Hosted by Jason Edwards · 🇺🇸 US · EN · 51 episodes
Established thought leaders with verified media credentials.
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 syst
Jason Edwards hosts Certified - Advanced AI Audio Course, a education show with 51 episodes published.
This episode covers optimization and decision intelligence, which focus on choosing the best possible actions under constraints. Optimization techniques such as linear programming define objectives and constraints mathem
This episode introduces causal inference, which seeks to determine not just correlations but true cause-and-effect relationships. For certification purposes, learners should understand the difference between correlation
This episode explains time series analysis and forecasting, which focus on predicting values that evolve over time. Key concepts include trends, which capture long-term movements; seasonality, which reflects repeating cy
This episode introduces recommender systems, one of the most visible applications of AI in daily life. Recommenders filter and rank content or products based on user preferences, behaviors, and similarities across popula
This episode explores the realities of working with AI vendors, a critical skill as few organizations build every component in-house. Vendor relationships require careful evaluation of offerings, service-level agreements
This episode focuses on embedding ethics into AI development through practical guardrails. While high-level principles such as fairness and accountability provide guidance, practitioners need concrete methods to implemen
This episode examines AI agents, which extend models beyond text generation into action. Agents use planning and tool integration to execute tasks on behalf of users, such as querying databases, calling APIs, or chaining
This episode explores edge and on-device AI, where models run locally on hardware rather than in centralized cloud servers. Edge AI provides advantages in privacy, since data remains on the device; latency, because proce
This episode addresses the unique challenges of deploying AI in safety-critical sectors such as healthcare and finance. In these domains, errors can cause significant harm, from misdiagnosis in medicine to systemic risks
This episode explores the growing role of AI in cybersecurity, where the scale and speed of modern threats demand advanced detection and automation. AI techniques support intrusion detection, malware classification, phis
This episode addresses AI in operations and IT, focusing on forecasting and anomaly detection. Forecasting uses historical patterns to predict future values, such as demand or resource usage. Anomaly detection identifies
This episode explores how AI transforms marketing and sales functions through personalization and scoring. Personalization involves tailoring recommendations, messages, or offers based on customer data. Scoring applies p
This episode examines AI in customer support, one of the most common enterprise applications. Chatbots and virtual agents handle routine inquiries, while escalation paths route complex cases to human representatives. For
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
This episode examines change management in the context of AI adoption. AI systems are not just technical tools but organizational shifts, and their success depends heavily on how teams accept and integrate them. Change m
This episode addresses the critical task of evaluating AI systems beyond raw performance metrics. While accuracy and loss functions matter during development, organizations ultimately need to measure value — the tangible
This episode covers the legal and policy environment surrounding AI, an area increasingly tested in certification exams. Copyright concerns arise when models are trained on copyrighted material, raising questions about f
This episode introduces the security challenges unique to artificial intelligence systems. Unlike traditional software, AI models can be attacked through their training data, architecture, or outputs. Threats include dat
This episode covers data privacy and governance, critical areas for both ethical practice and regulatory compliance. Data privacy refers to protecting individual information from misuse, while governance involves managin
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Certified - Advanced AI Audio Course is hosted by Jason Edwards. The show is categorised under education (courses) and has published 51 episodes.
Certified - Advanced AI Audio Course has published 51 episodes.
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Episodes of Certified - Advanced AI Audio Course average 29 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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