Google Cloud Training
This course introduces the students to general Cloud concepts and capabilities as well the products and services provided by Google Cloud. At the end of the course, the attendees will be able to identify the appropriate Google Cloud service(s) required for their cloud-based solutions.
This class will help participants interested in the GCP Associate Cloud Engineer Certification to orient themselves on the required topics and give them practical knowledge to start off on that learning path.
This course introduces the students to the Google Cloud products and services as well as their integration in the context of user cloud-based solutions. At the end of the course, the attendees will be able to make informed technical decisions and select the most appropriate Google Cloud service(s) required for their enterprise-grade cloud-based solutions.
This Google Cloud training course teaches attendees how to secure a Google Cloud Platform (GCP) environment. This course explores core concepts like resource hierarchy, VPC networking, and Compute Engine security. This class then tackles advanced topics like Cloud NAT, Private Google Access, and Cloud Interconnect, all designed to safeguard valuable data and applications on GCP.
If you are wondering how cloud can transform your business then this course is for you. Aimed at business leaders new to cloud, this course provides insight into Google's approach to digital transformation, and how to embrace cloud in your business.
In this Dialogflow course, master designing customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow CX to create virtual agents and test them using the simulator. Learn to add functionality to access data from external systems, making virtual agents conversationally dynamic. You'll be introduced to testing methods, connectivity protocols, APIs, environment management, and compliance measures. Learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.
In this Contact Center AI course, master designing customer conversations using Contact Center Artificial Intelligence (CCAI). Attendees use Dialogflow ES to create virtual agents, test them using the simulator, and add functionality to access data from external systems, making virtual agents conversationally dynamic. This course covers testing methods, connectivity protocols, APIs, environment management, and compliance measures. Students also learn best practices for integrating conversational solutions with your existing contact center software and implementing solutions securely and at scale.
In this Google Cloud course, attendees master Cloud Functions, Google's serverless, fully-managed functions as a service (FaaS) product. With Cloud Functions, you implement single-purpose functions that respond to HTTP requests and process events from your cloud infrastructure.
In this course, you will explore the use of interactive multi-turn chat models using Gen AI Studio on Vertex AI and learn how to incorporate those models into your application using the PaLM API and client libraries. You will learn how to design and test chat prompts to ensure the best outputs for your applications and discuss how to choose parameters for the PaLM API to improve response quality for your use case.
In this course, you will do a high-level exploration of Google's recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.
Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.
In this course, you will explore the use of text generation models using Gen AI Studio on Vertex AI and learn how to incorporate those models into your application using the PaLM API and client libraries. You will learn how to design and tune prompts to ensure the best outputs for your applications and discuss how to fine-tune foundational models to improve model output quality.
This course will help participants interested in the GCP Associate Cloud Engineer Certification to orient themselves on the required topics and give them practical knowledge to start off on that learning path.
