What happens when AI teaches AI?
AI Teaching AI is a 14-episode learning experience built entirely by artificial intelligence — covering everything from the fundamentals of machine learning to the ethics and governance behind AWS AI solutions.
Designed as an audio study guide for the AWS Certified AI Practitioner exam, this podcast redefines how we learn — one intelligent conversation at a time.
Powered by Quincy Smith — where innovation meets creativity.
Wrap up with deployment-level security. Protect endpoints using API Gateway and Cognito, isolate networks with VPC and PrivateLink, and monitor threats with GuardDuty.
A must-listen for anyone taking AI from prototype to production.
9 Nov 2025
Ep 13: Compliance and Model Governance
Explore how to govern models responsibly using SageMaker Model Registry and AWS Artifact. Discover versioning, auditing, and continuous compliance for enterprise-grade AI.
9 Nov 2025
Ep 12: Data Privacy and Protection in AI
Learn the fundamentals of securing AI systems with AWS KMS, CloudTrail, and IAM. Understand encryption, least-privilege design, and compliance requirements for sensitive data.
9 Nov 2025
Ep 11: Choosing the Right AWS AI Service
Which AWS tool fits your project best? This episode teaches you to match problems—vision, speech, text, or generative—to the right service while balancing cost, latency, and customization.
9 Nov 2025
Ep 10: Real-World AI Scenarios
From healthcare to retail and finance, explore real implementations of AWS AI services. Hear how Rekognition, Comprehend, and SageMaker solve everyday business challenges.
9 Nov 2025
Ep 9: Responsible AI on AWS
See how AWS supports responsible AI through the Shared Responsibility Model, Guardrails in Bedrock, and compliance monitoring. Learn practical steps for building trustworthy AI solutions.
9 Nov 2025
Ep 8: Fairness, Bias, and Explainability
Ethics meet engineering in this episode. Understand the types of bias that appear in AI systems and how tools like SageMaker Clarify and Model Cards help ensure fairness and transparency.
9 Nov 2025
Ep 7: Text and Speech AI
Discover how AWS brings language to life with Comprehend, Transcribe, Polly, and Translate. From real-time transcription to multilingual chatbots, learn how these tools turn text and speech into insights.
9 Nov 2025
Ep 6: Vision AI with Rekognition
Dive into computer-vision use cases: object detection, facial analysis, and content moderation. See how Amazon Rekognition enables image and video intelligence for industries from retail to security.
9 Nov 2025
Ep 5: Hands-On with Amazon Bedrock and Generative AI
Explore the world of generative AI inside Amazon Bedrock. Learn how foundation models create text, images, and conversations—and how prompt engineering can unlock smarter, safer outputs.
9 Nov 2025
Ep 4: AWS AI/ML Stack Overview
Meet the AWS AI family: SageMaker, Bedrock, Comprehend, Rekognition, Transcribe, Polly, and Translate. Learn what each service does, when to use it, and how managed AI simplifies development.
9 Nov 2025
Ep 3: Data Science Workflow Basics
Follow the full data-science lifecycle—from data collection and cleaning to model deployment and monitoring. Understand MLOps best practices and how AWS tools like SageMaker Model Monitor keep models reliable.
9 Nov 2025
Ep 2: Machine Learning vs Deep Learning
Unpack how traditional ML models and deep neural networks differ. Discover when to use each, what data they need, and how AWS SageMaker powers both. Includes real-world examples and performance trade-offs.
9 Nov 2025
Ep 1: What is Artificial Intelligence?
Kick off the series by defining artificial intelligence and exploring how it mimics human cognition. Learn how AI, machine learning, and deep learning connect—and why understanding their differences matters for the AWS Certified AI Practitioner exam.
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