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About Machine Learning Training Course

Get Machine Learning Certification Training Course by 10+ Years Experienced Machine Learning Trainer with Machine Learning real-time projects and approaches. Anyone can learn Machine Learning Certification Course without any prior experience and Prerequisites. Join Machine Learning Online Training from the leading Best Machine Learning training institute GangBoard. Our Machine Learning Online Certification Course helps to know more practical knowledge about Machine Learning Course Certification, after completion of this Machine Learning Online Course you can definitely get placed in good companies.

Learn Machine Learning Training Course with Machine Learning Certification from Experts. In this Machine Learning Online Training, you will learn in-depth syllabus of Machine Learning Course which has Introduction to Data Analytics, Introduction to R programming, Data Manipulation in R, Data Import techniques, Exploratory data Analysis, Basics of Statistics & Linear & Logistic Regression, Data Mining: Clustering techniques, Regression & Classification, Anova & Sentiment Analysis, Data Mining: Decision Trees and Random Forest. Our Machine Learning Online Course syllabus is designed to learn Machine Learning Course with practicals.

Best Machine Learning Online Training

Learn Machine Learning Online Training in GangBoard with World’s top-ranked faculties hands-on project training. Get ready for the Industry from day 1 itself. Machine learning online Training is conducted and trained by industry experts. Our Machine Learning online Training will provide you hands-on exposure. Machine learning experts will provide you the valuable career support. Join in Machine learning online training and became a machine learning certified expert.

About Machine Learning Certification Course

Machine Learning Online Training Course is concentrating more on topics like Introduction to Machine learning, Recommender Systems, the relationship between Machine learning and Artificial Intelligence, Time series modeling, test mining, feature engineering, and more are there. On completing this online Machine Learning training course, you can acquire many study materials and recorded a session for post-learning purposes. Most of the companies are looking for certified Machine Learning specialists and offering best jobs with a competitive salary.

Each day there are technological advancements happening around the globe. Machines are becoming much smarter and intuitive, thanks to the development in the fields of Machine learning and Artificial Intelligence. We are surrounded by specimens that display the outcome of the machine learning process. This proves that the demand for ML professionals is huge. This Machine Learning Online Course is hence designed to understand and implement the latest machine learning techniques. You will be offered an ample amount of practice in the sector with Machine Learning Certification Online Training so that you land your dream career as an ML professional in no time.

What are the objectives of our Machine Learning Online Training?

With GangBoard’s specially designed Machine Learning Online Training course, we aim to make you a desired candidate for all the companies looking for ML professionals. The basic objective that this Machine Learning Online Course aims to cover are as follows:

  • Basics of Machine learning and its concepts
  • Probability notion basics
  • Bayesian Inference
  • Understanding of nearest neighbor algorithm, logistic regression, and reduction of dimensionality
  • A comprehensive study of Kernel techniques, Elimination of density, and Ensemble methods
  • An introductory course on reinforcement learning methods and learning theory elements.

Why should you go for the Machine Learning Certification Online Training?

A certificate course in Machine Learning ensures that you understand the topics and it helps you stand out. That being said, machine learning is a very important subset of Artificial Intelligence development and many countries are conducting its own researches. As we move forward in time, it only seems appropriate that the demand for efficient Machine Learning professionals will increase. If you are someone interested in this field, then you should certainly pursue the Machine Learning Online Training course.

Who should go for the Machine Learning Certification Online Course?

At Gangboard, the Machine learning certification course is shaped to extend your limits in the field, irrespective of the job or education you have.

  • Computer Science freshers and graduates looking for a job in the IT industry
  • Students who are looking to learn Machine learning techniques
  • IT Professionals and Architects
  • Trained Business Analytics employees
  • Data Science aspirants

The above-mentioned candidates can surely go for our Machine Learning Online Course and get the certificate.

How will Machine Learning Certification Online Training help your Career?

As mentioned earlier a certificate is proof of your credibility. And if you want to excel and become a successful ML professional it is imperative that you get an appropriate certificate. The certificate will not only determine the type of specialization you are doing but also increase the chances of landing the desired job. You can be assured that you will receive a boost in your salary after completing the Machine Learning Online Training course. Hence a machine learning certification training will help your career in all kinds of ways.

What are the prerequisites for Machine Learning Certification Online Training?

There aren’t any prerequisites as such to study Machine Learning Online Course. However, to complete the exercises and follow some of the teachings you will have to have a keen understanding of high school mathematics. This includes familiarity with linear equations, variables and coefficients, and advanced concepts such as logarithms. Most of the programming exercises associated with Machine learning will ask you to be thorough with Python programming language. Other than these, there are no other requirements for our Machine Learning Online Training program.

