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All you need to know to begin the Servicenow Course 2026

Uday Academy

4.5833335(949 students)

Self-paced

All Levels

About this course

Are you ready to launch a career in one of the most in-demand IT platforms today? Whether you're aiming to become a Servicenow Developer, Tester, or Admin, this comprehensive course will guide you through every step of the process.In this course, you'll learn everything you need to know to kickstart your career as a Servicenow professional. From mastering the platform basics to understanding the responsibilities of each role, this course is designed to provide you with practical skills, industry insights, and a roadmap to success.What You'll Learn:Steps to Become a Servicenow Professional: A step-by-step guide to start and grow your career in ServiceNow.Skills Required to Learn Servicenow: Explore the technical and soft skills necessary to excel in different roles.Setting Up Your Servicenow Account and Instance: Learn how to create and manage your own Servicenow instances for practice and development.Roles and Responsibilities: Detailed insights into the roles and day-to-day tasks of Servicenow Developers, Testers, and Admins.Agile Methodology: Understand how Agile practices are applied within the Servicenow environment to deliver efficient results.ServiceNow Certifications: Learn about the certification paths that will validate your skills and boost your credibility.Interview Preparation: Get expert tips and strategies for Servicenow job interviews, with a focus on real-world scenarios.Aspiring Developers, Testers, and Admins: Whether you’re new to IT or looking to switch careers, this course is designed to give you a solid foundation in Servicenow.IT Professionals: Already in the IT field?

Expand your skill set by learning Servicenow and transitioning into a high-demand platform.Students and Graduates: Gain practical knowledge and industry insights that will prepare you for Servicenow certification exams and interviews.Why Learn Servicenow?ServiceNow is a leading cloud platform that automates IT Service Management (ITSM), driving digital transformation in organizations around the world. The demand for skilled Servicenow professionals is growing rapidly, making it one of the hottest career paths in IT. With this course, you'll learn the core skills needed to become proficient in Servicenow, helping you:Land high-paying jobs in IT.Stay competitive in a fast-evolving tech landscape.Earn globally recognized certifications that boost your professional credibility.

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Level: All Levels

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Duration: Self-paced

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Instructor: Uday Academy

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Build Production-Ready AI Applications with LangChain, OpenAI, FAISS & ChromaDBMaster Retrieval-Augmented Generation (RAG) and Build Real AI Systems from ScratchAre you ready to master one of the most in-demand skills in Generative AI engineering?Welcome to The Complete LangChain & RAG Developer Course 2026 — a hands-on, beginner-friendly course designed to help you build powerful AI applications using LangChain, OpenAI, FAISS, ChromaDB, and Retrieval-Augmented Generation (RAG).In this course, you’ll learn how modern AI systems like ChatGPT-style assistants retrieve real-time knowledge from PDFs, documents, databases, and custom data sources to generate accurate, context-aware responses.This is not just theory.You will build a complete end-to-end RAG application using real-world workflows and industry-standard tools used by modern AI engineers.What You’ll LearnBy the end of this course, you will be able to:Understand how Retrieval-Augmented Generation (RAG) worksBuild AI applications powered by LangChainProcess PDFs, CSVs, and DOCX files for AI pipelinesMaster text chunking strategies for better retrieval accuracyGenerate embeddings and perform semantic similarity searchWork with vector databases like FAISS and ChromaDBBuild scalable LangChain runnable pipelinesCreate production-ready AI retrieval systemsUse prompt engineering for better LLM responsesStructure outputs using PydanticBuild a complete Capstone RAG Project from scratchWhy Learn RAG & LangChain?Traditional Large Language Models (LLMs) are powerful — but they suffer from:HallucinationsOutdated knowledgeNo access to private dataLimited context windowsRetrieval-Augmented Generation (RAG) solves these problems by combining:Large Language Models (LLMs)Semantic SearchEmbeddingsVector DatabasesIntelligent Retrieval PipelinesThis technology powers:AI AssistantsEnterprise ChatbotsKnowledge BasesDocument Q&A SystemsAI Search EnginesCustomer Support AIInternal Company GPTsRAG Engineers and LangChain Developers are becoming some of the most sought-after professionals in AI today.What Makes This Course Different?Unlike many tutorials that only cover isolated concepts, this course focuses on:Practical implementationReal-world workflowsBeginner-friendly explanationsStep-by-step codingIndustry-standard architectureProduction-oriented developmentYou won’t just learn concepts.You’ll build real AI systems.Course Curriculum OverviewModule 1 — RAG Foundations & LangChain KickstartLearn the fundamentals of Retrieval-Augmented Generation and build your first AI-powered application using LangChain and OpenAI.Module 2 — Document Loading & Multi-Format Data IngestionTeach your AI to process PDFs, CSV files, and DOCX documents using practical LangChain loaders.Module 3 — Smart Text Chunking & Retrieval OptimizationMaster chunking strategies that dramatically improve retrieval quality and response accuracy.Module 4 — Embeddings, Semantic Search & Vector DatabasesUnderstand embeddings, vector search, FAISS, ChromaDB, and semantic similarity in depth.Module 5 — LangChain Runnables & AI Pipeline CompositionBuild modular, scalable AI workflows using LangChain runnables and chaining techniques.Module 6 — Capstone Project: Build a Complete End-to-End RAG ApplicationBring everything together by building a production-ready RAG pipeline from scratch.You will:Load documentsChunk text intelligentlyGenerate embeddingsBuild a retrieverCreate runnable chainsEngineer promptsParse structured outputsTest and validate the final AI systemTools & Technologies CoveredLangChainOpenAI APIPythonFAISSChromaDBEmbeddingsVector DatabasesSemantic SearchPydanticRunnable ChainsPrompt EngineeringRetrieval-Augmented Generation (RAG)Who This Course Is ForThis course is perfect for:Python DevelopersAI EngineersMachine Learning EnthusiastsLangChain BeginnersGenerative AI DevelopersSoftware EngineersStudents entering the AI industryAnyone wanting to build AI-powered applicationsPrerequisitesBasic Python knowledge is recommended.No prior experience with the following is required:LangChainVector DatabasesRAGEmbeddingsSemantic SearchEverything is taught step-by-step in a beginner-friendly manner.Start Building Real AI Applications TodayIf you want to become a modern AI developer and master one of the most important technologies in Generative AI, this course is for you.Join now and start building production-ready RAG applications with LangChain, OpenAI, FAISS, and ChromaDB

