In this three-day FT-FML: FortiMail Training class, you will analyze email security challenges that administrators face, and learn where and how to deploy, manage, and troubleshoot FortiMail to protect your network from email-borne threats.
You will also explore the role of FortiMail as a specialized device, and how its features provide both high-performance and in-depth security for business-critical communications.
In this three-day FT-FSM: FortiSIEM Basic Training course, you will learn about FortiSIEM initial configurations, architecture, and the discovery of devices on the network.
You will also learn how to collect performance information and aggregate it with syslog data to enrich the overall view of the health of your environment, how to use the configuration database to greatly facilitate compliance audits, and how to integrate FortiSIEM into your network awareness infrastructure.
Product version: FortiSIEM 6.3
In this course, you will learn about FortiSOAR architecture, and how to deploy, configure, manage, operate, and monitor FortiSOAR in a SOC environment. You will learn about various system customization options, HA deployment, security management using role-based access control (RBAC), and various system monitoring tools.
In this two-day FT-FVC: FortiVoice course, you will learn how to configure FortiVoice systems, including using the phones.
In the interactive labs, you will explore FortiVoice profiles, extension set ups, trunk configurations, and call features.
In this course, you will learn how to deploy, configure, and troubleshoot FortiWeb. You will learn key concepts of web application security, and explore protection and performance features. You will experience traffic and attack simulations that use real web applications. You will learn how to distribute the load from virtual servers to real servers, while enforcing logical parameters, inspecting flow, and securing HTTP session cookies. You will also learn how to train and configure machine learning, and how to configure API protection and bot mitigation.
In this three-day FT-FWC: FortiWLC Training class, you will learn how to design, implement, and maintain a basic FortiWLC-based wireless network.
The practical labs will give you hands on experience in configuration, management, and monitoring of the wireless network
In this three-day FT-NAC: FortiNAC course, you will learn how to leverage the powerful and diverse capabilities of FortiNAC, using best practices for achieving visibility, control, and response.
In interactive labs, you will explore the administrative tasks necessary to achieve network visibility, control, and automated threat response. These fundamentals will provide you with a solid understanding of how to implement network visibility and security automation.
A Generative AI Engineer is responsible for understanding generative AI concepts and Alibaba Cloud technologies that can be used to deploy such applications. This role focuses on identifying and describing appropriate generative AI services and solutions, playing a key part in the organization’s exploration of AI capabilities.
Limited time offer: 10% OFF All Alibaba Cloud Courses!
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.
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 GCP-AMLTF: Advanced Machine Learning with TensorFlow on Google Cloud course will give you hands-on experience optimizing, deploying, and scaling a variety of production ML models. You’ll learn how to build recommendation systems
and scalable, accurate, and production-ready models for structured data, image data, time series, and natural language text.
This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run.
Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, implement, deploy, secure, manage, and scale applications on Google Cloud using Cloud Run.
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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.
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