Name: Agentic AI for Product Owners: Strategy & Solutions
Availability: InStock

What You'll Learn

Explain what Agentic AI is and how it differs from traditional AI or chatbots
Identify and evaluate real-world use cases where AI agents can improve workflows or customer experiences
Understand the key components of an AI agent—like LLMs, tools, memory, autonomy, and goals—in plain language
Draft a business-focused product pitch for an AI agent without writing code or using technical jargon
Confidently communicate AI solutions to stakeholders, engineers, designers, and legal teams
Navigate common AI terms like prompt engineering, orchestration, and retrieval-augmented generation (RAG)
Scope a realistic AI agent MVP based on value, feasibility, and user needs
Understand ethical risks, privacy implications, and AI safety considerations when deploying AI agents

Requirements

No technical or coding experience required
No prior knowledge of AI, machine learning, or programming needed
Ideal for product owners, managers, and business professionals who work with tech teams
Curiosity about AI tools and a desire to lead AI-powered initiatives
Basic understanding of product workflows or user journeys is helpful, but not required
All you need is a willingness to learn, think strategically, and engage with AI concepts from a product perspective

Product leaders working on or exploring AI-enabled features
Team leads and decision-makers who need to evaluate or explain AI agent solutions
Operations, marketing, support, or finance professionals collaborating with AI and data teams
Founders, consultants, and strategists looking to stay ahead in an AI-driven market
Anyone who wants to understand Agentic AI in simple, strategic terms and lead with confidence in stakeholder discussions

AI Specialist | IT Professional Trainer | Principal Engineer

4.2 Instructor Rating

662 Reviews

92,245 Students

7 Courses

17.99 FREE 100% OFF

Expires in 3 days

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