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Introduction to The Splunk Ecosystem


Introduction to the Splunk Ecosystem
Duration: 1h 5m | .MP4 1280×720 30 fps(r) | AAC, 48000 Hz, 2ch | 192.34 MB
Genre: eLearning | Language: English​

Understanding how data flows through Splunk is key to effective analysis. This course will teach you how to navigate the data pipeline, apply metadata, and perform efficient searches to uncover actionable insights.

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Introduction to the Splunk Ecosystem

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Introduction to Python, 2nd Edition Learn How to Program Today with Python


2.19 GB | 21min 6s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​
Files Included :
FileName :001 Introduction to Python Introduction.mp4 | Size: (21.24 MB)
FileName :001 Learning objectives.mp4 | Size: (8.73 MB)
FileName :002 1 1 Install Python.mp4 | Size: (34.24 MB)
FileName :003 1 2 Choose a code editor.mp4 | Size: (45.72 MB)
FileName :004 1 3 Run Python code.mp4 | Size: (36.95 MB)
FileName :005 1 4 Write an area calculator.mp4 | Size: (34.93 MB)
FileName :006 1 5 More context Understand what programming is.mp4 | Size: (51.47 MB)
FileName :001 Learning objectives.mp4 | Size: (7.15 MB)
FileName :002 2 1 Learn about types.mp4 | Size: (20.09 MB)
FileName :003 2 2 Work with variables.mp4 | Size: (47.76 MB)
FileName :004 2 3 Debug errors.mp4 | Size: (58.85 MB)
FileName :005 2 4 Manipulate strings.mp4 | Size: (43.8 MB)
FileName :006 2 5 Write a Mad Libs program.mp4 | Size: (27.74 MB)
FileName :007 2 6 Use modules.mp4 | Size: (69.86 MB)
FileName :008 2 7 Write your own functions.mp4 | Size: (68.13 MB)
FileName :009 2 8 Write a timer game.mp4 | Size: (54.58 MB)
FileName :010 2 9 More context Learn about Python.mp4 | Size: (38.46 MB)
FileName :001 Learning objectives.mp4 | Size: (8.07 MB)
FileName :002 3 1 More context Useful skills for programmers.mp4 | Size: (49.56 MB)
FileName :003 3 2 Identify true and false statements.mp4 | Size: (26.94 MB)
FileName :004 3 3 Use conditional if statements.mp4 | Size: (69.67 MB)
FileName :005 3 4 Write a number-guessing game.mp4 | Size: (46.84 MB)
FileName :001 Learning objectives.mp4 | Size: (8.01 MB)
FileName :002 4 1 Use a while loop.mp4 | Size: (42.55 MB)
FileName :003 4 2 Improve the number-guessing game with while loops.mp4 | Size: (32.21 MB)
FileName :004 4 3 Create and manipulate lists.mp4 | Size: (44.83 MB)
FileName :005 4 4 Loop over sequences with for loops.mp4 | Size: (67.67 MB)
FileName :006 4 5 Write a quiz game.mp4 | Size: (72.01 MB)
FileName :007 4 6 More context Refactor your code.mp4 | Size: (89.38 MB)
FileName :001 Learning objectives.mp4 | Size: (12.9 MB)
FileName :002 5 1 More context Discuss how to keep learning.mp4 | Size: (71.1 MB)
FileName :003 5 2 Look at more data structures.mp4 | Size: (54.86 MB)
FileName :004 5 3 Read files.mp4 | Size: (45.11 MB)
FileName :005 5 4 Write more complex functions.mp4 | Size: (64.18 MB)
FileName :006 5 5 Program with classes.mp4 | Size: (87.36 MB)
FileName :007 5 6 Import external packages.mp4 | Size: (32.34 MB)
FileName :008 5 7 Add type-hints.mp4 | Size: (37.84 MB)
FileName :001 Learning objectives.mp4 | Size: (7.69 MB)
FileName :002 6 1 Look at the ecosystem.mp4 | Size: (24.41 MB)
FileName :003 6 2 Start a Jupyter notebook.mp4 | Size: (38.12 MB)
FileName :004 6 3 Import a dataset.mp4 | Size: (33.64 MB)
FileName :005 6 4 Clean some data.mp4 | Size: (43.72 MB)
FileName :006 6 5 Plot the data.mp4 | Size: (35.21 MB)
FileName :007 6 6 Find some statistics.mp4 | Size: (20.78 MB)
FileName :001 Learning objectives.mp4 | Size: (12.22 MB)
FileName :002 7 1 Look at the anatomy of a web app.mp4 | Size: (29.71 MB)
FileName :003 7 2 Start a web app with Flask.mp4 | Size: (42.27 MB)
FileName :004 7 3 Create a static page.mp4 | Size: (71.18 MB)
FileName :005 7 4 Get content from the back-end.mp4 | Size: (75.51 MB)
FileName :006 7 5 Make the page dynamic.mp4 | Size: (59.21 MB)
FileName :007 7 6 Hook up a database.mp4 | Size: (86.04 MB)
FileName :008 7 7 Get more context databases and deployment.mp4 | Size: (20.06 MB)
FileName :001 Introduction to Python Summary.mp4 | Size: (6.66 MB)]
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Introduction to Multivariable Calculus 2026


