Agentic AI Engineering with Python: Build Real AI Agents | Udemy [Update 05/2026]
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Genre: eLearning[/center]

Build production-ready AI agents for websites & mobile apps with Python. Learn MCP, AI evaluation, APIs, authentication

What you'll learn:
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[*]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.
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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
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[*]Production backend systems
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[*]API-first AI services
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Deployable AI platforms
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[*]Authentication systems
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[*]Recruiter and applicant workflows
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API key systems like OpenAI/Gemini
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[*]Production deployment
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[*]SaaS-style engineering
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By the end of the course, you will have built a complete AI-powered HR recruitment platform that can:
evaluate resumes automatically
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[*]compare applicants against job descriptions
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generate AI decisions
send automated emails
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[*]expose public APIs
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[*]issue API keys to external users
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[*]allow websites and apps to connect directly to your AI system
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What You Will Build
Throughout the course, you will build a complete production-style HR AI Agent platform.
The system will include:
Recruiter Features
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[*]Recruiter signup and login
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[*]Secure authentication
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[*]Create and manage jobs
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[*]Recruiter dashboard
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[*]Applicant tracking
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AI evaluation results
Applicant Features
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[*]Public job listing APIs
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[*]Job details
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[*]Resume/CV upload
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[*]AI evaluation processing
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AI Agent Features
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[*]Resume parsing
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AI resume evaluation
Resume vs job-description comparison
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[*]Structured AI scoring
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[*]Shortlist/reject decisions
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AI-generated evaluation reasoning
Automated rejection and shortlist emails
Production API Platform Features
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[*]API key generation system
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[*]API authentication
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[*]Public AI agent APIs
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[*]External app integration
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[*]Usage tracking
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[*]Deployable backend architecture
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Production Engineering Features
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[*]FastAPI backend
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[*]PostgreSQL database
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[*]JWT authentication
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[*]Environment variable management
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[*]Logging
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[*]Error handling
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[*]Deployment
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[*]SaaS-ready architecture
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What You Will Learn
You will learn both the theory and practical engineering of Agentic AI.
Agentic AI Foundations
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[*]Generative AI vs Agentic AI
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[*]What AI agents are
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[*]How AI agents work
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[*]Types of AI agents
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[*]Tool-using agents
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[*]Planning agents
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[*]Memory systems
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[*]Reflection / Reflexion agents
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[*]Self-improving agents
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[*]Human-in-the-loop systems
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[*]AI agent limitations
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[*]Hallucination and failure handling
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[*]Automation vs AI agents
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[*]Workflow systems vs agentic systems
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Backend & API Engineering
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[*]FastAPI
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[*]REST APIs
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[*]SQLAlchemy
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[*]Pydantic
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[*]PostgreSQL
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[*]Authentication systems
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[*]API architecture
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[*]File upload systems
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[*]Secure API design
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[*]API key systems
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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:
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[*]AI agents
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[*]AI APIs
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[*]Autonomous workflows
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[*]intelligent backend systems
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[*]AI-powered SaaS products
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Companies increasingly need developers who understand how to:
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[*]integrate AI into products
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[*]design reliable AI workflows
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[*]expose AI systems through APIs
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[*]deploy AI-powered bac es
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[*]build scalable AI infrastructure
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This course focuses exactly on those real-world skills.
This Course Is NOT
This course is NOT:
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[*]a Python beginner course
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[*]a chatbot-only course
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[*]a no-code automation course
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[*]a simple prompt engineering course
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[*]a notebook-demo course
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Basic Python knowledge is required.
This Course IS
This course IS:
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[*]practical
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[*]production-focused
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[*]beginner-friendly in explanation
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[*]deeply technical in implementation
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[*]focused on real systems
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[*]focused on modern AI backend engineering
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Who This Course Is For
This course is perfect for:
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[*]Python developers
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[*]backend developers
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[*]AI engineers
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[*]SaaS founders
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[*]freelancers
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[*]students interested in AI engineering
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[*]developers who want to build real AI products
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[*]anyone who wants to move beyond basic AI demos
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Technologies Used
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[*]Python
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[*]FastAPI
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[*]SQLAlchemy
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[*]PostgreSQL
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[*]Pydantic
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[*]JWT Authentication
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[*]PDF Resume Parsing
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[*]API Key Systems
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[*]AI APIs (OpenAI/Gemini style integrations)
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By the End of This Course
You will be able to:
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[*]build production AI agents
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[list]
[*]create deployable AI APIs
[/list]
[list]
[*]design real AI workflows
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[list]
[*]build AI-powered backend systems
[/list]
[list]
[*]expose AI systems to external applications
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[list]
[*]issue API keys like modern AI platforms
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[*]deploy scalable AI products online
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[*]create your own AI SaaS ideas
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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.

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.

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