Author: admin

Year of release : 2022
Manufacturer : Udemy
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com

Автор : And Pipi Rahayu Study Program
Duration : 11h
Type of material distributed : Video lesson
Language : En

Description : Please do not leave the distribution, I will not be able to maintain the distribution forever.
Share the freebie with other people, don’t leave the distribution.
Encourage other people to switch to roottracker.
Course in En. Added En subtitles using speech to text for Adobe Premier Pro.
Modern JavaScript is really a wide and moving target. You may have learned JavaScript five years ago and some of those techniques may be considered old by today’s standards, just as you may know JavaScript techniques from 20+ years ago that are still considered modern best practices. My intent is to take you on a guide through JavaScript’s various ins and outs to learn modern JavaScript as it’s known today.
In this course I will explain:
The Steps to Becoming a JavaScript Developer
the tools and the knowledge needed
JavaScript basics
What is JavaScript
Script loading strategies
Variables
Constants
Operators
Conditionals
Events
Strings
Functions
Strings and arrays
Interaction with HTML pages
Use JavaScript to interact with a form
Manage the events in input elements in a form with JavaScript
Use JavaScript to change the CSS style of HTML elements
The document Object
Troubleshooting JavaScript
JavaScript building blocks
Conditionals
Looping code
Functions
More on events
Event listeners
Event objects
Event properties and methods
JavaScript objects
Object properties and methods
Objects within objects
Set and modify object members
Create objects
JavaScript object prototypes
The prototype chain
Shadowing properties
Setting prototypes
Own properties of prototypes
Prototypes and inheritance
Object-oriented programming in JavaScript
Classes and instances
Inheritance
Encapsulation
OOP in JavaScript
Working with JSON data
Asynchronous JavaScript: traditional
Why Asynchronous JavaScript
Event handlers with Asynchronous JavaScript
Asynchronous JavaScript and Callbacks
Asynchronous JavaScript: modern
Promises
The fetch() API
Promise chaining
Handle errors with promises
Promise Terminologies
Combination of multiple promises
async and await
Workers
Client-side web APIs
What are APIs?
Common browser APIs and common third-party APIs
How do APIs work?
Document Object Model (DOM) APIs
APIs for fetching data from a server
Third party APIs
At the end we will see some applications to verify what we have learned in this course.

Content
Chapter 1-Introduction
Chapter 2-Steps to Becoming a JavaScript Developer
Chapter 3-JavaScript Basics
Chapter 4-Strings and Arrays
Chapter 5-Interaction with HTML Pages
Chapter 6-Troubleshooting JavaScript
Chapter 7-JavaScript building Blocks
Chapter 8-More on events
Chapter 9-JavaScript Objects
Chapter 10-JavaScript Object Prototypes
Chapter 11-Object oriented Programming in JavaScript
Chapter 12-Working with JSON data
Chapter 13-Asynchronous JavaScript traditional
Chapter 14-Asynchronous JavaScript modern
Chapter 15-Client side Web APIs
Chapter 16-Applications
Example files : present
Video format : MP4
Video : H265 1280×720 16:9 30k/sec 300 kbit/sec
Audio : AAC 48 kHz 128 kbps 2 channels

Modern JavaScript and Software Front-End Development (2 GB)
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https://rapidgator.net/file/389ad67c8160edd64e0d934eb4ac8bba/Modern.JavaScript.and.Software.Front-End.Development.part1.rar
https://rapidgator.net/file/3fd4783b59fbc9bc0978c047e9a5d2ab/Modern.JavaScript.and.Software.Front-End.Development.part2.rar

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Release year : January 2025
Manufacturer : Published by Pearson Via O’Reilly Learning
Author : Sinan Ozdemir
Duration : 5h 37m
Type of material given : Video lesson
Language : En + subtitles
Description:
Get started with automated AI agents
Overview
Modern Automated AI Agents introduces you to the concept of automated agents. It then helps you build a solid understanding of how to design, build, and optimize AI agents to tackle real-world challenges.
About the Instructor
Sinan Ozdemir is the founder and CTO of LoopGenius, where he uses state-of-the-art AI to help people create and run their businesses. Sinan is a former lecturer of Data Science at Johns Hopkins University and the author of multiple textbooks and videos on data science and machine learning. Additionally, he is the founder of the recently acquired Kylie.ai, an enterprise-grade conversational AI platform with RPA capabilities. He holds a master’s degree in Pure Mathematics from Johns Hopkins University and is based in San Francisco, California.
Learn How To
Build & use AI agents
Evaluate AI agent frameworks
Start to use CrewAI
Design multi-step workflows with LangGraph
Use large language models (LLMs)
Integrate existing and custom tools
Use thought, action, observation, and response components
Test and evaluate agents, their responses, backstories, definitions, and rules
Add planning and reflection to agents to bolster performance
Who Should Take This Course
Developers, data scientists, and engineers who are interested in building intelligent, autonomous AI agents capable of solving complex problems and adapting to dynamic environments
Course Requirements
Python 3 proficiency with some experience working in interactive Python environments including Notebooks (Jupyter/Google Colab/Kaggle Kernels)
Comfortable using the Pandas library and either Tensorflow or PyTorch
Understanding of ML/deep learning fundamentals including train/test splits, loss/cost functions, and gradient descent
Content
Introduction
Lesson 1 Introduction to AI Agents
Lesson 2 Under the Hood of AI Agents
Lesson 3 Building an AI Agent
Lesson 4 Testing and Evaluating Agents
Lesson 5 Expanding on ReAct with Planning and Reflection
Lesson 6 Advanced Applications and Future Directions
Summary
Example files : no
Format Video : mp4
Video : AVC, 1280 x 720, 16: 9, 30.000 FPS, 3,000 KB/S (0.017 Bit/Pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR

