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From the world's largest enterprises to emerging start-ups, more machine learning is built on AWS than anywhere else. AWS offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner, accelerating their machine learning journey to transform their business.

Join us for ML Fridays, a series of virtual events and workshops that will dive deep into business use cases, architectural, deployment best practices, customer journeys and much more. Whether you have a specific business outcome in mind or you are just exploring, you can accelerate your machine learning journey.

Business and technical sessions

We understand that customers are at different stages in their AI and ML solution adoption journey and as such we’ve differentiated sessions each friday to cater to different learning needs.

Why Attend?

  • Get expert tips to improve business outcomes with ML
  • Hear from industry leaders how they solve the most common business challenges with practical machine learning
  • Move beyond the hype and learn from AWS AI/ML experts and customers who have successfully applied machine learning to achieve fast, efficient, measurable results

Accelerate innovation, scale effortlessly, and unlock new possibilities with machine learning on AWS.

Join us for the ML Fridays series of virtual events.

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Click on the webinar titles to know more :


Data lives everywhere, scattered across many systems and content repositories. If you manage to consolidate all these information silos to build a single index for search, you are still confined by the limitations of keyword search tools. Such solutions require users to convert a question into the best possible keyword combination, creating friction in the user experience.

In this session, we will discuss how Amazon Kendra combines previously siloed data sources seamlessly into a single source of truth and allows users to pose natural language questions instead of keyword combinations to retrieve search results faster and more accurately.

Date: Friday, 18 March 2022
Time: 11:00 am - 12:00 pm IST
Venue:Online webinar


In machine learning applications, model inference costs are often critical to manage as business requirements expand. Minimizing inference costs, without compromising on performance, is essential to improve ROI and sustain a competitive edge in the market. AWS offers a wide variety of instances, based on CPUs as well as accelerators, and tools optimized for different machine learning use cases.

AWS Inferentia is designed to provide high performance inference in the cloud, to drive down the total cost of inference, and to make it easy for developers to integrate machine learning into their business applications. In this session, we will discuss strategies to optimize performance and cost of inference, for deep learning models, with AWS Inferentia.

Date: Friday, 25 March 2022
Time: 11:00 am - 12:00 pm IST
Venue:Online webinar


Meesho is India's largest marketplace for longtail/unbranded products. At Meesho, they have a lot of products with short life spans and it is important for them to react to key metrics associated with product performance and manage their inventory optimally. By using Amazon Forecast, Meesho were able to predict the demand forecasting of products weekly and daily with an increase in forecasting accuracy of 20% in comparison to their existing solution.

In this session, we will talk about how Meesho built an automated system using Amazon Forecast to improve forecasting accuracy on their increasing assortment of products.

Date: Friday, 1 April 2022
Time: 11:00 am - 12:00 pm IST
Venue:Online webinar


Learn how HDFC Ltd., India's largest mortgage lender used AWS AI & machine learning to classify inbound email communication which helped them to respond faster and in turn improve customer experience.

Date:Friday, 08 April 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar


Paytm Mall is a leading eCommerce company with 34 Million monthly active users on the platform. The company is on a mission to bring half a billion Indians to mainstream economy through payments, commerce, banking, investments and financials.

In this session, we will cover the use case of increasing customer engagement for Paytm Mall by personalizing the user experience.

Date:Friday, 15 April 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar


Why content moderation is business critical? The daily volume of user generated content (UGC) and third-party content has been increasing substantially in industries such as social media, social gaming, video distribution & streaming, online forums, dating & matrimonial, and photo sharing websites.

In turn, customers need to review audio, image, video, and text content to ensure that their end-users are not exposed to potentially inappropriate or offensive material.

In this session we will explore how customers are leveraging our suite of services such as Amazon Rekognition to build content moderation solutions.

Date:Friday, 22 April 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar


In this session we will explore the:

  1. Building blocks of MLOps
  2. How to use the CI/CD and workflow automation tools you have running in your environment and supplement them with Amazon SageMaker
  3. How to use other AWS tools for CI/CD and workflow automation and integration with Amazon SageMaker
  4. How to build the entire end to end MLOps lifecycle faster with Amazon SageMaker native tools
  5. Hear it from Games24x7 on how they streamline ML lifecycle using Amazon SageMaker


Date:Friday, 29 April 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar


Fraud is an ongoing problem that can cost businesses billions of dollars annually and damage customer trust. Many companies use rule-based approaches to detect fraudulent activity where fraud patterns are defined as rules. But, implementing and maintaining rules can be a complex, time-consuming process because fraud is constantly evolving, rules require fraud patterns to be known, and rules can lead to false positives or false negatives.

Machine learning (ML) provides a much more flexible approach to fraud detection. ML models do not use pre-defined rules to determine whether activity is fraudulent. Instead, ML models are trained to recognize fraud patterns in datasets, and the models are self-learning which enables them to adapt to new, unknown fraud patterns.

Key Takeaways:

  1. Learn about different supervised and unsupervised methods to build fraud models.
  2. Train models on Amazon SageMaker using different algorithms like XGBoost, Random cut forest, Autoencoders
  3. Deploy models using Amazon SageMaker
Date:Friday, 06 May 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar


Amazon SageMaker is a fully managed machine learning (ML) service, that allows data scientists and developers to build, train, and deploy ML models for any use case, with fully managed infrastructure, tools, and workflows.

In this session, we will cover various Amazon SageMaker features with focus on its deployment capabilities. Amazon SageMaker provides multiple features to manage resources and optimize inference performance when deploying machine learning models. We will see how these features can be leveraged to deploy and manage machine learning models at scale.

Date:Friday, 13 May 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar


Amazon SageMaker Ground Truth Plus helps easily create high quality machine learning training datasets without having to build labeling applications and manage labeling workforce.

In this session, learn how you can use Amazon SageMaker Ground Truth Plus to improve data labeling quality and reduce overall costs. In addition, learn how Amazon SageMaker Ground Truth Plus provides transparency into data labeling operations and quality management.

Date:Friday, 20 May 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar


Organisations are looking for ways to extract data from images and videos. Storing and manual cataloging of such media is expensive, error-prone, and hard to scale. Computer vision technology enables digital media professionals to generate valuable insights at a quick pace and at a lower cost by automatically identifying the contents of images and video.

In this session, learn how you can integrate artificial intelligence into your media workflows with Amazon Rekognition, a deep learning-based image and video analysis service. We will dive deeper into a public safety solution. We will also cover different use cases in applications such as security, identity verification, and media and entertainment.

Date:Friday, 03 June 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar


With Amazon SageMaker, you have the flexibility to bring in your own model and leverage the capabilities of the service. Script mode enables you to write custom training and inference code while still utilizing common ML framework containers maintained by AWS. Script mode is easy to use and extremely flexible.

In this session, we discuss use cases for using script mode, and how script mode can accelerate your algorithm development and testing while simultaneously decreasing the amount of time, effort, and resources required to bring your custom algorithm to the cloud. Amazon SageMaker script mode is flexible so you’ll also be seeing examples of how to include your own dependencies, in your training and inference at scale.

Date:Friday, 10 June 2022
Time:11:00 am - 12:00 pm IST
Venue:Online webinar

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