Course
Digicomp Code AWSF02
Agentic AI Foundations – Intensive Training («AWSF02»)
In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services.
Duration
1 day
Price
900.–
Course documents
Digital original AWS courseware
Course facts
- Summarizing the evolution of Agentic AI and define what makes something "agentic"
- Identifying core components of agentic systems
- Distinguishing between workflow, autonomous, and hybrid agents
- Comparing AWS service options for Agentic AI
- Describing capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
- Explaining Amazon Bedrock AgentCore and Amazon Bedrock Agents fundamentals
- Identifying basic implementation patterns for Agentic AI
- Describing observability and interoperability patterns for production agentic AI systems
Learn how Agentic AI differs from traditional conversational systems, and how to use tools like Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.
1 From LLMs to Agents
- Understanding Large Language Models (LLMs)
- Innovations powering agents
- Evolution timeline from LLMs to Agents
2 Exploring Agentic AI
- Understanding Agentic AI
- Types of AI agents
- Agentic AI applications
3 Understanding Agentic AI Workflows
- Workflow patterns
- Amazon Bedrock flows overview
4 Introducing Autonomous Agents
- How Autonomous Agents work
- ReAct
- ReWoo
- Multi-agent collaboration
- AWS Agentic AI solutions
5 Amazon Q and Agentic Development Tools
- Amazon Q Developer
- Amazon Q Business
- Amazon Q in AWS Services
- Kiro: AI-powered IDE with spec-driven development
6 Agentic AI with Amazon Bedrock
- Amazon Bedrock Agents
- Amazon Bedrock AgentCore
- Hands-on lab: Explore Amazon Bedrock Agents integrated with Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails
7 Building DIY Solutions
- DIY solutions
- Observability and Monitoring
- Agent Interoperability
8 Course Wrap-up
- Next steps and additional resources
- Course summary
This course includes presentations, hands-on lab, and group exercises.
- Software developers new to Agentic AI seeking foundational knowledge
- Technical professionals exploring AI capabilities and interested in core components and applications of agentic AI
- Development teams evaluating Agentic AI solutions and needing to differentiate between agent types
- AWS users expanding into Agentic AI, including current users of Amazon Q Developer, Amazon Q Business, and Amazon Bedrock Agents
- Generative AI Essentials or equivalent work experience
- Basic AWS knowledge and software development experience