Building AI with Bedrock Agent

Overview

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.

Syllabus

Week 1: Introduction to MLOps for LLM
- Fundamentals of LLMs, tokenization, embeddings, and attention mechanisms
- Hands-on experience with AWS Bedrock console and model access
- Trustworthy AI principles and LLM customization
Week 2: IaC and DataOps
- AWS CDK for infrastructure management
- Data engineering practices and pipeline improvements
- Handling messy data with AWS Glue and Lambda
Week 3: Building Bedrock Agent
- Designing and implementing Lambda tools for Bedrock Agents
- Creating and optimizing Bedrock Agents using CDK and management console
Week 4: Building Interfaces and Operations
- Developing chat UI with FastAPI and HTMX
- Deploying applications with AWS App Runner
- Creating operational dashboards and conducting IT reviews