Agentic AI on AWS Foundations Training Course
Length
1 day / 1 week
Price
$525 USD
Days
Mon - Fri
Why Choose This Course
Agentic AI on AWS Foundations is a one‑day, instructor‑led training that introduces the core concepts, patterns, and AWS services used to design and build autonomous, goal‑driven AI agents. You learn how agentic systems differ from traditional conversational AI, when to use workflow, autonomous, or hybrid agents, and how to map those choices to AWS capabilities including Amazon Bedrock Agents andAgentCore, Amazon Q (Developer and Business), and related tooling.
The course combines clear mental models with hands‑on practice. You explore agent architecture, decision‑making frameworks, tool use, memory, multi‑step planning, and observability, then apply them in labs that use Bedrock Agents, Knowledge Bases, and Guardrails to create safe, auditable solutions that can reason, plan, and act across APIs and data sources.
By the end of the day, you will be able to identify agent types and implementation patterns, compare AWS service options, and build a simple agent scaffold you can extend for use cases such as ticket triage, content assembly, data curation, or DevOps runbooks—grounded in AWS’s fully managed agent platform and best‑practice guidance.
Prerequisites
- There are no formal prerequisites for this course. Recommended: Generative AI Essentials (or equivalent), plus basicAWSand software development experience.
Exam
Candidates can achieve this certification by passing the following exam(s).
- AWS Certified AI Practitioner (AIF‑C01).
Books
- Agentic AI on AWS Foundations course material included.
Delivery
- Live virtual online training attend in real-time from anywhere
Skills Gained
- Explain what makes an AI system agentic and summarize the evolution from LLMs to agents
- Distinguish workflow, autonomous, and hybrid agents and select them forappropriate usecases
- Compare AWS service options for agentic AI, including Amazon Q Developer/Business and Kiro
- Describe Amazon Bedrock Agents andAgentCorefundamentals and when to use each
- Configure action groups, knowledge bases, and guardrails to automate multi‑step tasks safely
- Use advanced prompt templates and tracing to improve accuracy and observability
- Build and test a simple agent, iterate with versions and aliases, and prepare for deployment
- Apply multi‑agent collaboration patterns for complex workflows
- Implement retrieval‑augmented generation with Bedrock Knowledge Bases to reduce hallucinations
- Integrate agents with enterprise systems through APIs and Lambda functions
- Align learning with foundational certification pathways in AI on AWS
Audience
- Software developers, technical professionals, and AWS users expanding into agentic AI
- Teams evaluating agent types and AWS service choices
Course Schedule & Pricing
Choose the schedule that fits your life — all options include full course materials & certification support
Full-time immersion for rapid certification readiness.
Balance your career while you upgrade your skills.
Maximum flexibility for busy working professionals.
Outline
- From LLMs to Agents: limitations, innovations, evolution timeline
- Agentic AI overview: definitions, principles, and business applications
- Agent types: workflow, autonomous, hybrid—selection criteria
- Agent workflows: orchestration patterns; Bedrock flows overview
- Autonomous agent techniques:ReAct,ReWoo, and multi‑agent collaboration
- Amazon Q Developer and Q Business: use cases for developer productivity and enterprise search
- Kiro (AI‑powered IDE) and spec‑driven development for agent tooling
- Amazon Bedrock Agents: concepts, action groups, knowledge bases, guardrails
- AgentCore: building, deploying, and operating agents at scale
- RAG with Knowledge Bases: grounding responses and reducing hallucinations
- Memory retention and code interpretation features in Bedrock Agents
- Observability: tracing agent reasoning; telemetry and logging
- Security and safety: guardrails, permissions, encryption considerations
- Versioning and aliases: deployment strategies and rollbacks
- API integration and Lambda actions for enterprise workflows
- Tutorial walk‑through:create, test, deploy, and call an agent programmatically
- Multi‑agent orchestration patterns for complex processes
- Use case gallery: ticket triage, reservation workflows, inventory checks
- Best practices: prompt templates, safety, and cost awareness
- Next steps and resources for continuing study on AWS Skill Builder and documentation
Terms & Conditions
Frequently Asked Questions (FAQ's)
What is agentic AI, and how is it different from chatbots?
Which AWS services will I use in this course?
Do I need to be an AI specialist to attend?
Our Partnership
Reliable certification testing is vital for validating professional skills in today’s tech-driven world. As a Pearson VUE Authorised Centre, we provide a secure environment for globally recognised IT exams. This partnership ensures convenient access to certifications with the highest standards of integrity and accuracy.
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