Modern Automated AI Agents Building Agentic AI to Perform Complex Tasks (1.7 GB)

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https://rapidgator.net/file/78d527ac555c831398bfd683ee33e989/Modern.Automated.AI.Agents.Building.Agentic.AI.to.Perform.Complex.Tasks.rar

Last updated 7/2024 Created by Manifold AI Learning ® MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 246 Lectures ( 39h 42m ) | Size: 13.8 GB​

What you’ll learn:
Develop a solid foundation in Python, tailored for MLOps applications.
Streamline Machine Learning processes using Python’s powerful capabilities.
Leverage Python for effective data manipulation and analysis in Data Science.
Understand how Python enhances the entire data science lifecycle.
Master version control using Git for collaborative development.
Learn to manage and track changes efficiently within MLOps projects.
Dive into the art of packaging Machine Learning models for easy deployment.
Ensure models are reproducible and deployable in diverse environments.
Effectively manage and track Machine Learning experiments using MLflow.
Utilize MLflow for enhanced experiment tracking and management.
Acquire essential skills in YAML for MLOps configuration and deployment.
Gain practical experience in writing and interpreting YAML files.
Explore Docker and its role in containerizing Machine Learning applications.
Understand the advantages of containerization for efficient MLOps.
Develop Machine Learning applications with FastAPI for efficient and scalable deployments.
Explore Streamlit and Flask for creating interactive web applications.
Implement Continuous Integration and Continuous Deployment pipelines for MLOps.
Automate development, testing, and deployment of ML models.
Gain a solid understanding of the Linux operating system.
Explore how Linux is essential for both DevOps and Data Scientists in MLOps.
Dive into Jenkins, an open-source automation server.
Learn to set up and configure Jenkins for automating MLOps workflows.
Develop insights into effective monitoring and debugging strategies for MLOps.
Utilize tools and techniques to identify and address issues in ML systems.
Set up continuous monitoring for MLOps using Prometheus and Grafana
Enhance observability in Machine Learning applications.
Extend Docker skills by mastering Docker Compose.
Learn to deploy multi-container applications seamlessly.
Explore tools and strategies for ongoing performance monitoring in MLOps.
Proactively address issues in production ML systems.
Utilize WhyLogs for efficient monitoring and logging of ML data.
Enhance the observability and traceability of ML systems.
Understand crucial steps for maintaining and updating ML models in a production environment.
Implement best practices for ensuring the long-term success of deployed ML systems.

Requirements:
Familiarity with programming concepts is preferred, but we cover in our course as well
Some knowledge of data manipulation and analysis will be beneficial.
Basic understanding of version control concepts, preferably with Git – will be beneficial
Enthusiasm for the intersection of Machine Learning and DevOps practices.
Participants should have access to a computer with a stable internet connection for viewing video content and engaging in practical exercises.

