Md Danish Ali
Учасник із 2024
Develop Gen AI Apps with Gemini and Streamlit
Earned серп. 21, 2026 EDT
Engineer AI Agents with Agent Development Kit (ADK)
Earned трав. 29, 2026 EDT
Advanced Conversation Design
Earned груд. 1, 2024 EST
Conversation Design Fundamentals
Earned груд. 1, 2024 EST
Implement Enterprise Design Patterns with CX Agent Studio
Earned груд. 1, 2024 EST
Conversational AI Voice and Chat Integrations
Earned груд. 1, 2024 EST
[DEPRECATED] Advanced Performance Measurement
Earned груд. 1, 2024 EST
[DEPRECATED] Basic Performance Measurement
Earned груд. 1, 2024 EST
[Deprecated] Advanced Webhook Concepts
Earned лист. 30, 2024 EST
[DEPRECATED] Webhook fundamentals
Earned лист. 30, 2024 EST
Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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Complete the intermediate Engineer AI Agents with Agent Development Kit (ADK) skill badge by completing this course to demonstrate skills in the following: formulating real-world language model research problems; building a simple tokenizer; preparing a dataset for training a transformer language model; running the training loop of a small language model. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
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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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This course explores the foundational principles of conversation design to craft engaging and effective chatbot experiences that emulate human-like experiences. Explore other content in the Gemini Agent Ready (GEAR) program.
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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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