Free Download Introduction to Multivariable Calculus 2026
Published 4/2026
Created by Renngang Engineering
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 36m ) | Size: 480 MB

Learn math from the best Scandinavian Instructors with Renngang Engineering
What you’ll learn
✓ Learn what multivariable analysis
✓ Learn what partial derivatives are
✓ Practice through solving real exam problems from top universities
✓ Instructor led guidance through every problem
Requirements
● No prior math knowledge is strictly speaking needed, but some prior engineering mathematics is beneficial
Description
Welcome to Multivariable Calculus 2026, a carefully designed introductory course created by Scandinavian instructors from Renngang Engineering, a Norwegian education initiative dedicated to clarity, rigor, and practical understanding.
This course is built for students who have completed single variable calculus and are ready to take the next step into higher dimensional thinking.
You will explore how calculus extends beyond one dimension, learning how to work with functions of multiple variables, visualize surfaces, and understand how change behaves in higher dimensions. Throughout the course, we emphasize geometric intuition, real world interpretation, and problemsolving skills.
What we will go through in the course
Understanding and analyzing multivariable functions
Interpreting and computing partial derivatives
Working with gradients, directional derivatives, and optimization techniques
Solve a lot of problems together
Why use us for your math understanding?
At Renngang Engineering, we believe mathematics should be both precise and understandable. Our approach avoids unnecessary complexity while maintaining academic depth, helping you build strong intuition alongside technical skill. Whether you’re an engineering student, a future scientist, or simply curious about advanced mathematics, this course provides a solid and inspiring foundation.
Join us and discover how multivariable calculus can be easy as long as you stick with us on the entire journey.
Who this course is for
■ Engineers and students
Homepage
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https://www.udemy.com/course/introduction-to-multivariable-calculus-2026


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Introduction to DeepSeek


Introduction to DeepSeek
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 41m | 85.8 MB
Instructor: Ervis Trupja​

Understanding DeepSeek’s capabilities can be complex. This course will teach you to effectively evaluate, deploy, and optimize DeepSeek models for real-world AI applications through hands-on implementation.

What you’ll learn

DeepSeek’s open-source models are revolutionizing AI accessibility, but understanding their architecture and implementation can be challenging. In this course, Introduction to DeepSeek, you’ll learn to effectively evaluate and deploy these powerful models for real-world applications.

First, you’ll explore the innovative Mixture-of-Experts architecture that makes DeepSeek efficient, understanding how only 37B parameters are active during inference despite the model’s 671B total parameters. Next, you’ll discover how DeepSeek-R1’s reasoning capabilities compare against proprietary models through comprehensive benchmark analysis and practical demonstrations. Finally, you’ll learn how to implement DeepSeek models in production environments and calculate the total cost of ownership for different deployment strategies.

When you’re finished with this course, you’ll have the skills and knowledge of DeepSeek’s capabilities and limitations needed to make informed decisions about integrating these models into your AI workflow and applications.

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A Halloween Feast 2024 1080p AMZN WEB-DL DDP2 0 H 264-BYNDR

A Halloween Feast (2024) 4.7 (835 Votes)
Runtime: 1h 43m

Genre: Comedy, Horror

Cast: Lynn Lowry, Julia Coulter, Guile Branco

Plot: Former ballerina Angela descends into madness as her family tries to cope. After an infamous dinner, their lives spiral into unexpected chaos. All skeletons come out at a Halloween party.