Description:
Welcome to our extensive MLOps Bootcamp (AI Ops Bootcamp), a transformative learning journey designed to equip you with the skills and knowledge essential for success in the dynamic field of Machine Learning Operations (MLOps). This comprehensive program covers a diverse range of topics, from Python and Data Science fundamentals to advanced Machine Learning workflows, Git essentials, Docker for Machine Learning, CI/CD pipelines, and beyond.Curriculum Overview:1. Python for MLOpsive into the fundamentals of Python tailored specifically for MLOps.Explore Python’s role in streamlining and enhancing Machine Learning processes.Develop proficiency in leveraging Python for effective MLOps practices.2. Python for Data Science:Uncover the power of Python in the context of Data Science.Learn essential data manipulation and analysis techniques using Python.Understand how Python enhances the entire data science lifecycle.3. Git and GitHub Fundamentals:Master the essentials of version control with Git.Understand how GitHub facilitates collaborative development in MLOps.Learn to manage and track changes effectively within MLOps projects.4. Packaging the ML Modelselve into the art of packaging Machine Learning models.Explore different packaging techniques and their implications.Ensure your ML models are easily deployable and reproducible.5. MLflow – Manage ML Experiments:Learn to effectively manage and track Machine Learning experiments.Understand the features and benefits of MLflow for experiment tracking and management.Implement MLflow in your MLOps projects for enhanced experimentation.6. Crash Course on YAML:Acquire a solid foundation in YAML, a key configuration language.Learn how YAML is used in MLOps for configuration and deployment.Gain practical skills in writing and interpreting YAML files.7. Docker for Machine Learning:Explore Docker and its role in containerizing Machine Learning applications.Understand the advantages of containerization for MLOps.Learn to build and deploy Docker containers for Machine Learning projects.8. Build MLApps using FastAPI: Dive into FastAPI, a modern, fast web framework for building APIs.Learn to develop ML applications using FastAPI for efficient and scalable deployments. Implement best practices for building robust MLApps.9. Build MLApps using Streamlit: Explore Streamlit, a powerful framework for creating interactive web applications. Develop hands-on experience in building MLApps with Streamlit. Understand how Streamlit enhances the user interface for Machine Learning applications.10. Build MLApps using Flask:Gain proficiency in Flask, a popular web framework for Python. Learn to build and deploy Machine Learning applications using Flask. Understand the integration of Flask with MLOps workflows.11. CI/CD for Machine Learning: Explore Continuous Integration and Continuous Deployment (CI/CD) pipelines in the context of MLOps. Implement automation to streamline the development, testing, and deployment of ML models. Learn to build robust CI/CD workflows for Machine Learning projects.12. Linux Operating System for DevOps and Data Scientists: Understand the fundamentals of the Linux operating system. Explore how Linux is essential for both DevOps and Data Scientists in MLOps. Gain practical skills in working with Linux for MLOps tasks.13. Working with Jenkins: Dive into Jenkins, an open-source automation server.Learn to set up and configure Jenkins for automating MLOps workflows. Understand how Jenkins enhances the efficiency of continuous integration and deployment in MLOps.14. Monitoring and Debugging of ML System: Gain insights into effective monitoring and debugging strategies for MLOps. Learn tools and techniques to identify and address issues in Machine Learning systems.Implement best practices for maintaining the health and performance of ML systems.15. Continuous Monitoring with Prometheus: Explore Prometheus, an open-source monitoring and alerting toolkit. Learn to set up continuous monitoring for MLOps using Prometheus. Understand how Prometheus enhances observability in Machine Learning applications.16. Deploy Applications with Docker Compose: Extend your Docker skills by mastering Docker Compose. Learn to deploy multi-container applications seamlessly using Docker Compose.Understand how Docker Compose enhances the deployment of complex MLOps architectures.17. Continuous Monitoring of Machine Learning Application: Dive into continuous monitoring practices specifically tailored for Machine Learning applications. Explore tools and strategies to ensure ongoing performance monitoring in MLOps.Implement solutions for proactively addressing issues in production ML systems.18. Monitor the ML System with WhyLogs: Explore WhyLogs, a data logging library for Machine Learning.Learn how WhyLogs facilitates efficient monitoring and logging of ML data.Implement WhyLogs to enhance the observability and traceability of your ML system.19. Post Productionizing ML Models: Understand the crucial steps involved in post-productionizing Machine Learning models. Explore strategies for maintaining and updating ML models in a production environment. Gain insights into best practices for ensuring the long-term success of deployed ML systems.Conclusion: Embark on this comprehensive MLOps Bootcamp to transform your skills and elevate your proficiency in the dynamic and ever-evolving field of Machine Learning Operations. Whether you are a seasoned professional or just starting your journey in MLOps, this program provides the knowledge, tools, and practical experience needed to succeed in implementing robust and efficient Machine Learning workflows. Join us and become a master of MLOps, ready to tackle the challenges of the modern AI landscape with confidence and expertise.

Who this course is for:
Data scientists seeking to extend their skills into the operational aspects of deploying and maintaining machine learning models.
Software developers interested in mastering the tools and practices for integrating machine learning into real-world applications.
DevOps professionals aiming to specialize in MLOps and enhance their proficiency in deploying and managing machine learning systems.
Data engineers looking to broaden their skill set by incorporating MLOps practices into data pipelines.
IT professionals wanting to understand the integration of machine learning models within operational workflows.
Individuals passionate about the latest advancements in technology and eager to explore the practical aspects of MLOps.
Entrepreneurs and business professionals seeking to understand how MLOps can drive innovation and competitive advantage in their organizations.
Students and researchers in the fields of computer science, data science, and related disciplines looking to expand their knowledge in MLOps.
Individuals transitioning into roles that involve machine learning operations and deployment.
Enthusiasts who are keen to explore the convergence of machine learning and operations, regardless of their current role or background.

