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 OpenClaw for TikTok Master AI Content Automation Published 6/2026 Created by Susmita Pati MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 34 Lectures ( 1h 21m ) | Size: 811.8 MB Automate TikTok with OpenClaw: Build a Self-Hosted Agent, Generate Slides, Write Hooks, and Auto-Post What you'll learn⚡ Build a scene library and personas so your AI images look candid, not staged ⚡ Install OpenClaw and run your own AI agent that you control from Telegram ⚡ Give your agent skills and persistent memory, and split work across sub-agents ⚡ Break down what makes a TikTok slideshow get views (the hook, the swipe, and the payoff) ⚡ Write hooks that stop the scroll using relatability and word order ⚡ Build a scene library and personas so your AI images look candid and not staged ⚡ Turn reference photos into reusable JSON scene templates ⚡ Generate your slide images with Nano Banana Pro and build each slide in code ⚡ Keep a whole carousel consistent and add native text to your slides ⚡ Connect TikTok to Zernio and post slideshows to your drafts through its API ⚡ Tie the whole pipeline into one script and schedule it to run on its own ⚡ Read your analytics as a funnel to find if the hook, CTA, or offer is weak ⚡ Have your agent learn from its results, and keep your costs and accounts secure Requirements❗ No previous experience is needed! All you need is your laptop DescriptionNote: This course contains the use of artificial intelligence. Welcome to the exciting world of automated TikTok content! In this course, we embark on a hands-on journey at the intersection of AI and content creation, where a self-hosted AI agent takes the spotlight and runs your entire TikTok pipeline for you. Over the next several modules, you will dive into the cutting-edge world of agentic AI, equipping yourself with the skills and knowledge to build a system that generates, captions, and posts slideshows on its own. I've built and run this exact system myself, and I want to bring everything I've learned straight to you. Content creation has undergone a remarkable transformation in recent years, with AI agents emerging as a powerful force for automation. Whether you're a seasoned creator looking to automate the repetitive work, or a complete beginner eager to grow a faceless page, this course gives you a clear, hands-on path to building an agent that does the work for you. From generating images and writing hooks to scheduling and auto-posting, AI now handles nearly every step of the content process, with a level of speed and consistency that's hard to match by hand. By the end of this course, you'll have a complete, working system that you own and control. We cover the full stack you need, including OpenClaw, Telegram, Nano Banana Pro image generation, Pillow, Zernio, and OpenClaw's built-in cron scheduler. You'll write real Python code to generate each slide, lay the text on top, and tie the whole pipeline into a single script that runs on its own, and I walk through every line as we go, so it's reproducible even if you've never opened a terminal before. This course doesn't just introduce each tool, it gives you the exact end-to-end workflow that connects them, plus the small details that separate a system that works from one that doesn't. This course includes everything you need to build and run a self-hosted agent that takes your content process off your hands. When you enroll, you get lifetime access to every lesson, workflow, and walkthrough, so you can go at your own pace and revisit any step as you build. If you have any questions or get stuck along the way, just leave them in the questions section and I'll do my best to help. In short, this is your complete, step-by-step guide to OpenClaw and TikTok automation. Get ready to build your own content machine, and let's get into this together! Whether your goal is to grow a faceless TikTok page, automate content for your brand, or finally build a real AI agent that does the work for you, you're in the right place to put automation to work. So let's dive in and build the whole system, start to finish. Who this course is for⭐ Content creators who want their TikTok slideshows generated and posted to drafts automatically ⭐ Solo founders and marketers looking to grow a TikTok presence as a one-person team ⭐ Developers and AI enthusiasts interested in building and running their own self-hosted agent ⭐ Beginners seeking a hands-on AI project that produces and posts real content ⭐ Small agencies and businesses aiming for a steady stream of TikTok content with less manual work Homepagehttps://www.udemy.com/course/openclaw-for-tiktok-master-ai-content-automation Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me No Password - Links are Interchangeable OWASP Top 10 for LLMs Complete Hands– On Labs Published 6/2026 Created by Dr. Amar Massoud MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 67 Lectures ( 6h 21m ) | Size: 2 GB Attack and defend a real LLM chat + RAG app against the OWASP Top 10 for LLMs - hands-on, locally, with free Ollama. What you'll learn⚡ Recognize all 10 OWASP Top 10 for LLM Applications (2025) categories in real chat and RAG systems. ⚡ Exploit and then defend a working local LLM app - run each attack in vulnerable mode, then watch the defenses block it. ⚡ Configure seven composable defenses: prompt filter, input validator, output sanitizer, rate limiter, context isolator, tool guard, RAG validator. ⚡ Write a threat model and defense-in-depth plan for any new LLM-powered product or feature. Requirements❗ Comfort with the command line and basic jаvascript/TypeScript - you will read and edit small code modules. ❗ A laptop with 8 GB+ RAM that can run a local model with Ollama (free) - no cloud account or API key required. ❗ Familiarity with web apps and basic LLM/chatbot concepts is helpful but not required. DescriptionThis course contains the use artificial intelligence. Large language models broke a core assumption of application security: there is no clean separation between data and instructions. This course teaches the OWASP Top 10 for LLM Applications (2025) the only way that