edX
edXBuilding AI with Bedrock Agent
127 studentsBEGINNEREnglish
Korshub's take
This four-week program bridges the gap between LLM theory and production systems. Building enterprise-grade AI isn't just about model selection—it's orchestrating infrastructure, data pipelines, and deployment. You'll learn the full MLOps lifecycle using AWS Bedrock and Python.
Hands-on topics include:
- Large Language Model fundamentals and applications
- Data engineering and ETL pipelines on AWS
- Infrastructure as Code with AWS CDK
- Building and optimizing Bedrock Agents with Lambda
- Operational dashboards and monitoring
Prepare for AWS and Azure ML certifications while building production-ready AI systems.
About this course
Dive into the world of MLOps for generative AI with our comprehensive "Building AI with Bedrock Agent" course. This four-week program is designed to equip you with the skills and knowledge needed to develop enterprise-grade AI applications using AWS Bedrock and Python.
Key course highlights:
- Gain a deep understanding of Large Language Models (LLMs) and their applications
- Learn MLOps best practices for implementing generative AI in enterprise environments
- Develop proficiency in AWS cloud infrastructure and Bedrock Agent technology
- Master Infrastructure as Code (IaC) using AWS CDK
- Explore data engineering and DataOps techniques for AI applications
- Build and optimize Bedrock Agents with AWS Lambda and DevOps practices
- Create user interfaces and operational dashboards for AI solutions
By the end of this course, you'll have the skills to build, deploy, and manage generative AI applications using AWS Bedrock, setting you up for success in the rapidly evolving field of AI development.
Price
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