Certified Machine Learning Professional, Machine Learning Professional
Beingcert Machine Learning Professional

Beingcert Machine Learning certification is a global vendor-neutral certification that provides a comprehensive understanding of machine learning and prepares individuals to apply machine learning techniques in a variety of contexts. This certification validates that a successful candidate has a strong understanding of the model selection and evaluation techniques, as well as a deep understanding of architectures and techniques.

The Certified Machine Learning Professional certification covers fundamentals of Machine Learning & AI, architecture, clustering methods, matrix factorization, classification and regression, topic modeling, and model selection. ML uses computational methods that make use of an algorithm that builds logic based on data.

Skills you will Learn Exam Domains Format of Exam Job Roles Course Curriculum

Skills you will Learn

  • Demonstrate a comprehensive understanding of machine learning fundamentals, including supervised and unsupervised learning, regression, classification, clustering, and evaluation metrics.
  • Apply techniques for cleaning and preprocessing data, as well as feature engineering, to prepare data for machine learning models.
  • Select and evaluate machine learning models using cross-validation, hyperparameter tuning, and model interpretation techniques.
  • Develop and apply deep learning techniques, including neural networks, convolutional neural networks, and recurrent neural networks, for a variety of tasks.
  • Analyze ethical considerations in machine learning, including fairness, accountability, and transparency, and apply techniques for detecting and mitigating bias in machine learning models.
  • Apply machine learning techniques to real-world problems, including image recognition, natural language processing, and recommendation systems.

Exam Domains of Beingcert Machine Learning Professional

  • Foundations of Machine Learning - 10%
  • Data Pre-processing and preparation - 25%
  • Model Selection and Evaluation - 30%
  • Deep Learning - 25%
  • Ethics and Bias in Machine Learning - 5%
  • Applications of Machine Learning - 5%

Format of Exam

  • Number of Questions: 80
  • Exam Duration: 120 minutes
  • Types of questions: Multiple choice questions & Scenario based questions
  • Passing score: 56
  • Language: English
  • Testing Provider: Beingcert

Job Roles

  • Machine Learning Engineer
  • Data Analyst
  • Research Scientist
  • Deep Learning Engineer
  • Machine Learning Architect
  • Data Scientist

Companies that hire Machine Learning Professional

Many companies across a wide range of industries value the Beingcert Machine Learning Professional and actively seek out experts to fill Beingcert Machine Learning Professional roles.

Course Curriculum

While you attempt for this Certification, numerous topics will be covered in the examination. The candidates can download the syllabus provided below to get the complete details of the topics that will be covered in Beingcert Machine Learning Professional

Frequently Asked Questions

  1. Data analysts and data scientists who want to expand their skills into machine learning.
  2. Software developers who want to develop expertise in machine learning and incorporate it into their applications.
  3. Business analysts and managers who want to gain a deeper understanding of machine learning to inform business decisions.
  4. Recent graduates and students who want to enter the field of machine learning and gain a competitive advantage in the job market.
  5. Professionals in related fields who want to learn about machine learning and its applications, such as computer vision or natural language processing.

  1. A strong background in mathematics, including calculus, linear algebra, and probability theory.
  2. Basic proficiency in at least one programming language, such as Python or R.
  3. Familiarity with basic data analysis concepts, such as data structures and data manipulation techniques.
  4. Basic understanding of statistical concepts, such as hypothesis testing and statistical inference.

Ans. A certification in machine learning can demonstrate your proficiency in the field to increase your job prospects and earning potential and give you confidence in your abilities.

Ans. Machine learning is expected to have a significant impact on the job market, with some jobs being automated and new jobs being created in fields such as data science, AI research, and machine learning engineering.

Ans. Machine learning can be used in the field of education for tasks such as personalized learning, student performance analysis, and predicting student outcomes.