really sticks - by exploiting each weakness in a working app, then defending against it. You will run a local, open-source lab: a Next.js chat assistant wired to a Retrieval-Augmented Generation pipeline, powered entirely by Ollama on your own machine. No cloud account, no API key, nothing to pay for. Every scenario is run twice - once in vulnerable mode where the attack succeeds, and once in defended mode where a chain of real defenses stops it. You see the same prompt leak data in one mode and get refused in the other, then read the defense source code that made the difference. Across twelve sections you will cover all ten categories: prompt injection, sensitive information disclosure, supply chain, data and model poisoning, improper output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, misinformation and overreliance, and unbounded consumption (denial of wallet). You will configure and inspect seven composable defenses - prompt filter, input validator, output sanitizer, rate limiter, context isolator, tool guard, and RAG validator - and learn exactly which attacks each one stops and why heuristics alone are never enough. The course follows a single fictional company, NovaBridge, through a continuous incident-driven story, so the threats land in a realistic enterprise context. Each section ends with a hands-on assignment, and the course closes with a capstone where you threat-model and harden a brand-new product across all ten categories. By the end you will be able to recognize every OWASP LLM risk in real systems and write a defense-in-depth plan for any LLM-powered product you build. Who this course is for⭐ Security engineers and application security leads securing LLM-powered features. ⭐ AI/ML engineers who want to harden chat and RAG systems against real attacks. ⭐ SOC analysts and red/blue teamers adding LLM threats to their playbook. Homepagehttps://www.udemy.com/course/owasp-top-10-for-llms-complete-hands-on-labs Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable  Maven – AI Software Development From First Prompt to Production Code Released 6/2026 By Mihail Eric MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 1h 44m | Size: 192.5 MB Increase developer productivity with AI-first, production-ready workflows Today many developers use AI, but few are maximally productive with it. I created Stanford's first AI software development class, and after building a YC-backed coding company and leading AI at Amazon, I've seen how top engineers integrate AI into production workflows. My techniques have been used to train 200+ Stanford engineers and industry professionals. My goal is simple: make you dramatically more productive writing software with AI than without it. In this course, you'll learn practical, end-to-end workflows for using AI in real-world development, not toy examples. We'll cover Building production features with AI agents using the research → plan → implement → test workflow Configuring an optimal AI native dev environment for your specific tech stack (IDE, code review, tool integrations, and beyond) Setting up review and CI processes that catch AI errors, hallucinations, and slop before production Enabling multiple agents to work together on the same codebase without conflict, accelerating software delivery and throughput If you're ready to write better code, ship to production faster, and stay in control of your coding agents, let's get started. What you'll learn Ship production features 2x faster by using coding agents across research, planning, implementation, testing, and review workflows Configure optimal AI-first developer environments to improve your coding output Set up any AI dev environment (Cursor, Claude Code, Windsurf) with custom prompting patterns optimized for your tech stack and coding style Learn how to navigate the ecosystem of cutting-edge AI developer tools Choose the right AI coding tools for your use case (lessons from evaluating 100+ products in the market) Exercise effective strategies for prompting and building with coding agents Build production features using the research → plan → implement → test → review loop that handles complex software tasks Reduce hallucinations, software errors, and AI slop all while shipping faster Identify which tasks coding agents handle autonomously and which need human oversight (and set up automated checks for both) Become a manager of coding agents so you can keep many agents productive Coordinate 3+ coding agents asynchronously on the same codebase without merge conflicts or quality issues Develop a deep intuition for how AI coding platforms work under-the-hood Build your own coding agent and MCP server from scratch to understand how Cursor and Claude Code actually work Learn how agents like Claude Code are prompted and context engineered to handle autonomous software tasks Who this course is forEngineers who want to increase their productivity with AI-generated code while making it actually production grade. Engineering managers who want to ensure their teams aren't being left behind when it comes to the new way of developing software. Those confused about how to develop with AI the right way (how to maintain context and manage multiple agents without compromising code) Homepagehttps://maven.com/the-modern-software-developer/ai-course Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable Matillion Masterclass ETL & Data Engineering for Success Published 6/2026 Created by Kashif Hussain MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 24m ) | Size: 1 GB Matillion Cloud ELT: Design, Automate, and Optimize Data Pipelines, Build Scalable Cloud Data Pipelines & Productivity. What you'll learn⚡ Understand the fundamentals of Matillion Data Productivity Cloud and modern ELT architecture. ⚡ Explain the differences between ETL and ELT and identify appropriate use cases for each approach. ⚡ Understand Matillion's architecture, deployment models, and cloud-native design principles. ⚡ Explore integration with leading cloud data warehouses and modern data ecosystems. ⚡ Understand security architecture, user access management, and governance concepts in Matillion. ⚡ Learn how orchestration