Generative AI for Python Backend Developers

About this course

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 LearnCore 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 Features40+ 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

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