Course Overview
- Course Title: Agentic AI for Product Owners: Strategy & Solutions
- Instructor: Vivian Aranha (AI Specialist, IT Professional Trainer, Principal Engineer)
- Target Audience:
- Product Owners and Product Managers in AI-driven environments
- Non-technical stakeholders in tech companies evaluating AI adoption
- Team leads, strategy heads, and operations managers exploring AI tools
- Professionals seeking AI literacy without coding or technical backgrounds
- Prerequisites:
- No technical or coding experience required
- No prior AI, machine learning, or programming knowledge needed
- Basic understanding of product workflows or user journeys (helpful but not mandatory)
- Curiosity about AI tools and strategic thinking for AI-powered initiatives
Curriculum Highlights
- Key Topics Covered:
- Agentic AI fundamentals vs. traditional AI and chatbots
- Core components of AI agents: LLMs, tools, memory, autonomy, and goals (explained non-technically)
- Real-world AI agent use cases in workflows and customer experiences
- AI orchestration, prompt engineering, and retrieval-augmented generation (RAG)
- Ethical risks, privacy, and AI safety in deployment
- Stakeholder communication for engineers, designers, and legal teams
- MVP scoping for AI agents based on value, feasibility, and user needs
- Key Skills Learned:
- Draft business-focused AI agent pitches without technical jargon
- Identify and evaluate AI use cases aligned with product goals
- Scope and prioritize agentic AI projects with MVP thinking
- Simulate stakeholder meetings and respond to AI-related questions confidently
- Navigate AI ethics, compliance, and human-in-the-loop safety mechanisms
Course Format
- Duration: 1.5 hours on-demand video
- Format: Self-paced online course (lifetime access)
- Resources:
- Access on mobile and TV
- Certificate of completion
- No downloadable materials or quizzes (focus on video lectures)
Additional Information
- Course Tags/Keywords:
- Agentic AI, AI for product managers, non-technical AI training, AI agent solutions, AI product strategy, LLM orchestration, AI ethics, AI MVP scoping, AI stakeholder communication, intelligent automation, AI use case identification, no-code AI