SAP TM – Unified Package Building (UPB): Step-by-Step Config

This hands-on machine learning course builds a clear, practical foundation in the field, moving from core ideas to real implementations. We open with what machine learning is, how it works, and the main application areas, then introduce supervised learning through the most accessible gateway: linear regression. You’ll see the contrast between traditional programming and the machine-learning approach, and learn how gradient descent works in practice—comparing full-batch, mini-batch, and stochastic updates. From there we step into the artificial neuron and use it to implement linear regression with a single neuron, cementing intuition before scaling up. A short quiz consolidates the essentials on supervised, unsupervised, and reinforcement learning.We then dive deeper into regression: the algebraic method to ground your math intuition, one-dimensional regression, and the ML training pipeline for linear models, culminating in a truly simple neural network and extensions to multiple dependent variables. Next, in classification, you’ll assemble a deep neural network, define the target classes, and practice training and testing a model—connecting theory to usable evaluation workflows.When moving to sequential data, you’ll learn how to predict hourly temperature with an RNN in PyTorch. In a dedicated lesson built with Cursor and AI prompting, you start from a detailed specification and use Cursor to generate a complete, runnable script: you’ll fetch real historical weat

If you had always wanted to learn how software protection works and how to use x64dbg to unpack them, then this is the course for you. This course is an introduction to Software Protection for anyone who wants to get started in this field. It is suitable for software developers who want to learn how to protect their software and also for reverse engineers who want to fix bugs where the source code is not available.You will learn how to use x64dbg to unpack Crackmes protected with packing and anti-debugging. A CrackMe is a small program designed to test a programmer's reverse engineering skills. What you will learnHow to set hardware breakpoints and analyze the unpacking header stubDumping unpacked executable from memoryFixing Import Address Tables (IAT) after dumping memory.Modify program behaviourPatching programsCreating loaders for process patchingWhat if the program cannot be unpacked3 techniques to unpack multiple protectionsPrerequisites:Before taking this course, you should already be familiar with how to use x64dbg. Money back guarantee:This course is backed by a 30-day money back guarantee. So, go ahead and enroll in this course now and start reverse engineering and debugging programs the fun and easy way!

Mastering Computer Vision: From Pixel to Detection to Gen-CVTransform from Curious Learner to Confident Computer Vision Engineer in 34 HoursAre you ready to build the technology that's shaping our visual world?Computer Vision isn't just the future—it's NOW. Self-driving cars navigate streets. Apps recognize your face. AI creates stunning artwork. Behind every visual innovation lies computer vision technology, and the demand for skilled CV engineers has never been higher. Companies like Google, Tesla, Meta, and countless startups are desperately seeking professionals who can build, deploy, and optimize vision systems—with salaries ranging from $100K to $200K+.But here's the challenge: most courses either drown you in theory without practical application, or throw you into deep learning frameworks without building the foundational understanding you need to truly succeed.This course is different."Mastering Computer Vision: From Pixel to Detection to Gen-CV" provides the complete journey—from understanding how computers process individual pixels to deploying state-of-the-art generative AI models. Whether you're a student wanting to stand out, a professional pivoting careers, a researcher seeking implementation skills, or an entrepreneur building a vision-based product, this comprehensive path takes you from zero to deployment-ready.What Makes This Course Unique?Progressive Learning Architecture: We don't skip steps. You'll start with classical image processing and OpenCV fundamentals, building intuition for how computers truly "see." Then you'll master convolutional neural networks, understanding not just how to use them, but why they work. Finally, you'll explore cutting-edge architectures like Vision Transformers, DETR, and SAM—the same models powering today's AI breakthroughs.34 Hours of Hands-On Practice: Every concept is demonstrated in code. Every module includes practical projec

This course teaches the skills required for the Microsoft Applied Skill: Build an agent in Microsoft Copilot StudioThis course uses the classic Microsoft Copilot Studio interface, as the Microsoft Applied Skill required you to create topics, which is not supported in the new Microsoft interface.Please note: This course is not affiliated with, endorsed by, or sponsored by Microsoft.In this 2 hour course:We'll sign into Microsoft Copilot Studio, either with a free trial or using the pay-as-your-go plan, and create our first agent and topic.We’ll then expand our agent. We’ll add message, question and condition nodes, add a topic management node, configure variables and closed list entities, and ask multiple questions with an Adaptive Card.Finally, we’ll look at adding knowledge sources, creating a Power Automate flow, and saving and publishing the agent to Teams and a demo website.There are five Practice Activities throughout the course, so you can be sure that you are learning.By the end of the course, you will feel confident about being able to create your own agents and configure the topics. You should then be able to implement your newfound knowledge into your own work, and create your own Copilot Studio agents.

ITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice ExamsITIL Foundation V5: 6 Difficult Practice Exams

Master the Certified Pega Decisioning Consultant '25 (PEGACPDC25V1) ExamPreparing for the PEGACPDC25V1 exam requires a clear understanding of exam objectives and consistent practice. This course provides high-quality practice tests designed to strengthen your knowledge and build real exam confidence.Whether you are starting your preparation or doing a final review before the Certified Pega Decisioning Consultant '25 exam, these realistic practice tests ensure an efficient study process.Core Exam Topics CoveredNext-Best-Action Concepts: 1:1 customer engagement principles and framework deployment.Actions Treatments: Defining, managing, and presenting targeted offers across web and outbound channels.Engagement Policies: Configuring specialized Eligibility, Applicability, and Suitability rules.Contact Policies Volume Constraints: Implementing suppression rules to prevent message fatigue and managing outbound volume limits.AI Arbitration: Prioritizing actions using propensity, business levers, and predictive/adaptive models.Channels Containers: Managing real-time containers, outbound email campaigns, and third-party distribution.Decision Strategies: Designing analytical strategy flows and customer credit/risk logic using the Strategy Designer.Business Agility: Executing change management workflows within Pega 1:1 Operations Manager, including Pega GenAI features. What is Included?Realistic Exam Simulations: Multiple-choice practice questions formatted like the actual assessment.Detailed Explanations: Comprehensive breakdowns for every question to reinforce learning