Amazon Bedrock Getting Started
AWS Bedrock Essentials: Building Generative AI Solutions Description
- Master Bedrock's core functionalities
- Build scalable AI solutions using pre-trained FMs
- Optimize costs by understanding Bedrock's pricing models and tools
- Implement ethical AI practices
- Gain hands-on experience with AWS tools
- 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
"Amazon Bedrock Getting Started" is a foundational AWS course designed for developers and technical professionals seeking to leverage generative AI through Amazon Bedrock's fully managed service. This course introduces Bedrock's core features, including access to leading foundation models (FMs) like those from Anthropic, Cohere, and Amazon, while emphasizing privacy, security, and serverless architecture. Through guided tutorials, learners explore real-world applications such as chatbot development, embedding generation, and cost-optimized workflows. The curriculum also covers Bedrock's integration with AWS services, model customization via techniques like Retrieval Augmented Generation (RAG), and practical implementation using the AWS Management Console.
AWS's Amazon Bedrock Getting Started course Outline
Learn the Amazon Bedrock Getting Started
Ready to harness the power of generative AI without infrastructure headaches? Amazon Bedrock Getting Started demystifies AWS's managed AI service in under 2 hours. Learn to build chatbots, optimize costs, and integrate models like Claude and Titan—no prior AI expertise needed. Perfect for developers, this course includes step-by-step AWS Console tutorials. Click the link to unlock AI innovation with Bedrock today!
Start your journey today:
Course Structure Includes:
Introduction to Amazon Bedrock:
- Overview of FMs, serverless architecture, and security.
Architecture & Use Cases:
- Chatbot design with AWS services, embedding generation for text/vision, and RAG implementation.
Hands-On Implementation:
- Guided AWS Console tutorials for model deployment and API integration.
Cost & Optimization:
- Pricing models, prompt caching, and performance tuning.
Advanced Topics:
- Ethical AI practices, model distillation, and multi-agent collaboration.
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 Amazon Bedrock in 1 hour: Learn to deploy FMs, build chatbots, and optimize AI workflows with AWS's managed service. Includes hands-on console labs.
Pre-requisites
None
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