AI+ Project Management Practitioner

From LLMs to Agents, From LLMs to Agents, From LLMs to Agents, From LLMs to Agents, From LLMs to Agents, Exploring Agentic AI, Exploring Agentic AI, Exploring Agentic AI, Exploring Agentic AI, Exploring Agentic AI, Understanding Agentic AI Workflows, Understanding Agentic AI Workflows, Understanding Agentic AI Workflows, Understanding Agentic AI Workflows, Understanding Agentic AI Workflows, Introducing Autonomous Agents, Introducing Autonomous Agents, Introducing Autonomous Agents, Introducing Autonomous Agents, Introducing Autonomous Agents, Amazon Q and Agentic Development Tools, Amazon Q and Agentic Development Tools, Amazon Q and Agentic Development Tools, Amazon Q and Agentic Development Tools, Amazon Q and Agentic Development Tools, Agentic AI with Amazon Bedrock, Agentic AI with Amazon Bedrock, Agentic AI with Amazon Bedrock, Agentic AI with Amazon Bedrock, Agentic AI with Amazon Bedrock, Building DIY Solutions, Building DIY Solutions, Building DIY Solutions, Building DIY Solutions, Building DIY Solutions, Course Wrap-up, Course Wrap-up, Course Wrap-up, Course Wrap-up, Course Wrap-up

Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems, Course Objectives:Summarize the evolution of Agentic AI and define what makes something "agentic"Identify core components of agentic systems: goals, memory, tools, and environmentDistinguish between workflow, autonomous, and hybrid agentsCompare AWS service options for Agentic AI (Specialized, Managed, and DIY approaches)Describe capabilities and use cases of Amazon Q Developer, Amazon Q Business, and KiroExplain Amazon Bedrock AgentCore and Amazon Bedrock Agents core functionalitiesIdentify basic implementation patterns for Agentic AIDescribe observability and interoperability patterns for production agentic AI systems

Basic AWS knowledge and software development experience