Machine Learning (ML) Certification Courses Training

Overview



Machine Learning is a type of Artificial Intelligence (AI) that enables computers to learn from data and experience without being explicitly programmed. It is used in a variety of applications such as natural language processing, computer vision, robotics, and more. Major vendors for Machine Learning technology include Google, Microsoft, IBM, Amazon, and Apple. These vendors provide Machine Learning as a service, allowing developers to quickly and easily build and deploy AI-powered applications. Additionally, many open source Machine Learning libraries are available, allowing developers to create custom solutions.

About Machine Learning Training and Certification Courses


Machine Learning training and Certification Courses are designed to help professionals gain the skills and knowledge needed to develop and deploy machine learning models. These courses cover topics such as data pre-processing, supervised and unsupervised learning, deep learning, and more. Upon completion of the course, participants will receive a certification that demonstrates their proficiency in the field.
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Prerequisites for Machine Learning Certifications


• Knowledge of basic mathematics such as calculus, linear algebra, and probability
• Understanding of basic programming concepts such as loops, functions, and classes
• Familiarity with popular machine learning algorithms such as linear regression, decision trees, and neural networks
• Ability to use popular machine learning libraries such as Scikit-learn, TensorFlow, and Keras
• Understanding of data pre-processing techniques such as normalization, feature selection, and feature engineering
• Knowledge of evaluation metrics such as accuracy, precision, recall, and F1 score

Who should take Machine Learning Certification Training Courses?


• Professionals looking to gain expertise in Machine Learning
• Students and freshers who want to pursue a career in Machine Learning
• Experienced professionals who want to upgrade their skills
• Data Scientists and Analysts who want to learn Machine Learning
• Software Developers and Engineers who want to learn Machine Learning
• Business Analysts and Managers who want to leverage Machine Learning for their business

Skills Earned by Individuals after Completing Machine Learning Training and Certification Courses


1. Understanding of Machine Learning algorithms and techniques: This includes knowledge of supervised and unsupervised learning, neural networks, deep learning, and reinforcement learning.
2. Ability to develop and implement Machine Learning models: This includes the ability to use programming languages such as Python, R, and Java to create and deploy ML models.
3. Knowledge of data pre-processing and feature engineering: This includes the ability to clean, transform, and prepare data for ML models.
4. Understanding of Machine Learning libraries and frameworks: This includes knowledge of popular ML libraries such as TensorFlow, Scikit-Learn, and Keras.
5. Ability to evaluate and optimize ML models: This includes the ability to use metrics such as accuracy, precision, recall, and F1 score to evaluate ML models.
6. Understanding of Machine Learning deployment: This includes knowledge of deploying ML models in production environments.
7. Knowledge of ethical considerations in Machine Learning: This includes understanding of ethical implications of ML models and how to ensure responsible use of ML.

Reasons to Choose Koenig Solutions for Machine Learning Courses


Benefits of Choosing Koenig Solutions for Machine Learning Training:
• Certified Instructors: Koenig Solutions provides certified instructors to ensure quality training.
• Boost Your Career: Koenig Solutions offers customized training programs to help you boost your career.
• Customized Training Programs: Koenig Solutions offers customized training programs to meet your specific needs.
• Destination Training: Koenig Solutions offers destination training in India, USA, UK, and Dubai.
• Affordable Pricing: Koenig Solutions offers affordable pricing for its training programs.
• Top Training Institute: Koenig Solutions is one of the top training institutes in the world.
• Flexible Dates: Koenig Solutions offers flexible dates for its training programs.
• Instructor-Led Online Training: Koenig Solutions offers instructor-led online training for its courses.
• Wide Range of Courses: Koenig Solutions offers a wide range of courses in Machine Learning.
• Accredited Training: Koenig Solutions provides accredited training for its courses.

Benefits of Taking Machine Learning Certification Courses


• Increased job opportunities: According to a survey by IBM, demand for data scientists and machine learning engineers has grown by 344% since 2013.
• Higher salaries: According to Glassdoor, the average salary for a Machine Learning Engineer is $114,121 per year.
• Improved problem-solving skills: Machine Learning Certification Training helps individuals to develop problem-solving skills and think critically.
• Enhanced knowledge: Machine Learning Certification Training helps individuals to gain knowledge about the latest technologies and trends in the field.
• Bullet List of Benefits:
1. Increased job opportunities
2. Higher salaries
3. Improved problem-solving skills
4. Enhanced knowledge

FAQ's

Ans - No, the published fee includes all applicable taxes.

Below is the cost of Machine Learning certification exams:

  • The cost for most of the Microsoft Azure Machine Learning certification exams is USD 165.
  • The cost for most of the AWS-related Machine Learning certification exams is USD 300.

Here also, it depends as to which governing body you are taking up the Machine Learning certification exam. Microsoft Azure-based Machine Learning certifications are valid for two years only. In comparison, the AWS-based Machine Learning certifications are valid for three years. To maintain a Machine Learning certification, a participant has to get recertified in the latest version of the certification to keep it current.

Some of the popular Machine Learning Algorithms used are:
  • Supervised Machine Learning Algorithms – Where the algorithm searches for various patterns for the labels assigned within data points
  • Unsupervised Machine Learning Algorithms – Here the labels are associated without any data points and groups into clusters
  • Reinforcement Machining Learning Algorithms – In this algorithm it uses actions based on data points and keeps bettering itself with newer strategies 
 

There are various vendors that offer different Machine Learning certification courses for various platforms and learning paths. Some of the popular Machine Learning certification courses are from the house of Microsoft Azure and AWS. Koenig Solutions is a Microsoft Gold Partner and Accredited AWS Training Partner to deliver their Machine Learning courses globally.

Yes, Koenig Solutions is an approved training partner of Microsoft and AWS to deliver their Machine Learning courses along with in-house developed ML courses worldwide.

Different vendors have their own respective testing centers and online portals to take up their Machine Learning certification exams. Microsoft and AWS Machine Learning certification exams can be taken at Pearson Vue test centers.

Machine Learning is a type of data analysis and data modelling, where it provides accuracy to almost 99.99% in terms of statistical analysis, probability, forecasting, and other criteria. Machine Learning is a subset of AI and learns from different data types, understands various patterns, and helps decision-making easy without human intervention. 
 
Today, Machine Learning is used across industry sectors and various processes and applications worldwide. Some of the critical processes or technologies where Machine Learning is used in search engines, digital marketing, healthcare, education, banking sector to detect fraud, mobile applications, voice recognition, facial recognition, social media, and other critical technologies.