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Overview
Post Graduate Program AdvantageBuild end-to-end expertise in Agentic AI, spanning planning systems, multi-agent coordination, and enterprise deployment. Designed for tech and product leaders, this program blends technical depth with business strategy to lead AI-native products.
Syllabus
- VT_AGI: Program Induction
- VT_AGI: Python Refresher with AI (Optional)
- VT_AGI: Foundations of AI & Agentic AI
- VT_AGI: Generative AI Tech Stack and Prompt Engineering
- VT_AGI: LLM Internals & Planning Systems
- VT_AGI: Multi-Agent Ecosystems (I)
- VT_AGI: Multi-Agent Ecosystems (II)
- VT_AGI: Model Context & Tooling Protocol
- VT_AGI: Metrics, GTM & ROI
- VT_AGI: Agentic UX Design & Transparency
- VT_AGI: Dev Tools & Product Readiness
- VT_AGI: Develop AI Agents on Azure (Microsoft)
- VT_AGI Workshop: Build with Claude Code, OpenClaw & Claude Design
- VT_AGI: Capstone - Product Strategy Simulation
- VT_AGI: Academic Masterclass
- VT_AGI: Develop Generative AI Apps in Azure (Microsoft)
- VT_AGI: Masterclass on Agentic AI Solutions Using Copilot Studio and AutoGen
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Reviews
1.0 rating, based on 1 Class Central review
4.3 rating at Simplilearn based on 287 ratings
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If you’re a software engineer with programming experience and already have a basic understanding of agentic AI—especially if you’ve taken AI courses through IBM—this course won’t add much value. The content is presented primarily from a product‑owner perspective, not a technical or developer‑focused one, so you may find it too high‑level and lacking in depth.