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Free Download Photoshop AI vs Free AI Tools - Is Photoshop Needed Anymore Last updated: 4/2025 Created by: Kush Sharma MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 45 Lectures ( 3h 51m ) | Size: 2.31 GB Side-by-Side Editing Battles to See if Photoshop is Still Worth it-Or Can Free AI Tools do the Job and Save You Money? What you'll learn Whether Photoshop is Relevant Anymore? How Free AI Tools are Catching up to Photoshop? Learning how to different types of edits using both Photoshop AI and Free AI Tools and seeing which one is better Learning how using a combination of different free AI tools can do things that even Photoshop cannot Requirements There are no pre-requisites. This course is perfect for complete beginners also. Description Is Photoshop still the king of image editing-or have free AI tools finally caught up? This course dives into a head-to-head showdown between Photoshop's advanced AI features and the latest generation of free AI-powered tools that promise pro-level results without the price tag.Each lesson is framed as a "battle," where we take a specific editing challenge-like object removal, background replacement, color changing, upscaling, retouching, or creating new AI-generated content-and execute it using both Photoshop AI and a free alternative. You'll see the results side by side, with clear explanations of how each tool works, what it gets right, and where it falls short.You'll not only learn how to use these tools effectively, but also gain the insight to decide which ones make sense for your workflow. This course will help you find the right balance between cost, convenience, and quality.Some of the free tools we explore include browser-based editors, open-source platforms, and emerging AI apps that are surprisingly powerful. No prior Photoshop experience is required-just a curiosity about how AI is changing the creative process.By the end of this course, you'll be able to confidently answer the question: Do you really need Photoshop anymore-or is it time to switch? Who this course is for This course is for people who are interested in the topic of AI image editing and want to find out if the free AI tools out there are good enough to replace Photoshop so they never have to pay again. Homepage: https://www.udemy.com/course/photoshop-ai-vs-free-ai-tools-is-photoshop-needed-anymore/ AusFile https://ausfile.com/dun0kzn6r4r1/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part3.rar.html https://ausfile.com/t84cows68r3b/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part1.rar.html https://ausfile.com/y4riai65zuzi/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part2.rar.html Rapidgator Links Download https://rg.to/file/4abe9abf3066b217d875a2c92226ede9/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part3.rar.html https://rg.to/file/a2a5903a4aa3b6bf8dc688d662db3ad8/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part1.rar.html https://rg.to/file/aa202f2bb39d6181d77206ed9a57d64c/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part2.rar.html Fikper Links Download https://fikper.com/FtkxEWzA0v/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part3.rar.html https://fikper.com/ZvtZtgyY3S/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part2.rar.html https://fikper.com/mcRK4lC5sm/pnljc.Photoshop.AI.vs.Free.AI.Tools..Is.Photoshop.Needed.Anymore.part1.rar.html No Password - Links are Interchangeable

Free Download Pentesting GenAI LLM models Securing Large Language Models Published: 4/2025 Created by: Start-Tech Trainings MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 51 Lectures ( 3h 16m ) | Size: 1.6 GB Master LLM Security: Penetration Testing, Red Teaming & MITRE ATT&CK for Secure Large Language Models What you'll learn Understand the unique vulnerabilities of large language models (LLMs) in real-world applications. Explore key penetration testing concepts and how they apply to generative AI systems. Master the red teaming process for LLMs using hands-on techniques and real attack simulations. Analyze why traditional benchmarks fall short in GenAI security and learn better evaluation methods. Dive into core vulnerabilities such as prompt injection, hallucinations, biased responses, and more. Use the MITRE ATT&CK framework to map out adversarial tactics targeting LLMs. Identify and mitigate model-specific threats like excessive agency, model theft, and insecure output handling. Conduct and report on exploitation findings for LLM-based applications. Requirements Basic understanding of IT or cybersecurity Curiosity about AI systems and their real-world impact No prior knowledge of penetration testing or LLMs required Description Red Teaming & Penetration Testing for LLMs is a carefully structured course is designed for security professionals, AI developers, and ethical hackers aiming to secure generative AI applications. From foundational concepts in LLM security to advanced red teaming techniques, this course equips you with both the knowledge and actionable skills to protect LLM systems.Throughout the course, you'll engage with practical case studies and attack simulations, including demonstrations on prompt injection, sensitive data disclosure, hallucination handling, model denial of service, and insecure plugin behavior. You'll also learn to use tools, processes, and frameworks like MITRE ATT&CK to assess AI application risks in a structured manner.By the end of this course, you will be able to identify and exploit vulnerabilities in LLMs, and design mitigation and reporting strategies that align with industry standards.Key Benefits for You:LLM Security Insights:Understand the vulnerabilities of generative AI models and learn proactive testing techniques to identify them.Penetration Testing Essentials:Master red teaming strategies, the phases of exploitation, and post-exploitation handling tailored for LLM-based applications.Hands-On Demos:Gain practical experience through real-world attack simulations, including biased output, overreliance, and information leaks.Framework Mastery:Learn to apply MITRE ATT&CK concepts with hands-on