6840+ Job Posting Available

-Recruiters prefer to hire Inventateq Students - Join Inventateq Now

6840+ Job Posting Available

-Recruiters prefer to hire Inventateq Students - Join Inventateq Now

Placements in Machine Learning: 1,342

Machine Learning Course in Chicago with Certification

Name: Machine learning training courses chicago
Brand: Inventateq
Rating: 4.7 (1432 reviews)

Join machine learning training in Chicago and learn how to build models with Python, Scikit-learn, Pandas, NumPy, and Jupyter Notebook. You will also cover TensorFlow/Keras basics, Flask deployment, and the core ML workflow used in real projects.

4.7/5 from 1,432 reviews

Learn machine learning from the ground up with supervised, unsupervised, and model evaluation topics.

Work on real projects like house price prediction, spam email detection, customer segmentation, and disease prediction.

Practice with Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow/Keras, and Flask.

Get resume building and interview preparation built into the course.

Train for roles such as Machine Learning Engineer, Data Scientist, and AI Developer in Chicago.

Job Interview

Guarantee Program

14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

Upskilling Success

24,999₹

In 60 Days + Placement

Course Fee:₹24,999

Duration:60 Days

Mode:Classroom & Online

Free Session

1 Hour Training Session

Get Job with our Guaranteed Placement Support Program

WhatsApp Us!

Placement Record

How We Have Placed 10,000+ Students ?

5.2 LPA

Pramod

5.2 LPA • ServiceNow Developer

5.7 LPA

Vihaana

5.7 LPA • Android Developer

6 LPA

Navya

6 LPA • Android Developer

7 LPA

Karthik

7 LPA • Android Developer

9 LPA

Sanjeev Sukla

9 LPA • AI Engineer

5 LPA

Sukumar Roy

5 LPA • Data Scientist

8 LPA

Jagjith Rathode

8 LPA • Machine Learning Engineer

4 LPA

Lipika Shah

4 LPA • AI Engineer

4 LPA

Kutumb Sharma

4 LPA • Associate Product Manager

3.45 LPA

Gheeta Kumari

3.45 LPA • Network Engineer

3.75 LPA

Venkatesh Iyengar

3.75 LPA • NOC Support Engineer

4.4 LPA

Lakshmi Menonon

4.4 LPA • Network Administrator

9 LPA

Jagan Roy

9 LPA • AI Engineer

12 LPA

Sharmila

12 LPA • Data Engineer

16 LPA

Rahul Rai

16 LPA • Data Engineer

5.1 LPA

Pawan Singh

5.1 LPA • RPA Developer

7.83 LPA

Narayan

7.83 LPA • RPA Business Analyst

5.55 LPA

Sima

5.55 LPA • Data Scientist

40 LPA

Joseph

40 LPA • AWS Devops Engineer

25 LPA

Sameer

25 LPA • Salesforce Developer

30 LPA

Savitha Iyer

30 LPA • Project Administrator

20 LPA

Jayanthi

20 LPA • Digital Marketing Specialist

12 LPA

Sangeetha

12 LPA • Social Media Manager

8 LPA

Kishore

8 LPA • Digital Marketing Analyst

8.5 LPA

Rekha

8.5 LPA • Performance Marketer

4.3 LPA

Jestina

4.3 LPA • Digital marketing specialist

8 LPA

Sasidharan

8 LPA • Performance Marketer

4.3 LPA

Vanaya

4.3 LPA • AI Engineer

7.5 LPA

Jyoti

7.5 LPA • Data Engineer

4.5 LPA

Kaushik

4.5 LPA • Salesforce Developer

8.45 LPA

Rohini

8.45 LPA • Computer Vision Engineer

5 LPA

Shravya

5 LPA • SAP FICO Analyst

5.8 LPA

Sandhya

5.8 LPA • SAP FICO Analyst

4.2 LPA

Abhiram

4.2 LPA • Servicenow Developer

4.8 LPA

Krishna

4.8 LPA • TOSCA Automation Engineer

8 LPA

Aqib

8 LPA • Data Engineer

8 LPA

Rohan

8 LPA • Tosca Test Analyst

10 LPA

Muskan

10 LPA • Machine Learning Engineer

4.4 LPA

Ritika

4.4 LPA • Tosca Administrator

5.7 LPA

Aliya

5.7 LPA • ML Engineer

6 LPA

Amith

6 LPA • Devops Engineer

7.15 LPA

Asha

7.15 LPA • DevSecOps Engineer

6.3 LPA

Anamika

6.3 LPA • AI Engineer

7 LPA

Sai Krishna

7 LPA • MLOps Engineer

5 LPA

Prachi

5 LPA • HR Executive

7 LPA

Rafiya

7 LPA • Data Scientist

10 LPA

Rudra Lakshmi

10 LPA • Brand Marketing Specialist

8.2 LPA

Andro

8.2 LPA • AI Engineer

Placement Assistance for Machine Learning Professionals

Learning machine learning is only part of the goal. You also need support that helps you present your skills clearly, answer interview questions well, and move toward roles in data, ML, and AI in Chicago.

