Certified Machine Learning Master (CMLM)

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

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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

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

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.