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Best ML on Cloud & Auto ML Course Training in Bangalore

Build, train and deploy Machine Learning models using Cloud. Advance your career in this in-demand and powerful field with certification in Machine Learning on Cloud.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 24 Hours of Interactive Online Sessions
  • 60+ Hours of Practical Assignments
  • 2 Capstone Live Projects
  • AWS Certified Speciality Machine Learning Certification
machine learning on Cloud course reviews in Bangalore- 360digitmg
493 Reviews
machine learning on Cloud course reviews in Bangalore- 360digitmg
2986 Learners
Academic Partners & International Accreditations
  • MLOps course with Microsoft
  • MLOps course with Nasscomm
  • MLOps course with Innodatatics
  • MLOps Certification Course with SUNY
  • MLOps Course with NEF

ML on Cloud

machine learning on aws course duration in Bangalore- 360digitmg

Total Duration

1 Month

machine learning on aws course pre-requisites in Bangalore- 360digitmg

Prerequisites

  • Traditional ML Algorithms & DL Algorithms
  • Programming Knowledge
  • No cloud knowledge is needed

Machine Learning on Cloud Training Overview

Learn to install Machine Learning models on the cloud in the most comprehensive program. Learn the various ML algorithms to handle large data and to derive patterns and predict results. Explore how Machine Learning models are designed, deployed, configured, and managed on the various cloud platforms. You will also learn about the various benefits of Machine learning on the cloud and also draw a comparison of machine learning services on various cloud platforms like AWS, Azure, and Google Cloud.

The course commences with an introduction to AWS and Amazon SageMaker. Learn the various benefits of Amazon SageMaker and explore all ML Algorithms in-built in SageMaker. In this course, you will also learn about Cloud computing in Azure and how its UI-based interface and predefined algorithms help in building training models. Learn ML model handling using AutoML or advanced model optimization and infuse cutting-edge AI technologies into your applications via tools like TensorFlow and TPUs while learning Google Cloud Platform. Also, explore the features of IBM Watson's cognitive computing technology. This course is designed for Data Science Enthusiasts, Statisticians, Cloud engineers, Software and IT engineers, Software Architects, etc.

Machine Learning on Cloud Learning Outcomes

Machine learning focuses on developing applications that learn from data and improves its efficiency. This course will equip students to give end-to-end packaged ML solutions for any organization. Students will learn to apply a machine-learning algorithm to categorize data and make appropriate predictions. This course prepares you to work in large organizations to meet the ML needs of the organizations. Students will also learn about machine learning and cloud computing capabilities that help resolve IT problems and how it can analyze large amounts of data with speed and agility in performance. Students will learn about AWS & Amazon SageMaker and how to handle Machine Learning Models along with working on ML frameworks available in SageMaker. In this course, you will also learn about the machine learning services provided by Microsoft Azure and how to manage data in the cloud, and how to automate the end-to-end machine learning process in the cloud. Students will also explore Google Cloud and Machine Learning wherein they will learn about the various Algorithms and Services available in GCP and how one can compute, store, and process data on Google Cloud Platform (GCP). So, if you want to soar in your career as an ML Cloud engineer join the course on Machine Learning on Cloud.

Examine the various Machine learning offering provided by various cloud services
Learn about the application and benefits of AWS, GCP, IBM Watson and Azure cloud platforms
Understand how to develop, train and deploy ML models on Cloud
Apply the various Machine Learning Algorithms to segregate data and make predictions
Explore hoe to compute, store and process data on various cloud Platforms

Block Your Time

machine learning on Cloud course in Hyderabad- 360digitmg

24 hours

Live Sessions

machine learning on Cloud course in Hyderabad- 360digitmg

60 hours

Assignments

machine learning on Cloud course in Hyderabad- 360digitmg

60 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.)

Machine Learning on Cloud Modules

Machine Learning on Cloud is a unique program that helps you learn about machine learning capabilities in the cloud. With the adoption of cloud computing, many companies have realized that the ‘One cloud fit all’ approach doesn’t work anymore. Therefore, this course includes concepts of Machine Learning across various platforms. The course commences with the module on the introduction of AWS cloud and benefits of Amazon SageMaker and how it facilitates the building, training, and deploying of machine learning models at any scale. Then the students will learn about the Microsoft Azure Machine Learning Services and then further students will be introduced to Google Cloud Platform followed by features of cognitive computing and IBM Watson. Join this certification program if you aspire to learn the fundamentals of Machine Learning on the Cloud.

