Machine Learning with MATLAB Corporate Training
Machine learning in the MATLAB you know.
This instructor-led program teaches machine learning with MATLAB: the Statistics and Machine Learning Toolbox, neural networks, and model deployment, practiced in guided labs on realistic datasets.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a MATLAB ML models team
The Edstellar ARTIFICIAL INTELLIGENCE Capability Model
Assess
We baseline your team's artificial intelligence skills before training begins.
Learn
Instructor-led sessions build Machine Learning with MATLAB knowledge step by step.
Practice
Guided hands-on labs lock in each technique with coaching.
Apply
Teams apply Machine Learning with MATLAB to real work before the program ends.
Measure
Skill checks show what improved and what comes next.
Need more than one program?Get a group quote
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Program Overview: What is Machine Learning with MATLAB?
MATLAB teams can do machine learning without leaving their environment. This program teaches the MATLAB ML workflow: preparing data, training classifiers and regressors, tuning, and deploying.
Led by MATLAB ML practitioners, the program moves from data preparation to classification, regression, and neural networks. Guided labs run in every module on realistic datasets.
The program closes with a capstone full build: a MATLAB machine learning project with trained models, evaluation, and app deployment notes, reviewed by the instructor.
Teams leave with ML they can ship: trained models, honest evaluations, and deployment paths that fit MATLAB shops.
What's Included in this Workshop for Your Enterprise Teams
- 1
Instructor-Led Delivery
Live ML MATLAB sessions with certified trainers
- 2
Hands-On Labs
Guided labs built on real-world use cases
- 3
Tailored Curriculum
Agenda tuned to your stack and team goals
- 4
Assessments & Materials
Pre and post checks plus reference workbooks
- 5
Post-Training Support
Follow-up help as teams apply the skills
- Instructor-led delivery: onsite, live virtual, or hybrid
- Tailored agenda: topics matched to your team's stack and goals
- Guided hands-on labs built around real-world use cases
- Cohort sizes that suit small teams and large groups
- Materials, workbooks, and post-program reference guides
- Post-training support and assessment on request
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Machine Learning with MATLAB Course Topics and Program Outline
6 modules, 20 instructor-led hours, and 3 guided labs that move Machine Learning with MATLAB from theory to dependable team practice.
Built by Edstellar with engineers who build machine learning models in MATLAB
Built by engineers who build machine learning models in MATLAB, shaped around your stack and use cases.
We check where your team stands on ML MATLAB today, so the program targets real gaps instead of repeating what they know.
Instructor-led sessions teach artificial intelligence concepts in order, with demos and Q&A in every module.
guided labs give your team coached repetition on realistic artificial intelligence scenarios with instructor review.
The capstone full build proves the learning: an ML project, built, reviewed, and ready to take back to work.
From baseline to job-ready in 20 hours.
Delivered as
Cohorts run hybrid, onsite, or live virtual formats, scheduled around your calendar in half-day or full-day blocks.
Prepare a dataset for modeling.
learna)Data import
b)Tables
c)Exploration
d)Preprocessing
Train and compare classifiers.
learna)Classification Learner
b)Decision trees
c)SVMs
d)Ensembles
Build regression models and evaluate.
practicea)Regression Learner
b)Linear models
c)Tree regression
d)Evaluation
Train a neural network in MATLAB.
practicea)Network designer
b)Training options
c)CNN basics
d)Transfer learning
Tune and export a trained model.
practicea)Hyperparameter tuning
b)Model export
c)MATLAB Compiler notes
d)Production handoff
Present your project and defend the models.
applya)Project demo
b)Model walkthrough
c)Evaluation review
d)Deployment notes
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Your team will prepare data in MATLAB, train classifiers and regressors, build neural networks, tune models, and deploy them.
Data prep
Prepare data with MATLAB tools.
Classification
Train classifiers with the Learner.
Regression
Build and evaluate regressors.
Neural nets
Design networks visually.
Tuning
Optimize hyperparameters.
Evaluation
Judge models honestly.
Deployment
Export models to production.
Teams that Benefit from this Machine Learning with MATLAB Group Training
Built for engineers and analysts working in MATLAB. Content adapts to each cohort's domain, so every group models data it understands.
Engineers adding ML
Engineers get ML inside MATLAB: no new stack required.
Workflow friction
- MATLAB-only habits
- No ML skills
- Analysis without prediction
How the program helps
- Stay in MATLAB
- Add ML skills
- Predict, not just analyze
Practice use cases
- engineering
- MATLAB
- ML
Researchers modeling data
Researchers accelerate modeling with MATLAB's ML tooling.
