Certified - Advanced AI Audio Course

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 mathematically, allowing systems to ... more

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 and causation, as well as tool... more

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 cycles; and drift, which occurs ... more

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 populations. Core approaches include... more

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 (SLAs), and long-term commitm... more

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 implement them in projects. Guardrails... more

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 steps to solve complex proble... more