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
  •    Certificate valid for 5 years 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

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

  • 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

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Certification Programs

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Learning Resources

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Capstone Project, AI Interview Platform & AI Tools Use Cases

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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

5 Years

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.

The validity of GSDC's Machine Learning Master Certification is 5 years.

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

Yes, upon successfully completing the certification exam, you will receive a GSDC Certificate that includes 24 CPD (Continuing Professional Development) hours clearly mentioned.

Program Overview & Eligibility for Certified Machine Learning Master (CMLM)

The Certified Machine Learning Master (CMLM) certification is designed for professionals seeking to validate their expertise in machine learning (ML). This certification covers core areas of ML, including algorithms, data preprocessing, model building, and model evaluation. It’s one of the top machine learning certifications that helps professionals establish their credibility in the field of machine learning.

The CMLM certification is ideal for data scientists, ML engineers, software developers, and professionals in AI-related roles who wish to deepen their knowledge and skills in machine learning. Whether you’re starting your ML journey or looking to formalize your expertise with a machine learning certificate, this certification will enhance your career prospects.

The CMLM certification stands out as one of the best machine learning certifications because it provides comprehensive coverage of both the theory and practical aspects of machine learning. Unlike many basic courses, the machine learning certification exam tests your knowledge in real-world scenarios, ensuring that you are fully prepared to tackle the challenges of machine learning in industry settings.

While no formal prerequisites are required, a basic understanding of programming, mathematics, and statistics will be helpful. Previous exposure to programming languages such as Python or R can be an advantage when pursuing this machine learning certification.

The machine learning certificate program covers a wide range of topics, including supervised and unsupervised learning, neural networks, deep learning, feature engineering, model evaluation, and more. The curriculum is designed to give you a solid understanding of machine learning techniques and best practices.

The CMLM certification is self-paced, and the time to complete it depends on your prior knowledge and availability. On average, candidates can complete the machine learning certification exam preparation in a few weeks to a few months, depending on how much time they can commit.

You can easily register for the CMLM certification program through the GSDC website. Once you register, you’ll get immediate access to all the learning resources, including video lectures, assignments, and exam prep materials.

The machine learning certification exam consists of multiple-choice questions and practical problems based on real-world ML applications. To pass the exam and earn the machine learning certification, you’ll need to achieve a score of 65% or higher.

Preparation for the machine learning certification exam involves a combination of studying the course materials, practicing with coding challenges, and completing hands-on projects. The program includes mock exams, quizzes, and case studies to ensure you’re well-prepared for the final exam.

Yes! Upon successfully completing the CMLM certification exam, you will receive a machine learning certificate that is recognized by employers and peers in the industry. The certificate validates your expertise in machine learning and can be shared on professional platforms like LinkedIn.

Learning Experience & Resources for Certified Machine Learning Master (CMLM)

The machine learning certification program will teach you how to build and deploy machine learning models, understand key algorithms like regression, clustering, and classification, and apply ML techniques to real-world problems. You will also learn how to evaluate models and improve them for optimal performance.

Yes! The CMLM certification includes numerous hands-on labs and projects. You will work with real-world datasets to build machine learning models, analyze data, and test your skills. These practical exercises are designed to ensure you can apply what you’ve learned directly to real-world scenarios.

No, all the necessary tools and platforms are accessible online, so you don’t need to install anything on your computer. The CMLM certification provides access to cloud-based environments where you can run your machine learning experiments and projects.

Yes! Throughout the machine learning certification, you will have access to a team of mentors and instructors who can answer your questions, guide you through challenging topics, and offer feedback on your projects. This support ensures you get the most out of the program.

Yes! The CMLM certification is self-paced, allowing you to learn according to your schedule. You can access all resources and materials online and proceed through the course at your own speed, making it easy to balance your learning with work or other commitments.

Yes! The CMLM certification program includes multiple practice exams, quizzes, and coding challenges to help you assess your readiness for the final exam. These practice assessments mimic the real machine learning exam, so you can confidently prepare for it.

The CMLM certification provides comprehensive learning resources, including e-learning modules, video tutorials, reading materials, project templates, case studies, and downloadable resources. All of these are designed to reinforce the concepts covered in the course and enhance your learning experience.

Once enrolled in the CMLM certification program, you’ll get access to an online learning platform. This platform is where you’ll find all your resources, including video lectures, coding exercises, quizzes, and the exam portal.

Yes! Upon successful completion of the Certified Machine Learning Master (CMLM) exam, you will receive a digital certificate and a shareable digital badge. You can showcase your machine learning certificate on LinkedIn, your CV, or other professional networks.

Yes, once you complete the Certified Machine Learning Master certification, you’ll have lifetime access to the course materials and resources. This allows you to revisit any content as needed, ensuring continuous learning throughout your career.

Career Benefits of Certified Machine Learning Master (CMLM)

The Certified Machine Learning Master (CMLM) certification opens up a wide range of career opportunities by showcasing your expertise in machine learning. It validates your ability to apply machine learning algorithms, solve real-world data problems, and implement ML models effectively. With the rising demand for data scientists and AI professionals, this certification positions you as a leader in the field of machine learning, making you highly attractive to top employers.

After earning the CMLM certification, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Developer, Data Analyst, ML Specialist, Artificial Intelligence Consultant, or Research Scientist. This certification qualifies you for positions that require advanced knowledge and practical skills in machine learning.

Certified Machine Learning professionals can expect competitive salaries, ranging from $80,000 to $150,000 per year, depending on their experience and role. Senior machine learning professionals or those in specialized positions such as AI research or data science can earn upwards of $160,000 annually. This machine learning certification significantly boosts your earning potential in the field of AI and data science.

The CMLM certification sets you apart in a competitive job market. It proves your advanced knowledge of machine learning concepts, algorithms, and applications. Professionals with this certification often see career advancement in the form of promotions, new roles, and higher salaries as their expertise in ML is increasingly sought after by employers in various industries.

Yes, the Certified Machine Learning Master (CMLM) certification is widely recognized by employers globally, especially in industries like technology, finance, healthcare, and consulting. It demonstrates that you possess the practical and theoretical skills needed to drive machine learning initiatives and solve complex data challenges in organizations.

Absolutely! If you're transitioning from a different technical field, such as software engineering or business analysis, the CMLM certification equips you with the necessary skills to make a smooth transition into machine learning or data science roles. It provides a structured learning path and recognized certification that validates your new expertise.

Yes! With the machine learning certification, you gain the credibility and confidence to move into leadership roles in AI, such as AI Team Lead, Machine Learning Architect, or Head of AI Research. The certification demonstrates your expertise in machine learning, making you a strong candidate for roles that require both technical and strategic decision-making skills.

The Certified Machine Learning Master stands out as one of the best machine learning certifications due to its comprehensive curriculum, practical focus, and real-world applications. Unlike many introductory courses, the CMLM certification ensures that you have in-depth knowledge and hands-on experience with advanced machine learning techniques, setting you apart from other professionals in the field.

Yes, the CMLM certification is internationally recognized, making it a valuable credential if you are seeking opportunities abroad or working with global teams. Machine learning expertise is in high demand worldwide, and this certification gives you the credibility to pursue roles in countries across the globe.

Industries that heavily rely on data-driven decision-making and AI solutions, such as technology, finance, healthcare, automotive, e-commerce, and consulting, value professionals with machine learning certifications. The CMLM certification opens doors to roles in these fast-growing sectors, where machine learning and AI are transforming business operations.

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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