Building Agentic AI and Generative AI Applications Using AWS Bedrock
About This Course
This Building Agentic AI and Generative AI Applications Using AWS Bedrock course provides learners with the technical skills to design and implement AI-powered applications using Amazon Bedrock and foundation models. Participants will learn how to leverage the AWS Bedrock platform for deploying scalable generative AI solutions and understand the core components and capabilities of foundation models within enterprise applications.
The course also introduces LangChain to create AI workflows and build intelligent pipelines. Learners will work with Retrieval-Augmented Generation (RAG) and AI agents, utilizing knowledge bases and agentic patterns to develop responsive and context-aware AI systems. In addition to implementation, the course emphasizes identifying and resolving key issues in RAG and agent-based architectures, preparing participants for real-world deployment and troubleshooting of AI solutions.
What You'll Learn
LO1: Implement AI applications using AWS Bedrock and Foundation Models
LO2: Deploy AI workflows leveraging LangChain and machine learning techniques.
LO3: Identify and report issues in Retrieval-Augmented Generation (RAG) and AI Agents applications.
Course Outline:
Topic 1: Amazon Bedrock and Foundation Models
- Introduction to Amazon Bedrock
- Foundation Models
- Application Components
Topic 2: AI Workflow Using LangChain
- Using LangChain
- Building Pipelines with LangChain
Topic 3: Retrieval-Augmented Generation (RAG) and Agents
- Using Knowledge Bases
- Using Agentsl
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target Year Group : 21-65 years old