Welcome to – Check it Every Days
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Microsoft Word Copilot
Duration: 52m | .MP4 1280×720 30 fps(r) | AAC, 48000 Hz, 2ch | 400.77 MB
Genre: eLearning | Language: English​

Writing in Word can be time-consuming without the right tools. This course will teach you how to use Copilot in Microsoft Word to turn ideas into clear drafts, refine your writing, and improve accessibility while staying in control.

More Info:
Microsoft Word Copilot

Last updated 6/2025 MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz Language: English | Size: 7.58 GB | Duration: 17h 0m​

Master Power BI Desktop for data prep, data analysis, data visualization & dashboard design w/ top Power BI instructors!

What you’ll learn
Build professional-quality business intelligence reports from the ground up
Blend and transform raw data into beautiful interactive visuals & dashboards
Design and implement the same tools used by professional data analysts and data scientists
Showcase your skills with two full-scale course projects (with step-by-step solutions)
Explore powerful artificial intelligence tools and advanced data analysis & visualization techniques
Learn from a #1 best-selling instructor and professional Power BI developer

Requirements
Microsoft Power BI Desktop (free download)
This course is designed for PC/Windows users (currently not available for Mac)
Experience with Excel Power Query, Power Pivot & DAX is a plus, but not required

Description
Welcome to the #1 best-selling Power BI Desktop course!If you’re a data professional or aspiring analyst looking to learn the top business intelligence platform on the market, you’ve come to the right place. With more than 250,000 perfect 5-star reviews from students around the world, this is the course you’ve been looking for.Throughout the course, you’ll learn from top instructors on the Maven Analytics team and put your skills to the test with hands-on projects and unique, real-world assignments.THE COURSE PROJECT:You’ll play the role of Business Intelligence Analyst for AdventureWorks Cycles, a fictional manufacturing company. Your role is to transform raw data into professional-quality reports and dashboards to track KPIs, compare regional performance, analyze product-level trends, and identify high-value customers.But don’t worry, we’ll be here to guide you along every step of the way, with intuitive, crystal clear explanations and helpful pro tips to take you from zero to expert – guaranteed.This course is designed to follow the key stages of the business intelligence workflow (data prep, data modeling, exploratory data analysis, data visualization & dashboard design) and simulate real-world tasks that data professionals encounter every day on the job:STAGE 1: Connecting & Shaping DataIn this stage we’ll focus on building automated workflows to extract, clean, transform, and load our project data using Power Query, and explore common data connectors, storage modes, profiling tools, table transformations, and moreata connectorsStorage & import modesQuery editing toolsTable transformationsConnecting to a databaseExtracting data from the webQA & Profiling toolsText, numerical, date & time toolsRolling calendarsIndex & conditional columnsGrouping & aggregatingPivoting & unpivotingMerging & appending queriesData source parametersImporting Excel modelsSTAGE 2: Creating a Relational Data ModelIn stage 2 we’ll review data modeling best practices, introduce topics like cardinality, normalization, filter flow and star schemas, and begin to build our AdventureWorks data model from the ground upatabase normalizationFact & dimension tablesPrimary & foreign keysStar & snowflake schemasActive & inactive relationshipsRelationship cardinalityFilter context & flowBi-directional filtersModel layoutsData formats & categoriesHierarchiesSTAGE 3: Adding Calculated Fields with DAXIn stage 3 we’ll introduce data analysis expressions (DAX). We’ll create calculated columns and measures, explore topics like row and filter context, and practice applying powerful tools like filter functions, iterators, and time intelligence patternsAX vs. MCalculated columns & measuresImplicit, explicit & quick measuresMeasure calculation stepsDAX syntax & operatorsMath & stats functionsConditional & logical functionsThe SWITCH functionText functionsDate & time functionsThe RELATED functionCALCULATE, FILTER & ALLIterator (X) functionsTime intelligence patternsSTAGE 4: Visualizing Data with ReportsStage 4 is about bringing our data to LIFE with reports and dashboards. We’ll review data viz best practices, building and format basic charts, and add interactivity with bookmarks, slicer panels, parameters, tooltips, report navigation, and moreata viz best practicesDashboard design frameworkCards & KPIsLine charts, trend lines & forecastsOn-object formattingTable & matrix visualsConditional formattingTop N filteringMap visualsDrill up, drill down & drillthroughReport slicers & interactionsBookmarks & page navigationNumeric & fields parametersCustom tooltipsImporting custom visualsManaging & viewing roles (RLS)Mobile layoutsPublishing to Power BI ServiceWe’ll also introduce brand new features as they are released, powerful artificial Intelligence tools like decomposition trees, key influencers, smart narratives and natural language Q&A, and performance optimization techniques to keep your reports running smoothly at scale.Ready to get started? Join today and get immediate, lifetime access to:17 hours of high-quality video200+ page Power BI ebook25 homework assignments &? solutionsDownloadable course project filesExpert Q&A support forum30-day money-back guaranteeIf youâre looking for the ONE course to help you build job-ready Power BI skills, youâve come to the right place.Happy learning!-Chris & Aaron (Maven Analytics)See why this is one of the TOP-RATED Power BI courses in the world:âI believe this is the best Power BI course out there. I spent £1400 to attend a 3-day Power BI crash course, and have to confess itâs nothing compared to the knowledge, skills, expertise and understanding derived from this course. I am forever grateful to Chris and the Maven Analytics team for doing such amazing work and to for making this available.â-Isaac Mensah"Resources are awesome. Presenter is brilliant. I found this course more useful than the official Power BI course from Microsoft. Things are easy to follow, and presentations are high quality."-Jacobus M."Chris is a skilled communicator and does a great job of explaining a complex tool like Microsoft Power BI. His ‘pro-tips’ are great for new user productivity and gaining a sense of the big picture, and I value his best practices on building and managing Power BI queries and reports. I’m feeling much more confident to dig in and use Power BI on my own projects!"-Bill JerrowâSimply put, this course is AMAZING! The instructor literally takes you step-by-step from knowing nothing about Power BI into nearly an expert! I have had experience working with Power BI even in a corporate setting in the past, and I was still blown away by the level of granularity Chris was able to casually explain in a way that made sense. The hands-on exercises are THE perfect way to reinforce the concepts you learn throughout the course and connect theory to application. Can’t speak enough to how great this course is, I will definitely be coming back to it as a reference guide in my work and would recommend it to anyone looking to learn Power BI!â-Ikenna EgbosimbaâI’ve been in university classrooms for much of my life and Chris is a university level instructor.â-Allan SearlLooking for the full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, Tableau, Alteryx & Python!

