Free Course Download100% Free Direct MP4 LinksAI, Machine Learning & Data Science2025-5 Edition

Download Maven – Agentic AI System Design for PMs Course for Free

Download the complete Maven – Agentic AI System Design for PMs video course for free with high-definition MP4 video lectures, project exercise archives, and step-by-step masterclasses. Learn offline at your own pace with zero paywalls or recurring subscriptions.

6Lectures

9Total Hours

3338.1MB Total Size

MP4 / 1080p HD

Instructor: Gabriela de Queiroz

English

Beginner to advanced

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What You'll Master in this Free Download Course

Deep understanding of the generative AI landscape and the difference between simple tools and enterprise-grade agent-based systems.

Identify and prioritize AI use cases in various industries such as fintech, supply chain, and manufacturing.

Working with No-Code tools for rapid prototyping of intelligent agents.

Using low-code approaches to create more complex systems with autonomous decision-making capabilities.

Designing AI systems based on first principles and considering scale and security constraints.

Managing multi-agent workflows and coordinating between different agents.

Strategies for deploying artificial intelligence in organizational environments while respecting privacy and security standards.

How to measure business value and ensure AI outputs lead to real business change.

About this Free Download Course

Agentic AI System Design for PMs. This course helps product managers and business leaders move beyond simple tools to design and build agentic AI systems for organizations. In an era where generative AI is redefining business and software, this program bridges the gap between hype and practical solutions to solve the core challenge organizations face: identifying use cases with tangible ROI. Unlike purely technical courses, the emphasis is on the “what” and “why,” and addresses the critical needs of non-technical leaders by prioritizing use case identification, business value assessment, and strategic deployment considerations. Delivered at institutions such as Stanford and UCLA, the course content is divided into two main sections: working with no-code tools and low-code approaches to designing complex agents, and teaches how to build systems from the ground up rather than teaching specific frameworks. Participants in this program will learn how to manage real-world constraints such as scalability, guardrails, multi-agent workflows, and domain-specific adaptation, and will ultimately be able to identify, build, and deploy productive AI applications amidst the hype.

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