Available courses

AWS Certified Machine Learning – Specialty

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The AWS Certified Machine Learning – Specialty (MLS-C01) exam is intended for individuals who perform an artificial intelligence/machine learning (AI/ML) development or data science role. The exam validates a candidate’s ability to design, build, deploy, optimize, train, tune, and maintain ML solutions for given business problems by using the AWS Cloud.


The exam also validates a candidate’s ability to complete the following tasks:

  • Select and justify the appropriate ML approach for a given business problem
  • Identify appropriate AWS services to implement ML solutions
  • Design and implement scalable, cost-optimized, reliable, and secure ML solutions


AWS Certified Developer – Associate

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The AWS Certified Developer – Associate (DVA-C01) exam is intended for individuals who perform a developer role. The exam validates a candidate’s ability to do the following:

  • Demonstrate an understanding of core AWS services, uses, and basic AWS architecture best practices
  • Demonstrate proficiency in developing, deploying, and debugging cloud-based applications by using AWS


AWS Certified Solutions Architect – Associate

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The AWS Certified Solutions Architect – Associate (SAA-C02) exam is intended for individuals who perform in a solutions architect role. The exam validates a candidate’s ability to design secure and robust solutions by using AWS technologies.


The exam also validates a candidate’s ability to complete the following tasks:

  1. Design a solution by using appropriate AWS services and by following architectural principles based on requirements
  2. Provide implementation guidance based on best practices to the organization throughout the workload lifecycle



AWS Academy Cloud Foundations

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The AWS Certified Cloud Practitioner (CLF-C01) exam is intended for individuals who can effectively demonstrate an overall knowledge of the AWS Cloud independent of a specific job role. The exam validates a candidate’s ability to complete the following tasks:

  • Explain the value of the AWS Cloud
  • Understand and explain the AWS shared responsibility model
  • Understand security best practices
  • Understand AWS Cloud costs, economics, and dddbilling practices
  • Describe and position the core AWS services, including compute, network, databases, and storage
  • Identify AWS services for common use cases


AI for Medical Application

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This course helps to  diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This course is useful in applying machine learning to concrete problems in medicine.

If you're already familiar with some of the math and coding behind AI algorithms, and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you. No prior medical expertise is required!

Data Science for Banking and Financial Industry

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Starting AI Career with Python

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