DeepSeek AI: From Fundamentals to Applications

About this course

Model choice is now an architecture decision, not a default. DeepSeek gives teams open weight models they can call through a hosted API or run on their own infrastructure, and this Specialization covers building applications on either. You start with API integration, prompt design, and a conversational developer assistant. You then make responses reliable through schemas, validation, tool calling, and retrieval, and finish with agents that plan, act under human approval, and run behind a deployed endpoint. By the end of this Specialization, you will be able to:

• Integrate the DeepSeek API with secure key handling and resilient request logic.
• Design and version prompts for explanation, debugging, refactoring, and testing.
• Return validated structured output using JSON schemas and Pydantic models.
• Connect calculators, external APIs, and databases through function calling.
• Build retrieval augmented generation grounded in your own document collections.
• Deploy an evaluated, containerized agent behind a FastAPI service. This Specialization suits software developers, AI engineers, backend engineers, and technical leads assessing open weight models for real workloads. It assumes working Python and comfort calling APIs, and no background in LLM application development, retrieval, or agents. Enroll now to build DeepSeek applications you can evaluate, secure, and deploy.

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