Training programme overview
Master building complete AI applications: streaming interfaces, secure backends, authentication, persistence, file handling, tool integration and deployment. A modular path covering foundations, APIs, frontend UX and testing/deployment.
Modern AI App Foundations: AI app architecture, streaming patterns, state management and real-time orchestration.
Backend APIs for AI: designing secure APIs, authentication, persistence and managing calls to models and external tools.
Frontend AI UX: designing conversational and streaming interfaces, managing user context and real-time feedback.
Testing and Deployment: testing strategies for AI components, CI/CD, observability and secure deployment.
Training · Intermediate
Courses included in this training programme
Modern AI App Foundations
Covers foundations of modern AI applications: product architecture (chat, files, tools, memory, evals), provider abstraction (Claude, OpenAI-compatible APIs, local models) and streaming UX with the AI response lifecycle.
4 lessons · 24 activities · 13 exercises · 3 videos
Backend APIs for AI
Details building AI backends with FastAPI project structure, async inference endpoints and streaming, auth, rate limits, input validation and audit logs, plus file uploads, background jobs, queues and storage.
4 lessons · 24 activities · 13 exercises · 3 videos
Frontend AI UX
Designing frontend UX for AI applications using Next.js App Router: handling chat states, prompt/file/settings forms, and accessible responsive behavior. Practical focus on integrating UX patterns specific to AI workflows.
4 lessons · 20 activities · 0 exercises · 3 videos
Testing and Deployment
Testing and deploying AI APIs and apps: unit and contract tests for AI endpoints, mocking providers and replaying conversations, deploying to cloud/serverless/container targets, and handling environment variables, secrets and release checklist.
4 lessons · 24 activities · 13 exercises · 3 videos
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