Generative AI for Developers

What you'll learn

• API & SDK Integration: Programmatically interact with proprietary and open-source LLMs using standard REST APIs and developer SDKs.
• Retrieval-Augmented Generation (RAG): Design and build end-to-end RAG pipelines by chunking documents, generating embeddings, and performing semantic search in vector databases.
• Function Calling & Tool Use: Enable AI models to dynamically execute backend functions, call external APIs, and query database systems.
• Agentic Workflows: Implement autonomous agent architectures that plan, use tools, and loop through multi-step reasoning tasks.
• Production Deployment & Safety: Implement structured output schemas (JSON/Pydantic), optimize token costs, mitigate prompt injection, and enforce response guardrails.