Anyone looking for a hands-on, project-based introduction to Microsoft Power BI Desktop,Data analysts and Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills,Aspiring data professionals looking to master the #1 business intelligence tool on the market,Students who want a comprehensive, engaging, and highly interactive approach to training,Anyone looking to pursue a career in data analysis, analytics or business intelligence

Microsoft Outlook and Microsoft Teams with Microsoft Copilot
Published 1/2026
Duration: 3h 2m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 1.73 GB
Genre: eLearning | Language: English​

2 in 1 Bundle: Learn to Use Microsoft Outlook and Microsoft Teams with Power of Microsoft Copilot AI

What you’ll learn

• How to set up and customize Microsoft Outlook and Teams from scratch
• How to compose, reply, and format professional emails with AI-powered Copilot
• How to manage inbox clutter using smart filters, folders, and rules
• How to integrate Outlook Calendar for meetings, reminders, and scheduling
• How to use Copilot to summarize emails and generate quick responses
• How to set up and manage Microsoft Teams workspaces, channels, and chats
• How to conduct video meetings, share screens, and manage collaboration in Teams
• How to apply Copilot for summarizing meetings and creating follow-up notes
• How to optimize privacy, notifications, and appearance settings for productivity
• Practical real-world workflows combining Outlook, Teams, and Copilot

Requirements

• Basic computer literacy (typing, navigating Windows or macOS)
• Access to Microsoft 365 (Outlook and Teams apps with Copilot preferred)
• Internet connection for cloud and meeting functions
• Willingness to learn new digital and AI tools for workplace productivity

Description
Master the modern workplace with Microsoft Outlook, Microsoft Teams, and Microsoft Copilot – the ultimate productivity trio that empowers professionals to communicate, collaborate, and automate like never before.

This hands-on, step-by-step course is designed to take you from a basic user to a confident professional who can effortlessly manage emails, meetings, chats, and projects – all enhanced by the power of AI using Microsoft Copilot.

Whether you’re managing a busy inbox, organizing your calendar, collaborating across departments, or leading remote meetings, this course gives you the exact tools, strategies, and real-world techniques to streamline your workflow and stay ahead in a hybrid work environment.

You’ll start with Microsoft Outlook, where you’ll learn how to compose, format, and organize emails professionally, manage your inbox with smart filtering, automate repetitive tasks, and use Copilot to summarize long email threads or draft perfect responses in seconds. You’ll also master the Outlook calendar for effective scheduling, learn to set up contacts, and customize views that match your personal workflow style.

Then, you’ll transition into Microsoft Teams – the hub of modern collaboration. You’ll learn how to set up Teams from scratch, create and manage channels, communicate via chat and video calls, share screens, schedule meetings, and collaborate on files in real time. You’ll also explore how to use Copilot inside Teams to summarize meetings, extract action points, and generate insights that make your meetings more productive and actionable.

