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Machine Learning on AWS SageMaker

Learn the latest technologies and foster your career with ML on the AWS certification program.
  • 24 Hours Interactive Online Sessions
  • 80 Hours Assignments & Real-Time Projects
  • Complementary Machine Leaning Concepts
  • Complementary Python Programming
  • Complimentary DevOps for Beginners
  • Aligned with AWS Certified Machine Learning Speciality
Machine Learning on AWS SageMaker course reviews - 360digitmg
485 Reviews
Machine Learning on AWS SageMaker course reviews - 360digitmg
2064 Learners
Academic Partners & International Accreditations
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Machine learning (ML) is widely emerging creating ample opportunities in the market. As per the reports of The World Economic Forum, the growth of Artificial intelligence (AI) could create 57 million new jobs in the coming years, but there are only 300,000 Machine Learning and AI engineers. So there is a lack of ML talent in the job market. This implies that there is a need and demand for professionals who have substantial knowledge of ML on cloud applications. This is the right time for the job aspirants to develop the required ML skills and advance their career.

ML on Cloud

Program Cost

INR 40,460 28,320/-

ML on AWS SageMaker Course Overview

360DigiTMG delivers the best training in Machine Learning on AWS. This course focuses on the basics of AWS Machine Learning. This course emphasizes the key concepts that include Natural Language Processing, Cloud computing, Data preprocessing, and building models. Professionals will also be introduced to advanced tools like TensorFlow, SCikit, Apache, etc, and their applications. ML on AWS training program is designed exclusively for the professionals who want to achieve a top position in the data-driven world. This course enhances the required skills and helps professionals to accomplish their goals.

ML on AWS SageMaker Learning Outcomes

ML on AWS training program is formulated to introduce the key concepts of Machine Learning and how the Machine Learning models are trained and deployed with algorithms. This program is designed to address the problems and generate innovative solutions. From this training program, students will learn the applications of SageMaker, and be able to build models. Will learn the important tools and techniques and learn the concepts like Scaling the Model, Managing Cost & Automatic Tuning. The main objective of the ML on AWS training program is to introduce the key concepts of ML and make professionals the future-ready workforce.

Learn the practical applications using Amazon SageMaker
Learn to build, design, train, and deploy Machine Learning models using SageMaker and built-in algorithms models
Learn eminent tools like TensorFlow, Keras, PyTorch, Apache MXNet, Apache Spark & Spark SDK
Learn to deploy XGBoost model using MLflow
Understand to deploy models using Sagify

Block Your Time

Machine Learning on AWS SageMaker online course - 360digitmg

24 hours

Live Sessions

Machine Learning on AWS SageMaker online course - 360digitmg

40 hours

Assignments

Machine Learning on AWS SageMaker 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 ML on AWS SageMaker 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 AWS SageMaker course with amazon sage maker in India
How We Prepare You
  • Machine Learning on AWS SageMaker with placements
    Additional Assignments of over 80+ hours
  • Machine Learning on AWS SageMaker with placements training
    Live Free Webinars
  • Machine Learning on AWS SageMaker training institute with placements
    Resume and LinkedIn Review Sessions
  • Machine Learning on AWS SageMaker course with certification
    Lifetime LMS Access
  • Machine Learning on AWS SageMaker course with USP
    24/7 Support
  • Machine Learning on AWS SageMaker certification with USP
    Job Placements in Data Science Fields
  • Machine Learning on AWS SageMaker course with USP
    Complimentary Courses
  • Machine Learning on AWS SageMaker course
    Unlimited Mock Interview and Quiz Session
  • Machine Learning on AWS SageMaker training with placements
    Hands-on Experience in Live Projects
  • Machine Learning on AWS SageMaker course
    Life Time Free Access to Industry Webinars

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ML on AWS SageMaker 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
Read More >
 
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
Read More >
 
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 AWS SageMaker 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 AWS SageMaker 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 ML on AWS SageMaker Course Training

ML on AWS training curriculum includes a perfect blend of theory and practicals. The practical training includes handling real-time projects that provide an opportunity to gain hands-on experience.

Our trainers are available to clear all doubts. We also provide a dedicated team of mentors to guide you throughout your learning journey at any time.

We provide LMS access to our students where they can access the previous or missed classes and can revise the sessions at their convenience.

We provide facilities like resume building sessions, conduct mock interviews, and provide you the opportunity to attend webinars and sessions on trending topics.

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

yes, assignments are part of the curriculum, and students are supposed to complete 80% of assignments.

Jobs in the field of Machine Learning on AWS SageMaker in India

ML on AWS Jobs

The job roles specified in Machine Learning on AWS include Software Development Engineer, Machine Learning Engineer, Data Scientist, Software Development Manager, Senior Business Intelligence Engineer, Senior Machine Learning Engineer, etc.

Salaries in India for Machine Learning on AWS SageMaker

Salaries in ML on AWS

The average salary for a Machine Learning Engineer with Software Development skills in India is Rs 7,37,600. The average salary for a Software Developer in India is Rs 4,95,012 and it varies with skills and experience.

DMachine Learning on AWS SageMaker course Projects in India

ML on AWS Projects

AWS is emerging rapidly and helping thousands of customers among various sectors, which is helping industries to build, train, and deploy high-quality Machine Learning models. Specifically in Automation, Manufacturing, and BFSI sectors.

Role of Open Source Tools in Machine Learning on AWS SageMaker course in India

Role of open source tools

TensorFlow, Keras, PyTorch, Apache MXNet are some of the open-source tools that work efficiently and effectively. And professionals should have strong knowledge of these tools.

Modes of Training for Machine Learning on AWS SageMaker course on in India

Mode of training for ML on AWS

360DigiTMG offers Interactive Live online training using advanced technologies to make the training process more efficient.

Industry Application of  Machine Learning on AWS SageMaker in India

Industrial Applications of ML on AWS

ML on AWS is extensively used in many varied sectors that include Robotics, Automation, Manufacturing, Finance, Retail, Healthcare, News and Media, Sports, and many more.

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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