Our Signature Career Support:

Resume support focused on ML projects, Python work, and your course outcomes.
Mock interviews built around machine learning, Python, statistics, and model evaluation.
Portfolio guidance for projects like prediction models and customer segmentation.
Career mentoring for roles such as Machine Learning Trainee, Data Scientist, and ML Engineer.
Interview preparation for both technical questions and project discussion.

Machine Learning Salary Insights in Chicago

Chicago companies hire for machine learning across analytics, product, finance, healthcare, and tech teams. Pay usually rises with stronger Python, model-building, deployment, and project experience.

Machine Learning Average Salary by Experience

Machine Learning Salary Insights in Chicago

Chicago companies hire for machine learning across analytics, product, finance, healthcare, and tech teams. Pay usually rises with stronger Python, model-building, deployment, and project experience.

Machine Learning Average Salary by Experience

Why Students Choose Our Machine Learning Course in Chicago?

4.7/5 Google Rating | 1,432+ Verified Reviews

4.7 / 5

By Google Reviews

4.7 / 5

By Justdial

4.7 / 5

By Sulekha Courses

4.7 / 5

By Course Suggest

Success Result: Our students are competing at global levels. Watch their placement journey here.

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

0.0

GOOGLE RATING

0k+

REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq Machine Learning Training Institute in Chicago

Inventateq keeps the training practical from the first module. You start with ML basics, Python libraries, statistics, preprocessing, supervised and unsupervised learning, then move into evaluation, feature engineering, deployment basics, and real projects.

We stand apart through our commitment to:

Learn ML concepts through Python-based practice, not theory alone.
Build hands-on projects using Scikit-learn, Pandas, NumPy, and Jupyter Notebook.
Understand model evaluation, feature engineering, and basic deployment steps.
Get mentor support while working through assignments and project tasks.
Choose training that fits classroom learning in Chicago or live online access.

Live Online

Remote Learning

AI Online Live Classes

The live online machine learning batch gives Chicago learners the same structured teaching with remote access. You can attend sessions from home, follow the trainer step by step, and complete the same Python and ML exercises used in class.

Live interactive classes with practical coding demonstrations

Recorded sessions available for revision and practice

Weekly assignments with mentor feedback and guidance

Real projects covering Generative AI, LLMs, and Agentic AI

Online career guidance and interview preparation support

Machine Learning Training Program

Beginners in data and AI

Good for learners who want a clear start in machine learning with Python and model basics.

Python learners

Useful for people who know basic Python and want to apply it to ML workflows.

Data analysts

Fits analysts who want to move into predictive modeling and model evaluation.

Engineering graduates

Works well for graduates aiming for ML Engineer, Data Scientist, or AI Developer roles.

Career switchers

Helps non-ML professionals build practical project skills for entry into the field.

Quick Highlights of Inventateq Machine Learning Course

Course Duration

Mode: Offline classroom in Chicago and live online access
Format: Instructor-led training with hands-on practice
Projects: Includes guided real-time ML projects
Support: Resume and interview preparation included

No advanced background is required to start this course.

Machine Learning Course Curriculum

1. Module 1: ML fundamentals and workflow (Week 1)

•Understand what machine learning is and where it is used.
•Compare supervised, unsupervised, and reinforcement learning.
•Review real-world applications and the difference between AI, ML, and data science.
•Follow the overall ML workflow from data to model output.

2. Module 2: Python for machine learning (Week 2)

•Revise Python basics for ML work.
•Use NumPy and Pandas for data handling.
•Clean and organize datasets before training models.
•Create visualizations with Matplotlib and Seaborn.

3. Module 3: Statistics and math for ML (Week 3)

•Work with mean, median, and mode.
•Understand probability basics and common distributions.
•Study correlation and covariance for data relationships.
•Review linear algebra basics used in ML concepts.

4. Module 4: Data preprocessing (Week 4)

•Handle missing values in datasets.
•Encode categorical variables for model use.
•Apply feature scaling and feature selection.
•Split data into train and test sets.

5. Module 5: Supervised learning models (Week 5)

•Train linear regression and logistic regression models.
•Study decision trees and random forest.
•Understand support vector machines.
•Learn where each supervised model fits.

6. Module 6: Unsupervised learning (Week 6)

•Apply K-Means clustering.
•Review hierarchical clustering methods.
•Understand principal component analysis for dimensionality reduction.
•Cover association rules and anomaly detection basics.

7. Module 7: Model evaluation (Week 7)

•Measure accuracy, precision, recall, and F1 score.
•Read and use a confusion matrix.
•Use cross-validation to test model stability.
•Study bias versus variance and overfitting versus underfitting.

