18 hours agoDevelopmentLearn Agentic AI step by step by building a real HR recruitment Agent with APIs, resume analysis, AI evaluation, auth
Course Description
Become an AI Agent Engineer by Building 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 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 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 complete AI-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-style HR 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 of Agentic 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
This course is perfect for:
Python developers
backend developers
AI engineers
SaaS founders
freelancers
students interested in AI engineering
developers who want to build real AI products
anyone who wants to move beyond basic AI demos
Technologies Used
Python
FastAPI
SQLAlchemy
PostgreSQL
Pydantic
JWT Authentication
PDF Resume Parsing
API Key Systems
AI APIs (OpenAI/Gemini style integrations)
By the End of This Course
You will be able to:
build production AI agents
create deployable AI APIs
design real AI workflows
build AI-powered backend systems
expose AI systems to external applications
issue API keys like modern AI platforms
deploy scalable AI products online
create your own AI SaaS ideas
You will not only understand Agentic AI conceptually —
you will know how to engineer and deploy it in real-world systems.
Start building real AI agent systems today.
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