AWS AI Practitioner Training

Program Commitment & Format

• Live Virtual Interactive Sessions: 12 Hours (4 sessions × 2.5 hours + 1 session × 2 hours)
• Self-Paced Learning & Study: ~22 Hours
• Total Estimated Commitment: ~34 Hours

What’s Included:

• Self-Paced Exam Prep Plan: Step-by-step guidance via the AWS Certified AI Practitioner Exam Prep Plan on AWS Skill Builder (~8–15 hours).
• Hands-On AWS Labs: Experience live exercises using Amazon Bedrock, SageMaker JumpStart, and the AWS Academy Learner Lab (at no additional cost).
• Reference & Review Materials: Access to official presentation decks, lecture recordings, and the AWS Certified AI Practitioner Official Study Guide.
• Onboarding Support: Pre-session setup guides and videos to assist with platform registration before Day 1.
• AWS Skill Builder Premium (Eligible Educators): AWS Academy educators can activate a complimentary 12-month AWS Skill Builder Premium subscription through their AWS Academy Canvas LMS.

Target Audience & Prerequisites

Who Should Apply:

• Community college faculty and staff across all disciplines (technical and non-technical).
• High school educators interested in cloud-based AI technology.

Prerequisites:

• Basic understanding of cloud computing and machine learning concepts.
• General IT familiarity is beneficial.
• No prior AWS or deep AI experience is required.

Curriculum Schedule

Sessions 1 through 4 consist of 2 hours of core concept instruction followed by 30 minutes of live, hands-on demonstrations. Session 5 is a fully hands-on interactive lab.

Session 1: Fundamentals of AI and Machine Learning

Friday, October 2, 2026 | 12:00 PM – 2:30 PM ET

• Concepts (2 hrs): AI/ML fundamentals, types of learning, practical use cases, ML lifecycle, AWS AI/ML services overview, and MLOps basics.
• Hands-On (30 min): Exploring AWS AI Services (Amazon SageMaker JumpStart and Amazon Comprehend).

Session 2: Fundamentals of Generative AI

Friday, October 9, 2026 | 12:00 PM – 2:30 PM ET

• Concepts (2 hrs): Core GenAI concepts (tokens, embeddings, LLMs, foundation models), enterprise capabilities and limitations, practical business applications, and AWS GenAI infrastructure.
• Hands-On (30 min): Prompt Engineering in the Amazon Bedrock Playground.

Session 3: Applications of Foundation Models

Friday, October 16, 2026 | 12:00 PM – 2:30 PM ET

• Concepts (2 hrs): Foundation model design considerations, Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering best practices, fine-tuning, and model evaluation.
• Hands-On (30 min): Building a RAG application with Amazon Bedrock Knowledge Bases.

Session 4: Security, Compliance, Governance, and Responsible AI

Friday, October 23, 2026 | 12:00 PM – 2:30 PM ET

• Concepts (2 hrs): Responsible AI development frameworks, bias detection, fairness, data governance, compliance regulations, and AWS security services.
• Hands-On (30 min): Implementing Amazon Bedrock Guardrails.

Session 5: Agentic AI in Practice – Building with Kiro on AWS

Friday, October 30, 2026 | 12:00 PM – 2:00 PM ET

• Fully Hands-On (2 hrs): Introduction to Agentic AI concepts followed by a guided build using Kiro (AWS's agentic IDE) within the AWS Academy Learner Lab to create and deploy an AI-powered cloud application.
• Key Skills: Rapid prototyping ("vibe coding") and spec-driven development.

Completion Requirements & Certification Vouchers

Complimentary AWS Certified AI Practitioner examination vouchers will be awarded to eligible participants who meet the completion criteria:

1. Attendance: Participants must attend at least 4 out of the 5 live sessions.
2. Recording Policy: Live interaction is essential. Reviewing session recordings is intended to help catch up on material or make up for a single missed session only, and does not replace the overall live attendance requirement.