A Halloween Feast 2024 1080p AMZN WEB-DL DDP2 0 H 264-BYNDR

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https://www.imdb.com/title/tt20203720/

Title: A Halloween Feast (2024)
Genres: Comedy, Horror
Description: Former ballerina Angela descends into madness as her family tries to cope. After an infamous dinner, their lives spiral into unexpected chaos. All skeletons come out at a Halloween party.
Director: Guile Branco
Writer: Guile Branco, Arthur McClen
Actors: Lynn Lowry, Julia Coulter, Guile Branco
Rating: 8.5
Votes: 195
Rated: N/A
Runtime: 103 min

General:
Name: A Halloween Feast 2024 1080p AMZN WEB-DL DDP2 0 H 264-BYNDR
Format: mkv
Size: 5.61 GB

Video:
Width: 1920 pixels
Height: 800 pixels
Format: AVC
Codec: V_MPEG4/ISO/AVC
Duration: 01:42:26
Bit rate: 7462 Kbps
Frame rate: 23.976 fps
Aspect ratio: 2.40:1
Subtitles: English

Audio:
Audio track: 1
Language: English
Codec: A_EAC3
Bit rate: 224 Kbps
Compression: Lossy
Sampling rate: 48 Khz

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Introduction to Data Modeling with LookML


Introduction to Data Modeling with LookML
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 1h 17m | 204 MB
Instructor: Dr. Ali Feizollah​

Analysts working in Looker often hit a wall when metrics look wrong, fields go missing, or dashboards behave unexpectedly-issues that originate in the data model, not the query.

In this course, Introduction to Data Modeling with LookML, you’ll gain the ability to understand, build, and troubleshoot the LookML layer that powers every Explore.

First, you’ll explore what LookML is, how it fits into the Looker ecosystem, and how modeling decisions directly affect analyst workflows.

Next, you’ll discover how to model Explore joins that combine datasets safely while preserving metric accuracy. Then, you’ll see how to create dimensions for common analysis needs, including time-based fields and segmentation buckets.

Finally, you’ll learn how to create reliable, reusable measures with proper formatting, filters, and testing. When you’re finished with this course, you’ll have the skills and knowledge of LookML data modeling needed to read and modify a Looker data model, diagnose common data issues, and contribute meaningfully to your organization’s analytics layer.

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Introduction to Context Engineering


Introduction to Context Engineering
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 1h 7m | 225 MB
Instructor: George Smith​

Level up in AI development by mastering how to structure, manage, and automate context that powers Large Language Models. Learn core concepts and technologies behind context engineering to build new transformative experiences with AI agents.

What you’ll learn

Many AI engineers know how to prompt Large Language Models but struggle to design and manage the context that makes those prompts truly effective. In this course, Introduction to Context Engineering, you’ll learn to structure, automate, and optimize the flow of information that powers AI models.

First, you’ll explore what context engineering is and why it matters. Next, you’ll discover the driving factors behind context design, like constraints. Finally, you’ll learn how to apply common context engineering patterns.

When you’re finished with this course, you’ll have the skills and knowledge of leveraging context engineering needed to build transformative AI experiences by effectively managing model context.

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Introduction To Blender For Architecture


Introduction To Blender For Architecture
Published 3/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.30 GB | Duration: 1h 51m​

The most beginner-friendly course to get you started fast for using Blender for architectural design

What you’ll learn

Learn how to use Blender for Architecture

Learn Blender’s user interface

Design a building in Blender

Sketch inside of Blender

Create diagrammatic renderings

Requirements

No prior Blender experience required

Suitable for absolute beginners

Description

Comprehensive Learning Package: Your Architectural Design Journey Begins HereWelcome to our Introduction to Blender for Architectural Design course, guided by Dimitar – a seasoned architect with over a decade of professional experience using Blender. Whether you’re an architect, student, or 3D artist, this course will empower you to harness Blender’s capabilities for architectural innovation.Course Outline: Introduction to Blender for Architectural DesignIn this introductory mini course, you’ll learn how to use Blender for architectural design while designing a multi-storey residential building. Throughout the process, you’ll gain insights into the following topics: Creating architecture massings and mastering mesh geometry editing techniques. Generating multi-floor buildings efficiently using modifiers for quick iterations. Procedurally creating internal walls to enhance your architectural design process. Utilizing Blender’s annotation tools to easily sketch and annotate within the 3D viewport. Designing facades that allow for flexible design changes. Exploring rendering basics to generate hidden line images for effective presentations.Course Benefits: What You’ll LearnBy completing this course, you’ll develop a solid foundation in several key areas: Concept Architecture Models: Learn to create concept architectural models using Blender’s powerful tools. Procedural Workflows: Understand time-saving and user-friendly procedural workflows that streamline your design process. 3D Sketching: Gain confidence in using Blender’s annotation tools to sketch and visualize your ideas directly in the 3D viewport. Effective Presentation: Acquire skills to present your concept work effectively, showcasing your design vision to others.By the end of this course, you’ll be equipped to create stunning architectural concepts, optimize your workflow, and communicate your ideas with confidence.

