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ML vs GenAI vs Agnetic - A Clear Career Roadmap

  • Fri, Jan 23, 11AM (EDT)
  • Live Virtual Session

In a world saturated with AI hype, this masterclass provides a high-level, strategic bridge between traditional Machine Learning (ML), the creative power of Generative AI (GenAI), and the next frontier: Agentic AI.

While ML predicts and GenAI creates, Agentic AI acts. This session isn’t just a technical overview; it’s a career-focused deep dive into how these technologies are converging. You will move beyond being a “prompt user” to understanding how to build and manage “AI Teammates” that drive real business ROI.

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ML vs GenAI vs Agnetic - A Clear Career Roadmap

What You’ll Learn?

  • The Evolutionary Path: How we moved from static ML models to dynamic LLMs and finally to autonomous agents.
  • Architectural Shifts: Understanding the difference between a “prompt-response” system and an “agentic workflow.”
  • The AI Orchestrator Skillset: Why 2026 is the year of the “AI Manager”—learning to delegate tasks to multi-agent systems.
  • Tooling & Ecosystems: A look at the frameworks driving this change (e.g., LangGraph, CrewAI) and the emergence of the Model Context Protocol (MCP).
  • Career Roadmap: Identification of high-demand roles like AI Agent Architect and Chief of Staff for AI.

Who Should Attend?

This masterclass is curated for individuals who want to lead rather than follow the AI wave:

  • Tech Professionals: Developers and Data Scientists looking to pivot from traditional ML to Agentic engineering.
  • Business Leaders & CXOs: Decision-makers who need to understand the ROI and security implications of autonomous AI.
  • Product Managers: Those responsible for defining the next generation of AI-native products.
  • Career Switchers: Aspiring AI enthusiasts from non-tech backgrounds who want to understand the “big picture” before diving into specific tools.

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