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Junaid Mulla

Menjadi anggota sejak 2021

Diamond League

34165 poin
Agen AI Generatif: Mentransformasi Organisasi Anda Earned Mei 18, 2025 EDT
Aplikasi AI Generatif: Mentransformasi Pekerjaan Anda Earned Mei 18, 2025 EDT
AI Generatif: Memahami Lanskap Earned Mei 17, 2025 EDT
AI Generatif: Memahami Konsep Dasar Earned Mei 17, 2025 EDT
AI Generatif: Lebih dari Sekadar Chatbot Earned Mei 17, 2025 EDT
Mempercepat Pertukaran Pengetahuan dengan Gemini Enterprise Earned Mar 11, 2025 EDT
Configure and Maintain CCaaS as an Admin Earned Mar 6, 2025 EST
Manage Functions and Reporting with CCaaS Earned Mar 5, 2025 EST
Handle Consumer Interactions with CCaaS Earned Mar 4, 2025 EST
Responsible AI: Menerapkan Prinsip AI dengan Google Cloud Earned Jan 7, 2025 EST
Building Complex Self-Service Experiences in Conversational Agents Earned Okt 21, 2024 EDT
Incorporate Generative Features into Conversational Agent Flows Earned Okt 20, 2024 EDT
Generative Playbooks Earned Okt 19, 2024 EDT
Conversational AI Voice and Chat Integrations Earned Okt 19, 2024 EDT
Advanced Performance Measurement Earned Okt 19, 2024 EDT
Advanced Webhook Concepts Earned Okt 19, 2024 EDT
Build deterministic Virtual Agent enhanced with data stores Earned Okt 19, 2024 EDT
Extend CX Agents with Vertex AI Search data stores Earned Okt 18, 2024 EDT
Conversational Agents Quality Assurance and Deployment Lifecycle Earned Okt 18, 2024 EDT
Webhook fundamentals Earned Okt 18, 2024 EDT
Stateful Flows Earned Okt 18, 2024 EDT
Build generative virtual agents with API integrations Earned Okt 18, 2024 EDT
Building Complex Self-Service Experiences in Conversational Agents Earned Okt 13, 2024 EDT
Performance Measurement Earned Okt 9, 2024 EDT
Conversation Design Fundamentals Earned Okt 8, 2024 EDT
DFCX Virtual Agent Delivery Framework Earned Okt 8, 2024 EDT
Customer Experience with Google AI Architecture Earned Okt 8, 2024 EDT
Intro to Conversational AI and Conversational AI Engagement Framework Earned Okt 7, 2024 EDT
Generative AI Fundamentals - Bahasa Indonesia Earned Jan 15, 2024 EST
Pengantar Responsible AI Earned Jun 15, 2023 EDT
Pengantar Model Bahasa Besar Earned Jun 10, 2023 EDT
Pengantar AI Generatif Earned Jun 10, 2023 EDT
Contact Center as a Service Implementation Earned Mar 11, 2023 EST
Virtual Agent Development in Dialogflow CX for Software Devs Earned Jun 22, 2022 EDT

Agen AI Generatif: Mentransformasi Organisasi Anda adalah kursus kelima dan terakhir dari jalur pembelajaran Pemimpin AI Generatif. Kursus ini membahas cara organisasi menggunakan agen AI generatif kustom untuk membantu mengatasi tantangan bisnis tertentu. Anda akan mendapatkan praktik langsung dalam membangun agen AI generatif dasar, sambil mempelajari komponen agen ini, seperti model, loop penalaran, dan alat.

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Aplikasi AI Generatif: Mentransformasi Pekerjaan Anda adalah kursus keempat dari jalur pembelajaran Generative AI Leader. Kursus ini memperkenalkan aplikasi AI generatif Google, seperti Gemini untuk Workspace dan NotebookLM. Kursus ini memandu Anda memahami konsep seperti grounding, retrieval augmented generation, menyusun perintah yang efektif, dan membangun alur kerja otomatis.

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AI Generatif: Memahami Lanskap adalah kursus ketiga dari alur pembelajaran Generative AI Leader. AI generatif mengubah cara kita bekerja dan berinteraksi dengan dunia di sekitar kita. Namun, sebagai seorang pemimpin, bagaimana Anda dapat memanfaatkan kekuatan AI untuk mendorong hasil bisnis yang nyata? Dalam kursus ini, Anda akan mempelajari berbagai lapisan dalam membangun solusi AI generatif, penawaran Google Cloud, dan faktor yang perlu dipertimbangkan saat memilih solusi.

