AI Academy for AWS: Enterprise Workforce Enablement for Generative AI

The AI Academy for AWS is a workforce enablement and readiness program that helps organizations develop the skills, governance, and operational capabilities required to successfully adopt, deploy, and scale Generative AI and Agentic AI.

Developed by LearnQuest -- an Advanced Tier Authorized Training Partner -- the program combines authorized AWS curriculum, hands-on labs, AWS Jam experiences, role-based learning paths, skills assessments, and adoption planning into a structured framework that supports both business and technical audiences.

The AI Academy is designed for organizations seeking to move beyond AI awareness and experimentation toward sustainable AI adoption, workforce readiness, and measurable business outcomes.

LearnQuest's program provides a repeatable framework for building AI capabilities across the workforce while supporting the governance, security, and operational requirements necessary for enterprise AI adoption at scale.

Role-Based Learning Paths Learning journeys are tailored to the roles responsible for AI success: • Executives and business leaders • Product and transformation teams • Architects and technical leaders • Developers and engineers • Data and analytics professionals • Security, compliance, and governance teams • Operations and delivery organizations

Core Capability Areas The AI Academy framework includes learning paths across: • AI Foundations and Enterprise Readiness • Machine Learning and Data Literacy • Generative AI Fundamentals • Agentic AI Concepts and Applications • AI Architecture and Solution Design • Knowledge Systems and Retrieval-Augmented Generation (RAG) • Responsible AI and Governance • Security, Risk, and Compliance • AI Operations and Scaling • Enterprise Adoption and Change Enablement

AWS Learning Components The program leverages authorized AWS curriculum and certification pathways, including: • Generative AI for Executives • Generative AI Essentials on AWS • Agentic AI Foundations • Developing Generative AI Applications on AWS • Advanced Generative AI Development on AWS • Building Agentic AI with Amazon Bedrock AgentCore • Building Advanced Agentic Systems on AWS • Architecting on AWS • AWS Well-Architected Best Practices • Data Engineering on AWS • Machine Learning Engineering on AWS • MLOps Engineering on AWS • AWS Security Essentials • Security Engineering on AWS

Hands-On AI Labs and Workshops Participants apply concepts through practical, business-focused scenarios using AWS services and AI technologies. Examples include: • Enterprise knowledge assistants • AI-powered research and analysis • Intelligent document processing • Customer service and support agents • Internal operations assistants • Agentic workflow automation • Knowledge management and search solutions • Productivity and business intelligence use cases

Readiness Validation The program includes skills assessments, knowledge validation, digital badges, certification preparation, applied exercises, and role-based readiness milestones to measure workforce progress and capability development.

Enterprise Adoption Framework Beyond technical skills, the Academy addresses the organizational requirements for successful AI adoption, including AI governance, responsible AI practices, security and compliance, workforce readiness planning, executive sponsorship, change management, AI operating models, and enterprise scaling strategies.

Program Outcomes • Build workforce readiness for Generative AI and Agentic AI • Develop role-based AI capabilities across business and technical teams • Align executives, business stakeholders, and technical practitioners around a common AI strategy • Accelerate movement from pilot projects to production deployments • Establish governance, security, and responsible AI frameworks • Create AI learning and certification pathways aligned to organizational goals • Scale AI adoption across business units, service lines, and geographic regions • Develop repeatable enablement models that support long-term AI transformation

Deliverables • AI readiness assessments • Workforce capability roadmaps • Role-based enablement plans • Certification and credentialing pathways • Governance and operating frameworks • AI adoption strategies • Executive action plans • Enterprise AI execution roadmaps

LearnQuest's program provides a repeatable framework for building AI capabilities across the workforce while supporting the governance, security, and operational requirements necessary for enterprise AI adoption at scale.