pipelines manage enterprise data workflows and automation. ⚡ Explain transformation components, data flow, and advanced transformation techniques. ⚡ Use variables, grid variables, and parameterization to build dynamic and reusable workflows. ⚡ Apply conditional logic, looping strategies, and flow control mechanisms within Matillion jobs. ⚡ Learn error handling, transaction management, monitoring, and audit logging best practices. ⚡ Optimize ELT pipelines for scalability, performance, and cloud resource efficiency. ⚡ Understand how to process semi-structured data and modern data formats. ⚡ Explore API integration concepts and custom connector architectures. ⚡ Understand high availability, scalability, and enterprise best practices for cloud data engineering solutions. Requirements❗ An interest in data engineering, cloud data integration, or modern ELT workflows. ❗ A willingness to learn enterprise data architecture and cloud-based automation concepts. Description"This course contains the use of artificial intelligence." || Unofficial Course || Welcome toMatillion Data Productivity Cloud Mastery: Complete ELT & Data Engineering, a comprehensive course designed to help you build a strong understanding of modern cloud-based data integration, orchestration, and transformation usingMatillion. Whether you are an aspiring data engineer, analytics professional, cloud developer, or IT practitioner, this course will provide you with the knowledge needed to understand how enterprise-grade ELT solutions are designed, managed, and optimized in today's cloud data ecosystem. Modern organizations generate enormous amounts of data from diverse sources, making efficient data integration and transformation more important than ever. Matillion has become one of the leading cloud-native ELT platforms, enabling organizations to automate data ingestion, build scalable transformation pipelines, integrate with leading cloud data warehouses, and deliver reliable data for business intelligence, reporting, machine learning, and advanced analytics. This course takes you through the complete architecture, concepts, and best practices behind the Matillion Data Productivity Cloud and demonstrates how its components work together to create efficient, enterprise-ready data workflows. You will begin by exploring the foundations of Matillion, including the evolution of ETL and ELT methodologies, the architecture of the Data Productivity Cloud, deployment models, cloud data warehouse integrations, and the security principles required to protect enterprise data environments. Understanding these core concepts will help you appreciate why cloud-native ELT has become the preferred approach for modern data engineering. As you progress, you will gain a detailed understanding of orchestration pipelines, transformation workflows, connector frameworks, and data ingestion strategies. You will learn how Matillion manages data movement, transformation logic, metadata, and schema evolution while supporting scalable cloud data platforms. The course also explains how transformation components interact to create reliable and maintainable enterprise data pipelines. A significant portion of the course focuses on workflow automation and dynamic pipeline design. You will explore variables, grid variables, parameterization techniques, conditional logic, looping strategies, environment management, and reusable workflow components that make enterprise data pipelines flexible, efficient, and easier to maintain. Operational excellence is another key focus of this course. You will learn enterprise scheduling strategies, trigger mechanisms, transaction management, error handling methodologies, monitoring frameworks, audit logging, performance measurement, and governance principles. You will also understand how version control with Git supports collaborative development and how organizations maintain high-quality deployment processes across multiple environments. Performance optimization is covered extensively, enabling you to understand how to design scalable ELT workflows that maximize cloud warehouse performance while minimizing execution costs. You will explore optimization techniques for transformations, orchestration jobs, resource utilization, and workload management across cloud platforms. The course also introduces several advanced topics that are increasingly important in modern data engineering. You will learn about processing semi-structured data, parsing and flattening complex datasets, integrating with external APIs, understanding custom connector architectures, working with modern data lake concepts such as Delta Lake, and designing highly available, fault-tolerant, enterprise-scale data integration solutions. Throughout the course, emphasis is placed on industry best practices, architectural design principles, workflow optimization, governance, automation, scalability, and maintainability. Rather than simply learning individual features, you will develop a complete understanding of how enterprise organizations build reliable cloud ELT ecosystems using Matillion. By the end of this course, you will possess a solid conceptual foundation in Matillion Data Productivity Cloud, understand modern ELT architecture and cloud data engineering principles, and be equipped with the knowledge required to contribute to enterprise data integration projects, support cloud analytics initiatives, and confidently explore advanced implementations in professional environments. Whether your goal is to expand your cloud data engineering expertise, strengthen your understanding of enterprise ELT platforms, prepare for technical interviews, or advance your career in data engineering, analytics engineering, business intelligence, or cloud data architecture, this course provides a structured and comprehensive learning path to help you achieve those objectives. Thank you Who this course is for⭐ Aspiring Data Engineers who want to learn modern cloud-based ELT and data integration concepts using Matillion. ⭐ Data Engineers looking to expand their knowledge of enterprise data pipelines and workflow automation. ⭐ Analytics Engineers who want to understand