AI Certification for Non-Tech Backgrounds

1. AI Certification for Non-Tech Backgrounds www.iabac.org

2. My Journey into AI Finding My Path in AI Starting from Scratch Discovered the right learning resources and support Now confident using AI tools and collaborating with tech teams Actively growing in my career with AI as a key driver Began in a non-technical role with no coding experience Believed AI was only for engineers and tech experts www.iabac.org

3. Can You Learn AI Without a Tech Background? 01 The Myth: AI is Only for Tech Experts Many believe you need to be a programmer or data scientist to understand AI. This myth holds people back from exploring a field that’s increasingly accessible. The Reality: Accessible Tools and Learning Paths 02 Today’s AI tools are user-friendly, with low-code or no-code options. Online courses, communities, and real-world use cases make it possible to learn without a traditional tech background. 03 The Opportunity: Thrive in the AI Era With curiosity and the right guidance, anyone can start using AI in their role— whether in marketing, operations, HR, or beyond. You don’t need to code to contribute meaningfully in the AI space. www.iabac.org

4. Why AI Is a Must- Know Skill Automation: Save time on repetitive tasks Personalization: Better customer experiences Smarter Decisions: Use data to make informed choices Career Growth: High-demand, future-proof roles Competitive Edge: Stay ahead in your industry www.iabac.org

5. What a Good AI Certification Covers Intro to AI & Machine Learning Real-World Applications No-code AI Tools (like Google AutoML, Microsoft Power Platform) Data Basics & Visualization Ethics & Bias in AI www.iabac.org

6. Who Should Consider It? Career Changers and Lifelong Learners Curious Professionals from Any Field Problem-Solvers and Creative Thinkers Whether you're looking to pivot into a new role or future-proof your current one, exploring AI can unlock new career paths and keep you relevant in a fast-changing world. If you're naturally curious and open to learning, AI can amplify your work—whether you're in business, education, healthcare, design, or another non-technical field. AI thrives on patterns and possibilities. If you enjoy identifying inefficiencies, creating new solutions, or imagining better ways to do things, AI can become a powerful tool in your hands. www.iabac.org

7. Myths About Learning AI ❌ “You need to code” → Many tools are no- code ❌ “Too late to start” → People switch in their 40s ❌ “Only for tech people” → All industries use AI ❌ “Too much math” → High-school basics are enough www.iabac.org

8. Choosing the Right AI Certification 01 02 03 Match Skill Level with Course Type Look for Credibility and Career Value Know Your Goal Beginners should look for certifications that require no coding and focus on concepts and tools (e.g. AI for Everyone, prompt engineering, or no-code tools). More advanced learners might pursue programs in machine learning, data science, or AI engineering. Start by identifying why you want an AI certification. Are you aiming to enhance your current role, switch careers, or build foundational knowledge? Your goal will shape the best path—business- focused, technical, or industry- specific. Choose certifications from reputable platforms (like Coursera, edX, or university-led programs). Check if the course offers practical projects, real-world use cases, and recognition in your industry. www.iabac.org

9. Thank you www.iabac.org