Eduardo Mota
Sr. Cloud Data Architect
Building Generative AI Applications with Amazon Bedrock
Build cutting-edge generative AI applications with Amazon Bedrock and Python. Learn to integrate models in applications using BOTO3 and APIs, leverage AWS services such as S3 and Amazon Aurora, and create end-to-end AI solutions. Through practical exercises and a real-world project, you'll gain expertise in Retrieval-Augmented Generation (RAG), embeddings, and secure AI pipelines.
- Course
- Beginner
- 11 hours
- Updated: Oct 1, 2025
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
4 skills
- Retrieval-Augmented Generation
- Amazon Web Services
- GenAI Models
- Large Language Models
Prerequisites
2 prerequisites
Prior to enrolling, you should have the following knowledge:
- Basic Python
- Amazon Web Services
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 4 lessons
- 1 project
Program Instructors
1 instructor
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Eduardo Mota
Sr. Cloud Data Architect
About this program
Master generative AI application development using Amazon Bedrock and Python. Explore large language models with BOTO3, AWS services like S3 and Amazon Aurora, and build secure AI pipelines. Gain hands-on experience in Retrieval-Augmented Generation (RAG) and embeddings with practical exercises and a real-world project.
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates