Author: admin

Year of release : 2022
Manufacturer : Pluralsight
Author : Floyd May
Duration : 1h 32m
Type of distributed material : Video clips
Language : En
Subtitles : En
Описание: Managing cloud infrastructure can often be a challenge of wrangling obtuse configuration files or manually configuring resources through your cloud provider’s web console. In this course, Getting Started with Pulumi, you’ll learn the basics of managing cloud infrastructure using your favorite programming language. First, you’ll explore creating, modifying, and destroying cloud resources in providers like AWS, GCP, and Azure. Next, you’ll discover how to create dependencies between resources – servers, databases, storage, DNS, and more – so that they are dynamically configured to work together. Finally, you’ll learn how to make reusable groups of resources so that you can create and destroy independent replicas of your environments for testing or demos. When you’re finished with this course, you’ll be ready to start using Pulumi to manage your cloud infrastructure.
Content
Course Overview 1m 29s
Your First Pulumi Project 13m 46s
Managing Resources with Relationships 31m 23s
Incorporating Multiple Providers 16m 13s
Troubleshooting When Deployments Fail 10m 43s
Designing Pulumi Stacks for Reuse 19m 14s
Example files : none
Video format : MP4
Видео: MPEG4 Video (H264) 1024×768 30fps 293kbps [V: En [eng] (h264 high L4.0, yuv420p, 1280×720, 293 kb/s)]
Аудио: AAC 44100Hz stereo 95kbps [A: SoundHandler [eng] (aac lc, 44100 Hz, stereo, 95 kb/s)]

Getting Started with Pulumi (154.38 MB)
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https://rapidgator.net/file/c91a9c249d661f2502373a0e3965fc26/Getting.Started.with.Pulumi.rar

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https://drop.download/ou66bdysric6/Getting.Started.with.Pulumi.rar

Getting Started with Docker
Duration: 1h 38m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 226 MB
Genre: eLearning | Language: English​

This course will teach you everything you need to know to get started with Docker and containers.

What you’ll learn
Docker and containers have changed the technology world. In this course, Getting Started with Docker, you’ll learn everything needed to get started with Docker and containers, and also build a great foundation for learning Kubernetes. First, you’ll discover how to install Docker and get it running. Next, you’ll explore how to build a small application into a container, how to share it to Docker Hub, and how to run it in a Docker environment. After that, you’ll learn how to deploy and manage multi-container applications with Docker Compose. Finally, you’ll delve into using Docker Swarm to run multi-container applications in production-like environments. When you’re finished with this course, you’ll have the skills and knowledge required to work with Docker and containers and be ready to learn Kubernetes.

Getting Started with ASP.NET Core 10
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 2h 34m | 410 MB
Instructor: Gill Cleeren​

Learn the basics of web development with ASP.NET Core. This course will teach you how to build, and deploy your first data-driven web app using ASP.NET Core MVC.

What you’ll learn

ASP.NET Core is the premier web development framework part of .NET. In this course, Getting Started with ASP.NET Core 10, you’ll learn to build and deploy a working web application using ASP.NET Core MVC.

First, you’ll explore how to set up your development environment and understand how ASP.NET Core handles web requests. Next, you’ll discover how to build pages using controllers, views, and models, and how to connect your app to a database using Entity Framework Core. Finally, you’ll learn how to secure your app with basic authentication and publish it to Azure.

When you’re finished with this course, you’ll have the skills and knowledge of ASP.NET Core needed to create a basic, fully functional data-driven web application.

Homepage

Released 2/2026 By Gill Cleeren MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 34m | Size: 411 MB​

Learn the basics of web development with ASP.NET Core. This course will teach you how to build, and deploy your first data-driven web app using ASP.NET Core MVC.

What you’ll learn
ASP.NET Core is the premier web development framework part of .NET. In this course, Getting Started with ASP.NET Core 10, you’ll learn to build and deploy a working web application using ASP.NET Core MVC. First, you’ll explore how to set up your development environment and understand how ASP.NET Core handles web requests. Next, you’ll discover how to build pages using controllers, views, and models, and how to connect your app to a database using Entity Framework Core. Finally, you’ll learn how to secure your app with basic authentication and publish it to Azure. When you’re finished with this course, you’ll have the skills and knowledge of ASP.NET Core needed to create a basic, fully functional data-driven web application.

Welcome to Check it Every Days
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Happy Learning!!

