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Generative AI for Python Backend Developers
Rating: 5.0 out of 5(9 ratings)
39 students

Generative AI for Python Backend Developers

Learn how to integrate Generative ai in your backend projects and tasks easily
Created byMahmoud Ahmed
Last updated 9/2025
Arabic
Arabic [Auto],

What you'll learn

  • A Practical Understanding of Generative AI: Learn the core concepts behind large language models (LLMs), vector databases, agents, and how these tools can be us
  • Hands-On Backend Integration Skills: Master the process of connecting AI models and tools to web backends using frameworks like Flask and
  • Real-World Project Experience: Build and deploy actual backend features such as chatbots, permission-based data retrieval, and automated document data extractio
  • Modern Backend Tooling: Work with Docker, Celery, and WebSockets to create scalable AI services
  • Security and Permissions: Implement robust authentication, authorization, and data privacy measures in AI-enabled systems.
  • End-to-End Development Workflow: From Python basics to advanced backend operations, students will learn how to design and build AI-powered backend solu

Course content

13 sections • 67 lectures • 39h 35m total length

  • Introduction17:21
  • Course Notes11:39
  • Course Resources0:03

Requirements

  • Basic Python knowledge (data types, loops, functions).
  • No previous experience with AI, Flask, or FastAPI required—everything is taught from scratch

Description

Unlock the power of Generative AI in real-world backend projects with this comprehensive, hands-on course designed for backend developers seeking to bridge the gap between AI and backend systems. Whether you’re a Python developer, backend engineer, or aspiring full-stack data scientist, this course will equip you with the practical skills and deep understanding needed to integrate Generative AI tools and concepts into production-ready backend solutions.

What You’ll Learn

  • Core Concepts of Generative AI: Understand the fundamentals of large language models (LLMs), vector databases, agents, and data handling, with a focus on practical backend integration.

  • AI-Backend Integration: Learn how to connect AI models and tools (like Hugging Face) to web backends using frameworks such as Flask and FastAPI.

  • Real-World Use Cases: Tackle real backend challenges, including user management, permissions, and secure data access in AI-powered systems.

  • Modern Backend Stack: Master Docker, Celery, and WebSockets for scalable, production-grade AI services.

  • Custom AI Solutions: Build and extend chatbots, automate data extraction, and implement advanced features like streaming responses and permission-based data retrieval.

  • Project-Based Learning: Apply your knowledge through real-life projects and case studies inspired by actual industry needs, not just toy examples.

Course Features

  • 40+ Hours of Interactive, Live Instruction: Delivered over Zoom with recorded sessions available for review, ensuring you never miss a detail.

  • Practical Workshops & Open Discussions: Regular live sessions dedicated to solving real-world cases, brainstorming solutions, and collaborative coding.

  • Comprehensive Notebooks & Resources: All theoretical and practical content is provided as interactive notebooks, hosted on GitHub.

  • Accessible for All Levels: Starts from Python basics, with step-by-step introductions to Flask, FastAPI, and all AI tools—no prior AI or advanced math required.

  • End-to-End Backend Coverage: Covers everything from foundational backend operations to advanced AI integration, including API design, database management (SQL and vector DBs), and deployment with Docker.

  • Cutting-Edge Tools: Work with open-source LLMs, LangChain, Streamlit, and more, focusing on cost-effective, scalable solutions.

  • Real-World Security & Permissions: Learn how to implement authentication, authorization, and data privacy in AI-enabled backend systems.

Who this course is for:

  • Backend Developers who want to integrate Generative AI into their projects and build real-world, production-ready AI features.
  • Python Developers aiming to expand their skillset into AI-powered backend systems.
  • Full-Stack Developers interested in mastering the backend aspects of AI applications, including APIs, databases, and security.
  • Technical Enthusiasts and Career Changers who want to gain practical, job-ready experience with Generative AI and backend integration, regardless of prior AI experience.

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