exercises that address LLM-specific threats.Secure AI Development:Enhance your skills in building resilient generative AI applications by implementing defense mechanisms like secure output handling and plugin protections.Join us today for an exciting journey into the world of AI security-enroll now and take the first step towards becoming an expert in LLM penetration testing! Who this course is for SOC Analysts, Security Engineers, and Security Architects aiming to secure LLM systems CISO, Security Consultants, and AI Security Consultants seeking to protect AI-driven applications. Red Team/Blue Team members and Penetration Testers exploring LLM exploitation and defense techniques. Students and tech enthusiasts looking to gain hands-on experience in LLM penetration testing and red teaming. Ethical Hackers and Incident Handlers wanting to develop skills in securing generative AI models. Prompt Engineers and Machine Learning Engineers interested in securing AI models and understanding vulnerabilities in LLM-based applications. Homepage: https://www.udemy.com/course/pentesting-genai-llm-models/ AusFile https://ausfile.com/pcw1v06pqvku/tbkaz.Pentesting.GenAI.LLM.models.Securing.Large.Language.Models.part2.rar.html https://ausfile.com/sarzxuhpb8m2/tbkaz.Pentesting.GenAI.LLM.models.Securing.Large.Language.Models.part1.rar.html Rapidgator Links Download https://rg.to/file/2e951a9c72ec8dc6b92643f5c01f99e4/tbkaz.Pentesting.GenAI.LLM.models.Securing.Large.Language.Models.part1.rar.html https://rg.to/file/614522e655c872b64be5d5eca0897139/tbkaz.Pentesting.GenAI.LLM.models.Securing.Large.Language.Models.part2.rar.html Fikper Links Download https://fikper.com/O4oztflshO/tbkaz.Pentesting.GenAI.LLM.models.Securing.Large.Language.Models.part2.rar.html https://fikper.com/uxasUZwvyM/tbkaz.Pentesting.GenAI.LLM.models.Securing.Large.Language.Models.part1.rar.html No Password - Links are Interchangeable

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Evaluate when and how to appropriately apply OOP principles and patterns in PLC projects, avoiding common pitfalls like over-engineering. Requirements Solid understanding of fundamental PLC programming concepts (variables, data types, logic, control flow). Practical experience programming PLCs using Structured Text (ST) within the CoDeSys V3 development environment (IDE navigation, creating basic POUs, downloading, going online/debugging). Experience creating and using standard Function Blocks (FBs) in CoDeSys. No prior Object-Oriented Programming (OOP) knowledge is required - We will build from your existing PLC programming foundation. Description Tired of wrestling with complex PLC code that's hard to maintain and reuse? 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If you are new to PLC programming or need a stronger foundation in structured programming concepts before tackling advanced OOP, I highly recommend checking out my other courses first: "PLC Programming - Learn the Basics with CoDeSys" for beginners, and "PLC Programming - Structured Programming and Design Patterns" for intermediate concepts.We'll start by understanding why OOP matters in automation, addressing common concerns and demonstrating its benefits for managing complexity. Then, we dive deep into the practical application of CoDeSys OOP features:Enhance your Function Blocks: Learn to create cleaner, more intuitive code using Methods, Properties, and control visibility with Access Specifiers. Understand the crucial role of the THIS pointer.Master Memory Management: Gain confidence using Pointers (POINTER TO, ADR, ^) and References (REFERENCE TO, REF=), learning their syntax, applications, and essential safety checks ( 0, __ISVALIDREF) vital for reliable PLC code.Build Reusable Hierarchies: Explore Inheritance (EXTENDS) to create specialized FBs based on common code. Learn to Override methods, leverage the SUPER pointer, and utilize ABSTRACT classes to define robust templates.Achieve True Flexibility: Discover Interfaces (INTERFACE, IMPLEMENTS) to define capability contracts and unlock Polymorphism. Learn how to write decoupled code that interacts with diverse objects uniformly using Interface Variables and runtime checks (__QUERY...).Apply Practical Knowledge: Learn OOP Design Patterns adapted for automation (State, Command, Observer, adapted Factory), master Debugging techniques specific to OOP structures in CoDeSys, and understand crucial Best Practices - including when not to use OOP and how to refactor legacy code using the Wrapper pattern.Throughout the course, we use practical examples rooted in automation scenarios (like controlling drives) and provide exercises to solidify your understanding.Throughout the course, we use practical examples rooted in automation scenarios (like controlling drives) and provide exercises to solidify your understanding. To ensure compatibility with the provided exercise projects, it is advised that students install CoDeSys Development System V3.5 SP19 Patch 5.By the end of this course, you won't just know about OOP; you'll be able to confidently design, implement, and maintain complex, scalable, reusable, and highly maintainable PLC applications using advanced OOP techniques in CoDeSys V3.Enroll today and elevate your PLC programming skills to the next level Who this course is for PLC Programmers and Automation Engineers currently working with CoDeSys V3 based systems (e.g., Beckhoff, Wago, Schneider Electric, Festo, Bosch Rexroth, etc.). Developers experienced with IEC 61131-3 languages (especially Structured Text) and standard Function Blocks. Engineers facing challenges with complex code, code reuse, or maintainability in large PLC projects. Programmers wanting to leverage modern software engineering practices within the PLC environment. 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About the Authors Hobson Lane is a data scientist and machine learning engineer with over twenty years of experience building autonomous systems and NLP pipelines. Maria Dyshel is a social entrepreneur and artificial intelligence expert, and the CEO and cofounder of Tangible AI. 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