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AI Generatif: Memahami Konsep Dasar adalah kursus kedua dari alur pembelajaran Generative AI Leader. Dalam kursus ini, Anda akan mempelajari konsep dasar AI generatif. Anda akan mempelajari perbedaan antara AI, ML, dan AI generatif serta mempelajari bagaimana berbagai jenis data memungkinkan AI generatif mengatasi tantangan bisnis. Anda juga akan mendapatkan insight tentang strategi Google Cloud untuk mengatasi keterbatasan model dasar dan tantangan utama dalam pengembangan dan deployment AI yang bertanggung jawab dan aman.

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AI Generatif: Lebih dari Sekadar Chatbot adalah kursus pertama dari alur pembelajaran Generative AI Leader. Kursus ini tidak memiliki prasyarat. Kursus ini bertujuan untuk melampaui pemahaman dasar tentang chatbot guna mengeksplorasi potensi sebenarnya dari AI generatif untuk organisasi Anda. Anda akan mempelajari konsep seperti model dasar dan rekayasa perintah, yang penting untuk memanfaatkan kekuatan AI generatif. Kursus ini juga memandu Anda melalui pertimbangan penting yang harus Anda buat saat mengembangkan strategi AI generatif yang sukses untuk organisasi Anda.

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Padukan keahlian Google di bidang penelusuran dan AI dengan Gemini Enterprise, alat canggih yang dirancang untuk membantu karyawan menemukan informasi spesifik dari penyimpanan dokumen, email, chat, sistem tiket, dan sumber data lain, semuanya dari satu kotak penelusuran. Asisten Gemini Enterprise juga dapat membantu Anda bertukar pikiran, melakukan riset, membuat kerangka dokumen, serta mengambil tindakan seperti mengundang rekan kerja ke acara kalender untuk mempercepat pekerjaan dan kolaborasi berbasis pengetahuan dalam berbagai bentuk. (Perhatikan bahwa Gemini Enterprise sebelumnya bernama Google Agentspace, mungkin ada referensi ke nama produk sebelumnya dalam kursus ini.)

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Configure and Maintain CCaaS as an Admin is a course that provides end users with essential learning about the core features, functionality, reporting, and configuration information most relevant to the role. This course is most appropriate for those who perform administrative functions to support the operation of the contact center as well as analyze, troubleshoot, and configure the platform to best meet the demands of customers. Although this program will review some monitoring and reporting aspects, those topics are explored in depth in the course titled "Managing Functions and Reporting with CCaSS."

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Manage Functions and Reporting with CCaaS provides end-users with essential training about the core features, functionality, monitoring, reporting, and configuration information that is most relevant to the role. This course is most appropriate for those at the managerial level of the contact center who are tasked with monitoring the effectiveness, efficiency, and KPI attainment for all consumer interactions. While this program will review some aspects of settings and configuration options, the major focus is on reporting functionality in CCaaS.

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This course teaches contact center agents about the core agent features and functionality in Contact Center as a Service (CCaaS). CCaaS is a unified contact center platform that accelerates an organization's ability to leverage and deploy contact centers without relying on multiple technology providers. This course is most appropriate for those who handle consumer interactions via chat and call.

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Seiring semakin meningkatnya penggunaan Kecerdasan Buatan dan Machine Learning di kalangan perusahaan, proses membangunnya secara bertanggung jawab juga menjadi semakin penting. Membicarakan responsible AI mungkin lebih mudah bagi banyak orang daripada mempraktikkannya. Jika Anda tertarik untuk mempelajari cara mengoperasionalkan responsible AI dalam organisasi Anda, kursus ini cocok untuk Anda. Dalam kursus ini, Anda akan mempelajari bagaimana Google Cloud mengoperasionalkan responsible AI, dengan praktik terbaik dan pelajaran yang dapat dipetik. Hal ini berguna sebagai framework bagi Anda untuk membangun pendekatan responsible AI.

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This course will equip you with the tools to develop complex conversational experiences in Conversational Agents capable of identifying the user intent and routing it to the right self service flow.

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Explore the Generative AI features for Conversational Agents and how to incorporate them into stateful Flows. Discover the possibilities with Generators, Generative Fallback, and Data Stores, as well as best practices and security settings for using these features.

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Explore Playbooks and their implementation of the ReAct pattern for building conversational agents. You will learn how to construct a Playbook, set up goals and instructions to build a chatbot in natural language, and learn to test and deploy your solution.

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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 Conversational agent in Conversational Agents. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.

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This course explores advanced technical considerations to optimize Webhook connectivity for comprehensive, end-to-end, Conversational Agent self-service experiences. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.