cloud-native data transformation and orchestration. ⭐ Data Analysts and Business Intelligence Professionals seeking a deeper understanding of data integration processes. ⭐ Cloud Engineers interested in modern data engineering architectures and cloud data warehouse ecosystems. ⭐ Database Developers and Database Administrators who want to broaden their expertise in cloud data engineering. ⭐ Solution Architects and Technical Consultants involved in designing enterprise data integration solutions. ⭐ Students and graduates preparing for careers in data engineering, cloud analytics, or data platform development. ⭐ IT professionals and technology enthusiasts who want to gain a comprehensive understanding of Matillion Data Productivity Cloud and enterprise ELT best practices. ⭐ Anyone interested in learning how modern organizations build, automate, optimize, and govern cloud-based data pipelines using Matillion. Homepagehttps://www.udemy.com/course/matillion-masterclass-etl-data-engineering-for-success Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable Life Insurance Simplified Using Industry Knowledge Structure Published 6/2026 Created by KDD Educations MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures ( 54m ) | Size: 367.5 MB Building Practical Skill from Concept to Practice for Technology, Busines and Sales Professionals and Students What you'll learn⚡ Master the skill of structuring and quantifying domain knowledge ⚡ Apply structured learning to the Life Insurance domain ⚡ Bring quantification, measurability, and transparency to Life Insurance ⚡ Assist in requirement, analysis, build and test for project execution ⚡ Seed Industry Knowledge in academia through domain agnostic structure plugging industry-academia gap Requirements❗ Entry level course on Life Insurance, no prerequisite required ❗ A basic understanding of software development environment will be helpful although not a prerequisite ❗ Willingness to learn Life Insurance using a new skill of knowledge structuring DescriptionLearning Life Insurance Through "Industry Knowledge Structure" - A New Way to Understand and Apply the Domain Life insurance is often considered one of the challenging domains to learn. While many courses explain concepts such as underwriting, claims, products, and regulations, learners frequently struggle to connect that knowledge to real-world work. Understanding a concept is one thing; applying it in projects for Requirements, solutioning, coding and testing is another.This course aims to bridge the gap and introduces learning life insurance both at high level and at detailed level connecting them seamlessly. Whereas high level information replaces traditional courses, detailed level information can be reused directly for project execution. Industry Knowledge Structure is a unique feature of this course that makes it happen, an innovation inspired by Knowledge-Driven Development (KDD), a Knowledge Management Framework. Industry Knowledge Structure is hierarchical and consists of three expanding layers known as contextual, conceptual and operational knowledge. The course is especially valuable for Business Analysts, Test Analysts, Product Owners, Developers, and other professionals working in insurance domain. This course has three sections, and the first section explains life insurance in a traditional way. The second section introduces Industry Knowledge Structure and uses it to learn Life Insurance. Third section explains benefits of learning through structure and demonstrates how it can be used to learn banking domain as well. It particularly helps newcomers build domain knowledge faster and with greater confidence. This course introduces many firsts in learning life insurance · Structures life insurance and brings in quantification in it, that makes it measurable. · Structure when populated becomes single source of industry for life insurance · Structure is domain agnostic, demonstrated through the example of Banking domain. · It bridges high level to detailed level information in a seamless manner. Structured knowledge assists both human and artificial intelligence and it can be used by Gen AI in their RAG (Resource-Augmented Generation) model. By the end of the course, you will not only understand life insurance better—you will gain a powerful new skill: the ability to learn, organize, measure, and apply domain knowledge in a structured and scalable way. Who this course is for⭐ Project Delivery Roles in Life Insurance: Business Analysts, Product Owners, Test Analysts, User Acceptance Testers, Developers, and Project Managers ⭐ Anyone who wants to learn Life Insurance in a scientific way including Life Insurance Agents and Front and Back End workers in Life Insurance Companies ⭐ Students of Engineering and Management colleges who want to learn a skill to gain expertise in industry knowledge Homepagehttps://www.udemy.com/course/life-insurance-simplified-using-industry-knowledge-structure Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me No Password - Links are Interchangeable ITIL 4 Foundations Masterclass – 2026 Exam Prep Published 6/2026 Created by Jacob Bushong MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 61 Lectures ( 6h 19m ) | Size: 3.4 GB Complete ITIL 4 certification prep: all 7 domains - key concepts of service management, and more What you'll learn⚡ Understand and apply key concepts of service management concepts including core definitions and creating value with services ⚡ Evaluate service relationships in the context of key concepts of service management ⚡ Understand and apply the seven guiding principles concepts including nature, use, and interaction and the seven principles ⚡ Understand and apply the four dimensions of service management concepts including the four dimensions ⚡ Understand and apply the service value system (svs) concepts including the service value system ⚡ Understand and apply the service value chain concepts including the value chain and value streams and the six activities ⚡ Understand purpose and key terms of 15 practices: additional practices — purpose only, seven key-term definitions ⚡ Understand and apply seven practices