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Md Danish Ali

Menjadi anggota sejak 2024

Mengembangkan Aplikasi GenAI dengan Gemini dan Streamlit Earned Agu 21, 2026 EDT
Merekayasa Agen AI dengan Agent Development Kit (ADK) Earned Mei 29, 2026 EDT
Advanced Conversation Design Earned Des 1, 2024 EST
Dasar-Dasar Desain Percakapan Earned Des 1, 2024 EST
Implement Enterprise Design Patterns with CX Agent Studio Earned Des 1, 2024 EST
Conversational AI Voice and Chat Integrations Earned Des 1, 2024 EST
[DEPRECATED] Advanced Performance Measurement Earned Des 1, 2024 EST
[DEPRECATED] Basic Performance Measurement Earned Des 1, 2024 EST
[Deprecated] Advanced Webhook Concepts Earned Nov 30, 2024 EST
[DEPRECATED] Webhook fundamentals Earned Nov 30, 2024 EST

Selesaikan badge keahlian tingkat menengah Mengembangkan Aplikasi GenAI dengan Gemini dan Streamlit untuk menunjukkan keterampilan dalam hal berikut: membuat teks, menerapkan panggilan fungsi dengan Python SDK dan Gemini API, serta men-deploy aplikasi Streamlit dengan Cloud Run. Anda akan mempelajari berbagai cara memberikan perintah kepada Gemini untuk membuat teks, menggunakan Cloud Shell untuk menguji dan melakukan iterasi pada aplikasi Streamlit, lalu mengemasnya sebagai container Docker yang di-deploy di Cloud Run.

Pelajari lebih lanjut

Dapatkan badge keahlian tingkat menengah Merekayasa Agen AI dengan Agent Development Kit (ADK) dengan menyelesaikan kursus ini untuk menunjukkan keahlian Anda dalam hal berikut: merumuskan masalah riset model bahasa di dunia nyata; membangun tokenizer sederhana; menyiapkan set data untuk melatih model bahasa transformer; menjalankan loop pelatihan model bahasa kecil.

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In this course, you will learn the advanced conversational design principles for both the Voice and Caht channels to craft engaging and effective end-to-end experiences that emulate human-like interactions.

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Kursus ini akan membahas prinsip dasar desain percakapan untuk membuat pengalaman chatbot yang menarik dan efektif yang meniru pengalaman mirip manusia.

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This course explores using enterprise design patterns to build scalable, reliable, and secure agents within CX Agent Studio. Additionally, it covers navigating the complete development lifecycle by deploying multi-layered application security and locking down cloud infrastructure perimeters. It details the core pillars of multi-turn session persistence and real-time audio supervision to facilitate safe, continuous conversational experiences.

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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.

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In this course, you will learn about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX

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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it

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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Virtual Agent self-service experiences.

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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.

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