Simplify Generative AI App Development with Agents for Amazon Bedrock

Overview

Discover how Agents for Amazon Bedrock enables AI applications to perform complex tasks across enterprise systems, streamlining development and automating multi-step workflows with natural language.

Syllabus

• Introduction to Generative AI and Amazon Bedrock
Overview of Generative AI
Introduction to Amazon Bedrock and its components
• Agents for Amazon Bedrock: A Deep Dive
Understanding Agents and their role
Configuring and deploying Agents in Amazon Bedrock
• Building AI Applications with Amazon Bedrock
Setting up your development environment
Integrating Agents into existing enterprise systems
• Streamlining Development Processes
Automating workflows with natural language commands
Best practices in application development with Amazon Bedrock
• Automating Multi-step Workflows
Designing complex workflows with Agents
Case studies of successful workflow automation
• Security and Compliance
Ensuring data security with generative AI applications
Compliance considerations in enterprise environments
• Debugging and Optimization
Identifying and troubleshooting common issues
Optimizing performance for AI applications
• Conclusion and Future Trends
Recap and key takeaways
Emerging trends in generative AI and potential future developments
• Hands-on Lab Sessions
Practical exercises with Agents for Amazon Bedrock
Real-world project development using course knowledge
• Final Project
Design and implement a generative AI application utilizing Agents for Amazon Bedrock
Present and discuss solutions in a group setting.

Subjects

Programming