8. Module 8: Feature engineering (Week 8)

•Create and transform features for better model performance.
•Handle imbalanced data.
•Detect and manage outliers.
•Use data optimization techniques for stronger inputs.

9. Module 9: Deep learning overview (Week 9)

•Learn neural network basics.
•Understand activation functions and backpropagation.
•Get an introduction to TensorFlow and Keras.
•Build a basic neural network model conceptually.

10. Module 10: ML deployment basics (Week 10)

W10

•Save and load trained models.
•Get introduced to Flask and FastAPI.
•Understand APIs for ML models.
•Review cloud deployment and monitoring basics.

11. Module 11: Real-time projects and career prep (Week 11)

W11

•Work on house price prediction and spam email detection.
•Build customer segmentation and disease prediction projects.
•Review practical model building from problem to result.
•Complete resume building and interview preparation.

Rated 4.9/5

Why Inventateq for Machine Learning Training in Chicago?

Inventateq focuses on practical machine learning learning that is easy to apply in interviews and projects. The training follows a clear order: Python tools, statistics, preprocessing, models, evaluation, deployment basics, and final projects.

Why Students Trust Inventateq Chicago

Trainers explain each ML concept with clear examples and hands-on practice.
The syllabus follows the actual tools used in machine learning work.
Projects are part of the course, not left for self-study later.
Students get support with resumes, interviews, and project explanation.
The learning environment is structured for steady progress and doubt clearing.

Build Practical Machine Learning Skills for Real Career Growth

By the end of this course, learners can work through the full ML process with confidence. They will know how to prepare data, train models, evaluate results, and explain their work in a job interview.

Work with real datasets

Practice cleaning, organizing, and visualizing data before model training. This makes the course useful for anyone entering ML or data roles in Chicago.

Build predictive models

Create models for regression, classification, clustering, and anomaly detection. You will see how the same tools apply to different business problems.

Evaluate model quality

Learn to read accuracy, precision, recall, F1 score, confusion matrix, and cross-validation results. This helps you compare models in a practical way.

Prepare deployable basics

Understand how to save models, connect them to APIs, and review Flask-based deployment basics. That gives you a clearer path from model to application.

Complete guided projects

Finish house price prediction, spam detection, customer segmentation, and disease prediction projects. These projects strengthen your resume and discussion points.

Present your skills for jobs

Use resume and interview preparation to explain your Python, ML, and project work confidently. This supports roles such as ML Engineer, Data Scientist, and AI Developer.

Certification for Machine Learning Training

This certification shows that you have completed structured training in machine learning, Python-based model building, preprocessing, evaluation, and basic deployment. It helps employers see that you have practical coursework and project exposure, not only theory.

Python for machine learning

Earn this certificate upon successful completion of our training program.

Scikit-learn model building

Validate your skills with recognized industry credentials.

Pandas, NumPy, and Jupyter Notebook

Earn this certificate upon successful completion of our training program.

TensorFlow/Keras and Flask basics

Validate your skills with recognized industry credentials.

Detailed Insights: Machine Learning Training in Chicago

Students Frequently Asked Questions

Is this machine learning course suitable for beginners?

Yes, the course starts with machine learning basics and Python for ML before moving into model building. If you are new to the field, the structure helps you learn step by step. You do not need prior machine learning experience to begin.

What projects will I build in this course?

You will work on house price prediction, spam email detection, customer segmentation, and disease prediction. These projects cover regression, classification, clustering, and practical problem solving. They also give you good material for interviews and your portfolio.

Do you provide placement assistance after the course?

Yes, placement support is part of the course flow. You get resume help, mock interviews, portfolio guidance, and career mentoring. The support is designed to help you prepare for roles such as Machine Learning Engineer and Data Scientist.

Can non-technical learners join this machine learning training in Chicago?

Yes, many learners from non-technical backgrounds can start with this course if they are ready to follow the Python and data concepts carefully. The teaching begins with fundamentals and builds gradually. You will need practice, but the course is structured to support that transition.

Is live online training available for Chicago learners?

Yes, you can attend the course live online from Chicago. The online format covers the same syllabus, tools, and project work as classroom training. It is useful if you want flexible access without losing instructor interaction.

Which tools are covered in the machine learning course?

The course covers Python, Jupyter Notebook, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, TensorFlow/Keras basics, and Flask for deployment basics. These tools are used throughout the syllabus for data handling, model building, visualization, and project work. They are the core tools you need to practice ML in a practical way.

Explore more

Other Training Locations

Browse the same course in nearby cities and training hubs.

Join Inventateq Career Guidance Program.

Launch your fastest career with Inventateq! Our program equips you with in-demand skills to unlock insights from big data and land your dream job. Join us and become a career hero!