But this isn’t just about learning tools – it’s about transformation. By the end of this course, you’ll no longer feel overwhelmed by cluttered inboxes or chaotic meetings. Instead, you’ll confidently manage communications, automate routine tasks, and lead your team with clarity and efficiency – powered by the latest AI capabilities from Microsoft Copilot.

This course is packed with demonstrations, best practices, and real-world examples so you can apply what you learn immediately. Each lecture builds on the last, ensuring you gain not just knowledge but practical skills you can use every day in your job.

If you’ve ever felt like your productivity tools are running you instead of helping you, this course will change that forever. Join today and learn how to make Microsoft Outlook, Teams, and Copilot work for you.

Who this course is for:

• Office professionals looking to improve communication and productivity
• Team leaders and managers seeking to streamline collaboration
• Virtual assistants, administrators, and coordinators managing meetings and emails
• Freelancers and entrepreneurs managing client communication and projects
• Anyone curious about using Microsoft Copilot to enhance daily workflow efficiency

More Info

Microsoft Office: Excel, Word, Powerpoint And Teams For Pro
Published 8/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.38 GB | Duration: 4h 1m​

Become a Microsoft Office Power User: Excel, Word, PowerPoint and Teams for Pro-Level Mastery and Workplace Excellence.

What you’ll learn

Introduction to Excel, Word, PowerPoint & Teams

Understanding the Ribbon, Tabs, and Quick Access Toolbar

Sorting and Filtering Data

Advanced Formulas and Functions (VLOOKUP, HLOOKUP, IF, SUMIF, etc.)

Conditional Formatting

Data Validation

Power Query and Power Pivot

Advanced Data Analysis Tools

Basic Slide Transitions and Animations

Working with SmartArt and Charts

Advanced Design Techniques

Advanced Slide Show Options

Basic Page Layout and Design

Working with Tables and Charts

Advanced Formatting Techniques

Advanced Document Design and Layout

Integrating Word with Other Applications

Mail Merge: Letters, Labels, and Emails

Requirements

No Prior Experience Required

Description

Unlock the full potential of Microsoft Office and elevate your professional skills with our comprehensive course, "Microsoft Office: Excel, Word, PowerPoint, and Teams for Pro." Whether you’re a seasoned professional or looking to enhance your productivity, this course is designed to make you proficient in the most essential Microsoft Office applications.What You Will Learn:Excel for Professionals: Master Excel’s advanced features, including data analysis, pivot tables, formulas, and macros. Learn how to create dynamic dashboards, automate tasks, and make data-driven decisions with confidence.Word for Professionals: Enhance your document creation skills by mastering Word’s advanced tools for formatting, styles, templates, and collaboration. Learn how to create professional reports, proposals, and documents that stand out.PowerPoint for Professionals: Design stunning, professional presentations that captivate and persuade. Learn advanced PowerPoint techniques including animations, multimedia integration, and effective storytelling.Teams for Professionals: Streamline communication and collaboration in your organization with Microsoft Teams. Learn how to manage projects, organize meetings, share files, and collaborate in real-time with your team.Why Choose This Course?All-in-One Mastery: Gain expertise in four of the most widely used Microsoft Office applications in one comprehensive course.Real-World Applications: Learn through practical examples, case studies, and hands-on projects that mirror real-world business scenarios.Expert Instruction: Benefit from the guidance of an experienced instructor with deep knowledge of Microsoft Office applications.Lifetime Access: Enjoy lifetime access to course materials, enabling you to learn at your own pace and revisit key concepts whenever you need.Certification Preparation: Prepare for Microsoft Office Specialist (MOS) certifications with targeted lessons and practice exercises.Who Should Enroll?Business Professionals: Streamline your workflow and enhance productivity in your daily tasks.Students: Develop the essential skills needed for academic success and future career opportunities.Managers and Team Leaders: Improve team collaboration and communication using Microsoft Teams.Anyone: Whether you’re new to Microsoft Office or seeking to advance your skills, this course is tailored for all levels.Take the next step in your professional development by enrolling in "Microsoft Office: Excel, Word, PowerPoint, and Teams for Pro." This course will equip you with the skills and knowledge needed to excel in your career and achieve your goals.By completing this course, you will gain the expertise needed to confidently use Microsoft Office applications in any professional setting. Join us and transform your productivity and efficiency with the power of Microsoft Office!

Overview

Section 1: Microsoft Excel

Lecture 1 Introduction to Excel

Lecture 2 Creating and Saving Workbooks

Lecture 3 Understanding the Ribbon, Tabs, and Quick Access Toolbar

Lecture 4 Entering and Editing Data

Lecture 5 Basic Formulas and Functions

Lecture 6 Formatting Cells, Rows, and Columns

Lecture 7 Basic Data Visualization: Charts and Graphs

Lecture 8 Working with Tables and Ranges

Lecture 9 Sorting and Filtering Data

Lecture 10 Advanced Formulas and Functions (VLOOKUP, HLOOKUP, IF, SUMIF, etc.)

