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Certificate Program in

Machine Learning on Azure

Learn to rapidly build and deploy highly accurate Machine Learning models with certification in Machine Learning on Azure, one of the top-paying skills and enter this hot career path.
  • 24 Hours Interactive Online Sessions
  • 80 Hours Assignments & Real-Time Projects
  • Training Aligned with Microsoft Certified: Azure Data Scientist Associate
  • Complimentary Machine Learning Primer
  • Complimentary Python Programming
Machine Learning on Azure course reviews - 360digitmg
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Machine Learning on Azure course reviews - 360digitmg
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Azure is a cloud-based environment that is used to manage, train, deploy, and track Machine Learning models without any coding involved. Using Azure, you will be able to create your machine learning models using its drag and drop interface. Machine learning technique allows computers to use data and predict outcomes, future behavior, trends, and also can make apps and devices smarter. Machine Learning is also being leveraged to solve business challenges in different industries. This course has been designed for Data Scientists, Developers, Analysts, students, and professionals who wish to excel in this exciting domain of Machine Learning. So, think no more and enroll in the course, ‘Machine Learning on Azure’, and launch your career in this growing field.

ML on Cloud

Program Cost

INR 40,460 28,320/-

Machine Learning on Azure Course Overview

Build models and learn the various parameters involved in designing models. Learn about the real-world applications of ML models and also how to train, manage, scale, and track them on Azure. This course will give an introduction to Machine Learning and how to build and deploy models faster. Learn to develop end-to-end workflow pipelines to build and track your assets. This course presents you with the concept and framework of cloud computing and the various machine learning services in Azure. You will learn about the benefits of cloud computing and also explore the Data Visualization capabilities of Azure. By the end of the course, you will be able to build predictive models using Machine learning services on Azure.

Define Machine Learning

Machine Learning is a branch of artificial intelligence that brings out the power of data and enables computer systems to learn and perform tasks automatically through detections and predictions. Machine learning applications are leveraged in everything from Virtual Assistant solutions to self-driving cars to robots to several other practical applications that drive the business world and the customer care industry. Professionals with the right skills in machine learning will be well-positioned because companies are ramping up their workforces to take full advantage of the benefits of Machine Learning.

Machine Learning on Azure Learning Outcomes

With machine learning, a huge amount of information can be processed to make decisions based on logic and data collected. Azure is a cloud-based platform that allows training, deploying, and managing Machine Learning models and in this course, you will be exposed to various tools and interfaces that are used to work on Azure Machine Learning. Students will learn to work with data pipelines to build ML solutions and use the collected data for experimentation and model training while learning to create a workspace in Azure. Students will gain hands-on experience in training a model and also prepare data for analyzing and making predictions using Azure. Students will be also able to demonstrate their skills in using the various tools and interfaces that help to solve large data processing projects. Join the course in Machine learning on Azure and explore the Extracting, Transforming, Loading Capabilities of Azure and also learn to

Optimize, Deploy & Operate Models using Azure
Explore the various Machine Learning services on Azure
Learn to use Data Visualization using Azure ML Services
Understand the concepts of Machine Learning algorithms
Demonstrate skills to build predictive models using Azure ML Services
Learn how to deploy and optimize models in production and finally validate Code, Data & Models

Block Your Time

Machine Learning on Azure online course - 360digitmg

24 hours

Live Sessions

Machine Learning on Azure online course - 360digitmg

40 hours

Assignments

Machine Learning on Azure online course - 360digitmg

40 hours

Live Projects

Who Should Sign Up?

  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data scientists, technology heads, decision-makers
  • Professionals with analytics knowledge
  • Professionals with industry domain experience in various areas (banking, finance, insurance, mechanical, IoT etc.)

Modules for Machine Learning on Azure Course

Each module encapsulates the essential tools to impart machine learning skills using the two most popular programming languages Python and R. You will learn how to establish a gateway between different databases with R and Python and also how to connect to external sources of data. One of the major modules of Data Science is Machine Learning. Learn about the various modules that make up Machine Learning using the two most popular tools R and Python. As a data scientist one will be engaged in a multitude of data mining techniques in both supervised and unsupervised learning. One of the major variants of the same is reinforcement learning that enables machines to learn through rewards. Get introduced to all the supervised techniques of prediction and classification; learn about the major unsupervised learning methods and the application of reinforcement learning in Data Mining.

Learn two of the most powerful programming languages used in Data Analytics. Both R and Python are the top two tools used by Data Analytics professionals world over. Start learning from the very basics, right from installation and work your way up through simple commands, writing small functions and programs.

Both R and Python can connect to a wide variety of data sources. Under this module, learn how to establish a gateway between different databases with R and Python. Also, learn how to connect to external sources of data.

