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Certified - Advanced AI Audio Course
Jason Edwards
51 episodes
5 days ago
The Advanced Artificial Intelligence Audio Course is a focused, audio-first series that takes you deep into the technical foundations and emerging challenges of modern AI systems. Designed for professionals, students, and certification candidates, this course explains advanced AI concepts through clear, structured narration—no slides, no filler, just direct, practical learning. Each episode unpacks core topics such as neural architectures, model embeddings, optimization, interpretability, and evaluation, showing how these elements come together to create powerful and reliable AI systems. Whether you’re working in development, research, or applied security, the course helps you understand how modern models are designed, trained, and deployed in real-world environments. Beyond architecture and algorithms, this Audio Course also explores the resilience and trustworthiness of AI—examining attack surfaces, data poisoning, model inversion, and the security controls needed to protect AI systems throughout their lifecycle. It provides insight into ethical risks, bias mitigation, governance frameworks, and assurance practices that keep advanced models safe and compliant. You’ll learn how leading organizations balance innovation with reliability, and how these same principles can guide your own technical and professional growth. Developed by BareMetalCyber.com, the Advanced Artificial Intelligence Audio Course delivers in-depth, exam-aligned instruction that bridges theory with practical application. Each episode builds technical fluency while reinforcing best practices in AI design, operations, and governance—helping you think critically, work securely, and lead confidently in the evolving world of intelligent systems.
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All content for Certified - Advanced AI Audio Course is the property of Jason Edwards and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
The Advanced Artificial Intelligence Audio Course is a focused, audio-first series that takes you deep into the technical foundations and emerging challenges of modern AI systems. Designed for professionals, students, and certification candidates, this course explains advanced AI concepts through clear, structured narration—no slides, no filler, just direct, practical learning. Each episode unpacks core topics such as neural architectures, model embeddings, optimization, interpretability, and evaluation, showing how these elements come together to create powerful and reliable AI systems. Whether you’re working in development, research, or applied security, the course helps you understand how modern models are designed, trained, and deployed in real-world environments. Beyond architecture and algorithms, this Audio Course also explores the resilience and trustworthiness of AI—examining attack surfaces, data poisoning, model inversion, and the security controls needed to protect AI systems throughout their lifecycle. It provides insight into ethical risks, bias mitigation, governance frameworks, and assurance practices that keep advanced models safe and compliant. You’ll learn how leading organizations balance innovation with reliability, and how these same principles can guide your own technical and professional growth. Developed by BareMetalCyber.com, the Advanced Artificial Intelligence Audio Course delivers in-depth, exam-aligned instruction that bridges theory with practical application. Each episode builds technical fluency while reinforcing best practices in AI design, operations, and governance—helping you think critically, work securely, and lead confidently in the evolving world of intelligent systems.
Show more...
Courses
Education,
Technology
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Episode 37 — Organizational Roles: Who Does What on an AI Team
Certified - Advanced AI Audio Course
31 minutes
2 months ago
Episode 37 — Organizational Roles: Who Does What on an AI Team

This episode explores the organizational roles necessary for building and sustaining AI systems. Teams often include data scientists, data engineers, machine learning engineers, product managers, ethicists, and business stakeholders. Understanding how these roles collaborate is essential for certification exams, which may test recognition of responsibilities and dependencies. Clear division of labor ensures that models are not only technically sound but also aligned with organizational goals and ethical standards.

We illustrate this with applied scenarios. Data engineers prepare and manage pipelines, while data scientists design and train models. Machine learning engineers focus on deployment and optimization, while product managers ensure outputs meet business needs. An ethicist or governance officer may review systems for fairness and compliance. Troubleshooting considerations include overlapping responsibilities or unclear accountability, which can slow projects or introduce risks. Best practices stress cross-functional communication, documentation, and iterative alignment across teams. Exam questions may describe team structures and ask which role is missing or responsible for a given task. By mastering organizational roles, learners understand the human foundation behind technical success. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your certification path.

Certified - Advanced AI Audio Course
The Advanced Artificial Intelligence Audio Course is a focused, audio-first series that takes you deep into the technical foundations and emerging challenges of modern AI systems. Designed for professionals, students, and certification candidates, this course explains advanced AI concepts through clear, structured narration—no slides, no filler, just direct, practical learning. Each episode unpacks core topics such as neural architectures, model embeddings, optimization, interpretability, and evaluation, showing how these elements come together to create powerful and reliable AI systems. Whether you’re working in development, research, or applied security, the course helps you understand how modern models are designed, trained, and deployed in real-world environments. Beyond architecture and algorithms, this Audio Course also explores the resilience and trustworthiness of AI—examining attack surfaces, data poisoning, model inversion, and the security controls needed to protect AI systems throughout their lifecycle. It provides insight into ethical risks, bias mitigation, governance frameworks, and assurance practices that keep advanced models safe and compliant. You’ll learn how leading organizations balance innovation with reliability, and how these same principles can guide your own technical and professional growth. Developed by BareMetalCyber.com, the Advanced Artificial Intelligence Audio Course delivers in-depth, exam-aligned instruction that bridges theory with practical application. Each episode builds technical fluency while reinforcing best practices in AI design, operations, and governance—helping you think critically, work securely, and lead confidently in the evolving world of intelligent systems.