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5 to 6 hours of self-paced content
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No coding knowledge required
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3+ real-world AI projects on cloud
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Course completion certificate
₹ 20,000
₹ 20,000
Introduction to AI with Great Learning
Artificial Intelligence on Cloud
The course is designed for people who want to understand the usage of Cloud APIs for machine learning and AI. This course does not require any prior experience in AI or Machine learning.
About the course
Using AI solutions to solve real-world problems can be a daunting task considering the number of resources and technical expertise required to build complex AI models. Fortunately, these days, cloud-based services like Amazon, Microsoft, etc. have come up with innovative solutions to facilitate AI endeavors to solve real-world problems.
The "AI on cloud" course is specifically designed for professionals who want an understanding of how we can use cloud platforms to solve a variety of AI problems. The course focuses on conceptual and 'real-world case' based approach which helps to simulate working scenarios where cloud services can be adapted to solve AI based problems.
Skills used in the course
- Common terminologies in AI & cloud
- Amazon Rekognition
- AWS Sagemaker
- Model deployment on cloud
- Amazon Lex
Course Syllabus
Module 1
Introduction to AI & Cloud
Module 2
Why Cloud and its benefits
Module 3
AI Services Landscape on Cloud
Module 4
Machine Learning on Cloud
Module 5
Computer Vision on Cloud
Module 6
NLP on Cloud
Module 7
Deploying AI models on the cloud
Learn from the best faculty
Dr. Abhinanda Sarkar
PHD (Stanford University)
Academic Director, Great Learning
Dr. Sarkar has an M.Stat. from the Indian Statistical Institute (ISI) and a PHD in Statistics from Stanford University. He has worked in organisations such as Massachusetts Institute of Technology (MIT) and IBM Research, General Electric(GE).
His publications, patents, and technical leadership have been in applying probabilistic models, statistical data analysis, and machine learning to diverse areas such as experimental physics, computer vision, text mining, wireless networks, e-commerce, credit risk, retail finance, computational marketing.
Mr. Nirmallya Mukherjee
EPBM (IIM Calcutta)
Former Chief Architect, Dell
Mr. Nirmallya Mukherjee has over two and half decades of cross domain experience in IT and ITES across both services and products, Nirmallya Mukherjee has served as Chief Architect at Dell, Principal Architect at Infosys and Technical Architect at Ciber Inc, an HTC Global Services company.
He lends his expertise to various multinationals like Cisco, Walmart Labs, Amadeus, Mercedes Benz, ANZ, Societe Generale etc. through his consulting, development and training engagements. Nirmallya is also the Academic Director for the Graduate Certificate in Cloud Computing program.
Course certificate
Get Introduction to AI on cloud certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
FAQ's
What will be the mode of training for this course?
This course will be completely online and will provide you with access to high-quality content videos, case studies, and real-life projects. There will be a discussion forum where our GL Gurus will be available for answering your queries.
For what duration will I have access to the course?
The course will be available to you for 3 years after completion of PGP Cloud Computing. You can revisit the course content anytime you want during this period.
Whom can I contact if I have queries regarding the course?
Once you enroll, you will have access to a course discussion forum where you can post all your queries and they will be answered by GL Gurus.
When will I get access to this course?
The course access will be provided after 5 months of enrollment into PGP Cloud Computing once they have covered both "Managed services on AWS" and "Microservices".