in depth concepts including improvement and change and incident and problem ⚡ Evaluate requests, support, and service levels in the context of seven practices in depth ⚡ Practice with exam-style questions designed to mirror the difficulty and format of the ITIL 4 exam Requirements❗ No specific prerequisites required. Some familiarity with ITIL 4-related concepts is helpful but not mandatory — this course teaches everything from the ground up. DescriptionThis course contains the use of artificial intelligence. However, every lecture recording involves me, and I am fully involved in scripting and production. Be careful buying courses with instructors that don't appear in person. AI courses are becoming quite common on learning platforms. This course is a complete, structured study program for the PeopleCert ITIL 4 Foundation (ITIL 4) exam. Built domain by domain against the official exam blueprint, it covers every topic area you need to understand before sitting for the exam. Each lesson is a narrated video that explains how concepts connect to each other and to real-world practice — not just what the definition is, but how a practitioner applies it. This course is not affiliated with, endorsed by, or certified by AXELOS Limited or PeopleCert. ITIL® is a registered trademark of AXELOS Limited. D1 — Key Concepts of Service Management (12% of the exam) — covers service, service management, and sponsor, customer and user — the two consumer roles that get confused, utility and warranty as definitions (fit for purpose / fit for use), value, outcome, and output — the distinctions the exam tests most, cost and risk — the two-sided view (removed from vs imposed on the consumer), organization, utility, and warranty in the value model, service offering — goods, access, and service actions, service provision and service consumption — who is responsible for what, service relationship management and value co-creation. You will understand how each of these areas is tested on the exam and how they connect to real-world practice. D2 — The Seven Guiding Principles (15% of the exam) — covers what a guiding principle is — universal, enduring, self-reinforcing, how the principles interact, reinforce, and trade off, focus on value, start where you are, progress iteratively with feedback, collaborate and promote visibility, think and work holistically, keep it simple and practical, optimize and automate. You will understand how each of these areas is tested on the exam and how they connect to real-world practice. D3 — The Four Dimensions of Service Management (5% of the exam) — covers organizations and people, information and technology, partners and suppliers, value streams and processes, the pestle external factors that act on all four dimensions. You will understand how each of these areas is tested on the exam and how they connect to real-world practice. D4 — The Service Value System (SVS) (2% of the exam) — covers purpose and the five components of the svs (inputs, elements, outputs), governance, and how the svs counters organizational silos. You will understand how each of these areas is tested on the exam and how they connect to real-world practice. D5 — The Service Value Chain (5% of the exam) — covers the operating model — how the svc converts demand into value via value streams, plan, improve, and engage, design & transition, obtain/build, and deliver & support. You will understand how each of these areas is tested on the exam and how they connect to real-world practice. D6 — Purpose and Key Terms of 15 Practices (17% of the exam) — covers information security management, relationship management, supplier management, it asset management, monitoring and event management, release management, service configuration management, deployment management, it asset, configuration item (ci), and event, change, incident, problem, and known error. You will understand how each of these areas is tested on the exam and how they connect to real-world practice. D7 — Seven Practices in Depth (42% of the exam) — covers continual improvement — the practice and the continual improvement model (7 steps), change enablement — standard, normal, and emergency changes; the change authority, incident management — prioritization, escalation, and major incidents, problem management — problems, known errors, and workarounds (and vs incident), service request management — fulfilling pre-defined user requests, service desk — the single point of contact and its empathy/ux role, service level management — slas, metrics, and the watermelon-sla trap. You will understand how each of these areas is tested on the exam and how they connect to real-world practice. Every domain includes practice questions designed to mirror the style and difficulty of ITIL 4 exam scenarios, covering not just recall but application and analysis. The course closes with full-length practice exams with detailed answer explanations, so you can measure your readiness and focus your remaining study time where it matters most. Major topics covered: service, service management, and sponsor, customer and user — the two consumer roles that get confused, utility and warranty as definitions (fit for purpose / fit for use), value, outcome, and output — the distinctions the exam tests most, cost and risk — the two-sided view (removed from vs imposed on the consumer), organization, utility, and warranty in the value model, service offering — goods, access, and service actions, service provision and service consumption — who is responsible for what, service relationship management and value co-creation, what a guiding principle is — universal, enduring, self-reinforcing, how the principles interact, reinforce, and trade off, focus on value, start where you are, progress iteratively with feedback, collaborate and promote visibility, think and work holistically, keep it simple and practical, optimize and automate, organizations and people, information and technology, partners and suppliers, value streams and processes, the pestle external factors that act on all four dimensions, purpose and the five components of the svs (inputs, elements, outputs), governance, and