Build Real-World Agentic AI Systems & Automation with Python

Python打造智能自动化AI系统实战

本课程教你用Python构建自主决策、多智能体协同的AI系统，涵盖CrewAI、LangGraph等框架。通过HR招聘平台等真实项目，掌握API集成、简历解析与自动化业务流，提升AI工程实战能力。

课程“Build Real-World Agentic AI Systems & Automation with Python”专注于教授如何使用 Python 构建具备自主决策能力、多智能体协同的 AI 系统，包含工具集成、自动市场调研等实战项目。课程旨在提升开发者利用 CrewAI、LangGraph 等主流框架构建自动化业务流的技能。

Published 6/2026
Created by Rahmat M
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 47 Lectures ( 8h 46m ) | Size: 6.3 GB

Learn Agentic AI step by step by building a real HR recruitment platform with APIs, resume analysis, AI evaluation, auth

What you’ll learn
⚡ Build real-world AI agents using Python, FastAPI, and modern backend architecture.
⚡ Learn Agentic AI concepts including planning, tools, memory, and automation systems.
⚡ Create production-ready AI APIs that can connect to websites and mobile apps.
⚡ Build a complete HR AI recruitment platform from scratch using Python.
⚡ Parse PDF resumes and evaluate candidates using AI-powered workflows.
⚡ Design scalable AI agent systems with authentication, API keys, and secure APIs.
⚡ Deploy AI agent backends online using PostgreSQL and production configs.
⚡ Learn how AI agents differ from chatbots, automation, and workflow systems.
⚡ Build AI-powered automation systems that perform real business tasks automatically.
⚡ Create API key platforms similar to OpenAI and Gemini for external integrations.
⚡ Understand production AI engineering including logging, error handling, and deployment.
⚡ Build SaaS-style AI products with recruiter dashboards, applicant tracking, and AI evaluation systems.

Requirements
❗ Basic Python knowledge is recommended. You should understand variables, functions, and basic programming concepts.
❗ No prior AI or machine learning experience is required. Everything about Agentic AI is taught step by step.
❗ A computer capable of running Python development tools such as VS Code is required.
❗ Basic understanding of web applications or APIs is helpful but not mandatory.
❗ No frontend experience is required because the frontend part will be simplified and partially AI-generated.

Description
Become an AI Agent Engineer byBuilding Real Deployable AI Systems — Not Just AI Demos

Most 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 scalereal-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-styleAI Agent API platformfrom 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 systems

✨ API-first AI services

✨Deployable AI platforms

✨ Authentication systems

✨ Recruiter and applicant workflows

✨API key systems like OpenAI/Gemini

✨ Production deployment

✨ SaaS-style engineering

By the end of the course, you will have built a completeAI-powered HR recruitment platform that can

✨evaluate resumes automatically

✨ compare applicants against job descriptions

✨generate AI decisions

✨send automated emails

✨ expose public APIs

✨ issue API keys to external users

✨ allow websites and apps to connect directly to your AI system

What You Will Build
Throughout the course, you will build a complete production-styleHR AI Agent platform.

The system will include

Recruiter Features
✨ Recruiter signup and login

✨ Secure authentication

✨ Create and manage jobs

✨ Recruiter dashboard

✨ Applicant tracking

✨AI evaluation results

Applicant Features
✨ Public job listing APIs

✨ Job details

✨ Resume/CV upload

✨ AI evaluation processing

AI Agent Features
✨ Resume parsing

✨AI resume evaluation

✨Resume vs job-description comparison

✨ Structured AI scoring

✨ Shortlist/reject decisions

✨AI-generated evaluation reasoning

✨Automated rejection and shortlist emails

Production API Platform Features
✨ API key generation system

✨ API authentication

✨ Public AI agent APIs

✨ External app integration

✨ Usage tracking

✨ Deployable backend architecture

Production Engineering Features
✨ FastAPI backend

✨ PostgreSQL database

✨ JWT authentication

✨ Environment variable management

✨ Logging

✨ Error handling

✨ Deployment

✨ SaaS-ready architecture

What You Will Learn
You will learn both the theory and practical engineering ofAgentic AI.

Agentic AI Foundations
✨ Generative AI vs Agentic AI

✨ What AI agents are

✨ How AI agents work

✨ Types of AI agents

✨ Tool-using agents

✨ Planning agents

✨ Memory systems

✨ Reflection / Reflexion agents

✨ Self-improving agents

✨ Human-in-the-loop systems

✨ AI agent limitations

✨ Hallucination and failure handling

✨ Automation vs AI agents

✨ Workflow systems vs agentic systems

Backend & API Engineering
✨ FastAPI

✨ REST APIs

✨ SQLAlchemy

✨ Pydantic

✨ PostgreSQL

✨ Authentication systems

✨ API architecture

✨ File upload systems

✨ Secure API design

✨ API key systems

AI System Engineering
✨Resume parsing

✨AI evaluation pipelines

✨Structured JSON outputs

✨Prompt engineering for production systems

✨AI workflow orchestration

✨AI error handling

✨AI decision storage

✨AI observability concepts

Why This Course Matters
The future of AI is not just chatting with models.

The future is

✨ AI agents

✨ AI APIs

✨ Autonomous workflows

✨ intelligent backend systems

✨ AI-powered SaaS products

Companies increasingly need developers who understand how to

✨ integrate AI into products

✨ design reliable AI workflows

✨ expose AI systems through APIs

✨ deploy AI-powered bac es

✨ build scalable AI infrastructure

This course focuses exactly on those real-world skills.

This Course Is NOT
This course is NOT

✨ a Python beginner course

✨ a chatbot-only course

✨ a no-code automation course

✨ a simple prompt engineering course

✨ a notebook-demo course

Basic Python knowledge is required.

This Course IS
This course IS

✨ practical

✨ production-focused

✨ beginner-friendly in explanation

✨ deeply technical in implementation

✨ focused on real systems

✨ focused on modern AI backend engineering

Who this course is for
⭐ Python developers who want to build real-world AI agents and production AI systems.
⭐ Backend developers interested in AI APIs, automation workflows, and scalable AI architecture.
⭐ Developers who want to move beyond simple chatbots and build deployable AI products.
⭐ Students interested in Agentic AI, AI automation, and real business-focused AI applications.
⭐ Freelancers and software engineers who want to offer AI agent development services to clients.
⭐ SaaS founders and startup builders who want to integrate AI agents into their products.
⭐ Engineers who want practical experience deploying AI agents online with production-ready architecture.