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.
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In this course, you will learn about FortiWeb deployment, configuration, and management. You will learn how to set up server objects, define security policies, and implement HA. This course covers protection against advanced threats using data validation, client-side security, and machine learning. You will also explore API security, bot mitigation, and application delivery features such as URL rewriting, single sign-on, caching, and acceleration. Additional topics include DoS prevention, logging, FortiAI integration, compliance standards (PCI DSS, OWASP), and basic troubleshooting.
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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
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In this course, you will learn how to leverage the powerful and diverse capabilities of FortiNAC-F, using best practices for achieving visibility, control, and response. These fundamentals will provide you with a solid understanding of how to implement network visibility and security automation.
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In this course, you will learn how to secure your operational technology (OT) infrastructure using Fortinet solutions. You will learn how to design, deploy, administer, and monitor FortiGate, FortiNAC, FortiAnalyzer, and FortiSIEM devices to secure OT infrastructures. These skills will provide you with a solid understanding of how to design, implement, and operate an OT security solution based on Fortinet products.
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In this course, you will learn about the basics of SD-WAN deployment scenarios using the Fortinet Secure SD-WAN solution. You will learn how to configure SDWAN on FortiGate and learn how SD-WAN interacts with FortiGate routing and firewall. This fundamental understanding of SD-WAN topics will help you design, deploy, maintain, and enhance SD-WAN deployments and existing SD-WAN deployment performance.
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In this course, you will learn how to deploy, configure, and troubleshoot secure wireless LAN using an integrated wireless solution. Using interactive labs, you will enforce your knowledge of deploying a secure wireless LAN centrally managed from the FortiGate wireless controller.
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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!
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Large Language Models powered by world-class Google AI.
Google Cloud brings innovations developed and tested by Google DeepMind to our enterprise-ready AI platform so customers can start using them to build and deliver generative AI capabilities today — not tomorrow.
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.
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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.
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Learn how to design and build data processing systems.
LookML not only serves as the foundation for visualization assets in Looker, but is also capable of dynamic aggregations, incrementally refreshed persistent derived tables, and more. In this course you will practice the skills to be an advanced Looker Developer through guided lectures and independent exercises using sample data.
Limited Time Offer: Get up to 45% OFF selected Google Cloud courses in H2 2025 via our Google Cloud Certified program.
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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.
