🎓 Authorised Pearson VUE and Prometric Test Centre · CIET Country Director for Syria · training in Mazzeh since 2010·Exams we deliver →
Home/Courses/Amazon Web Services (AWS)/Developing Generative AI Applications on AWS
Amazon Web Services (AWS)

Developing Generative AI Applications on AWS

Develop generative AI applications with Amazon Bedrock.

2 daysIntermediate10 modules
Overview

About this course

Develop generative AI applications with Amazon Bedrock. You will invoke foundation models through the APIs, apply prompt engineering, ground answers with RAG, integrate open-source frameworks and develop agentic features.

What you'll learn

What you'll learn

  • Develop generative AI applications using Amazon Bedrock.
  • Design architecture patterns of generative AI applications.
  • Configure Amazon Bedrock APIs to invoke foundation models (FMs) programmatically.
  • Develop agentic AI applications by integrating Amazon Bedrock tools and open source frameworks.
  • Build custom solutions with Retrieval Augmented Generation (RAG) and Amazon Bedrock Knowledge Bases.
  • Integrate open source SDKs with Amazon Bedrock to build business.
  • Optimize model responses by applying prompt engineering techniques.
  • Evaluate generative AI application components.
  • Implement responsible AI practices to protect generative AI
Curriculum

Curriculum

10 modules
  • Understanding generative AI concepts
  • Identifying AWS generative AI stack components
  • Designing generative AI application components
  • Guiding model response generation
  • Using Amazon Bedrock programmatically
  • Introducing prompt engineering
  • Introducing prompt techniques
  • Optimizing prompts for better results
  • Implementing architecture patterns with Amazon Bedrock APIs
  • Exploring common use cases
  • Adding conversational memory to extend context
  • Implementing Retrieval Augmented Generation (RAG)
  • Using Amazon Bedrock Knowledge Bases
  • Invoking a foundation model in Amazon Bedrock using LangChain
  • Using LangChain for context-aware responses
  • Evaluating application components
  • Evaluating model output
  • Evaluating RAG output
  • Optimizing latency and cost
  • Understanding responsible AI
  • Mitigating bias and addressing prompt misuses
  • Using Amazon Bedrock Guardrails
  • Using tools
  • Understanding AI agents
  • Understanding open source agentic frameworks
  • Understanding agent interoperability
  • Implementing Amazon Bedrock Flows
  • Designing Amazon Bedrock Agents
  • Developing Amazon Bedrock Inline Agents
  • Designing multi-agent collaboration
  • Using Amazon Bedrock AgentCore
Who it's for

Who it's for

Software developers adding generative AI to their applications.

Before you start

  • AWS Technical Essentials
  • Intermediate-level proficiency in Python
  • Familiarity with AWS Cloud

Let's plan your next step together.

Tell us the course or certification you have in mind and we'll send the outline, upcoming dates, fees and private-team options.

Talk to an advisor →WhatsApp