20 to 25 percent lower than classroom | Mid-range between classroom and live online |
| Best Fit | Learners who thrive on in-room energy and local networking | Working professionals, frequent travellers, global learners | Learners who want classroom rigour with online convenience |
Note: Hybrid cohorts are available on request for corporate batches of 8 or more learners. Speak to a counsellor to design a blended schedule.
PhD ML, ex-FAANG Staff ML Engineer, Kaggle Grandmaster
Ravi has 14+ years of production ML at FAANG scale, with deep expertise in ranking, recommender systems and large-scale training infrastructure.
MSc AI, AWS ML Specialty, MLOps practitioner
Hala leads MLOps engineering at a GCC tier-1 bank. She specialises in regulated-industry ML, fairness audits and real-time inference platforms.
MS CS, Microsoft DP-100, Databricks Certified
Marcus has 11+ years of applied ML across retail and telecoms, with hands-on Transformer fine-tuning and production LLM deployment experience.
"Joined the Learners Ink ML cohort serving Luang Prabang learners. PyTorch module was production-quality, and the local cohort dynamics across Laos made the experience genuinely worth the fee."
"Joined the Learners Ink ML cohort serving Luang Prabang learners. MLflow lab was exactly what I needed, and the local cohort dynamics across Laos made the experience genuinely worth the fee."
"Joined the Learners Ink ML cohort serving Luang Prabang learners. Ensemble methods finally made sense, and the local cohort dynamics across Laos made the experience genuinely worth the fee."
"Joined the Learners Ink ML cohort serving Luang Prabang learners. End-to-end pipeline was the whole point, and the local cohort dynamics across Laos made the experience genuinely worth the fee."
ML is a career inflection point. Our learners get end-to-end support, from resume positioning and LinkedIn® optimisation to mock interviews and a curated ML job board.
ML Engineer-aligned CV review optimised for ATS keywords and recruiter scans.
Reposition for ML Engineer, Applied Scientist and Data Scientist recruiter searches.
ML system design, coding, math and case interviews with senior practitioners.
Hand-picked ML and Applied Scientist roles across product, fintech, healthcare and consulting.
Join Learners Ink ML alumni at FAANG, GCC banks, Big 4 and AI-native startups.
GitHub repo polishing, deployed demo reviews and Kaggle submission strategy.
Broader Data Science foundation including statistics, EDA and storytelling.
Learn moreDeep dive into LLM engineering, RAG and applied GenAI.
Learn morePair ML with cloud architecture for ML platform roles.
Learn moreAdd deeper CI/CD and infrastructure skills to your MLOps toolkit.
Learn moreJoin the next in-person cohort in Luang Prabang. Limited seats per batch for personalised attention.