What Skills will you learn in Machine Learning Online Training?

After going through our Machine Learning Online Course, you will have all the skills required to become a Machine Learning professional. You will have technical skills regarding the basics such as logistic regression and artificial neural networks. You will be able to apply ML Algorithms and understand Data modeling and their evaluation. These skills will help you stand out throughout your career and help in your growth and development as a successful employee. Given below are the list of some basic skills you will have after completion of our Machine Learning Online Course:

  • Unsupervised Learning
  • Deep Learning
  • Reinforcement Learning
  • Machine Learning
  • Supervised Learning

Do you need programming for Machine Learning career?

Yes, you do need some programming skills to become a successful ML professional. You have to understand that machine learning software are designed to look through data automatically for patterns and then adjust them accordingly. This takes a fair amount of programming using programming languages such as Python, R, and Java. You will be trained all of these in our Machine Learning Online Training curriculum.

Features of Machine Learning Online Training

Following are the essential features of GangBoard’s Machine Learning Online Training:

  • 365-day access to GangBoard’s Learning Management System(LMS) with Machine Learning Online Course.
  • Hands-on training from live instructors with this Machine Learning Online Training.
  • Support and Real-time Training for Machine Learning Certification Online Courses.
  • 24/7 support with Live Classroom Training.
  • This Machine Learning Online Course covers all the essentials and placement training to get hired at prominent IT companies.
  • GangBoard Training institute’s Machine Learning Online Training also provides project support for students.
  • Job support following the completion of the Machine Learning Online Course.

Introduction to Machine Learning

Machine Learning is a subset of the broad spectrum – Artificial Intelligence. It is an idea to make a machine learn from a database. Machine learning techniques are classified into Supervised, unsupervised and reinforced and semi-reinforced training. These techniques depend upon the type of data and requirements of the software. Machine learning is an important concept in computer science and has a lot of scope in the future.

What is Machine Learning?

Machine learning is a science dedicated to working automatically without having to program them every time. The software designed implementing Machine learning techniques refers to data used in the past to detect trends and patterns. These patterns open up a course of action for the software to take. Some examples of machine learning include speech recognition and self-driving vehicles.

What is Machine Learning used for?

There are a lot of applications for machine learning techniques. We are constantly surrounded by software run on the same concept. Some of the everyday software where we come across its implementation are mentioned below:

  • Prediction of weather
  • Facial recognition
  • Email Filtering
  • Smile detection
  • Traffic predictions
  • Several social media services such as suggesting friends and followers
  • Browser filtering for personalized advertisements
  • Driverless cars
  • Robotics

Nevertheless, there are a plethora of applications of machine learning techniques other than those mentioned above.

What is the difference between Machine Learning and Deep Learning?

The basic difference between Machine Learning and Deep Learning are mentioned below in the form of a table.

 S.No Parameters Machine Learning Deep Learning
1. Significance Subset of AI Subset of ML
2. Working Uses automated Algorithms Interprets data features
3. Management Directed by Analysts Self-directed
4. Data Points Thousands of data points Millions of data points
5. Output Usually a numerical value Can be anything

What is the difference between Machine Learning and Artificial Intelligence?

The difference in parameters of Artificial Intelligence and Machine Learning are stated below:

S.No Parameters Artificial Intelligence Machine Learning
1. Aim To extend the probability of success Extend accuracy, regardless of success
2. Working Works as a worm It takes knowledge and learns from it
3. Goals Resolve advanced problems Maximize performance
4. Cognitive Capability Higher Good
5. Perception Can choose the best answer Chooses answer regardless of its quality
6. Results Intelligent and knowledge-based models Data based models

Is Machine Learning an open-source?

Sure, there are a lot of open-source Machine learning projects available on the internet. You could choose to follow websites that post updates about such projects. Once you learn the techniques, you can explore the projects and contribute your workings in making them successful. You can learn more about them on Tensorflow which is an open-source library for machine learning developed by Google.

Why is Machine Learning Important?

An organization or company is successful if it makes a profit. There are several ways to achieve this, one of which is analyzing past data and learning from them to make smart choices. This means you need software that can automate models scanning a large collection of complex data. This is where Machine Learning’s importance comes into perspective. The systems integrated with machine learning tend to be a very profitable investment. Also, a lot of dedicated services are associated with Machine Learning implementation. Hence it is a very important concept.
To know the Top 10 Machine Learning Algorithm refer to this Blog.