Workflow friction
- Manual analysis
- Slow modeling loops
- Unreproducible work
How the program helps
- Automate modeling
- Iterate faster
- Reproduce everything
Practice use cases
- R&D
- modeling
- research
Analysts in MATLAB shops
Analysts move from statistics to machine learning within MATLAB.
Workflow friction
- Stats-only toolkit
- No predictive models
- Tool sprawl
How the program helps
- Extend to ML
- Build predictive models
- Consolidate tooling
Practice use cases
- data
- analytics
- predictive
Groups run with employees at similar levels so exercises match daily work. Mixed cohorts are welcome when goals align.
Prerequisites: MATLAB familiarity is required. No prior machine learning is needed.
Machine Learning with MATLAB: skill progression
A realistic path from foundation to advanced artificial intelligence capability, mapped to the modules above. Your team can see exactly which skills each module builds.
Bands show where each skill starts and where this program takes it.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Instructor-led delivery in hybrid, onsite, or live virtual formats, with hands-on labs in every session.
Hybrid Training
Split your cohort between the training room and a live virtual feed. Every session is instructor-led, with hands-on labs in each module and the same curriculum for both groups.
- Live instruction in every session
- Onsite workshops for guided labs
- Virtual sessions for distributed teams
- One cohort or split batches
Onsite Training
Your trainer comes to your premises. Sessions stay practical: hands-on labs run in the room with the instructor beside each team.
- Trainer at your premises
- Guided guided labs with the instructor beside each team
- Team collaboration in one room
- Agenda tuned on the spot
Live Virtual Training
Join from anywhere in live instructor-led sessions. Labs run in shared environments so the trainer can see every screen and coach in real time.
- Join from anywhere, live
- Shared lab environments with trainer coaching
- Sessions recorded for review
- Same curriculum, same hours
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Recent releases; toolbox availability is noted.
Statistics and Machine Learning Toolbox is the core; Deep Learning Toolbox for neural nets.
Python ML is compared where useful; MATLAB is the focus.
No. ML concepts are taught within the MATLAB workflow.
A MATLAB ML project with trained models, evaluation, and deployment notes.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
ML with MATLAB builds on two foundations: MATLAB and Simulink skills and core ML concepts. Your team then builds and deploys models with MATLAB toolboxes, and the final step moves on to neural networks and deep learning.
Why Choose Edstellar as Your Machine Learning with MATLAB Corporate Training Provider
Edstellar delivers Machine Learning with MATLAB as instructor-led corporate training for enterprise teams: practitioner instructors, hands-on labs, and a curriculum tailored to your goals.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
ML MATLAB training scoped to your stack and team level, tuned module by module after a discovery call.
Proven Methodology
A Learn-Practice-Apply arc refined across thousands of corporate teams: concepts first, then guided labs until each skill holds.
Practice-Based Learning
Most hours go to doing: guided labs on realistic tasks your team faces on the job, with instructor review after each one.
Expert Trainers
Instructors who work in artificial intelligence teach from real delivery experience, matched to your cohort and goals.
Global Scale
Same ML MATLAB program for every cohort, delivered across time zones by 5,000+ certified trainers.
Measurable Outcomes
Pre- and post-program assessments mapped to your curriculum, so you can see exactly what each cohort learned and what comes next.
Develop MATLAB Machine Learning Models Through Comparative Training and Evaluation
Edstellar develops machine learning capability within MATLAB through data preparation and model comparison. Participants train classifiers, regression models, and neural networks before tuning and exporting a selected model. The final project explains the modelling choices, with feedback on prepared data, evaluation quality, performance differences, and the suitability of the exported result.
- Step 01
Consult
We confirm MATLAB familiarity and explore engineering or research data needs, modelling questions, and evaluation confidence to identify the cohort's introductory machine-learning priorities.
- Step 02
Plan
We establish MATLAB data preparation before classification and regression, then connect neural-network practice, tuning, and model export in the final ML project.
- Step 03
Align
We align MATLAB modelling expertise with engineering, research, and data teams, confirming appropriate datasets and learning tools while supporting participants new to machine learning.
- Step 04
Customize
We adapt sample datasets to familiar analytical questions, giving participants a clear basis for comparing classifier, regression, and neural-network approaches without assuming one method will prevail.
- Step 05
Execute
Participants prepare data, train competing models, and tune and export a selected candidate, receiving feedback on evaluation methods, performance interpretation, and the rationale for model choices.
- Step 06
Evaluate
We assess the project for suitable data preparation, defensible model comparisons, justified tuning, and an exported model whose behavior and limitations are clearly explained.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Machine Learning with MATLAB Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Machine Learning with MATLAB Training for Your Team
Tell us your team size, timelines, and goals for Machine Learning with MATLAB training. An advisor will shape the agenda, confirm availability, and share a detailed proposal.