how the svs counters organizational silos, the operating model — how the svc converts demand into value via value streams, plan, improve, and engage, design & transition, obtain/build, and deliver & support, information security management, relationship management, ITIL 4 Who this course is for⭐ Anyone preparing for the ITIL 4 certification exam. Homepagehttps://www.udemy.com/course/itil-4-foundations-masterclass Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable ISO 22301 Business Continuity Audit & Management Published 6/2026 Created by ISO Xpert MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 45 Lectures ( 5h 28m ) | Size: 7.2 GB Master BCM auditing, BIA, risk assessment, recovery strategies & ISO 22301:2019 certification with real-world case study What you'll learn⚡ Understand the full structure, Requirements, and intent of ISO 22301:2019 and its relationship to ISO 19011 and ISO 17021 auditing standards⚡ Conduct thorough Business Impact Analyses (BIA) and enterprise-level risk assessments aligned with ISO 22301 Requirements⚡ Plan, execute, document, and follow up on first-, second-, and third-party BCMS audits using structured audit techniques ⚡ Develop, test, and maintain ISO-compliant Business Continuity Plans, Incident Response Procedures, and Recovery Strategies ⚡ Lead audit teams effectively, manage audit evidence, handle non-conformities, and write professional audit reports and findings ⚡ Interpret every clause of ISO 22301:2019 with auditor-level precision, including Context, Leadership, BIA, Operations, and Performance Evaluation ⚡ Apply real-world case studies and advanced practitioner strategies to manage complex BCMS scenarios across multiple industries ⚡ Prepare organizations for ISO 22301 third-party certification and maintain continual improvement of the BCMS over time Requirements❗ Basic familiarity with organizational management concepts and business operations ❗ Foundational understanding of risk management principles (formal certification not required) ❗ Experience working in or with organizations — relevant to any industry or sector ❗ No prior ISO 22301 knowledge is required; the course builds from foundational to advanced levels ❗ Familiarity with audit concepts or quality management systems (ISO 9001, ISO 14001) is beneficial but not mandatory ❗ Access to a computer or device for online learning; a printed or digital copy of ISO 22301:2019 is recommended but not mandatory ❗ Willingness to engage with technical content, case studies, exercises, and real-world audit scenarios DescriptionThis course contains the use of artificial intelligenceIn an era of escalating cyber threats, climate-related disruptions, geopolitical volatility, and pandemic-level crises, the ability of organizations to anticipate, prepare for, respond to, and recover from disruptions is no longer optional it is a strategic imperative. ISO 22301:2019, the internationally recognized standard for Business Continuity Management Systems (BCMS), provides organizations with a robust framework to achieve precisely this level of organizational resilience. This course is the most comprehensive, practical, and professionally structured program available for mastering Business Continuity Management (BCM) auditing and implementation using ISO 22301:2019. Whether you are a seasoned auditor, a risk management professional, an IT specialist, or a business continuity manager seeking certification, this course delivers the technical depth, conceptual clarity, and hands-on tools you need to succeed. Structured across 8 rigorous modules, you will journey from the foundational principles of BCM and the history of ISO 22301 through to the advanced auditing techniques, lead auditor competencies, and real-world application of the standard across diverse industries and geographies. Each module is carefully designed using proven adult learning methodologies, with step-by-step explanations, worked examples, case studies from the UK, USA, Europe, Asia, and Australia, and advanced tips and tricks from certified BCM practitioners. You will learn how to conduct first-, second-, and third-party audits of a BCMS; perform Business Impact Analysis (BIA) and risk assessments; develop and test Business Continuity Plans (BCPs); lead audit teams through planning, execution, reporting, and follow-up; interpret and apply every clause of ISO 22301:2019; and prepare organizations for certification against the standard. The final module brings everything together with detailed real-world case studies from Singapore and the United Kingdom, worked examples from Australia and Germany, and five advanced practitioner tips and tricks to elevate your audit practice above the ordinary. By the end of this course, you will be fully equipped to function as a competent ISO 22301 Internal Auditor, Lead Auditor candidate, or BCMS Implementation Leader within your organization. Who this course is for⭐ Business Continuity Managers and Officers seeking formal ISO 22301 competency and certification preparation ⭐ Internal Auditors wishing to expand their audit portfolio to include BCMS auditing capabilities ⭐ Risk Managers, Compliance Officers, and Governance Professionals responsible for organizational resilience ⭐ IT Disaster Recovery and Information Security professionals integrating BCM into their technical functions ⭐ Management Consultants and Advisors supporting clients through ISO 22301 implementation and certification ⭐ Quality, EHS, and HSE Managers already familiar with ISO management systems seeking BCM specialization ⭐ Senior Management, Directors, and C-Suite Executives who oversee BCM programs and need strategic understanding ⭐ Students and Graduates in Business Administration, Risk Management, or Information Security pursuing BCM careers Homepagehttps://www.udemy.com/course/iso-22301-business-continuity-audit-management Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable How to make your Cloud GPU Rental and Payment Gateway– I Published 6/2026 Created by Gunjan Ghimire MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 5 Lectures ( 54m ) | Size: 770 MB RunPod/VastAI-style GPU rental SaaS with an