 

What you'll learn from this course?

  • Introduction to Data Analytics
  • Introduction to R programming
  • Data Manipulation in R
  • Data Import techniques in
  • Exploratory data Analysis
  • Basics of Statistics & Linear & Logistic Regression
  • Data Mining: Clustering techniques, Regression & Classification
  • Anova & Sentiment Analysis
  • Data Mining: Decision Trees and Random Forest

Upcoming Batches for Machine Learning Training

Our Machine Learning Online Course gives students the opportunity to take classes on your flexible timings. Choose from a number of batches as per your convenience. If you got something urgent to do, reschedule your batch for a later time. The classes can be attended to at any place and at any time as per your choice.

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Machine Learning Online Training Syllabus

Module 1- Introduction to Data Analytics

Objectives:

  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by giants like Google, Facebook, etc.
  • Also, you will learn use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.

Topics

  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R

Module 2- Introduction to R programming

Objectives:

  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the ‘join’ function in SQL.

Topics

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Module 3- Data Manipulation in R

Objectives:

  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.

Topics

  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions

Module 4- Data Import techniques in

Objectives:

  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.

Topics

  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping

Module 5- Exploratory data Analysis

Objectives:

  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.

Topics

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs

Module 6- Basics of Statistics & Linear & Logistic Regression

Objectives:

  • This module touches the base of Descriptive and Inferential Statistics and Probabilities & ‘Regression Techniques’.
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.

Topics

  • Basics of Statistics
  • Inferencial statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression

Module 7- Data Mining: Clustering techniques, Regression & Classification

Objectives:

  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
  • The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
  • We will also discuss the process involved in ‘K-means Clustering’, the various statistical measures you need to know to implement it in this module.

Topics

  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering

Module 8- Anova & Sentiment Analysis

Objectives:

  • This module tells you about the Analysis of Variance (Anova) Technique.
  • The algorithm and various aspects of Anova have been discussed in this module
  • Additionally, this module also deals with Sentiment Analysis and how we can fetch, extract and mine live data from Twitter to find out the sentiment of the tweets.

Topics

  • Anova
  • Sentiment Analysis

Module 9- Data Mining: Decision Trees and Random Forest

Objectives:

  • This module covers the concepts of Decision Trees and Random Forest.
  • The algorithm of Random Forests is discussed in a step-wise approach and explained with real-life examples.

Topics

  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

Module 10- Project work

  • 2 Real-time projects

 

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Program Features

IT Professionals as Trainers

Learning a technology with a professional who is well expertise in that solve 60% of your needs.

Fully Hands-on Training

We support any training should be more practical apart from theoretical classes. So, we always gives you hands-on training.

Affordable Fees

We are dead cheap in fees. We are having options to make the payment in instalments as well if needed.

10000+ old students to believe

We satisfied 10000+ students from the day we started GangBoard. Take a look of our old student’s video reviews and it says all.

Counselling by Experts

If you are in dilemma to choose a course, we are having experts in counselling team to help you with perfect projection of your career.

Own Course Materials

We have every course material to understand which is prepared by our trainers and we will share with you after session completes.

Placement Assistance after Machine Learning Training

GangBoard offers job assistance to all the students following the completion of the Machine Learning Online Course. Need not mention, we provide our students with the Placement Oriented Training to make them capable of cracking intense interviews following the Machine Learning Online Training. Firstly, we assist our students to identify their skill set. Finding their skills and capabilities, we schedule interviews for our candidates, thanks to our deep industrial connections. Moreover, we make sure that all the students find a suitable job and step ahead to a promising career. Moreover, Machine Learning Certification Online Training covers all the essential topics that one needs to crack a machine learning job interview.

Machine Learning Job Opportunities

Machine Learning Certification Online Courses offer many promising careers due to current technological trends. And without a doubt, the industry is surging at a remarkable pace creating job opportunities like the following:

  • Machine Learning Scientist
  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer/Developer
  • Computational Linguist
  • Machine Learning Researcher
  • Research Scientist
  • Software Engineer/Developer
  • Human-Centered Machine Learning Designer
What are the jobs available after Machine Learning Training?

Following the completion of Machine Learning Online Training with GangBoard, the students will be able to find a suitable job in the Data Science field as Machine Learning is an inseparable part of Data Science only. The opportunities vary from being a full-fledged Data Scientist to a Human-Centered Machine Learning Designer but not being limited to data science, one can also become a software developer that designs and develops artificial learning systems and algorithms. Please refer the above question for more insight into job opportunities after Machine Learning Online Course.

