No longer is enterprise cloud teams content with managing their more complex GPU infrastructure, purely to run Large Language Models. Amazon Bedrock eliminates that constraint by providing a single, serverless API to access the best foundation models, integrate proprietary business information and launch stand-alone AI agents within a secure AWS environment. GoLogica AWS Bedrock Online Training starts with actual hands-on work in cloud AI engineering with Python (Boto3) and AWS native services. The curriculum starts by selecting models and prompt engineering using Anthropic Claude, Amazon Nova and Meta Llama, and continues with integration of those models to enterprise data using Bedrock Knowledge Bases and Amazon OpenSearch Serverless for Retrieval-Augmented Generation (RAG). You will create visual multi-step pipelines with Amazon Bedrock Flows as you progress toward production architecture and use Bedrock Guardrails to prevent hallucinations, avoid restricted topics, and redact sensitive PII data. You will also directly interact with Amazon Bedrock AgentCore, and configure Runtime, Gateway, Memory, Identity, and AWS Lambda action groups to deploy agents to execute live business transactions. This instructor-led course focuses on how to create deployable end-to-end solutions using cloud services, such as serverless customer support resolvers and internal policy search engines, and is designed for AWS cloud engineers, solutions architects, Python programmers, and IT graduates who have basic knowledge of AWS. Those who take AWS Bedrock Certification Training also receive focused training for AWS AI certifications. Embrace Generative AI on your cloud career, reach out to GoLogica to get the entire AWS Bedrock course guide, lab description and next batch timing.

AWS Bedrock Online Training 2026 | GenAI, RAG & AgentCore