MCSA: Machine Learning Training & Certification Courses
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Overview

Machine Learning course has been planned by two expert Data Scientists so that we can share our information and benefit us study multifaceted theory, algorithms and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With this course, we will progress new skills and advance our understanding of this stimulating yet lucrative sub-field of Data Science. Furthermore, the course is filled with practical exercises which are based on live samples. So not only we will learn the concept, but we will also get complete practice building our own models. This course includes both Microsoft R and Azure Machine Learning with hands-on practice.

Course Objectives:

  • Learn to analyze data using Azure Machine Learning and Microsoft R Techniques.
  • Become one of the most in-demand Data Scientists in the world today.
  • Learn how to analyze large amounts of data to bring out insights.
  • Relevant examples and cases make the learning more effective and easier.
  • Increase practical knowledge through the problem solving based method of the course along with working on a project at the end of the course

What is all involved in becoming an MCSA: Machine Learning?

There are three steps that are involved in becoming an MCSA: Machine Learning:

  • Skills – The prerequisites or the skills required for an MCSA: Machine Learning course include prior experience in Machine Learning, Data Science or Analytics.
  • Exams – The candidate needs to clear two specific exams namely:
    • Analysing Big Data with Microsoft R
    • Perform Cloud Data Science with Azure Machine Learning
    • It is imperative to explore the exam prep resources for better clarification and understanding.
  • Certification – Upon passing the two exams, the candidate earns an MCSA: Machine Learning certification.

MCSA: Machine Learning Certification Exams

Analysing Big Data with Microsoft R (Exam 70-773) - This certification is designed for candidates involved in processing and analyzing data sets larger than memory using R. The prerequisites for this exam are:

  • Prior experience with R
  • Knowledge of Data Structures
  • Understanding of basic programming concepts
  • Ability to write and debug R functions

The course is basically targeted at Data Scientists and Analysts.

Perform Cloud Data Science with Azure Machine Learning (Exam 70-774) - This certification is designed for individuals already using Azure cloud services to build and deploy intelligent solutions. The prerequisites for this exam include:

  • Familiarity with Azure Data Services and Machine Learning
  • Knowledge of common data science processes like filtering and transforming Data Sets, Model Estimation and Model Evaluation.
  • Experience in publishing effective APIs for knowledge intelligence

The course is aimed at professionals such as Data Scientists and Analysts.

Advancing Your Skills after Earning an MCSA: Machine Learning Certification

Upon earning your MCSA: Machine Learning certification, earn an MCSE in Data Management and Analytics to broaden and advance your skills.

MCSE: Data Management and Analytics is a certification that validates your skills in administering SQL, building data solutions and using business intelligence data, both on-premises and in cloud environments.

The target audience for this certification includes Database Analysts, Database Designers, and Business Intelligence Analysts.

Recommended Skills before Pursuing MCSA: Machine Learning Certification Course

It is highly recommended to earn an MTA certification before planning to achieve MCSA: Machine Learning certification.

Microsoft Technology Associate (MTA) certification is an entry-level certification associated with technology that caters to a number of technical concepts, demonstrates core technical knowledge and increases technical credibility.

The certification doesn’t require any prerequisite and is earned easily with only one exam.

Need more info ? Email info@koenig-solutions.com  or   Enquire now!

Schedule & Prices

20773A: Analyzing Big Data with Microsoft R

Delivery Mode Location Course Duration Fees Schedule
Instructor-Led Online Training (1-on-1) Client's Home/Office3 Days $ 1,790 As per mutual convenience (4-Hours Evenings & Weekends Possible
Classroom Training * Dubai 3 Days $ 2,230
20-22 Jan 2019,
10-12 Feb 2019,
17 Mar -19 Mar 2019
India (Delhi, Shimla, Goa, Bangalore, Dehradun (Rishikesh), Chennai) 3 Days $ 1,570
14-16 Jan 2019,
21-23 Jan 2019 (1 Seat Left),
4-6 Feb 2019,
11-13 Feb 2019 (1 Seat Left),
4 Mar -6 Mar 2019,
11 Mar -13 Mar 2019,
18 Mar -20 Mar 2019
Fly-Me-a-Trainer Client's Location3 Days On Request As per mutual convenience