Released 3/2026 By Jamie Maguire MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 30m 47s | Size: 70 MB​

Ninety-five percent of organizations get little return on their AI investments.

What you’ll learn
Ninety-five percent of organizations get little return on their AI investments. Not because the technology fails, but because requirements are vague, stakeholders drift out of alignment, and teams measure the wrong things. In this course, Generative AI Stakeholder Alignment, you’ll gain the ability to plan and manage AI projects that deliver value. First, you’ll explore why AI projects fail, AI-specific failures like hallucinations, drift, and bias, and how to write requirements with guardrails that prevent them. Next, you’ll discover how to align stakeholders using five clarifying questions, RACI mapping, and checkpoint rituals to help keep alignment ongoing rather than being a one-time deal. Finally, you’ll learn how to prevent scope drift and measure success across performance, risk, safety, and value KPIs. When you’re finished with this course, you’ll have the skills and knowledge of generative AI stakeholder alignment needed to be part of the five percent that succeeds.

Welcome to Check it Every Days
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Happy Learning!!

Generative AI Security Conference
English | 2024 | h264, yuv420p, 1920×1080 | 48000 Hz, 2channels | Duration: 2h 37m | 586 MB​

Learn how to evaluate, deploy, and validate secure AI and LLM applications.
Insights and advice from industry leaders from Cisco, Robust Intelligence, and Microsoft.
Expert-led analyses of AI in cybersecurity covering topics from network security risks and AI-driven SOCs to the validation and security of Generative AI models.
Practical solutions for automated red-teaming, real-time validation techniques, and AI’s role in modern SOC environments.
Generative AI Security hosted by bestselling author and speaker Omar Santos offers the latest insights and strategies for securing AI and LLM applications, essential for anyone involved in cybersecurity, AI development, and experimentation.
This course has three core sections:
Is Your Network at Risk? How Can AI Help You?: Qihong Shao, Senior Manager and AI research scientist at Cisco’s ONEX AI group provides a comprehensive understanding of how AI-driven strategies can identify, assess, and mitigate network risks, thereby enhancing security postures.
Revolutionizing Cybersecurity with an AI-Driven SOC: Joseph Muniz, a member of Microsoft’s AI specialist team, focuses on the integration of AI in Security Operation Centers (SOCs) and explores how AI can address key SOC challenges. The session covers the incorporation of AI in modern SOC practices, including talent shortages, data and tool management, and achieving a unified perspective on incident management.
Validating Generative AI: How to Secure Your Models and Data: Kojin Oshiba, Co-Founder of Robust Intelligence, covers the security, ethical, and operational challenges of Generative AI applications highlighting associated risks and discriminative models while also proposing solutions like automated red-teaming and real-time validation for secure Gen AI usage in production environments.

Last updated 4/2024 Created by Pixovert Studio MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 15 Lectures ( 2h 58m ) | Size: 2.6 GB​

What you’ll learn
Master the art of Prompt Engineering to Provide Professional, reliably consistent results
Create Huge Landscapes using built-in features in Comfy-UI – for SDXL or earlier versions of Stable Diffusion
Produce beautiful portraits in SDXL
Use the Speed and Efficiency of ComfyUI to do batch processing for more effective cherry picking
Understand the dualism of the Classifier Free Guidance and how it affects outputs

Requirements
The ability to setup and run Stable Diffusion through the ComfyUI interface
A powerful consumer PC or Professional Workstation with a Stable Diffusion capable GPU
The desire to achieve reliably professional diffusions
Attention to detail. Attention to Process
Genuine interest and skill in critiquing and evaluativing Generative AI outputs

