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.