Mastering Agentic Workflows: Build Intelligent Agents, RAG Pipelines, and Guardrails to Pass the AWS GenAI Professional
Sub Category
- IT Certifications
{inAds}
Objectives
- Architect and deploy GenAI applications using Amazon Bedrock to invoke, stream, and manage Foundation Models like Claude, Llama, and Amazon Titan.
- Build advanced RAG pipelines by integrating Knowledge Bases for Bedrock with vector stores like OpenSearch Serverless and Aurora pgvector for dynamic context.
- Develop autonomous AI Agents that utilize Action Groups and Lambda functions to execute real-world tasks and orchestrate multi-step business workflows.
- Implement Responsible AI governance using Bedrock Guardrails to filter PII and toxic content, while optimizing model performance and infrastructure costs.
Pre Requisites
- Cloud Architecture (2+ Years): You should have significant experience building production-grade applications on AWS. Knowledge of core services like Amazon S3, AWS Lambda, Amazon EC2, and VPC is critical. Programming Proficiency: Professional-level skill in Python is required. You must be comfortable using the AWS SDK (Boto3) and common AI frameworks (like LangChain or LlamaIndex) to script model interactions. Identity & Security: Deep understanding of AWS IAM (policies, roles, and service-linked roles) is essential, as securing AI workloads is a major exam domain.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)