In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll 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. – Course level: Fundamental – Duration: 1 day
Agentic AI Foundations
ტრენინგის კოდი
AAIF
ხანგძლიობა
1 დღე, 8 საათი
კურსის აღწერა
მიზანი
მოთხოვნა
კურსის პროგრამა
კურსის აღწერა
Description
მიზანი
Objectives
- Summarize the evolution of Agentic AI and define what makes something “agentic”
- Identify core components of agentic systems: goals, memory, tools, and environment
- Distinguish between workflow, autonomous, and hybrid agents
- Compare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)
- Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
- Explain Amazon AgentCore and Amazon Bedrock Agents core functionalities
- Identify basic implementation patterns for Agentic AI
- Describe observability and interoperability patterns for production agentic AI systems
მოთხოვნა
Audience
- Software developers new to Agentic AI seeking foundational knowledge and practical implementation skills
- 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
Recommended previous knowledge
- Generative AI Essentials or equivalent work experience
- Basic AWS knowledge and software development experience
კურსის პროგრამა
Couse outline
Module 1 From LLMs to Agents
- Understanding Large Language Models (LLMs)
- Innovations powering agents
- Evolution timeline from LLMs to Agents
Module 2 – Exploring Agentic AI
- Understanding Agentic AI
- Types of AI agents
- Agentic AI applications
Module 3 – Understanding Agentic AI Workflows
- Workflow patterns
- Amazon Bedrock flows overview
Module 4- Introducing Autonomous Agents
- How Autonomous Agents work
- ReAct
- ReWoo
- Multi-agent collaboration
- AWS Agentic AI solutions
Module 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
Module 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
Module 7 – Building DIY Solutions
- DIY solutions
- Observability and Monitoring
- Agent Interoperability
Module 8 – Course Wrap-up
- Next steps and additional resources
- Course summary
ტრენინგზე რეგისტრაცია
Agentic AI Foundations
ტრენინგის კოდი:
AAIF
ხანგძლიობა:
1 დღე, 8 საათი