Mastering Text Processing with Grep, Sed and Awk

Martijn Vissers

Unlock the real power of the Linux command line with the three most essential text-processing tools every developer, sysadmin, and DevOps engineer needs: grep, sed, and awk.Quickly, you’ll go from basic pattern matching to building small pipelines that parse logs, clean configuration files, extract data from CSVs, generate reports, and automate tedious CLI tasks. All without leaving the terminal.Why this course is extremely useful for general Linux usersWhether you’re a developer debugging application logs, a sysadmin troubleshooting servers, a DevOps engineer analysing CI/CD output, or just a power user who spends time in the shell, these three commands appear in almost every serious pipeline you’ll ever write.grep finds what you’re looking for instantly (and filters noise)sed transforms and cleans text on the fly (search & replace, delete lines, insert headers)awk turns messy output into structured data (field extraction, calculations, grouping, custom reports)Mastering them increases your productivity because you stop reaching for editors or GUIs for tasks that should take seconds. You’ll also discover how these skills transfer directly into Vim (via ex commands), showing you that these skills transfer outside of the tools themselves.What you’ll learnGrep, fast filtering with basic flags, glob patterns, extended regexSed, substitutions, deleting/inserting lines, in-place editing, ranges, multi-command scriptsAwk, field-based extraction, conditionals, math & averages, arrays for grouping & counting, custom functions, BEGIN/END blocks, multi-line “programming language” scriptsEx, quick history lesson showing why sed/awk knowledge makes you instantly better at Vim’s : commandsAll lectures use real-world examples on server logs and CSV data, demonstrated live in a split-window setup (working terminal + slides).Course structure IntroductionGrep: Basics + Globbing & RegexSed: Basic substitutions → Deleting & inserting → Advanced ranges, in-place & pipelinesAwk: Fundamentals → Conditionals, math & custom output → Awk as a programming languageEx: The line editor that powers Vim (why your new skills transfer)Final wrap-upAbout the TeacherAll my terminal courses are produced in the same tmux + slides style you’ll see here — short, practical, no-fluff lessons designed for busy Linux users who want to get better at the CLI today instead of tomorrow. I work in the terminal every day and love helping people move faster without ever leaving their shell.If you already enjoyed my Vim or Tmux courses with me, this course is the natural next step to turn your terminal into a real data-processing workflow.Enroll now and start writing smarter one-liners by the end of today.

Complete YAML Course for Beginners

Udemy Instructor

Welcome to this complete YAML course for beginners!If you’ve ever worked with tools like Ansible, Docker Compose, or Kubernetes, you’ve probably seen YAML files everywhere — but maybe they looked confusing or full of strange symbols. Don’t worry! This course will help you go from “What is YAML?” to “I can write and understand YAML like a pro!” — all in simple, clear English, made for non-native speakers.Let’s start with a bit of history. YAML stands for “YAML Ain’t Markup Language.” It was created in the early 2000s as a human-friendly alternative to XML and JSON. The idea was to make configuration files easy to read, write, and understand, even for people who aren’t programmers. Today, YAML is used everywhere — from Kubernetes manifests and Ansible playbooks to CI/CD pipelines and cloud infrastructure files. Knowing YAML is an essential skill for DevOps engineers, system administrators, and developers.In this course, you’ll begin by learning what YAML is, how it works, and why it’s used so widely in automation and configuration management. You’ll write your first YAML file, understand the syntax rules, and even parse YAML with Python to see how it works behind the scenes.Next, we’ll cover the basic YAML concepts — things like scalars, strings, multi-line text, comments, timestamps, and tags. You’ll learn to format your YAML correctly and make it more readable.Then, we’ll move on to advanced YAML features — such as sequences, ordered mappings, anchors, aliases, and multiple documents. These topics will help you handle complex configurations and reuse YAML efficiently.By the end of the course, you’ll not only understand YAML — you’ll be confident using it in real DevOps projects with tools like Docker, Ansible, Kubernetes, Terraform, and Jenkins.So, whether you’re a beginner learning YAML for the first time or a DevOps professional who wants to master it deeply, this course will give you all the knowledge you need — step by step, with clear examples and hands-on practice.Let’s get started and make YAML simple, powerful, and fun to learn!

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All you need to know to begin the Servicenow Course 2026

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