Building Generative AI Applications Using Amazon Bedrock
AWS Generative AI Developer Lab: Advanced Bedrock & LangChain Integration
- Build end-to-end RAG applications
- Customize AI agents
- Automate tasks like code generation and customer support
- Implement ethical safeguards with Bedrock Guardrails
- Optimize model performance
- Gain expertise in LangChain components for multi-step AI workflows
- Align with industry
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Google Cloud certifications in AI
What you will learn
"Building Generative AI Applications Using Amazon Bedrock" is an advanced 6-hour AWS course tailored for developers aiming to master generative AI application development. It focuses on integrating Amazon Bedrock APIs and LangChain to build scalable solutions like Retrieval Augmented Generation (RAG) systems, AI assistants, and text/code generators. Learners dive into architecture patterns, foundation models (e.g., Claude, Titan), and AWS services such as Bedrock Knowledge Bases and Guardrails for ethical AI deployment. Hands-on labs teach practical skills—from invoking models and optimizing prompts to deploying secure agents—using Jupyter notebooks and AWS console tutorials. Prerequisites include Python proficiency and foundational AWS knowledge.
AWS's Building Generative AI Applications Using Amazon Bedrock course Outline
Learn the Building Generative AI Applications Using Amazon Bedrock
Ready to build enterprise-grade AI applications? Building Generative AI Applications Using Amazon Bedrock offers a 6-hour deep dive into AWS's cutting-edge tools. Learn to deploy RAG systems, secure AI agents, and LangChain workflows—all with hands-on labs. Perfect for Python developers, this course unlocks AWS certifications and real-world AI mastery. Start transforming ideas into production today!
Start your journey today:
Course Structure Includes:
Module 1 - Introduction to Amazon Bedrock
Module 2 - Foundation Models
Module 3 - Application Components
Module 4 - Using LangChain
Demo 1: Explore Generative AI Use Cases with LangChain and Amazon Bedrock
Module 5 - Using Knowledge Bases
Demo 2: Build and Evaluate RAG Applications Using Amazon Bedrock Knowledge Bases
Module 6 - Using Agents
Demo 3: Explore Amazon Bedrock Agents Integrated with Amazon Bedrock Knowledge Bases and Guardrails
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Master generative AI app development in 6 hours: Build RAG systems, LangChain agents, and secure AI workflows using Amazon Bedrock APIs and AWS services.
Pre-requisites
We recommend that attendees of this course have:
- Intermediate to expert-level proficiency with Python programming language
- AWS Technical Essentials (Fundamental)
- AWS Lambda Foundations (Fundamental)
- Amazon Bedrock Getting Started (Fundamental)
- Foundations of Prompt Engineering (Intermediate)
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