How much does a Machine Learning Professional Make?

As mentioned earlier, a Machine Learning Professional equipped with vital Machine Learning Certification Online Courses can easily earn between $75,000 to $150,000, the average pay being $110,000. Looking at the data, one can effortlessly determine that Machine Learning is a promising field and allows a professional to earn more than other IT fields.

What is the salary for Machine Learning Certified Professional?

The median salary of an entry-level Machine Learning Certified Professional, depending upon the job role, industry, and employer can be near $110,000. However, being a demanding field, the salary may rise astronomically on the basis of experience and promotions. Need not mention that the Artificial Intelligence sector is rising exponentially and the average salary can be expected to be a lot more in upcoming years.

Is it easy to get a job after learning Machine Learning?

If you are equipped with all the essential knowledge and Machine Learning Certification Online Training that the job requires, it is effortless to get a job in Machine Learning. Looking at the data obtained in the past few years, the industrial demand for Machine Learning Professionals is on peak and is continually increasing. All the industries along with IT, are in need of professionals with expertise in the ML field. Therefore, it won’t be tough to get a job following GangBoard’s Machine Learning Online Course.

Which language is better for career Machine Learning or Artificial Intelligence?

While Machine Learning is technically a subset of Artificial Intelligence, it is more specific. Artificial Intelligence refers to building systems that are intelligent and can act on their own. On the other hand, Machine Learning is based on the idea to build machines that can analyze large datasets and learn on their own. Concluding, both fields are surging almost equally, however, in our opinion, one should opt for Machine Learning if they don’t have a clear preference.

What are the Top Companies hiring Machine Learning Professionals?

There are many innovative companies like Amazon, Apple, Google, Facebook, Uber that aim for innovation and constantly look for Machine Learning Experts. Having said that, reportedly, Uber has been working to build self-driving cars and similar work related to ML and AI has been going on in giant IT companies. Therefore, one may look forward to working with such companies following this Machine Learning Online Course.

How do I shift my career to Machine Learning from any other domain?

Machine Learning has been revolutionizing almost all the industries rapidly. In the past few years, this multidisciplinary subject has been incorporated in many big industries. Now, in order to take a leap to Machine Learning from your existing career, we suggest you register for this Machine Learning Online Course and get a professional certification, which will be enough for the shift.

 

FAQ

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

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Machine Learning Exams and Certifications

GangBoard Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at GangBoard is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

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Course Completion Rate

There are a number of exams and certification courses regarding several Machine Learning Online Coursess available on the Web. The credibility of these certificates is questionable if they come from unknown sources. Over GangBoard, we help you train yourselves to take part in any of the certification exams of your choice. Microsoft’s machine learning certificate is one of the most favored certifications and we advise you to take this one. The details of which are given below:

Microsoft MCSA: Machine Learning

Consists of two exams

  • No prerequisites
  • Credential: Microsoft Certified Professional

More information regarding the certification and how you can conquer it, will be provided in GangBoard’s Online Machine Learning Training.

What is Machine Learning certification?

A machine learning certification validates that you are informed about the latest developments in the field and that you are capable of working with software to implement the Machine learning techniques. These Machine Learning Certification Online Courses are designed by institutes such as Microsoft to test participants at several levels depending upon the specialization they choose.

Is GangBoard Authorized Machine Learning Certification Provider?

Absolutely! Our Machine Learning Certification Online Training material is designed keeping in focus the exam pattern and the procedure. Our aim is to train you in such a way that it will allow you to attend all levels and variations of Machine learning certification examinations. These Job oriented training courses are of the utmost value to us.

How many types of Machine Learning certification are there?

With Microsoft, there is just the MCSA Machine Learning certification available. For all the different types of Machine learning implementation techniques, the examination is common. These techniques include supervised training, unsupervised training, reinforced training, and semi reinforced training, which you’ll get trained for in GangBoard’s Machine Learning Online Course.

Which Machine Learning Certification is best?

Microsoft’s MCSA: Machine Learning certificate is the best certificate looking at the credibility. Our instructors help you understand and revise all the basic concepts regarding the Microsoft Machine Learning Certification. The MCSA Machine Learning certificate authenticates your expertise in operating Microsoft’s Azure Machine Learning. You will be a certified professional who knows how to run Big Data R with both SQL/R services and R servers.

How many questions are on Machine Learning exams?

All the details regarding the Machine Learning exam conducted by Microsoft are displayed below. Make sure you go through all of these and decide if you are in a situation to attend exam or not.

