Conversational AI on Google Cloud

The demand for intelligent, natural, and scalable conversational experiences is exploding. Simple, scripted chatbots no longer meet user expectations. This session dives into the powerful suite of tools on Google Cloud that allow developers to build sophisticated, enterprise-grade conversational AI agents.

We will focus on Dialogflow CX, Google's advanced platform for creating complex, stateful, and multi-turn conversations. We'll explore its visual flow builder, state-based architecture, and powerful features like intents, entities, and fulfillment. You'll learn how to design conversation paths that are robust and easy to manage.

Beyond the basics, we will demonstrate how to integrate other Google Cloud AI services to create a truly omnichannel experience, including:

Speech-to-Text & Text-to-Speech for building voice-enabled assistants.

Vertex AI for adding custom machine learning models and leveraging the power of Generative AI to handle unexpected user queries and create more dynamic responses.

By the end of this talk, you will have a clear understanding of how to architect and deploy powerful virtual agents on Google Cloud, transforming how your users and customers interact with your services.

Key Takeaways:

Understand the core concepts and advantages of Dialogflow CX's state machine approach.

Learn how to design and build a multi-turn conversational flow from scratch.

Discover how to integrate voice, generative AI, and other GCP services to enhance your agent's capabilities.

Gain insights into best practices for testing, deploying, and managing conversational AI agents at scale.

Data Engineering on Google Cloud

In this hands-on workshop, I’ll walk the audience through how to build a complete data engineering pipeline on Google Cloud—step by step.

Using a real-world example, I’ll demonstrate how I extract, transform, and load data into BigQuery, then build dashboards on Looker Studio to visualize it—all using native Google Cloud tools.

Here’s what I’ll cover:

Generating dummy employee data with Python (using the Faker library) and uploading it to Cloud Storage
Performing data transformation and masking sensitive information (like PAN numbers) using Cloud Data Fusion
Loading clean data into BigQuery, Google’s serverless data warehouse
Orchestrating the entire process with Cloud Composer (Airflow)
Creating visual reports in Looker Studio with charts and filters for business insights
Please NOTE: This won’t be a lecture it’s a live, practical workshop. I’ll share architecture diagrams, talk through decision points, troubleshoot in real time, and even discuss cost considerations and optimization tips I’ve learned along the way.

Cloud Conversational AI

Building a website chatbot with Dialogflow CX provides an advanced, scalable solution for enhancing user interactions through AI-driven conversations. This paper explores the process of designing and deploying a chatbot using Dialogflow CX, leveraging its powerful natural language understanding (NLU) and state-based conversational flow management. The chatbot can handle complex user queries, integrate with backend systems via webhooks, and be embedded into a website using web-based messaging APIs. Key considerations such as intent recognition, entity extraction, session management, and response generation are discussed. This solution enables businesses to automate customer support, improve user engagement, and streamline online interactions through an intelligent, context-aware chatbot.

Building AI-Driven Automations Using Cloud Platforms and n8n

This workshop explores how to design and build AI-driven automations using modern cloud platforms and n8n. Participants will learn how to connect cloud services, APIs, and AI models to create intelligent workflows that automate repetitive tasks, enhance decision-making, and improve operational efficiency.

The session will cover core automation concepts, integrating AI capabilities such as text processing and data analysis, and deploying scalable workflows in the cloud. Through practical demonstrations and real-world use cases, attendees will gain hands-on experience building end-to-end automations using n8n as the orchestration layer.

By the end of the workshop, participants will understand how to leverage cloud infrastructure and AI tools to build flexible, scalable, and maintainable automation solutions applicable to business, development, and data workflows.

Cloud Engineering on Google Cloud

In this hands-on workshop, I’ll walk the audience through how to build a complete data engineering pipeline on Google Cloud—step by step.

Using a real-world example, I’ll demonstrate how I extract, transform, and load data into BigQuery, then build dashboards on Looker Studio to visualize it—all using native Google Cloud tools.

Here’s what I’ll cover:

1. Generating dummy employee data with Python (using the Faker library) and uploading it to Cloud Storage
2. Performing data transformation and masking sensitive information (like PAN numbers) using Cloud Data Fusion
3. Loading clean data into BigQuery, Google’s serverless data warehouse
4. Orchestrating the entire process with Cloud Composer (Airflow)
5. Creating visual reports in Looker Studio with charts and filters for business insights

Please NOTE: This won’t be a lecture it’s a live, practical workshop. I’ll share architecture diagrams, talk through decision points, troubleshoot in real time, and even discuss cost considerations and optimization tips I’ve learned along the way.

Building AI-Driven Automations Using Cloud Platforms and n8n

This workshop explores how to design and build AI-driven automations using modern cloud platforms and n8n. Participants will learn how to connect cloud services, APIs, and AI models to create intelligent workflows that automate repetitive tasks, enhance decision-making, and improve operational efficiency.

The session will cover core automation concepts, integrating AI capabilities such as text processing and data analysis, and deploying scalable workflows in the cloud. Through practical demonstrations and real-world use cases, attendees will gain hands-on experience building end-to-end automations using n8n as the orchestration layer.

By the end of the workshop, participants will understand how to leverage cloud infrastructure and AI tools to build flexible, scalable, and maintainable automation solutions applicable to business, development, and data workflows.