AI-Native Foundations Certification
Gain individual fluency and confidence for the Age of AI
AI isn’t a side project—it’s a career imperative. Upskilling in AI is no longer optional if you want to stay relevant. The ability to understand and apply AI is quickly becoming the foundation of how individuals future-proof their careers and how organizations compete, deliver, and grow.
The AI-Native Foundations course is a two-day immersive course builds fluency in the principles, practices, and mindsets needed to thrive in the Age of AI.
Unlike tool-centric workshops, AI-Native Foundations focuses on fluency, not fads. You’ll demonstrate the skills to apply AI responsibly and effectively, redesign personal workflows, and accelerate ROI from existing and future AI investments.
*Training course not required to attempt the exam
Foundational Level
New to AI.
Exam Duration
90 minutes.
Passing Score
80% required to pass
AI-Native Certification
Accreditation upon passing an exam.
AI-Native Foundations Topics
Grasp the EDGE™ Imperative
Understand the exponential, disruptive, generative, and emergent forces transforming work.
Demystify AI concepts
Explain AI, ML, GenAI, LLMs, RAG, and intelligent agents in clear, plain language.
Prompt with confidence
Apply safe and effective prompting techniques to unlock better results.
Redesign workflows
Reimagine one of your own work processes with AI for immediate impact.
Who Is This Certification For?
This certification is for anyone who knows they can’t afford to sit on the sidelines of AI. Whether you’re just starting to explore, have dabbled with tools but struggled to get meaningful results, or are being pressed by your boss or board to answer “What’s our AI strategy?”—AI-Native Foundations gives you the confidence and fluency to respond with clarity and impact.
- Executives & Leaders
- Product & Delivery Roles
- Operations & Support
- Consultants & Coaches
Why Choose Scaled Agile for your AI Certification?
Scaled Agile has trained over 2 million professionals across 20,000+ enterprises worldwide.
With AI-Native Foundations, you benefit from:
- Enterprise-grade credibility – Proven track record enabling large-scale transformation.
- Trusted certification model – Recognized globally, designed for adoption and performance.
- Global partner ecosystem – Expert instructors and coaches in every major market.
- Integration of AI fluency with business agility – Practical tools to deliver measurable impact.
- Vibrant learning community – Ongoing support, peer networks, and continuous updates.
We don’t just train people to use AI. We help organizations become AI-Native.
Get AI-Native Certified
AI-Native Foundations exam. Passing the exam earns you a globally recognized certification and demonstrates that you have the fluency to apply AI responsibly, redesign workflows, and accelerate value in your organization.
Certification Process Includes:
A multiple-choice practice test with question-level feedback and coaching report to guide study.
Dedicated customer support for learning and certification questions.
A timed, multiple-choice, 45-question exam with a coaching report.
Certified Professionals Earn:
The industry-recognized Certified AI-Native Foundations Professional, renewed yearly.
A digital badge for social sharing to showcase your expertise and expand your professional network.
Exam guidelines
Domain
Topics
Fundamentals and Core Architectures (26-30%)
- Agentic AI Understanding; understanding the meaning of an Agentic AI approach
- Define the different common AI jargons.
- Describe 5 levels of AI: Rule-Based Automation, Intelligent Automation, Agentic Workflows, Semi-Automatic Agents, Full-Autonomous Agents
- Describe Retrieval-Augmented Generation (RAG): Articulate the concept of RAG and its role in enhancing AI model responses with external knowledge.
- Navigate common AI terminology: Be able to use, define, and discuss frequently used AI terms.
- Understand Composite AI: Understand how combining multiple AI techniques (e.g., machine learning, rules-based systems, and LLMs) can create more accurate and robust solutions than using a single method.
- Understand how AI Agents work and their capabilities: Explain the function, architecture, and potential applications of AI agents.
- Understand how to use generative AI: Understand what an LLM and what Generative AI is
- Understand the concept of creating custom GPTs and copilots.
- Understand the difference between an LLM and an AI Agent
Responsible AI, Governance, and Security (18-22%)
- Apply the principles of Responsible AI: Integrate ethical considerations and best practices into AI use to ensure fairness, transparency, and accountability.
- Ethical Decision-Making Frameworks for AI: Dive deeper into specific frameworks or methodologies for navigating ethical dilemmas in AI development and deployment.
- Explain AI general security best practices like Dos and Don’ts
- Understanding Data Privacy and Security in AI: Learn about data governance, anonymization techniques, and compliance with regulations like GDPR or CCPA when using AI.
Practical AI Application and Prompt Engineering (33-37%)
- Ability to create effective prompts for Image and video generation
- Ability to create RAG-based prompts
- Apply the Success Factors to your specific role by creating a concrete micro-plan for immediate implementation: Develop a personalized plan to integrate AI-Native Success Factors into daily work.
- Craft a concise summary of an AI opportunity, linking it to a relevant challenge or goal in your work: Clearly communicate the potential of AI solutions in addressing specific business needs.
- Craft effective prompts for text generation: Develop and refine prompts to elicit desired and accurate responses from AI models.
- Design AI-enhanced workflows combining human judgment with appropriate AI enhancements: Create efficient processes that leverage AI tools while maintaining human oversight and decision-making.
- Generate powerful questions with AI to uncover hidden project risks: Utilize AI to formulate questions that reveal unforeseen risks in projects.
- Use AI to turn difficult feedback into productive questions: Leverage AI to reframe challenging feedback into constructive inquiries.
AI Business Strategy and Transition (12-17%)
- Articulate the four EDGE (exponential growth, disruptive, generative, emergent) forces and the AI-Native case in plain business terms: Explain key AI concepts and their business relevance in an accessible manner.
- Classify AI use cases as Stable, Evolving, or Frontier: Categorize AI applications based on their maturity and potential for future development.
- Distinguish between core AI solution patterns to help teams select the most practical approach: Guide teams in choosing appropriate AI solutions for specific problems.
- Translate AI concepts and their trade-offs into clear business language: Bridge the gap between technical AI details and business implications.
- Translate business needs into a realistic AI solution : Convert organizational requirements into practical AI and data implementation plans.
- Vendor Selection and Management for AI Solutions: Understand how to evaluate, select, and manage third-party AI tools and services.
*Maintaining Your Credential
You will be required to earn a minimum of 20 Continuing Education Units (CEUs) each year.
Frequently Asked Questions
What languages are available?
The AI-Native Foundations course is available in the following languages. Click on the name of the language to get additional information.
Brazilian Portuguese
French
German
Japanese
Spanish
What prerequisites are required for the AI-Native Foundations course?
None. This course is designed for professionals new to AI or those wanting to build foundational fluency. No prior AI experience or coding knowledge is required.
How long is the AI-Native Foundations course?
It is a 2-day in-person immersive program, with instructor-led sessions. Upon completion, you are eligible to take the certification exam.
What topics are covered in AI-Native Foundations?
Topics include the EDGE™ imperative, demystifying AI/ML/LLMs/RAG, prompt engineering techniques, workflow redesign with AI, and responsible/ethical usage.
What certification do I receive after passing the exam?
You receive the “Certified AI-Native Foundations Professional” credential (renewed yearly) and a digital badge for sharing.
Who should attend AI-Native Foundations?
Executives, product leaders, operations, consultants, and anyone who needs a firm foundation in AI fluency and bridging AI to business value.