integrated payment module What you'll learn⚡ Design a complete cloud GPU rental architecture, from user signup to automated billing and usage tracking. ⚡ Implement a production-ready GPU rental backend with APIs for instance lifecycle: create, start, stop, and tear‑down. ⚡ Build a secure payment gateway module and usage‑based billing. ⚡ Integrate real‑time GPU metering so users pay only for the compute hours they consume on your platform. Requirements❗ No Programming Experience Needed DescriptionAre you tired of relying only on big cloud providers for GPU compute and want to build yourown GPU rental platform, similar to RunPod or Vastai, with a fully integrated payment module? In this hands-on course, you will build a complete mini GPU cloud from scratch: from user sign‑up and GPU instance provisioning to real‑time metering and automated billing. We'll start by breaking down the architecture of a modern cloud GPU rental service and the different business models (fixed plans, pay‑as‑you‑go, and marketplace‑style rentals). You will understand how to connect your frontend, backend APIs, and GPU nodes so users can launch, stop, and destroy GPU instances securely over the web. Once the core flows are ready, we'll add real‑time usage tracking and dashboards. You'll build simple admin and customer views to monitor active GPU sessions, hourly costs, and historical invoices. Finally, we'll walk through deployment, domain and SSL setup, and basic logging/monitoring so your GPU rental SaaS is ready for real users, not just local demos. By the end of this course, you will have a working prototype of a cloud GPU rental platform with an integrated payment gateway that you can extend for your own startup, internal tools, or client solutions. Who this course is for⭐ Anyone with Access to a computer and basic understanding of English. Homepagehttps://www.udemy.com/course/how-to-make-your-cloud-gpu-rental-and-payment-gateway-i Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me No Password - Links are Interchangeable How To Make a Truck Simulator Game in Unreal Engine 5 Published 6/2026 Created by Indie Game Publishing Academy MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 11 Lectures ( 2h 43m ) | Size: 1.7 GB Build a Truck Simulator in Unreal Engine 5 using Blueprints, Chaos Vehicles, Blender Rigging, Dynamic Missions, Cargo What you'll learn⚡ Build a complete Truck Simulator game from scratch using Unreal Engine 5. ⚡ Rig and prepare truck models in Blender for Unreal Engine. ⚡ Set up realistic truck physics, wheels, suspension, steering, and drivetrain. ⚡ Configure Chaos Vehicles and create a fully drivable truck. ⚡ Create player controls, camera systems, and vehicle interaction. ⚡ Use Blueprints to build production-ready gameplay systems without requiring C++. ⚡ Structure a professional Unreal Engine project using best development practices. Requirements❗ A Windows PC capable of running Unreal Engine 5. ❗ Unreal Engine 5 installed on your computer (installation guidance will be provided). ❗ Blender installed for truck rigging (free software). ❗ No prior experience with truck simulator development is required. ❗ Basic computer skills, such as creating folders and installing software. ❗ No C++ programming knowledge is required—everything is taught using Unreal Engine Blueprints. DescriptionHave you ever wanted to build your own Truck Simulator game from scratch? In this comprehensive course, you'll learn how to create a complete truck simulator usingUnreal Engine 5,Blueprints, andBlender—without needing C++ programming. This course takes you through the complete development process, from preparing a truck model to creating a fully playable simulator with realistic driving mechanics and gameplay systems. You'll learn how professional simulator games are built using modular, scalable systems that are easy to expand as your project grows. What You'll Build By the end of this course, you'll have a fully functional Truck Simulator featuring ✨ A drivable truck with realistic vehicle physics ✨ Proper truck rigging using Blender ✨ Chaos Vehicle setup in Unreal Engine 5 ✨ Steering, suspension, wheels, and drivetrain configuration ✨ Third-person driving camera and player controls ✨ Open-world driving environment ✨ Dynamic cargo pickup and delivery missions ✨ Money and reward system ✨ Job selection and mission progression ✨ Modular Blueprint architecture for future expansion What you'll learn✨ Rigging truck models for Unreal Engine using Blender ✨ Importing and configuring vehicles in Unreal Engine 5 ✨ Setting up Chaos Vehicle physics ✨ Creating realistic truck driving mechanics ✨ Building reusable Blueprint systems ✨ Designing a dynamic mission and job system ✨ Implementing cargo pickup and delivery gameplay ✨ Creating an economy and reward system ✨ Organizing large Unreal Engine projects professionally ✨ Best practices for simulator game development Why Take This Course? Instead of only showing you how to make a vehicle move, this course focuses on building a complete simulator game. Every system is designed to be reusable, making it easy to add new trucks, trailers, jobs, maps, and gameplay features in the future. Whether you're building a truck simulator, bus simulator, delivery game, or any other driving simulation, the techniques taught in this course will provide a strong foundation for creating professional-quality projects. Who this course is for⭐ Beginners who want to learn how to build a Truck Simulator game using Unreal Engine 5. ⭐ Unreal Engine developers interested in creating realistic vehicle-based games. ⭐ Students who want to learn Chaos Vehicle physics and truck setup from scratch. ⭐ Indie game developers building truck, bus, or driving simulator games. ⭐ Blueprint developers who want to create complete gameplay systems without using C++. ⭐ Game developers looking to build dynamic mission, cargo delivery, and economy systems. ⭐ Anyone interested in learning professional game development workflows used in simulator games. ⭐ Developers who want to create scalable and reusable systems for future vehicle simulation projects. Homepagehttps://www.udemy.com/course/how-to-make-a-truck-simulator-game-in-unreal-engine-5 Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
