Udemy – Agentic AI & Prompt Engineering Bootcamp: Build AI Employees
English | Tutorial | Size: 4.28 GB
Master RAG, Prompt Engineering, Automation, Safety, Debugging & Production AI Systems with Hands-On Projects
“This course contains the use of artificial intelligence”
Welcome to the AI Engineering Bootcamp: Build, Deploy & Scale AI Agents – a complete, hands-on course designed to take you from beginner to production-level AI engineer.
This course is not about just using AI tools. It’s about learning how to build real AI systems, create AI agents, and design AI-powered workflows that work in real-world environments. You’ll start by understanding the fundamentals of Agentic AI and what it truly means to build an AI Employee-a system that can think, act, automate, and operate continuously.
We begin with strong foundations in Prompt Engineering, where you’ll learn how LLMs think, how to design high-quality prompts, and how to use frameworks like Role → Task → Context → Output. You’ll then move into advanced prompting techniques including Chain of Thought (CoT), structured outputs (JSON), and prompt optimization, giving you professional-level control over AI behavior.
From there, you’ll set up your environment using tools like Claude Code, understand how to work with APIs, and build your first AI-powered workflow. You’ll then unlock one of the most powerful concepts in AI-memory and context, learning how to create agents that remember users and avoid hallucinations.
As you progress, you’ll build your first AI agent architecture, designing systems that process input → logic → output, and adding decision-making capabilities. Then comes the real transformation-creating autonomous workflows that run 24/7 using event-driven systems, cron jobs, and trigger-based automation.
You’ll go even deeper by building multi-agent systems, where multiple AI agents collaborate, delegate tasks, and execute workflows like real teams. Then, you’ll master one of the most in-demand enterprise skills-RAG (Retrieval-Augmented Generation)-allowing your AI to connect with custom data, improve accuracy, and reduce hallucinations.
The core of this course is your portfolio-ready projects, where you will build real-world systems including an AI Customer Support Agent, an AI Business Analyst, an AI Email Automation Agent, and a Task Automation Agent. These projects are designed to give you job-ready skills and practical experience.
Finally, you’ll learn how to take your systems to production with deployment, VPS setup, and running AI agents 24/7. You’ll also master optimization techniques like cost control, prompt efficiency, caching, performance tuning, and scaling AI systems.
To make you a complete AI engineer, the course ends with advanced topics in AI Safety, including handling hallucinations, testing AI outputs, implementing guardrails & validation, debugging workflows, and building monitoring systems for real-world reliability.
By the end of this course, you won’t just understand AI-you will be able to design, build, deploy, optimize, and scale production-ready AI systems.
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