Getting started with AWS for Machine Learning and Generative AI - RACE

Free Webinar on

Getting started with

AWS for Machine Learning
and Generative AI

Friday, 30th May 2025
06.30 PM to 07.30 PM (IST)

Join us for a hands-on, beginner-friendly session designed to kickstart your journey into the world of Machine Learning and Generative AI using AWS. Discover how you can leverage Amazon SageMaker and Amazon Bedrock to build powerful AI solutions with Large Language Models (LLMs), intelligent agents, and Model Context Protocol (MCP). Whether you’re a developer, data enthusiast, or business decision-maker, this session will guide you through real-world examples, key tools, and practical steps to build your first ML and GenAI workflows on AWS.

Secure Your Spot Now

Who Can Attend:

Tech professional

Tech professionals
and developers new
to AWS ML/AI

Data scientist

Data scientists
exploring
GenAI tools

Product manager

Product managers
and startup teams
building AI features

Industry Experts

Students and
educators in AI/ML
disciplines

Business leader

Business leaders
curious about Gen AI
on cloud platforms

Key Takeaways:

Understand the role of Amazon SageMaker in ML lifecycle management

Discover quick-start templates and workflows to launch your first AI solution

Workshop on Understanding and Implementation of CNAAP

Explore how Amazon Bedrock enables easy access to foundation models

Get insights into future trends in AI cloud integration

Learn what LLMs, Agents, and MCP mean in an AWS context

Tools & Services Covered:

sage maker

Amazon SageMaker
(for ML model training, tuning, deployment)

bedrock

Amazon Bedrock
(for generative AI and foundation models access)

LLM AWS

LLMs on AWS
(e.g., Anthropic Claude, Mistral, Meta Llama)

Agents for Bedrock

Agents for Bedrock
(to automate multi-step tasks using natural language)

MCP (1)

Model Context Protocol
(MCP)

Mentor Profile

Bismillah Kani

Staff AI/ML Scientist at Baker Hughes and
Mentor at RACE, REVA University

Bismillah Kani is a Staff AI/ML Scientist at Baker Hughes, with expertise in computer vision, MLOps, and AWS cloud services. He has been part of the AWS Community Builders program in Machine Learning and is passionate about applying AI to solve real-world challenges and helping teams adopt scalable, cloud-native ML solutions. Kani is a mentor with RACE, REVA University. 

Register Now to Secure your Spot

Join the session and get personalized insights!

Fill out the form and share your questions to make the most of this exclusive opportunity.

We look forward to seeing you on Friday, 30th May 2025!

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