At Ameya Edge, we harness the power of AI to drive business innovation and reshape education for a smarter tomorrow. Our solutions help businesses make smarter, faster decisions to streamline operations, boost productivity & improve customer experiences.
HOME
Amazon Bedrock / Sagemaker AI Associate
Master the dual pillars of AWS Intelligence with Ameya’s Amazon Bedrock & SageMaker AI training. As the AI landscape diverges into “Model Consumption” and “Model Building,” this course prepares you for both. We dive into Amazon Bedrock for rapid Generative AI deployment using world-class foundation models (Claude, Titan, Llama 3), and Amazon SageMaker AI for high-performance, custom machine learning workflows. Whether you need to build a RAG-powered chatbot in minutes or train a proprietary model from scratch, this program provides the technical blueprint for success on AWS.
Our Training Services — AWS AI Ecosystem Mastery
An end-to-end curriculum covering both the serverless ease of Amazon Bedrock and the infrastructure control of Amazon SageMaker, mapped to the most in-demand enterprise AI workloads on AWS.
Learn to use a single API to access nearly 100 Foundation Models (FMs) without managing any underlying infrastructure while leveraging model invocation logging for comprehensive auditability.
Deep dive into the IDE for ML — covering data labeling (Ground Truth), notebook instances, and distributed training to streamline the entire machine learning lifecycle from data prep to model deployment.
Build production-ready Knowledge Bases for Bedrock using vector stores like OpenSearch and Aurora to ensure your generative applications are always synced with your most recent enterprise data.
Learn the nuances of Supervised Fine-Tuning on Bedrock vs. full parameter training on SageMaker to determine the most cost-effective path for tailoring models to your proprietary datasets.
Implement Agents for Amazon Bedrock to execute multi-step business tasks by connecting LLMs to your company’s APIs — enabling autonomous systems to perform actions like order processing or lead qualification.
Use Bedrock Guardrails and SageMaker Model Monitor to ensure safety, PII redaction, and drift detection — maintaining high standards of model compliance and operational reliability.
Our Training Process — The AWS Builder’s Path
A structured learning path that takes you from architectural decision-making to production-grade deployment on AWS.
We start by teaching you how to choose between the serverless ease of Bedrock and the infrastructure control of SageMaker — ensuring your architectural decisions align with your team’s technical depth and budget.
Hands-on setup of VPC endpoints, IAM roles, and PrivateLink to ensure your AI workloads meet enterprise security standards — protecting your data traffic from exposure to the public internet.
Intensive labs on the Converse API, managing token quotas, and optimizing request latency to build high-performance applications that scale seamlessly with user demand.
Transitioning to SageMaker to learn about Spot Instance Training (reducing costs by up to 90%) and multi-node GPU scaling — to handle large-scale model training without breaking the bank.
Building automated CI/CD pipelines for models using SageMaker Pipelines and AWS CodePipeline — enabling rapid, reliable, and repeatable model deployments across multiple environments.
Using Bedrock Evaluations (LLM-as-a-judge) to programmatically score your AI’s accuracy and helpfulness — to maintain a consistent quality bar as models and prompts evolve.
Why Choose Ameya for AWS AI?
Precision Engineering on the Cloud — your strategic partner for production-grade AWS AI.
We don’t just teach the console; we teach the Well-Architected Framework for AI, ensuring your solutions are cost-effective and secure from the very first line of code.
Because Bedrock offers models from Anthropic, Meta, and Mistral, we teach you how to benchmark and switch between them seamlessly — to always use the best-in-class model for your specific use case.
AWS costs can spiral — we specialize in teaching “Lean AI” techniques, from Model Distillation to SageMaker’s automated scaling — to maximize your ROI on every dollar spent on compute.
We go beyond simple chat. Our instructors show you how to build autonomous agents that actually do work within your AWS environment — integrating seamlessly with Lambda and S3.
We prioritize teaching you how to keep your data within your VPC, ensuring your proprietary information never trains a public model — providing total peace of mind for your data privacy officers.
Our support extends to post-training consulting, helping you architect and review your first production AI workloads on AWS — to ensure they meet the highest standards of reliability and scale.
Scale your intelligence with Ameya’s expert-led Amazon Bedrock and SageMaker AI training.