Description
Do you already know how to create stunning images from text prompts? Have you have started to unleash your creativity and produced amazing art using the power of artificial intelligence? Do you want to go the next step and step up to consistently producing professional results? If so, then this course is for you!This course is designed for professionals who already have some experience with text-to-image synthesis and want to take their skills to the next level. You will learn how to master Stable Diffusion, the state-of-the-art latent text-to-image diffusion model that can generate photo-realistic images given any text input. You will also learn how to master SDXL, the latest and most advanced version of Stable Diffusion, which can handle challenging concepts and produce images of high quality in virtually any art style. And you will learn how to master ComfyUI, the robust and modular Stable Diffusion GUI and backend that enables you to design and execute advanced Stable Diffusion pipelines using a graph and nodes-based interface.By taking this course, you will also be able to fine-tune the parameters and the workflows to your needs and preferences, as well as write creative and high-quality prompts that can produce amazing results. You will also gain a deeper understanding of the underlying principles and techniques of text-to-image synthesis, latent diffusion models, and image refinement techniques.This course is not for beginners who need introductory learning. This course is for professionals who want to master Stable Diffusion, SDXL and ComfyUI and achieve polished, professional outcomes. If you are ready to take your text-to-image synthesis skills to the next level, then enroll in this course today!Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. It is based on the idea of reversing the diffusion process, which gradually transforms an image into random noise. By applying the reverse steps with a neural network conditioned on text, Stable Diffusion can recover the original image from the noise.SDXL is the latest and most advanced version of Stable Diffusion, which leverages a larger and more powerful UNet backbone with more attention blocks and a larger cross-attention context. SDXL can generate images of high quality in virtually any art style and is the best open model for photorealism. It can also handle challenging concepts such as hands, text, and spatial arrangements.ComfyUI supports SD1.x, SD2.x and SDXL models, as well as standalone VAEs and CLIP models. ComfyUI also offers many features such as embeddings, textual inversion, Loras, hypernetworks, loading and saving workflows, and image control.The goal of this course is to help you achieve polished, professional outcomes with Stable Diffusion, SDXL and ComfyUI. You will learn how to use these tools effectively and efficiently, as well as how to fine-tune them to the demands of your work and your preferences.  By the end of this course, you will be able to get the most out of the efficiency and flexibility of ComfyUI to produce reliably consistent results that begin to match the best in the industry.

Who this course is for
Advanced ComfyUI users with a real desire to improve the speed, efficiency and quality of diffusions
Professionals working in Generative AI who want to understand the benefits of ComfyUI and SDXL
ComfyUI users who want to increase their repertoire of methods and processes

Welcome to – Check it Every Days
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Published 3/2026 MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 1m | Size: 3.18 GB​

The Complete Story of AI: Neural Networks, Deep Learning & LLMs

What you’ll learn
Clear theoretical foundations of artificial intelligence and its main concepts.
A structured understanding of how different AI techniques work at a conceptual level.
Key terminology and core principles used in modern AI systems.
Theoretical insight into how AI models are designed, evaluated, and improved.
An overview of common AI applications and how they operate behind the scenes.
A solid conceptual base in AI that supports future independent study and professional development.

Requirements
There is no request.

Description
This course contains the use of artificial intelligence.

Discover how generative AI and ChatGPT came to be-from the first mathematical neurons to large language models. A complete, story-driven history of artificial intelligence.

This course walks you through the full arc of AI: the ideas that turned thought into calculation, the first "learning" machines, the winters and booms, and the breakthroughs that led to GPT, DALL-E, and today’s generative AI. No heavy math or coding-just clear explanations, timelines, and the key people and papers that built the field.

What you’ll learn

Where AI really started – From Leibniz and Boolean logic to the first formal models of computation and the neuron

The birth of "artificial intelligence" – Dartmouth, early neural networks, ELIZA, and the first AI winters

Expert systems and the return of neural nets – Rule-based AI, backpropagation, and Deep Blue

The deep learning revolution – ImageNet, AlexNet, GANs, AlphaGo, and the transformer architecture

Generative AI and LLMs – How GPT, diffusion models, and tools like ChatGPT and DALL-E emerged from this history

Why take this course?

Story-first: One continuous narrative from the 1840s to the present, so you see how each step led to the next.

Built for SEO and clarity: Covers the history of AI, generative AI, machine learning, neural networks, deep learning, ChatGPT, and LLMs in one place.

No prerequisites: Designed for curious learners, professionals, and anyone who wants to understand where ChatGPT and generative AI came from.

-friendly length: Bite-sized lessons (under 6 minutes each) so you can learn at your own pace.

Who this is for

Anyone curious about the history of artificial intelligence and generative AI

Professionals who want context on ChatGPT, large language models, and AI tools

Students and lifelong learners interested in machine learning, neural networks, and deep learning from a historical angle

By the end, you’ll have a clear mental map of how we went from "thought as calculation" to the AI systems we use every day-and you’ll be able to explain that story to others.

Enroll now and learn the full history of AI and generative AI in one structured, engaging course.

Who this course is for
This course is designed for students, professionals, and enthusiasts who want a clear theoretical introduction to artificial intelligence without focusing on programming or hands-on implementation.