Certificate Course in ML on Cloud & Auto ML
- Get Trained by Trainers from ISB, IIT & IIM
- 24 Hours of Interactive Online Sessions
- Aligned with AWS Machine Learning Certification
- Aligned with Microsoft Machine Learning Certification
- Aligned with Google Cloud Machine Learning Certification
- 12 Hours of Complementary Machine Learning Algorithms
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2986 Learners
Academic Partners & International Accreditations
The Machine Learning on Cloud course is designed to equip you with the necessary skills needed in this field. Even as we speak, technology is advancing making its way into the domain of Machine Learning which is a part of Artificial Intelligence. Recently machine learning in the cloud has been a boon for businesses and provides many benefits like the pay-per-use model where you pay only for space used resulting in no wasted resources and helping companies cut down on costs. With Google Cloud Platform, Microsoft Azure, and AWS companies now don’t have to worry about having a data science proficient team because now the artificial intelligence features can be functional without requiring any deep or hardcore knowledge. As businesses adopt both machine learning and cloud together, they will need individuals who know both the worlds and can provide value to the organization. The Machine Learning on Cloud Certification course will be a step towards your career growth.
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, Google Cloud, and IBM Watson.
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 Machine Learning 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.
Block Your Time
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
Trends in Machine Learning on Cloud
Organizations today are focusing on machine learning and artificial intelligence areas. AI and Machine Learning with Cloud Computing turn out to be more cost-effective and increase production too. It is believed that AI and ML will be the reason for cloud adoption in the future. Machine Learning basically can be enhanced when coupled with cloud technology and we will see continuous growth of a hybrid cloud environment. The other trend we will see will be the significance of retaining compliance in an increasingly complex environment to protect vital information from getting hacked. With small and large organizations using more and more cloud services without any control over the costs. This scenario will have to change and businesses will have to make it a priority to control cloud costs.
The global cloud computing market is predicted to go over $651 by 2025 and close to 80% of businesses are forecasted to migrate to the cloud. From eliminating the hassles of maintaining hardware to providing stability and security, a cloud-powered future is starting to shape. As businesses and cloud providers realize the potential of Machine learning in the cloud and how machine learning makes cloud computing more efficient and scalable, it will only spur the demand for Cloud Machine Learning Platforms. So, if you want to gain skills in this in-demand and influential field, join the course in Machine Learning on Cloud.
How we prepare you
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Additional Assignments of over 60+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 Support
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Job Placements in Data Science fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in Live Projects
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Offline Hiring Events
Call us Today!
+91 9989994319Cloud Machine Learning Panel of Coaches
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
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
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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
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.
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Alumni Speak
"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
"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
"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
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"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
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"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
Our Alumni Work At
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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 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 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 ?6,16, 231 to ?8, 20,117 in India.
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 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
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 online learning. We also support e-learning as part of our curriculum.
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.
Student Voices
Sharvin Rao
2 years agoVery good exposure. Satisfied with this program. Teaching materials are complete and does not require any programming background to learn this course
Priya Gopal
2 years agoVery experienced trainer and have patience to deal with every query raised in the classroom.
Lavaniya Rajesveran
2 years agoGreat place to learn about Data Science . Trainers are knowlegable and shared lots of new terms which was easily understandable.
Nivethitha Sivaraj
2 years agoThe course I selected was Data science using Python and R. Beginning it feels quite easy but days pass by we can feel the depth of the subject. Trainers doing their awesome job. I would seriously recommend for the people who are looking for a career uplift and even for freshers. Apart from trainers it’s our job to practice and practice to make it more perfect.
Gaurav Joshi
3 years agoData Science is aptly designed to cover most of the aspects of Data Science using R and Python. Anyone who is unsure of how to step in and explore the world of Data Science should join this course. Kudos to 360DigiTMG team to come up with such an elaborated program and helping students to put a confident foot forward in Data Science space.
Anita Nook Naidu
3 years agoVery good lecturers. Good training. Plenty of guidance provided. worth the money.
