SIGN UP NOW! 18 Jan'26 - AI+ Sales™ Certification in a Day. Introductory Price of USD 399 only!
Login

Certified Machine Learning Master (CMLM)

Machine Learning Certification is based on Artificial Intelligence and Data Science Principles.

Certified Machine Learning Master (CMLM)
Price: USD $190.00

Trusted By 75000+ Professionals

Logo 1 Logo 2 Logo 3 Logo 4 Logo 5 Logo 6 Logo 7 Logo 8 Logo 9 Logo 1 Logo 2 Logo 3 Logo 4 Logo 5 Logo 6 Logo 7 Logo 8 Logo 9

About Certified Machine Learning Master (CMLM)

Objectives Of Machine Learning Certification

Validate skills in developing and deploying machine learning models.
Master core ML algorithms for real-world applications.
Solve industry challenges using machine learning global certification techniques.
Streamline workflows with expert-crafted templates and resources.
Enhance model performance through data preprocessing and feature engineering.
Fine-tune and evaluate models for optimal results.
Implement end-to-end machine learning pipelines.
Master both supervised and unsupervised learning methods.
Understand AI integration with machine learning models.
Prepare for advanced roles in data science and AI.

Benefits Of Machine Learning Certifications

Use expert-designed templates to accelerate machine learning projects.
Boost your resume with a globally recognized machine learning certification exam.
Unlock job opportunities in data science, AI, and tech.
Solve real-world problems with machine learning solutions.
Stand out with a certification in machine learning.
Build employer confidence by demonstrating model deployment skills.
Connect theory with practical machine learning applications.
Gain access to the Generative AI Interview Practice Platform.

Exam Syllabus Of Machine Learning Certification

50+ Hours of Learning
2 Practice Exams
Capstone Project
AI interview Practice Platform

Exam Syllabus Of Certified Machine Learning Master (CMLM)

  • Overview of Python
  • History of Python
  • Python Basics: variables, identifiers, indentation
  • Python data structures (dictionary, list, string, sets, and tuples)
  • Statements in Python (conditional, iterative, jump)
  • OOPS concepts
  • Exception Handling
  • Regular Expression

  • Numpy, Pandas and Matplotlib
  • Pandas Module
  • Series
  • Data Frames
  • Numpy Module
  • Numpy arrays
  • Numpy operations
  • Matplotlib module
  • Plotting information
  • Bar Charts and Histogram
  • Box and Whisker Plots
  • Heatmap
  • Scatter Plots

  • NumPy: Arrays
  • Data Operations (Selection, Append, Concat, Joins)
  • Univariate Analysis
  • Multivariate Analysis
  • Handling Missing Values
  • Handling Outliers

  • What is Machine Learning?
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Basic Probability required for Machine Learning
  • Linear Algebra required for Machine Learning

  • Simple Linear Regression
  • Multiple Linear Regression
  • Assumptions of Linear Regression
  • Polynomial Regression
  • R2 and RMSE

  • Logistic Regression
  • Decision Trees
  • Random Forests
  • SVM
  • Naïve Bayes
  • Confusion Matrix

  • PCA
  • Factor Analysis
  • LDA

  • Types of Clustering
  • K-means Clustering
  • Agglomerative Clustering

  • AUC / ROC
  • Silhouette coefficient
  • Cross-Validation
  • Bagging
  • Boosting
  • Bias v/s Variance

  • Need for recommendation engines
  • Types of Recommendation Engines
  • Content-Based
  • Collaborative Filtering

  • What are Association Rules?
  • Association Rule Parameters
  • Apriori Algorithm
  • Market Basket Analysis

  • What is Time Series Analysis?
  • Importance of TSA
  • Understanding Time Series Data
  • ARIMA analysis

  • Understanding Reinforcement Learning
  • Algorithms associated with RL
  • Q-Learning Model
  • Introduction to Artificial Intelligence

  • History of Neural Network
  • Perceptron
  • Forward Propagation
  • Introduction to Deep Learning

  • One-on-One Mentor Connect with Subject Matter Expert
  • A dedicated 1-hour session with an experienced AI/ML practitioner
  • Ask specific questions about assignments, tools, or ML algorithms
  • Get feedback on your project work and coding practices
  • Clarify concepts or explore certification and career planning in data science

  • Hands-on Projects Using Real-World Datasets
  • Tools Covered: Jupyter Notebook, Scikit-learn, TensorFlow (Intro), Git
  • Sample Interview Questions and Capstone Guidance
  • Certification Support: Python for Data Science, ML Certifications (Google, IBM, etc.)
  • Real-World Case Studies in Retail, Finance, and Healthcare
  • Model Deployment Concepts (Intro to Flask/Streamlite for ML Apps)
Self-Paced Online
Expert Led Videos - 10 hrs of learning
Get 1 Certification - Just $100
Save up to 50% with our limited-time offer!
3 SME Connect (1-on-1)
Access to GSDC AI Studio
Weekly Group SME Connect Session
Certification Exam + 1 Free Retake & Practice
Capstone Project + AI Interview & Tools
GSDC Membership worth $109 free
Course Price: USD $190.00
Purchase Self-Paced Course

Download Brochure

Looking to enroll your employees into this program?

Download Brochure
Moneyback Guarantee

30-Day Money-Back Guarantee

Target Audience

Target Audiences For Machine Learning Certification

IT Professionals
Software Developers
Process Managers
Application Developers
Project Managers
Data Analysis Professionals
Web Developers

Pre-Requisites For Machine Learning Certification

While no prior machine learning certificates are mandatory, basic programming and math knowledge are recommended to help you grasp the concepts more effectively. However, the certification exam is accessible to anyone eager to develop and validate their skills in machine learning.

Exam Details Of Certified Machine Learning Master (CMLM)

Exam Questions
40
Exam Format
Multiple choice
Language
English
Passing Score
65%
Duration
90 min
Open Book
No
Certification Validity
5 Years
Complimentary Retake
Yes

Sample Certification

Generative AI Expert Certification Image

About Machine Learning Certification

The Certified Machine Learning Master is an in-depth global certification designed for professionals who want to validate their expertise in developing, deploying, and optimizing machine learning models in real-world applications. This certification sets you apart in the competitive job market by showcasing your ability to tackle complex data challenges and drive innovation across industries.

As part of the GSDC machine learning certification, this program offers practical, hands-on experience with expert-crafted resources and ready-to-implement machine learning tools. You'll gain access to an extensive E-Learning Library, Expertly Crafted BOK (Body of Knowledge), and Capstone Projects that simulate real-world scenarios.

The Generative AI Interview Practice Platform also prepares you to confidently face interviews, making you job-ready with the knowledge and skills to solve complex problems using machine learning techniques. Earning the machine learning master certification demonstrates your proficiency in deploying machine learning models and equips you to tackle advanced roles in data science, AI, and technology sectors.