Study Plan for AI Roles

Khushboo Patil

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Study Plan for AI Roles
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499
30 mins

With the rapid evolution of Generative AI, Agentic frameworks, and production-level system design, knowing what to study can be more challenging than learning it. This 1:1 strategy session is designed to cut through the noise and give you a clear, personalized study roadmap tailored to your current experience and target AI roles.

What We Will Cover:

  1. Custom Skill Roadmap: Identify critical skill gaps and prioritize core areas—including Agentic Workflows (LangChain, LangGraph), Responsible AI frameworks, RAG architectures, and Context Engineering.
  2. Structured Learning Plan: Get a curated list of top-tier resources, projects, and practical milestones tailored to your timeline.
  3. Interview Preparation Strategy: Learn how technical interviews for AI Engineering/Analyst roles are structured, key concepts frequently tested, and strategies to demonstrate problem-solving ability.
  4. Portfolio & Project Positioning: Guidance on how to showcase real-world projects and open-source contributions effectively on your resume and LinkedIn.

Who Is This For?

  1. Software developers, engineers, or data professionals looking to transition into AI Engineering roles.
  2. Students or early-career professionals seeking clear guidance on industry expectations.
  3. Candidates preparing for upcoming AI technical interviews who need an actionable preparation strategy.