Section 2: Microsoft Word

Lecture 11 Introduction to Word

Lecture 12 Creating and Saving Documents

Lecture 13 Understanding the Ribbon, Tabs, and Quick Access Toolbar

Lecture 14 Formatting Text and Paragraphs

Lecture 15 Basic Page Layout and Design

Lecture 16 Using Templates and Styles

Lecture 17 Working with Tables and Charts

Lecture 18 Inserting Graphics: Pictures, Shapes, and SmartArt

Lecture 19 Advanced Formatting Techniques

Lecture 20 Using and Customizing Headers and Footers

Section 3: Microsoft PowerPoint

Lecture 21 Introduction to PowerPoint

Lecture 22 Creating and Saving Presentations

Lecture 23 Understanding the Ribbon, Tabs, and Quick Access Toolbar

Lecture 24 Slide Layouts and Themes

Lecture 25 Adding and Formatting Text, Images, and Shapes

Lecture 26 Basic Slide Transitions and Animations

Lecture 27 Working with SmartArt and Charts

Lecture 28 Inserting Multimedia: Audio and Video

Lecture 29 Advanced Slide Transitions and Animations

Lecture 30 Using Master Slides for Consistent Design

Anyone Looking to Improve their Productivity by Mastering MS Office

Microsoft Excel Advanced Infographics MasterClass Volume 2

File INFO:
Name: 9 Designer Circle Chart
Format:mp4
Size: 2.15 GB
Duration:00:17:44
Language:English Click to expand…

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https://rapidgator.net/file/29ae3c018132ab4cb14f6376cc677da4/Microsoft.Excel.Advanced.Infographics.MasterClass.Volume.2.part1.rar
https://rapidgator.net/file/3a224c306e54d11f847e56bf36b811a2/Microsoft.Excel.Advanced.Infographics.MasterClass.Volume.2.part2.rar

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Microsoft Defender for Endpoint course with hands on sims
Published 6/2025
Duration: 7h 44m | .MP4 1920×1080 30 fps(r) | AAC, 44100 Hz, 2ch | 3.84 GB
Genre: eLearning | Language: English​

Learn how to expertly administer Microsoft Defender for Endpoint with hands on experience!

What you’ll learn

• Learn the concepts and perform hands on activities needed to master Microsoft Defender for Endpoint
• Gain a tremendous amount of knowledge involving Microsoft Defender for Endpoint
• Learn using hands on simulations on how Microsoft Defender for Endpoint is administered!
• Learn how to set up your own test lab for practicing the concepts!

Requirements
– Willingness to put in the time and practice the steps shown in the course

Description
We really hope you’ll agree, this training is way more than the average course on !

Have access to the following:

Training from an instructor of over 20 years who has trained thousands of people and also a Microsoft Certified Trainer

Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material

Instructor led hands on and simulations to practice that can be followed even if you have little to no experience

TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:

Introduction

Welcome to the course!

Understanding the Microsoft 365 and Azure Environment

A Solid Foundation of Active Directory Domains

A Solid Foundation of RAS, DMZ, and Virtualization

A Solid Foundation of the Microsoft Cloud Services

IMPORTANT Using Assignments in the course

Questions for John Christopher

Certificate of Completion

Setting up for hands on

DONT SKIP: Before beginning your account setup

Creating a trial Microsoft 365/Azure Account

Using a Hyper-V virtual machine or an Azure virtual machine

Setting up an Azure virtual machine for hands on

HYPER-V: Getting Hyper-V Installed on Windows

HYPER-V: Creating a Virtual Switch in Hyper-V

HYPER-V: Downloading the Windows 11 ISO

HYPER-V: Installing a Windows 11 virtual machine

Device management support with Microsoft Entra

Overview of device management of Microsoft device managements concepts

Registering devices vs joining devices with Microsoft Entra

Configuring Microsoft Entra for device management

Joining our virtual machine to Microsoft Entra

Introduction to Endpoint Security & Microsoft Defender for Endpoint

What is Endpoint Security?

High level overview of Microsoft Defender for Endpoint

Licensing and Plan Comparison (P1 vs P2)

Microsoft 365 Defender Portal Tour

How Defender for Endpoint relates to Microsoft Intune

Introduction to Microsoft Intune for device management

Setting Up Defender for Endpoint

Prerequisites and Supported Operating Systems

Creating a Microsoft Defender Admin role for permissions

Onboarding a Windows device to Defender for Endpoint

Mass automatic onboarding with Microsoft Intune

Verifying Windows devices have been onboarded

Implementing device discovery

Defender for Endpoint Vulnerability Management

What are Common Vulnerabilities and Exposures (CVEs)?

