Introduction to AI with Great Learning

Artificial Intelligence on Cloud

The course is designed for people who want to know about the usage of machine learning and AI using cloud APIs. This is a completely non-technical course. This is an exclusive course offered only to the students of Stanford Advanced Computer Security program.

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

Great Learning business analytics academic Director Dr.Abhinanda Sarkar

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

How soon after signing up would I get access to the Learning Content?

The course content access will be provided to you 4 months after you enroll in the course.

For what duration will I have access to the course?

The course will be available to you for a lifetime. You can revisit the course content anytime you want.

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.

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.