Certified Machine Learning Developer™

In an era where data is the new oil, the ability to create intelligent systems that learn from data is paramount. The demand for skilled machine learning developers is surging across industries. Embark on a transformative journey with our Certified Machine Learning Developer™ Certification program, meticulously designed to elevate your skills and position you as a leader in the dynamic field of machine learning. This comprehensive program equips you with advanced knowledge of machine learning algorithms, data preprocessing techniques, model evaluation, and deployment strategies, empowering you to create intelligent applications that drive business decisions and innovations. Through immersive, hands-on experiences, you’ll master the skills and tools essential for developing and deploying machine learning models.   Join us and emerge as a Certified Machine Learning Developer™, ready to harness the power of machine learning technology and shape the future of intelligent systems. Be at the forefront of a world where data-driven insights drive business growth and technological advancements.

$299

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Course duration

7.5 Hours

Exam

Self-paced

Access Mode

Online

Certification Validity

Lifetime

Modules Included

  • What is Machine Learning?
  • Process of Machine Learning
  • Life Cycle of Machine Learning
  • Application working in Machine Learning
  • Types Of Machine Learning
  • Setting up the development environment lab
  • Importing Libraries
  • Importing Dataset
  • Taking care of Missing Data
  • Encoding Data: Categorical Data
  • Splitting the dataset into the Training set and Test set
  • Feature Scaling
  • What is Supervised Learning?
  • Types of Supervised Learning
  • Simple Linear Regression
  • Multiple Regression
  • Polynomial Regression
  • Implementation of Decision Tree
  • Implementation of Random Forest Regression
  • Implementation of Logistic Regression
  • Implementation of Naive Bayes
  • Implementation of Support Vector Machine (SVM)
  • K-means Clustering
  • K-means Selecting the Number of Clusters
  • Implementation of k-means clustering
  • Implementation of Hierarchical Clustering
  • Implementation of Apriori
  • Implementation of Time Series Modeling
  • Implementation of Upper Confidence Bound (UCB)
  • Implementation of Thompson Sampling
  • Implementation of Artificial Neural Networks (ANN)
  • Implementation of Convolutional Neural Network (CNN)
  • Implementation of XGBoost
  • Implementation of Principal Component Analysis
  • Implementation of Linear Discriminant Analysis
  • Implementation of Kernel PCA
  • Implementation of Natural Language Processing in Python
  • Hands-on
  • Hands-on
  • There will be an online training followed by a multiple choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Top Job Roles

A Certified Machine Learning Developer™ is a distinguished professional holding a certification that validates their exceptional expertise in machine learning technologies and development. These experts possess deep knowledge and skills in designing, implementing, and managing machine learning models that extract valuable insights from data. They are the innovators behind intelligent solutions, leveraging their expertise to integrate machine learning algorithms into various applications, enhancing automation and decision-making processes.

The certification program is designed for individuals passionate about machine learning technologies, including data scientists, software developers, IT professionals, data analysts, and technology enthusiasts. Whether you’re an experienced professional or just starting your career in machine learning, this certification equips you with the tools and insights needed to excel in the rapidly evolving field of machine learning development.

Certified Machine Learning Developers™ are proficient in creating and managing machine learning models that enhance data analysis and predictive capabilities. They leverage their expertise in machine learning algorithms, data preprocessing, model evaluation, and deployment to build intelligent applications. These experts collaborate with cross-functional teams to develop innovative machine learning solutions for various industries, including finance, healthcare, e-commerce, and technology.

Certification Benefits

Frequently Asked Questions

A Certified Machine Learning Developer™ is a recognized professional with advanced expertise in machine learning technologies and development, holding a certification that validates their skills and knowledge in the field.

Data scientists, software developers, IT professionals, data analysts, technology enthusiasts, and anyone passionate about creating intelligent applications and leveraging data-driven insights

What Are the Benefits of Becoming a Certified Machine Learning Developer™?

Advanced expertise in machine learning development, validation of skills and knowledge, career advancement opportunities, industry recognition, and access to ongoing learning and networking opportunities.

Yes, you have the opportunity to retake the certification exam if you do not pass it on your first attempt. Please refer to the certification guidelines for specific details on retake policies and procedures.

For the most up-to-date information on program pricing, payment options, and any available discounts or scholarships, please visit our official website or contact our admissions team.

The Certified Machine Learning Developer™ program is designed to be completed within a flexible time frame, allowing you to progress at your own pace. While the recommended duration for completing the program is six weeks, the actual time may vary based on individual learning preferences and prior experience.

There are no specific prerequisites for enrolling in the Certified Machine Learning Developer™ program. However, a basic understanding of programming concepts, familiarity with statistics and data analysis, and a passion for developing intelligent systems would be beneficial.

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