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Demonstrate the ability to create and deploy deterministic virtual agents using Dialgflow CX and augment responses by grounding results on your own data integrating with Vertex AI Agent Builder data stores and leveraging Gemini for summarizations. You will use the following technologies and Google Cloud services: Vertex AI Agent Builder Dialogflow CX Gemini

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In this course, you'll learn to develop AI agents that answer questions using websites, documents, or structured data. You will explore AI Applications and understand the advantages of data store agents, including their scalability and security. You'll learn about different data store types and also discover how to connect data stores to agents and add personalization for enhanced responses. Finally, you'll gain insights into common search configurations and troubleshooting techniques.

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This course explores the quality assurance best practices and the tools available in Conversational Agents to ensure production grade quality during Conversational Agent development, as well as the key tenets for the creation of a robust end to end deployment lifecycle. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.

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In this course, you will learn the important role that different types of webhooks play in Conversational Agents development, and how to effectively integrate them into your routine configuration of a Conversational Agent. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.

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Discover flows in Conversational Agents and learn how to build deterministic chat and voice experiences with language models. Explore key concepts like drivers, intents, and entities, and how to use them to create conversational agents.

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Demonstrate the ability to create and deploy generative virtual agents with natural language using Vertex AI Agent Builder and augment responses by integrating Gemini responses with third party APIs and your own data stores You will use the following technologies and Google Cloud services: Vertex AI Agent Builder Gemini Cloud Functions

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This course will equip you with the tools to develop complex conversational experiences in Conversational Agents capable of identifying the user intent and routing it to the right self service flow. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.

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This course explores the fundamentals of the feedback loop process for Conversational Agent development and introduces the native capabilities within Conversational Agents that support it. You will also learn about advanced methods and tools to monitor the performance of your Conversational agent in Conversational Agents.

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This course explores the foundational principles of conversation design to craft engaging and effective experiences that emulate human-like experiences specific to the Chat channel. Please note Dialogflow CX was recently renamed to Conversational Agents, Virtual agent renamed to Conversational agent, and CCAI Insights were renamed to Conversational Insights, and this course is in the process of being updated to reflect the new product names for Dialogflow CX, and Virtual Agent, CCAI Insights.

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This course explores the best practices, methods and tools to programmatically lead CCAI virtual agent delivery. It includes a high level overview of the end to end journey for building and deploying a virtual agent, as well as the core tenets to create a strong delivery culture. Additionally, this course covers the best practices for workflow management, defect tracking, release management and post-release support to ensure optimal virtual agent performance.

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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions.

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This is an introductory course to all solutions in the Conversational AI portfolio and the Gen AI features that are available to transform them. The course also explores the business case around Conversational AI, and the use cases and user personas addressed by the solution. Please note Dialogflow CX was recently renamed to Conversational Agents and this course is in the process of being updated to reflect the new product name for Dialogflow CX.

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Dapatkan badge keahlian dengan menyelesaikan kursus Introduction to Generative AI, Introduction to Large Language Models, dan Introduction to Responsible AI. Dengan berhasil menyelesaikan kuis akhir, Anda membuktikan pemahaman Anda tentang konsep dasar AI generatif. Badge keahlian adalah badge digital yang diberikan oleh Google Cloud sebagai pengakuan atas pengetahuan Anda tentang produk dan layanan Google Cloud. Pamerkan badge keahlian Anda dengan menampilkan profil Anda kepada publik dan menambahkannya ke profil media sosial Anda.

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Ini adalah kursus pengantar pembelajaran mikro yang dimaksudkan untuk menjelaskan responsible AI, alasan pentingnya responsible AI, dan cara Google mengimplementasikan responsible AI dalam produknya. Kursus ini juga memperkenalkan 7 prinsip AI Google.

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Ini adalah kursus pengantar pembelajaran mikro yang membahas definisi model bahasa besar (LLM), kasus penggunaannya, dan cara menggunakan prompt tuning untuk meningkatkan performa LLM. Kursus ini juga membahas beberapa alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.

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Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.

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An AI-driven Contact Center as a Service (CCaaS) solution that is built natively on Google Cloud. The Implementation course provides Partners with essential training about the delivery of key features and functionality. The course explores how to leverage your key understanding of the product into successful customer implementation engagements with tips, best practices, guides, and more. Note: This product was previously called Contact Center AI (CCAI) Platform you may see references to that name still in the course, however the course is technically correct.

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Welcome to "Virtual Agent Development in Dialogflow CX for Software Devs", the third course in the "Customer Experiences with Contact Center AI" series. In this course, learn how to develop more customized customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to more advanced and customized handling for virtual agent conversations that need to look up and convey dynamic data, and methods available to you for testing your virtual agent and logs which can be useful for understanding issues that arise. This is an intermediate course, intended for learners with the following type of role: Software developers: Codes computer software in a programming language (e.g., C++, Python, Javascript) and often using an SDK/API.

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