This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects.
It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
This course is designed for business users, business leaders, and, more generally, decision makers within organizations who are seeking to gain a comprehensive understanding of generative AI and its potential impact on their businesses.
The overall goal of the course is to educate decision makers on the potential impact generative AI can have in their organizations, educate them about generative AI services on Google Cloud and to inspire decision makers to start thinking about what is possible with generative AI technologies.
As generative AI becomes more common, the ability to interact with large language models is shifting from niche knowledge to a necessary skill across many different industries and roles.
In this course, you will learn the fundamentals of prompting large language models and exploring further techniques for improving the output from large language models. You will also explore similar concepts when working with multimodal models such as Gemini Vision Pro.
In this course, you explore generative AI (Gen AI) use cases across specific industries using Google Cloud.
After discussing generative AI in general, you will do a deep dive into two generative AI use cases and then explore your own use case within the same framework. This course targets professionals across different roles, including business analysts, data scientists, software developers, business users, and decision-makers, who are specifically interested in leveraging generative AI for business solutions.
Trend Vision One – Mobile Security is a security solution designed to proactively protect and manage mobile devices against a wide range of mobile threat attacks. It integrates advanced mobile threat detection technologies to mitigate mobile security risks and supports integration with third-party mobile device management (MDM) solutions for centralized management.
This course provides a comprehensive overview of Trend Vision One™ Mobile Security’s core features designed to combat evolving mobile threats.
Cybersecurity is not optional. It’s Operational. Don’t wait for a breach. Build the skills. Earn the badge. Lead the defense. Explore our Top Cybersecurity Skills for Malaysia’s Digital Future campaign.
Be the reason your organization survives the next cyberattack.
Cloud Email and Collaboration Protection safeguards your business-critical cloud applications like Microsoft 365, Google Workspace, Box, and Dropbox.
This course will teach you how to defend against advanced threats such as ransomware, phishing, and BEC, while also preventing data leakage. Learn to leverage its cloudto-cloud integration for seamless protection and easy management, ensuring high availability and administrative functionality.
Gain the skills to secure your cloud collaboration tools and protect your organization from evolving cyberattacks.
Trend Vision One – Cloud Email Gateway Protection is an enterprise-class solution that delivers continuously updated protection to stop phishing, ransomware, Business Email Compromise (BEC) scams, spam and other advanced email threats before they reach your network.
This course will provide you with the knowledge and skills that are required to administer and support Cloud Email Gateway Protection (CEGP).
Trend Vision One – Cloud Security is a leading cloud security platform that gives you complete visibility, prioritizes risks, and automates responses across different cloud environments.
This course provides a comprehensive understanding of how to leverage Trend Vision One to secure your cloud environments. You will learn to implement and manage container security, file security, and cloud posture management within the Trend Vision One platform.
Cybersecurity is not optional. It’s Operational. Don’t wait for a breach. Build the skills. Earn the badge. Lead the defense. Explore our Top Cybersecurity Skills for Malaysia’s Digital Future campaign.
Be the reason your organization survives the next cyberattack.
In this course, you explore tools and APIs available on Google Cloud for integrating large language models (LLMs) into your application.
After exploring generative AI options on Google Cloud, you explore LLMs and prompt design in Vertex AI Studio. Then you learn about LangChain, an open-source framework for developing applications powered by language models.
After a discussion around more advanced prompt engineering techniques, you put it all together to build a multi-turn chat application by using LangChain and the Vertex AI Gemini API.
Vertex AI Agent Builder lets developers, even those with limited machine learning skills, tap into the power of Google’s foundation models, search expertise, and conversational AI technologies to create enterprise-grade generative AI applications.
In this course, you learn how to use Vertex AI Agent Builder to create search engines and chat applications. You will then explore how to integrate these search engineers and chat applications into your own applications.
Finally, you learn how to manage the tools built in Vertex AI Agent Builder in production.
Generative AI is now at the center of transforming how software is designed, built, run, and managed. For developers, generative AI is a powerful tool for making coding more efficient and using APIs, such as the Gemini and PaLM APIs, within their applications.
In this course, you are introduced to how generative AI can be used to make developers more efficient at writing code and implementing new features into applications. You will also explore available models in Vertex AI Model Garden.
Learn the essential skills to migrate virtual machines to Red Hat OpenShift Virtualization.
The Migrating Virtual Machines to Red Hat OpenShift Virtualization with Ansible Automation Platform (DO346) course provides the essential knowledge to migrate virtual machines to Red Hat OpenShift Virtualization by using carefully selected content from Managing Virtual Machines in Red Hat OpenShift Virtualization (DO316) and Automate and Manage Red Hat OpenShift Virtualization with Ansible (DO336). This Red Hat course provides a shorter learning path for IT professionals to migrate their virtualized workloads to OpenShift Virtualization.
This course provides the following information and skills:
This course is based on OpenShift Container Platform 4.16, OpenShift Virtualization 4.16, and Ansible Automation Platform 2.4.
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With over 30 years of experience, Trainocate has been empowering individuals and businesses to build the essential skills that drive growth and success. Whether it’s professionals advancing in their careers or organizations transforming their workforce, our training programmes deliver results.
Specializing in cloud computing, data & AI, cybersecurity, and digital leadership, our training is powered by industry-leading technology partners like AWS, Alibaba Cloud, Cisco, EC-Council, Fortinet, Google Cloud, IBM, ISACA, ISC2, Microsoft, NetApp, Nutanix, Oracle, Palo Alto, Splunk, Red Hat, Rocheston, Trend Micro, and VMware.
Trainocate Group operates in 24 countries blending global expertise with localized insights to train the next generation of tech professionals and business leaders.
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