20774A - Perform Cloud Data Science with Azure Machine Learning

Delivery Mode Location Course Duration Fees Schedule
Instructor-Led Online Training (1-on-1) Client's Home/Office5 Days $ 2,330 As per mutual convenience (4-Hours Evenings & Weekends Possible
Classroom Training * Dubai 5 Days $ 2,610
13-17 Jan 2019 (1 Seat Left),
10-14 Feb 2019,
10 Mar -14 Mar 2019
India (Delhi, Shimla, Goa, Bangalore, Dehradun (Rishikesh), Chennai) 5 Days $ 1,710
14-18 Jan 2019,
4-8 Feb 2019,
11-15 Feb 2019 (1 Seat Left),
4 Mar -8 Mar 2019,
11 Mar -15 Mar 2019,
1 Apr -5 Apr 2019
Fly-Me-a-Trainer Client's Location5 Days On Request As per mutual convenience
Need more clarity on schedule and prices? Email info@koenig-solutions.com  or   Enquire now!

Course Content / Exam(s)

Schedule for MCSA: Machine Learning

Course # Course Name Exam # Duration (days)
20774B 20774A - Perform Cloud Data Science with Azure Machine Learning70-7745
20773A 20773A: Analyzing Big Data with Microsoft R70-7733
Total 8

MCSA: Machine Learning Benefits

Upon Completion of this Course, you will accomplish following:-

  • Designing and implementing a company's portal structure including sites, pages, libraries and lists
  • Understanding the role of security and access privileges in this technology infrastructure deployment
  • Implementing consistency guidelines for creating the company's portal so that is helps in the day-to-day general administration of content.
  • Using themes and web parts available to enhance the design and improve content on the company's portal.
  • Understanding the significance of governance for planning and management of future growth.
  • Identifying different options to integrate data from various systems while preserving the existing data available.
  • Understanding the role played by social networking in company's IT deployment and its corresponding impact on collaboration.

Give an edge to your career with Microsoft certification training courses. Students can join the classes for 55033: SharePoint 2013 Site Collection and Site Administration Training & Certification Course at Koenig Campus located at New Delhi, Bengaluru, Shimla, Goa, Dehradun, Dubai & Instructor-Led Online.

Need more info ? Email info@koenig-solutions.com  or   Enquire now!

FAQ's

What is Machine Learning?

Machine Learning is one of the applications of Artificial Intelligence that enables systems to act automatically and learn from experience, without being explicitly programmed.

Which programming languages are recommended most for Machine Learning?

1. Python 2. Java 3. R 4. C++ 5. C 6. JavaScript 7. Scala 8. Julia

Which language is the best for Machine Learning?

Python is a leader among other languages used for Machine Learning. It is followed by Java, R and C++.

Is Deep Learning the same as Machine Learning?

Deep Learning is a subset of Machine Learning, though they function differently. Here is a few major difference between the two. Machine Learning models need guidance time and again but deep learning models function on their own; Unlike Machine Learning, Deep Learning specializes in solving problems from end to end, hence, require huge amounts of data. Machine Learning breaks data into parts and solves them individually; Deep Learning algorithms require high end machines while Machine Learning algorithms are capable of working on low end machines.

What is the difference between Artificial Intelligence and Machine Learning?

Artificial Intelligence is a broader term, under which machines carry out tasks rather smartly whereas Machine Learning comes within Artificial Intelligence wherein machines act automatically and learn and improve by experience.

Why is Machine Learning so important?

Machine Learning saves time and money. It automates tasks that frees up a lot of time and allows professionals to focus on complicated decision-making that cannot be handled by machines.

What does a Machine Learning engineer do?

A Machine Learning engineer creates algorithms for machines so that they perform tasks automatically, implements Machine Learning algorithms to solve business problems and performs research to improve current products and practices.

How much does a Machine Learning engineer make?

A Machine Learning engineer earns an average salary of $100,956 per annum, as per a survey done by PayScale.

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