Library / Artificial Intelligence

Agentic AI Engineering with Python: Build Real AI Agents

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About this course

Become an AI Agent Engineer by Building Real Deployable AI Systems — Not Just AI DemosMost AI courses stop at chatbots, notebooks, or small demos.

This course is different. In this course, you will learn how to design, build, deploy, and scale real-world AI agent systems that can be integrated into websites, mobile apps, SaaS products, and business platforms.

You will go far beyond basic prompt engineering and simple AI tools.

Instead, you will build a complete production-style AI Agent API platform from scratch using Python, LLM, FastAPI, PostgreSQL, API authentication, deployment workflows, and modern backend architecture.

This is a practical, developer-focused course designed to teach both the theory of Agentic AI and the engineering behind real AI products.

What Makes This Course Different?

This course teaches:

  • Real AI agent architecture
  • Production backend systemsAPI-first AI services
  • Deployable AI platforms
  • Authentication systems
  • Recruiter and applicant workflowsAPI key systems like OpenAI/GeminiProduction deployment
  • SaaS-style engineering

By the end of the course, you will have built a complete AI-powered HR recruitment platform that can:evaluate resumes automaticallycompare applicants against job descriptionsgenerate AI decisionssend automated emailsexpose public APIsissue API keys to external usersallow websites and apps to connect directly to your AI system

What You Will Build

Throughout the course, you will build a complete production-st

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