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Unlock the full potential of Splunk IT Service Intelligence (ITSI) with Splunk ITSI From the Ground Up, a comprehensive cradle-to-grave course designed to take you from beginner to expert in managing and optimizing IT operations through Splunk's powerful analytics and monitoring capabilities.Whether you're new to Splunk ITSI or seeking to deepen your knowledge, this course provides a hands-on, in-depth guide to every major feature of ITSI. You will learn how to create and configure Service Models, which enable you to monitor key services and their dependencies across your IT environment. We will dive into building and tuning Key Performance Indicators (KPIs) that provide real-time visibility into system health and performance. You’ll master advanced alerting and learn how to implement Notable Event Aggregation Policies to streamline incident management and response.Additionally, this course covers advanced topics like predictive analytics, anomaly detection, and glass table creation, equipping you with the tools needed to visualize your entire IT ecosystem in real-time. By the end of this course, you will be confident in using Splunk ITSI to improve service performance, prevent outages, and reduce incident resolution times.Whether you are an IT professional, system administrator, or cybersecurity analyst, Splunk ITSI From the Ground Up will empower you with the skills to optimize your IT operations and drive results. Join us and start building intelligent IT service insights today!

Most candidates approach technical interviews the wrong way: they try to memorize hundreds of LeetCode solutions, only to freeze when they encounter a slight variation in the interview room.I’m here to change that. In this course, we are diving deep into the actual interview questions used by Microsoft, Google, Airbnb, Uber, and Amazon. But this isn't just another 'coding walkthrough.' My goal is to teach you how to think like an engineer, not a database.Each session is conducted on a virtual whiteboard, where we strip away the syntax and focus entirely on the logic, data structures, and mental frameworks required to solve high-level problems. We will explore: * Pattern Recognition: How to identify the right approach within the first 2 minutes. * First Principles: Understanding the 'why' behind the algorithm, not just the 'how.' * Clear Communication: How to explain your thought process to an interviewer while you solve.By the end of this course, you won’t just have a list of solved problems; you’ll have the confidence to tackle any challenge the world’s top tech companies throw at you. You will develop the sharp analytical skills necessary to transform complex, ambiguous requirements into elegant, efficient, and scalable technical solutions effortlessly.Would you like me to adjust the tone of those final 21 words to be more aggressive or more encouraging?

This course is designed for QA Engineers, Automation Engineers, SDETs, and Developers who want to build AI-assisted, controlled, and production-ready agent systems for software testing and automation.Rather than focusing on isolated AI prompts, this course teaches Agentic AI principles—how to design AI systems composed of multiple agents that can reason, collaborate, and take actions within clearly defined boundaries.Step into the future of Artificial Intelligence with Agentic AI Fundamentals. This course teaches you how to design, build, and deploy autonomous AI agents using Python, AutoGen, multimodal models, and modern agent orchestration techniques. From async programming to browser automation with Playwright MCP, you’ll gain the hands-on skills to create scalable AI systems with human-in-the-loop controls, advanced state management, and multi-agent collaboration.Using Python and the AutoGen framework, you will learn how to build text-based and multimodal AI agents, orchestrate multi-agent workflows, manage agent state, and implement termination logic to keep AI behavior predictable and safe. You will also learn how to apply human-in-the-loop controls, enabling AI systems to request validation or approvals when needed.The course places strong emphasis on enterprise-safe AI design, showing how agents can interact with real systems using MCP tools and browser automation with Playwright MCP, while maintaining governance and control.Every module is hands-on and implementation-focused, designed to help you build scalable AI-assisted QA workflows, not experimental prototypes.What you will be able to do after this courseDesign AI-assisted QA agents using Agentic AI principles

