<ul><li>This hands-on journey involved writing code, testing models, calling APIs, deploying full apps, and solving real-world problems.</li><li>The core capabilities of Gemini and how flexible and powerful it is for generative apps were learned, along with making raw API requests.</li><li>Function calling allows code-like outputs and integration into workflows, paving the way for autonomous agents and smart assistants.</li><li>Transitioning from cURL to Python deepened the understanding of Gemini's multimodal strengths, essential for building production-grade applications.</li><li>The project involved API to frontend to full deployment, showcasing the ability to bring GenAI features to production.</li><li>Completing the skill badge equipped the author with the practical skills in demand by companies for building AI-powered applications.</li></ul>

Future-Proofing My Career with GenAI: Building Real-World Apps Using Gemini, Vertex AI &…

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