Certified Machine Learning Master (CMLM)

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

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What Sets Our Program Apart?

  •    E-Learning Library Access
  •    Expertly crafted BOK with ready-to-implement resources
  •    Lifetime Valid Certification with 2 Exam Attempts
  •    Capstone Projects
  •    Generative AI Interview Practice Platform
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About Machine Learning Certification

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Objectives Of ML Certification

This certification aims to assess and validate your hands-on skills and theoretical understanding of machine learning through practical application and case studies:

  • Validate practical skills in machine learning models
  • Demonstrate understanding of core ML algorithms
  • Apply knowledge through real-world use case studies
  • Showcase expertise in feature engineering and selection.
  • Utilize ready-to-use templates and tools effectively
  • Assess proficiency in data preprocessing and feature engineering
  • Showcase ability to implement machine learning pipelines
  • Confirm knowledge of supervised and unsupervised learning
  • Reinforce understanding of AI integration techniques
  • Measure readiness for advanced machine learning roles

Benefits Of Machine Learning Certification

By earning this certification, professionals gain tangible advantages that enhance their career and job performance in the machine learning domain:

  • Gain hands-on experience with practical ML projects
  • Access expert-designed templates to speed workflows
  • Strengthen resume with a certified machine learning credential
  • Increase job opportunities in data science and AI roles
  • Enhance ability to solve complex business problems
  • Stand out among other machine learning certificates
  • Demonstrate mastery valued by employers globally
  • Boost confidence in deploying ML models effectively
  • Connect theory with real-world machine learning applications
  • Support career growth with recognized certifications in machine learning

Exam Syllabus Of Machine Learning Certification

  • 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)

Meet our Advisor

 Wanda L. Curlee
Wanda L. Curlee

Department Chair

Lee Lambert
Lee Lambert

CEO

Carsten Ley
Carsten Ley

Founder, Customer

Enrollment Options

Resources Provided by GSDC

Single Certification Module

Unlock full access to all comprehensive resources and earn Global certification

$ 200.0 $ 100.0

Bundle Certification Module

Get 3 certifications at a discounted price for maximum value

$ 800.0 $ 400.0

Certification Programs

1

Learning Resources

Certification Exam with Free Retake & Practice Exams

Capstone Project, AI Interview Platform & AI Tools Use Cases

Cost Savings (X% Off vs Single Purchase)

50%

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GSDC Membership worth $109 free

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Looking to enroll your employees into this program?

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

Basic programming and math knowledge is recommended but not mandatory to take the certification exam.

Exam Details Of Machine Learning Professional (CMLP)

Exam Questions

40

Exam Format

Multiple choice

Language

English

Passing Score

65%

Duration

90 min

Open Book

No

Certification Validity

Lifetime

Complimentary Retake

Yes

Sample Certification

CMLM_CERTI_SAMPLE

About Machine Learning Certification

The Certified Machine Learning Master (CMLM) is a comprehensive certification designed for professionals seeking to validate their expertise with certifications in machine learning.


This machine learning master certification answers the need for skilled experts who can develop, implement, and optimize machine learning models in real-world applications.


By earning this certified machine learning credential, candidates demonstrate practical knowledge that sets them apart in a competitive job market.


With multiple machine learning certificates available, the CMLM stands out by focusing on hands-on skills and in-depth understanding.


This certification in machine learning equips professionals to tackle complex data challenges and drive innovation across industries.


Frequently Asked Questions

This certification is ideal for data scientists, AI engineers, and analysts seeking machine learning certificates to advance their careers with certifications in machine learning.

The Certified Machine Learning Master is a machine learning master certification that validates practical skills, helping professionals stand out among other machine learning certifications and earn a valuable certified machine learning credential.

Holding this certification in machine learning opens opportunities in roles like machine learning engineer, data scientist, and AI specialist, increasing demand for certified machine learning professionals.

This machine learning master certification answers the industry’s need for skilled experts who can build, optimize, and deploy machine learning models that drive innovation and competitive advantage.

GSDC certifications remain valid indefinitely after being obtained, eliminating the need for renewal or added fees over time.

Organizations gain certified machine learning professionals who improve model accuracy, accelerate AI projects, and enhance data-driven decision-making with this machine learning certification.

However, Candidates should ideally have a foundational understanding of programming (preferably in Python), statistics, and data analysis.

A book of knowledge is a complementary resource from GSDC that contains in-depth information, learnings, guides, and more regarding the specific certification.

The GSDC Machine Learning Master certification is recognized for its exam that covers both theoretical and practical aspects of machine learning. It emphasizes hands-on experience and is designed to equip candidates with skills that are directly applicable to the industry, making it competitive with other certifications.

GSDC provides various complementary resources including study materials, mocks, and other essential resources.

Choose your preferred package above to begin your certification journey

Why GSDC ?

The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:

  • Advisory board members and SMEs are from around the world, drawn from different specializations.

  • Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.

  • Hub of Trending Technologies and framework certifications.

  • Content curated by Industry's best Subject matter experts.

  • Webinars and Conferences.

  • Training Partners Across The Globe.

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