Inspecting vulnerabilities on a specific device

Using the vulnerability management dashboard for high level overview

Improving security with the help of vulnerability recommendations

Utilizing remediation within vulnerability management

Creating and managing Device Groups for Defender for Endpoint

Configuration and Policy Management

Hardening endpoint security by using Endpoint Security Policies

Attack Surface Reduction (ASR) Rules

What is Next-Gen Protection with Microsoft Defender for Endpoint?

Understanding the local anti-virus settings on Windows 11

Implementing Next-Gen Protection for devices

Understanding the local Defender Firewall settings on Windows 11

Implementing Firewall Rule Policies using Defender for Endpoint

Using Security Baselines in securing our devices

Utilizing Microsoft Purview Endpoint DLP (Data Loss Prevention)

Understanding the concepts of DLP (Data Loss Prevention)

Considering device requirements before using Endpoint DLP

Settings for configuring Endpoint DLP

Configuring DLP policies with advanced rules

Enabling just-in-time (JIT) protection

How to monitor for endpoint activities

Incident Response and Investigation

What is Automated Investigation and Remediation (AIR)?

Implementing Automated Investigation and Remediation (AIR) within device groups

Triggering incidents using a client device for testing

Investigating incidents generated by Defender managed devices

Viewing alerts generated by Defender managed devices

Managing and classifying detected alerts

Kusto Query Language (KQL)

What is Kusto Query Language (KQL)?

Using the Microsoft KQL Demo environment, downloading resource materials and AI

Basic KQL syntax for searching for information

Summarizing KQL results and filtering based on time ranges

Controlling KQL data displayed based on columns, amounts and characters

Using KQL variables and combining output data

Running Threat Hunting Queries with Advanced Hunting (KQL)

Utilizing Microsoft’s Sentinel and Defender repository of premade KQL Queries

Who this course is for:
– IT people interested in learning a tremendous amount about Microsoft Defender for Endpoint
More Info

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Microsoft Copilot for Word – Microsoft Word 365 with Copilot
Published 1/2026
Duration: 41m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 659.76 MB
Genre: eLearning | Language: English​

Copilot for Word Explained Simply: Write, Edit, and Review Faster in Microsoft Word 365!

What you’ll learn

• How Word Copilot works inside Microsoft Word 365
• How to draft full documents using short prompts
• How to generate content from outlines
• How to rewrite text for tone, clarity, and length
• How to revise documents using Copilot suggestions
• How to ask questions directly from a Word file
• How to create summaries, emails, and quizzes from text
• How to turn text into tables using Copilot
• How to avoid common Copilot mistakes
• How to use Copilot safely for work documents

Requirements

• Access to Microsoft Word 365
• Copilot enabled on your Microsoft account
• Basic knowledge of Microsoft Word
• Internet connection
• Willingness to practice with sample documents

Description
Microsoft Word is already the most used document tool in the world. Now withWord Copilot, the way people write, edit, review, and summarize documents has changed completely.

This course shows you how to useCopilot for Word inside Microsoft Word 365to work faster, write better, and handle real business documents with less effort.

If you still write documents from scratch, manually rewrite paragraphs, or struggle with long files, you are wasting time. Word Copilot can do much of that work for you – but only if you know how to give it the right instructions and use it the right way. That is exactly what this course teaches.

This is not theory. This is not marketing talk. This is hands-on, task-based training based on real use cases.

You will learn how to:

Draft complete documents from short prompts

Turn rough ideas into structured content

Change tone, clarity, and length in seconds

Ask questions directly from documents

Create summaries, tables, emails, and quizzes from existing text

Revise and improve documents without rewriting everything

By the end of the course, you will stop staring at blank pages. You will stop reworking the same document again and again. You will work with Word Copilot as a daily writing assistant that understands context and intent.

If you do not learn Word Copilot now, you will fall behind colleagues who produce more work in less time. Many professionals already use Copilot to prepare reports, client emails, proposals, meeting notes, and internal documents. This course ensures you are not left out.

This training is designed for beginners and working professionals. You do not need AI experience. You do not need writing expertise. Everything is shown step by step inside Microsoft Word 365.

Each lesson focuses on one practical action. You can apply it the same day at work.

Transformation you will experience:

You will write faster without losing quality

You will edit confidently without second guessing

You will handle long documents with ease

You will rely less on manual copy-paste work

You will feel in control of Word Copilot instead of confused by it

If your job involves documents in any form – reports, emails, notes, drafts, reviews – this course will pay for itself in saved time.

Who this course is for:

• Office professionals who write documents daily
• Business owners and managers
• Students working on reports or assignments
• Content writers and editors
• HR, finance, and operations teams
• Anyone using Microsoft Word for work

More Info