Agentic AI Foundations

Details

Description

Duration: 1 day

This course covers the foundational concepts and design principles behind Agentic AI systems built on AWS. Students will examine how Agentic AI differs from traditional conversational AI and learn how tools such as Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore support the development of autonomous, goal-oriented applications. The course connects core theory to practical AWS service options for building agentic solutions.

Target Audience

  • Software developers new to Agentic AI who want to build foundational knowledge
  • Technical professionals interested in understanding the key components and practical applications of agentic AI
  • Development teams evaluating agentic AI approaches who need to differentiate between agent types
  • AWS users looking to extend into Agentic AI, including those already working with Amazon Q Developer, Amazon Q Business, or Amazon Bedrock Agents

Prerequisites

  • Generative AI Essentials or equivalent professional experience
  • Basic familiarity with AWS and software development

What's Included

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing – (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

Training Solutions

With several convenient training delivery methods offered, The Code Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Code Academy for an engaging and effective learning experience.

Methods

  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

Schedule

StartFinishPublic PricePublic Enroll Private PricePrivate Enroll
5/25/20265/25/2026
6/15/20266/15/2026
7/6/20267/6/2026
7/27/20267/27/2026
8/17/20268/17/2026
9/7/20269/7/2026
9/28/20269/28/2026
10/19/202610/19/2026
11/9/202611/9/2026
11/30/202611/30/2026
12/21/202612/21/2026
1/11/20271/11/2027
2/1/20272/1/2027
2/22/20272/22/2027
3/15/20273/15/2027
4/5/20274/5/2027
4/26/20274/26/2027

Curriculum

Learning Objectives
  • Describe the development of Agentic AI and explain what qualifies a system as ‘agentic’
  • Identify the core components that make up agentic systems
  • Differentiate between workflow, autonomous, and hybrid agent types
  • Compare available AWS services for implementing Agentic AI
  • Explain the capabilities and use cases of Amazon Q Developer, Amazon Q Business, and Kiro
  • Describe the fundamentals of Amazon Bedrock AgentCore and Amazon Bedrock Agents
  • Identify common implementation patterns used in Agentic AI development
  • Describe observability and interoperability considerations for agentic AI systems in production
Course Outline
Module Module 1: From LLMs to Agents

[‘How Large Language Models (LLMs) work’, ‘Key advances that enable agent behavior’, ‘The progression from LLMs to AI agents over time’]

Module Module 2: Agentic AI Fundamentals

[‘What Agentic AI is and how it works’, ‘Categories of AI agents’, ‘Real-world applications of Agentic AI’]

Module Module 3: Agentic AI Workflow Patterns

[‘Common workflow patterns in agentic systems’, ‘Overview of Amazon Bedrock Flows’]

Module Module 4: Autonomous Agents

[‘How autonomous agents operate’, ‘ReAct’, ‘ReWoo’, ‘Multi-agent collaboration approaches’, ‘AWS solutions for Agentic AI’]

Module Module 5: Amazon Q and Agentic Development Tools

[‘Amazon Q Developer’, ‘Amazon Q Business’, ‘Amazon Q within AWS services’, ‘Kiro: spec-driven development in an AI-powered IDE’]

Module Module 6: Agentic AI with Amazon Bedrock

[‘Amazon Bedrock Agents’, ‘Amazon Bedrock AgentCore’, ‘Hands-on lab: working with Amazon Bedrock Agents alongside Amazon Bedrock Knowledge Bases and Amazon Bedrock Guardrails’]

Module Module 7: Custom Agentic Solutions

[‘Building your own agentic solutions’, ‘Observability and monitoring strategies’, ‘Agent interoperability’]

Module Module 8: Course Wrap-up

[‘Recommended next steps and further learning resources’, ‘Summary of course content’]