How to Prepare for AI Agent Engineer Jobs | AI Engineer Interview Guide & Hands-On Path
Автор: Atul @ K21Academy
Загружено: 2025-05-28
Просмотров: 2269
👉Download interview question guide: https://bit.ly/3Fyv73p
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In this video on how to prepare for AI Agent Engineer jobs, you'll discover everything you need to land a role as an AI Agent Engineer or Agentic AI Engineer.
From a clear explanation of AI agents and their types—like utility-based, goal-based, and learning-based agents—to deep dives into popular AI frameworks such as LangChain, AutoGPT, and Microsoft’s Semantic Kernel, this guide covers it all.
Learn how to build, test, and deploy AI agents using Python, FastAPI, Docker, and Kubernetes, along with essential CI/CD and MLOps fundamentals for AI projects.
Get expert tips on interview preparation, including domain-specific questions and strategies, and explore AI tools on AWS, Azure, and Google Cloud.
Whether you’re a beginner or advancing your AI career, follow the step-by-step learning path outlined here to master the skills required for success.
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✅ Timestamps:
0:00 Introduction to AI Agent Engineer roles
0:40 Understanding AI agents and their characteristics
1:10 Types of AI agents explained
3:00 Overview of AI agent frameworks
4:50 Single vs Multi-agent systems
5:10 Hands-on example: Building a simple AI agent with LangChain and OpenAI GPT
6:00 Deploying AI agents using Docker and Kubernetes
7:00 Essential skills: Python, DevOps, LLMs, API development
8:30 Preparing for AI engineer interviews: Questions & strategies
9:50 AI tools across AWS, Azure, and Google Cloud
10:30 Your AI engineer learning path and next steps
11:30 How to get interview questions & code examples
12:00 Join the free masterclass for AI job success
About Me:
I’m Atul, an IT professional with 25+ years of experience, including over 15 years in Cloud, AI, and Machine Learning. I’ve helped thousands worldwide land their dream AI roles. Let me guide you on your journey from beginner to expert AI engineer!

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