  • Introduction to Cloud Computing
  • The ML development Life Cycle
  • Automated ML
  • How automated ML works
  • Democratization of Data Science
  • Debunking automated ML myths
  • Automated ML Ecosystem
  • Automated Feature Engineering
  • Automated Model Selection and Hyperparameter Tuning
  • Automated Neural Network Architecture Selection
  • Automated Model choosing and Hyperparameter Optimization
  • Automated ML Challenges and Limitations
  • AutoML and AutoAI
  • Four levels of Automation
    • Basic Automation
    • Process Automation
    • Integration Automation
    • AI Automation
  • AutoML with Open Sources
  • TPOT – Tree-based Pipeline Optimization Tool
  • AutoML - AutoKeras
  • AutoML with Cloud Platforms
  • Amazon SageMaker
  • Notebook instances
  • Amazon SageMaker Studio
  • Amazon SageMaker - Training
  • Amazon SageMaker - Deploying
  • Amazon SageMaker - Autopilot
  • AWS ML Services
  • Rekognition
  • Polly
  • Transcribe
  • Comprehend
  • Translate
  • Textract
  • Amazon Lex
  • Introduction to Microsoft Azure ML Services
  • Pipeline Building for ML Solutions
  • Varied Machine Learning Microsoft Azure Services
  • Azure GUIs and Workspace
  • AML Studio
  • Creating your first AMLS workspace
  • Building compute to run your AutoML jobs
  • Working with data in AMLS
  • Understanding how AutoML works on Azure
  • Feature Engineering on Azure
  • Feature Extraction after Data Pre-processing
  • Building ML Pipeline Workflows using Designer
  • Building ML Models on Automated ML
  • Hyperparameter Tuning in Azure
  • Model Deployment on Azure
  • Real-Time vs Batch Scoring Services
  • Constant Real-Time Monitoring of Model Deployments
  • Introduction to GCP
  • Primer to Machine Learning in GCP
  • Services Available in GCP
  • Compute, Storage and Processing in GCP
  • Building ML Pipeline in GCP
  • Building XGBoost in GCP
  • Using Pretrained Models in GCP
  • NLP for Document Classification using AutoML NLP
  • AutoML Vision APIs for Handling Image AI Problems
  • Building a Big Data Cloud ML Engine
  • Batch Processing and Real-Time Prediction using Cloud ML Engine
  • Compute & Monitoring Options for Training the Model Jobs
  • Model Versioning of Saved Models
  • Model Deployment on GCP
  • Prediction with Service Endpoints
  • Usage of Google Cloud DialogFlow & Google Cloud Dataproc
  • IBM Watson Studio
  • IBM Watson Machine Learning architecture and services
  • Data Preparation
  • Analyzing data and building models
  • Evaluate models
  • Deploying and managing models with Watson Machine Learning
  • Defining XAI
  • The key features of XAI
  • Executive function XAI
  • Different forms and methods of XAI - Pre, During, Post
  • XAI timeline from conception to production
  • AI accountability
Tools Covered
Machine Learning on Cloud course with amazon sage maker in Bangalore
Machine Learning on Cloud course with microsoft azure in Bangalore
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How we prepare you
  • Machine Learning on Cloud course with placements in Bangalore
    Additional Assignments of over 60+ hours
  • Machine Learning on Cloud course with placements training in Bangalore
    Live Free Webinars
  • Machine Learning on Cloud training institute with placements in Bangalore
    Resume and LinkedIn Review Sessions
  • Machine Learning on Cloud course with certification in Bangalore
    Lifetime LMS Access
  • Machine Learning on Cloud course with USP in Bangalore
    24/7 Support
  • Machine Learning on Cloud certification with USP in Bangalore
    Job Placements in Data Science fields
  • best Machine Learning on Cloud course with USP in Bangalore
    Complimentary Courses
  • best Machine Learning on Cloud course with USP in Bangalore
    Unlimited Mock Interview and Quiz Session
  • best Machine Learning on Cloud training with placements in Bangalore
    Hands-on Experience in Live Projects
  • Machine Learning on Cloud course in Bangalore
    Offline Hiring Events

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Cloud Machine Learning Panel of Coaches

data scientist trainers

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 >
 
data scientist trainers

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization
  • 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 >
 
data scientist trainers

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 cloud certification - 360digitmg

Certificate

Get validation of your advanced skills and knowledge with the Machine Learning on Cloud certificate. Join the growing community of developers and data scientists trained on Cloud.

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 on Cloud Machine Learning Certification

No, one does not need any specific qualification but a background in math or programming will come in handy.

Yes, you will receive a completion certificate from 360DigiTMG and it holds immense value in the market.

Yes, we have our own LMS called AISPRY, it has all the valuable learning material accessible to our students at any time.

Yes, to ensure the concepts are crystal clear to the students we have individual as well as group assignments under the guidance of a mentor who helps students at every stage of the project.

Yes, we have the provision of easy monthly installments where can have to pay a fixed amount every month.

Yes, we provide 100% job assistance and also help you with your resume building and conduct several mock sessions for interview preparations.

Yes, we have interactive live online classes to facilitate the needs of students as well as working professionals.

Jobs in the field of Machine Learning on Cloud in Bangalore

Jobs in the field of Cloud Computing

Cloud computing is growing rapidly and the various profiles in the field include that of a Cloud Architect, Cloud Engineer, Cloud Administrator, Cloud Network Engineer, etc.

Salaries in Bangalore for Cloud

Salaries of a Cloud Engineer

The cloud market is booming with companies adopting cloud technology to store and operate data. An engineer working in the cloud computing space gets an average salary ranging between Rs 6,16, 231 to Rs 8, 20,117 in Bangalore.

Machine Learning on Cloud Course Projects in Bangalore in Bangalore

Cloud Computing Projects

Projects help us enhance our skills and prepare us for industry-ready roles. The various projects that students can do in the space of cloud computing can include developing a Bug tracking system, Chatbots, Uber Data Analysis, etc.

Role of Open Source Tools in machine learning on Cloud Course in Bangalore

Role of Open Source Tools in Cloud

Open source tools help in the overall management of the Cloud which includes building, managing, and tracking cloud services, networks, and infrastructure.

Modes of Training for Machine Learning on Cloud course with Python in Bangalore

Modes of Training for Machine Learning on Cloud

The course in Hyderabad 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 Cloud Course in Bangalore

Industry Application of Cloud Computing

Cloud computing has been a revolution in the digital space and is being used by various businesses to store and access huge amounts of data. Education, Banking, Healthcare, Retail, Automotive, Entertainment, etc. are the various industries leveraging the benefits of Cloud Computing.

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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