CredentialFeb 2025
AI DEVS 3 (Agents)
BRAVE
Hands-on course work around LLM APIs, multimodality, AI integrations, vector search, and practical agent-building patterns.
What we covered
- Interacting with LLM APIs, prompt design, prompt evaluation, observability, and model-provider workflows.
- Multimodality in practice, including text, audio, image, and long-form document processing.
- AI integration and interfaces across structured and unstructured data, vector search, tool use, and deployment constraints.
- Building agents with multi-step logic, external integrations, safety constraints, and long-term memory patterns.
Why it mattered in practice
- It accelerated my move from frontend-heavy product work into building real AI workflows and interfaces.
- The course content maps directly to projects like Fotelik, where retrieval, structure, and human-in-the-loop tooling mattered.
- It also sharpened my understanding of where agent systems help and where strong constraints are more important than autonomy.
Certificate
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LLM APIs, multimodality, AI integrations, vector search, agents, and long-term memory patterns for AI systems.
Credential ID: da8dad7b-2961-4ae3-a17a-c3619e00e886
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