Are you preparing for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam and want realistic practice before test day? This course provides 3 high-quality, full-length practice exams and 160 unique questions designed to closely match the real AWS certification experience.Each practice exam reflects the actual exam structure, difficulty level, and topic distribution of the MLA-C01 certification. The questions are carefully crafted to test not only your theoretical knowledge, but also your ability to apply machine learning concepts on AWS in real-world scenarios. You will face questions covering data preparation, feature engineering, model training, evaluation, deployment, monitoring, and security best practices.The exam has the following content domains and weightings:Content Domain 1: Data Preparation for Machine Learning (ML) (28% of scored content)Content Domain 2: ML Model Development (26% of scored content)Content Domain 3: Deployment and Orchestration of ML Workflows (22% of scored content)Content Domain 4: ML Solution Monitoring, Maintenance, and Security (24% of scored content)All questions come with detailed explanations that clarify why a specific answer is correct and why the other options are not. This approach helps you identify knowledge gaps, reinforce key concepts, and build confidence before scheduling the real exam.Whether you are a data engineer, machine learning practitioner, cloud engineer, or AWS professional, these practice tests will help you assess your readiness and improve your exam performance. You can take each test under timed conditions to simulate the real exam environment or review questions at your own pace for deeper understanding.By the end of this course, you will:Understand the MLA-C01 exam format and expectations

Pass the certification "C_TS422 SAP Certified Associate - SAP S/4HANA Cloud Private Edition, Production Planning and Manufacturing" by preparing with question sets!This certification validates that the candidate possesses the fundamental and core knowledge required of the SAP S/4HANA Manufacturing consultant profile. It proves that the candidate has an overall understanding and in‐depth technical skills to participate as a member of a project team. You will have 120 questions with answers and explanations. The question sets are seperated in following topics:Introduction to Supply Chain PlanningMaster Data for productionDemand ManagementMaterial Requirements PlanningProduction OrdersLean ManufacturingProcess OrdersCapacity PlanningAdvanced PlanningAfter working through the questions you will be able to...Upon successfully concluding this course, developers, consultants, and administrators will possess a solid understanding of SAP S/4HANA Production Planning and Manufacturing. The SAP C_TS422 certification is a crucial milestone for professionals aiming to advance their careers in the dynamic realm of SAP. With this certification, you can showcase your expertise in the latest SAP technologies and solutions, positioning yourself as a valuable asset in the industry. The certification attests that the individual has a comprehensive understanding of the subject matter and possesses advanced technical skills necessary to contribute effectively as a team member within a project.Exam Topics:Advanced Planning in SAP S/4HANA 12%Production Orders in SAP S/4HANA 12%Master Data in SAP S/4HANA 12%Material Requirements Planning in SAP S/4HANA 8% - 12%Lean Manufacturin

Get practical, job-ready AWS skills through short, beginner-friendly lessons paired with guided labs you can run in your own account. Each module introduces what the service is for, common use cases, and a straightforward lab to reinforce the concept.What you’ll learn and buildAWS EC2 + Lab: Launch and secure your first virtual server—the most common cloud compute resource.AWS S3 + Lab: Store and retrieve files at scale with durable, cost‑effective object storage.AWS VPC + Lab: Design a private, customizable network to isolate and protect your resources.AWS Lambda + Lab: Run code on demand without managing servers using event‑driven compute.AWS RDS + Lab: Set up a managed relational database with automated maintenance and backups.AWS DynamoDB + Lab: Create a fast, serverless NoSQL database for key‑value and document workloads.AWS IAM + Lab: Control access with users, roles, and policies based on least privilege.AWS CloudWatch + Lab: Monitor resources and apps with metrics, logs, dashboards, and alerts.AWS Auto Scaling/ELB + Lab: Distribute traffic and automatically scale for performance and resilience.AWS SNS/SQS + Lab: Decouple components with pub/sub notifications and reliable message queues.Who this course is forAbsolute beginners to cloud or AWSDevelopers, QA, data, and IT professionals moving to the cloudLearners preparing for foundational AWS knowledge (great prep before Cloud Practitioner or Solutions Architect – Associate)What you’ll take awayConfidence navigating the AWS Console and CLIThe ability to deploy, secure, monitor, and scale core AWS servicesA portfolio of completed labs showing real, hands‑on experienceBy the end, you won’t just recogn