No Password - Links are Interchangeable Google Gemini Course AI, GenAI, LLM, VEO, Nano Banana, More Published 6/2026 Created by Being Commerce MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 72 Lectures ( 8h 53m ) | Size: 11.5 GB Learn Gemini AI, prompt engineering, Nano Banana 2, VEO tutorial, Omni Flash, and Gemini Workspace integration. What you'll learn⚡ Set up and access Google Gemini on any device for free ⚡ Understand all Gemini AI models: Flash, Nano Banana, VEO, Omni Flash, and Lyria ⚡ Write prompts that produce precise, high-quality results every time ⚡ Complete 9 real-world tasks including blog posts, cold emails, YouTube scripts, and code debugging ⚡ Upload and summarize documents using Gemini's file upload feature ⚡ Run deep research and create structured reports using NotebookLM inside Gemini ⚡ Create your own custom AI assistant using Gems ⚡ Use Gemini Live for real-time voice-based conversations ⚡ Connect Gemini to Google Workspace apps including Gmail and Docs ⚡ Generate AI images using Nano Banana with full prompt control ⚡ Edit photos: change backgrounds, combine images, remove objects, adjust poses, and more ⚡ Create consistent characters across a story timeline using multi-image prompting ⚡ Generate AI videos from text and images using VEO and Omni Flash ⚡ Edit and produce videos using Google Flow, Google Vids, and Omni Flash ⚡ Access Google AI Studio and generate your own API key Requirements❗ A device with internet access (laptop, tablet, or phone) ❗ A free Google account ❗ No prior AI or coding experience needed ❗ No paid subscriptions required to follow the core content DescriptionWhat if you could generate images, create videos, write content, run deep research, and build your own AI assistant — all inside one free tool? That tool is Google Gemini. And right now, most people using it are barely scratching the surface. This Gemini course is the most complete, hands-on guide available. Whether you are opening Gemini for the first time or you have been using it casually without real results, this course takes you from zero to fully confident — with practical examples at every step. We start with the foundation. You will learn what Google Gemini actually is, how to access it, and how its AI models work — Flash, Nano Banana, VEO, Omni Flash, and Lyria. Then we move into prompt engineering, the skill that separates people who get generic outputs from those who get exactly what they want. You will practice 9 real-world use cases: writing blog posts, creating YouTube scripts, writing cold emails, learning new topics fast, validating business ideas, writing social media captions, debugging code, summarizing documents, and creating resumes using the Canvas feature. That is just the first half. In the deeper sections of this Gemini tutorial, you will go inside NotebookLM and run structured deep research on any topic. You will create your own custom AI assistant using Gems. You will use Gemini Live for real-time voice conversations. You will connect Gemini to Google Workspace and use it directly inside Gmail, Docs, and more. You will also get hands-on with Google AI Studio — generating your own API key and seeing how developers use Gemini as a foundation for building applications. Then the course goes even further. The Nano Banana section is a complete AI image creation module on its own. You will learn how to generate images using Google Gemini, Google Flow, and Google Vids. You will master prompt engineering for images — subject, setting, style, and enhancement elements. You will work through real techniques: changing backgrounds, turning people into characters, combining two images, removing objects, adjusting poses and expressions, changing styles, creating 3D characters, blending multiple images, placing text behind subjects, using multi-image prompting, and building consistent characters across a story timeline. This is not a surface-level overview — it is a full creative toolkit. The final section covers VEO and Omni Flash for complete AI video creation. You will learn how VEO and Omni work, generate videos from text and images, use Google Flow and Google Vids for video creation, apply video prompt engineering, create consistent characters across scenes, edit videos using Omni Flash, generate videos from reference images, and use AI agents to automate video workflows. Here is the truth: the people getting real results with AI right now are not more talented than you. They just know which features to use and how to use them correctly. Every hour you spend doing manually what Gemini could do in seconds is time you are not getting back. This course closes that gap. By the end, you will have a real, working skill set built around one of the most capable AI platforms available today. You will know how to create content, generate visuals, produce videos, run research, and connect AI into your daily workflow — whether you are a student, a professional, a creator, or a business owner. This Gemini course is beginner-friendly, packed with practical examples, and built for people who want to actually use AI — not just understand it. Every lecture is focused, clear, and built around what works in the real world. Start this Gemini tutorial today. By the time you finish, you will have a tool that works as hard as you do. Who this course is for⭐ Beginners who want to start using Google Gemini from scratch ⭐ Content creators who want to generate images, videos, and written content faster ⭐ Professionals looking to save time on writing, research, and daily tasks ⭐ Students who want to learn faster using AI tools ⭐ Marketers and social media managers who want to speed up content production ⭐ Business owners who want to validate ideas and automate routine tasks ⭐ Developers curious about Google AI Studio and API access ⭐ Anyone who tried Gemini and wants to go deeper than the basics Homepagehttps://www.udemy.com/course/google-gemini-course-ai-genai-llm-veo-nano-banana-more Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
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