Unlock the power of multimodal AI by combining cutting-edge vision and language models to build sophisticated intelligent applications. This comprehensive pro course guides you through architecting production-ready systems that understand both images and text, enabling you to create solutions that perceive visual information and reason about it in natural language. Throughout this course, you'll build three real-world applications: a visual question-answering system that answers questions about images, a document analyser that extracts and understands complex information from scanned documents, and an innovative image-to-code generator that converts design mockups into functional code. You'll master production patterns, implement robust error handling, manage edge cases, and make architectural decisions that scale. Designed for intermediate developers ready to move beyond basics, this course emphasises production-grade code, performance optimisation, cost management, and enterprise-level patterns. Learn how to integrate multiple API calls efficiently, handle rate limiting, cache results intelligently, and build systems that remain reliable and cost-effective at scale.

Lessons

  1. Foundations: Multimodal Models & Architecture — Understanding vision-language model capabilities, limitations, and production architecture patterns for multimodal systems (+100 XP)
  2. Building a Visual Question-Answering System — Design and implement a production VQA system with context management, error handling, and performance optimisation (+120 XP)
  3. Production Patterns: API Integration & Error Handling — Master rate limiting, retries, circuit breakers, caching strategies, and comprehensive error handling for multimodal APIs (+110 XP)
  4. Document Analysis Engine — Build a sophisticated document analyser with OCR fallbacks, structured extraction, layout understanding, and edge case handling (+130 XP)
  5. Image-to-Code Generator — Create an intelligent system that converts design mockups into functional React code with iterative refinement and validation (+140 XP)
  6. Scaling, Monitoring & Cost Optimisation — Implement logging, monitoring, performance profiling, cost tracking, and deployment strategies for production multimodal applications (+125 XP)
  7. Advanced: Multi-Model Orchestration & Custom Pipelines — Orchestrate multiple vision and language models, build custom pipelines, implement model selection logic, and optimise for specific use cases (+135 XP)