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We’re back with Episode 2 of From Cover to Code, continuing our journey through "AWS Certified AI Practitioner (AIF-C01) Study Guide" by Tom Taulli. This episode focuses on building a clear, exam-ready understanding of AI and Machine Learning — cutting through the buzzwords and zeroing in on what AWS actually expects you to know. In this session, we're digging into the foundational concepts that power modern AI on AWS and show up repeatedly on the AIF-C01 exam. Chapters Covered Chapter 3: AI and Machine Learning Chapter 4: Understanding Generative AI We’ll break down: How AI, ML, and Generative AI relate — and where the exam draws distinctions Core terminology and mental models every AWS AI Practitioner should have How AWS frames these concepts in real-world use cases and exam scenarios Whether you’re actively studying for the certification or just want a solid grounding in AI concepts within the AWS ecosystem, this episode is designed to help everything click. Grab the book, bring your questions, and let’s go from cover to code 🚀