Certificate Course in
Best ML on Cloud & Auto ML Course Training in Singapore
- 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
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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.
ML on Cloud
Total Duration
1 Month
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 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!
+60 19-383 1378Cloud 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
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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
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
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"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
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"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
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"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
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"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
Our Alumni Work At
And more...
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 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 Rs 6,16, 231 to Rs 8, 20,117 in Singapore.
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 Singapore 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 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
Sana Ahsan
3 years agoI still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
Suriyaa Kumar
3 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
3 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
3 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
2 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