Overview

Section 1: Course structure

Lecture 1 Introduction

Lecture 2 Presentation and overview

Lecture 3 Basics

Lecture 4 Massing

Lecture 5 Facade

Lecture 6 Facade refinement

Lecture 7 Ground floor

Lecture 8 Rendering setup

Lecture 9 Rendering 1

Lecture 10 Rendering 2

Architects and Designers,3D Artists,Anyone that wishes to learn how to use Blender for architectural design

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Introduction to Airia AI – Build Enterprise AI Agents


Free Download Introduction to Airia AI – Build Enterprise AI Agents
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 32m | Size: 386.8 MB
Learn how to build real AI agents using Airia

What you’ll learn
Professionals who want to build AI agents without heavy coding
Business users exploring enterprise AI tools and automation
Developers looking to learn AI orchestration platforms
Anyone interested in deploying secure AI chatbots
Automation engineers building real-world AI workflows
Requirements
A computer with internet access
No programming experience required
Willingness to follow hands-on demonstrations
Basic familiarity with web applications
Description
Are you ready to build real AI agents without complex coding or infrastructure?
In this course, you’ll learn how to use Airia, an enterprise AI orchestration platform, to create intelligent AI agents that solve real business problems. Instead of theory, this course focuses on hands-on builds that demonstrate how AI agents are created, configured, and tested in real-world workflows.
By the end of this course, you’ll have built three functional AI agents that demonstrate real business value
• An Onboarding Agent that helps new employees understand company processes
• An Ecommerce Chatbot that answers product and pricing questions
• A Calendar Assistant that connects to scheduling tools and checks availability
This course is designed to be fast, practical, and beginner-friendly. In about 30 minutes, you’ll learn the core workflow pattern used to create AI agents – from setting up your environment to testing live responses.
You’ll also learn
• How to create projects inside Airia
• How to select and configure AI models
• How to write effective system prompts
• How to test and refine agent responses
• How to connect tools like calendars
• How businesses deploy AI agents safely and efficiently
Whether you’re exploring AI for the first time or looking to expand your automation skills, this course gives you a fast, hands-on introduction to enterprise-grade AI workflows.
If you’re curious about how AI agents are built – this is the perfect place to start.
Who this course is for
Developers learning modern AI orchestration tools
Anyone curious how enterprise AI systems actually work
Business professionals exploring enterprise AI adoption
Teams building internal AI assistants
Entrepreneurs creating AI-powered products
Beginners who want to build their first AI agents


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Interview Success Masterclass Realistic Mock Interviews


Free Download Interview Success Masterclass Realistic Mock Interviews
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.70 GB | Duration: 4h 30m
For CAT, UG, PG students and professionals: master mock interviews, HR rounds, stress questions, and salary talks
What you’ll learn

Answer job interview questions with clear, confident, and professional English
Introduce yourself, describe your experience, and present your accomplishments effectively in interviews
Handle weaknesses, stress questions, and follow-up questions without losing confidence
Ask smart questions, perform better in second-round interviews, and negotiate salary professionally
Requirements
No prior interview experience is needed. This course is suitable for UG, PG, CAT, GMAT, MBA aspirants, freshers, and professionals.
Description
Do you want to answer interview questions with more confidence, sound more professional, and perform better in real job interviews?This course is designed to help you succeed in interviews through realistic mock interview practice, practical examples, and professional English communication. Instead of learning only theory, you will learn how interviews actually happen in real life and how to respond in a clear, structured, and job-relevant way.A major strength of this course is its realistic approach. Many interview courses only provide sample answers in isolation. But in real interviews, you need much more than that. You need to introduce yourself well, talk about your previous experience, explain your accomplishments, discuss weaknesses carefully, handle stress questions, ask smart questions to the interviewer, and speak confidently during HR and salary discussions. This course helps you build that complete skill set.In this course, you will learn how to:introduce yourself professionally in interviewsanswer common interview questions with confidencetalk about your previous experience in a structured waypresent your accomplishments clearly and effectivelydiscuss weaknesses honestly and professionallyhandle stress and pressure questions calmlyask thoughtful questions to the interviewerprepare for second-round and HR interviewsunderstand how recruiters compare candidatesapproach salary negotiation with confidence and professionalismThis course is especially useful for students, job seekers, freshers, and professionals who want to improve their interview performance in English and make a stronger impression on employers.By the end of this course, you will be able to approach interviews with greater confidence, answer questions more effectively, and present yourself as a stronger candidate in competitive job markets.
UG and PG students, CAT/GMAT/MBA aspirants, freshers, and working professionals who want to improve interview skills and confidence
Homepage
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https://www.udemy.com/course/interview-success-masterclass-realistic-mock-interviews/


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