One of the major modules of Data Science is Machine Learning. Learn about the various modules that make up Machine Learning using the two most popular tools R and Python. Get introduced to the broad overview of ML and the various quality metrics with the help of R and Python.

In the real world, oftentimes, the datasets cannot be used as such and some amount of preprocessing activity needs to be done. Imbalance in the output classes is one of the common problems where sometimes the proportion may be as lopsided as 95% to 5% or even higher. Learn about the various methods and algorithms to address this problem of imbalanced data sets.

One of the integral parts of learning Data Science and working on Analytics projects is the sound understanding of Statistical tools. In this module learn about the need to know statistical measures and their application in Data Science. Also, learn how to visualize the data in a concise form to derive various meaningful insights.

The essence of analytics is to be able to get the story from the data. And for the data to be able to truly be useful one needs to munge the raw data to make it legible. Using tools like R and Python, learn how to manipulate data from the raw form to make it ready for subsequent ML algorithms. The topic is all the more important in the current context given that a lot of data is moving to the unstructured format.

Both R and Python while being classified under the object-oriented programming languages category, still require some traditional approach to programming whereby the user-defined function needs to be spelled out and the use of conventional program snippets is of utmost importance. In this module, learn how to create simple to complex user-defined functions and hone your programming skills in the context of machine learning.

As a data scientist one will be engaged in a multitude of data mining techniques in both supervised and unsupervised learning. One of the major variants of the same is reinforcement learning that enables machines to learn through rewards. Under this module, get introduced to all the supervised techniques of prediction and classification; learn about the major unsupervised learning methods and the application of reinforcement learning in Data Mining.

Under supervised learning one of the most popular methods of predicting numeric data is linear regression and for classifying categorical data is logistic regression. These two methods will be covered in detail under this module. And the participant will be introduced to multiple examples using R and Python.

Under the classification modeling, decision trees method has a special place even though they are not truly classification modeling techniques but rule-based algorithms. The popularity of Decision trees is in its simplicity, high accuracy, and most important the ability to explain behind- the- scenes working of the algorithm. Under this module, the participant will be introduced to working with Decision trees using R and Python.

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Machine Learning on Azure course using apache air flow
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Machine Learning on Azure Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
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Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
 
Machine Learning on Azure online course certification - 360digitmg

Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Machine Learning on Azure Course Certificate is your passport to an accelerated career path.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

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Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

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Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

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Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

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Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

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Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

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Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology

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FAQs for Machine Learning on Azure Course Training

The Azure Machine Learning interface is very user friendly where you can simply drag and drop your datasets for analysis and also link them together for experiments.

The Machine learning talent market is gaining momentum and large enterprises are looking out for professionals with knowledge of machine learning and are offering lucrative salaries which range between 8-9 lacs per annum.

No, you will be provided a completion certificate from 360DigiTMG which is valid for a lifetime.

With massive amounts of data at our disposal that needs to be examined and analyzed, the major tasks in the future will employ new technologies like machine learning to solve business-related problems and challenges faced in dealing with epic data. So, someone with the apt skill set will be for sure in demand.

Yes, we provide both online and offline classes for students as well as working professionals.

Yes, after the completion of every module you are given assignments to build concepts and after the completion of the assignments, you will get to work on live projects with real-time datasets.

Jobs in the field of Machine Learning on Azure in India

Jobs for a Machine learning

With the right Machine Learning skills, one can explore various career paths including that of a Data Scientist, NLP Scientist, Human-Centered Machine Learning Designer, Data Architect, Cloud Architect, etc.

Salaries in India for Machine Learning on Azure

Salaries of a Machine learning

With the adoption of smart technologies, the demand for skilled professionals is also on the rise. The average salary of an ML engineer is between 6-7 lacs per annum and if you have a skillset of Deep Learning and NLP you can garner 8-9 lacs per annum.

DMachine Learning on Azure course Projects in India

Projects in the field of Machine Learning

The best way to achieve mastery in any field is to get hands-on exposure to live projects that help you gain more practical knowledge. One of the projects that one can work on is, predicting the various stock prices, or a project in the healthcare domain.

Role of Open Source Tools in Machine Learning on Azure course in India

Role of open source tools in Machine Learning on Azure

The open-source tools help build and deploy machine learning models faster. These tools also help to extract relevant data to supply significant information to businesses and help create new algorithms and discover new methods to train the model.

Modes of Training for Machine Learning on Azure course on in India

Mode of training for Machine Learning on Azure

The course is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of Interactive Live Online learning. We also support e-learning as part of our curriculum.

Industry Application of  Machine Learning on Azure in India

Industrial Applications of Machine Learning

Machine learning has evolved into a go-to technology for many industries for automation to technical expertise including automotive, manufacturing, retail, healthcare, etc.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

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