 S.No Certification MCSA: Machine Learning
1. Name of Exams (i) Perform Cloud Data Science with Azure Machine Learning, (ii) Analyzing Big Data with Microsoft R
2. Exam Codes (i) 70-774, (ii) 70-773
3. No. of Questions 40
4. Exam Duration 120 minutes
5. Exam Format Multiple Choice Questions
6. Passing Marks 700 points out of 1000 points
7. Language of Exam English, French, Chinese, German, Japanese, Portuguese

Once you enroll for Machine Learning Online Training with GangBoard, you will learn in detail about all the above aspects.

How much does the Machine Learning certification cost?

For Microsoft’s MCSA: Machine Learning certification program, the exam of “Perform Cloud Data Science with Azure Machine Learning” costs around 165 USD and “Analyzing Big Data with Microsoft R” will cost you the same. If you are a participant from India then according to the official Microsoft site, both the certification exam will cost you Rs. 4800. These rates may change therefore it is advised that you confirm with the site before enrolling for the certificate program.

What is the passing score for Machine Learning certification?

The passing score for both the Microsoft Azure Machine Learning and Analyzing Big Data with Microsoft R exam is 70%. There are a total of 40 questions that totals up to 1000 grade points, hence the minimum passing marks would be 700 points out of the 1000 grade points. The exam is conducted online at several authorized centers around a country and the exam lasts for 2 hours. You can opt to take the Multiple choice test in 6 different languages which are displayed in the above table.

How long is a Machine Learning certification valid?

You get a lifetime validity with the MCSA certification program from Microsoft. But Machine learning is an evolving subject and new developments are made every year. Hence, even if you have a so-called permanent certification, it is advised that you update your knowledge regarding the recent developments and keep yourself in tune with the technological innovations happening in the field with the help of Machine Learning Online Training.

Does Machine Learning certification expire?

There is no expiration for Microsoft’s MCSA certification as such. But as mentioned earlier, if you are not up to date with recent developments and innovations in the Machine learning field, then the certificate becomes obsolete. An ML professional is expected to follow the industry closely and implement changes if necessary. So even if your certificate does not expire, the value surely will if not updated.

What is the salary for a Machine Learning certified Professional?

A Machine Learning professional makes anywhere between 75,000 USD to 150,000 USD. It is a high paying job and companies are willing to shell out cash for quality ML engineers. The demand is huge as most of the companies rely on a huge complex amount of data to make profits. In India, you could receive on an average 50,000 rupees every month, which is a lot compared to other IT jobs.

How do I study for Machine Learning certification?

Your aim is to pass the MCSA certification test and that will require some serious preparation. Hands-On experience on the software is a must as most of the questions are practically based. Follow closely all our Machine Learning Online Course, take all the practice tests you can and stay confident in your approach. If you need, you can go to the official Microsoft website and search for the test and look for how the skills are measured. Then concentrate on developing all the skills one by one with the help of our instructors. By the end of our Machine Learning Online Course, you will certainly be trained to pass the exam with flying colors.

If I fail the Machine Learning certification Exam, how soon I retake it?

Microsoft has rather simple policies for exam retake and this applies for all the exams conducted by Microsoft including the Perform Cloud Data Science with Azure Machine Learning certification exam and Analyzing Big Data with Microsoft R exam. Let’s look at some of the possible cancellation scenarios:

  • If you are unable to take the exam on the scheduled exam date, all of your money is forfeited and you have to start the registration again.
  • If you reschedule your exam 6 business days prior to the scheduled date no cancellation fees will be applied.
  • If you reschedule in 5 days then a cancellation fee is charged.

These were the cancellation or rescheduling scenarios, take a look at what happens if you fail the exam.

  • You have to wait at least 24 hours if you didn’t clear the examination in the first attempt to register again and of course, you have to pay the whole fees.
  • You have to wait for 14 days if you do not clear the exam after the second attempt.
  • The 14-day waiting policy follows for the third, fourth and fifth attempts. After which he or she has to wait for 12 months to retake the exam.
  • You cannot retake an exam if you already passed it. However, you can retake the same exam if Microsoft updated the test and included new changes.

How do I apply for Machine Learning certification exams?

You need to have a Microsoft account to register for the examination. Once you have the account you can apply for the certification program from the official website and choose from a list of dates to schedule your exam. You can pay the fees using Netbanking, Credit card or debit card options and get a confirmation letter on your email account along with the center and examination details. Do not worry if you have any issues with the procedure, you will be guided to schedule the exam at GangBoard under the supervision of experienced instructors.

 

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