• Regeln für den Video-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Einteilung

    - Folgende Formate gehören in die angegeben Bereiche:
    - Filme: Encodierte Filme von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format DivX, XviD und x264.
    - DVD: Filme im Format DVD5, DVD9 und HD2DVD.
    - HD: Encodierte Filme mit der Auflösung 720p oder darüber von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format x264.
    - 3D: Encodierte Filme von BluRay, die in einem 3D Format vorliegen. Dies gilt auch für Dokus, Animation usw.
    - Serien: Cartoon/Zeichentrick, Anime, Tutorials, Dokumentationen, Konzerte/Musik, Sonstiges sind demnach in die entsprechenden Bereiche einzuordnen, auch wenn sie beispielsweise im High Definition-Format oder als DVD5/DVD9/HD2DVD vorliegen. Ausnahme 3D.
    - Bereich Englisch: Englische Releases gehören immer in diesen Bereich.
    - Bereich Talk: Der Bereich, in dem über die Releases diskutiert werden kann, darf, soll und erwünscht ist.


    Angebot/Beitrag erstellen

    - Ein Beitrag darf erst dann erstellt werden, wenn der Upload bei mindestens einem OCH komplett ist. Platzhalter sind untersagt.
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    - Bei einem Sammelthread für eine Staffel entfällt aus dem Releasename natürlich der Name der Folge. Beispiel: Die Simpsons S21 German DVDRip XviD - ITG
    - Dementsprechend sind also u.a. verboten: Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist.

    Aufbau des Angebots und Threadtitel

    Der Titel nach folgendem Muster erstellt zu werden. <Name> [3D] [Staffel] [German] <Jahr> <Tonspur> [DL] [Auflösung] <Quelle> <Codec> - <Group>
    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
    Beispiel: The Dark Knight 2008 DTS DL 1080p BluRay x264 iND
    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
    Beispiel: Die Simpsons S20 German AC3 720p BluRay x264 iND
    Beispiel: Sword Art Online II Ger Sub 2014 AAC 1080p WEBRip x264 - peppermint
    Entsprechend sind also u.a. verboten: Sonderzeichen wie Klammern, Sterne, Ausrufezeichen, Unterstriche, Anführungszeichen / Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist
    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
    Überschrift entspricht dem Threadtitel
    Cover
    kurze Inhaltsbeschreibung
    Format, Größe, Dauer sind gut lesbar für Downloader außerhalb des Spoilers zu vermerken
    Nfo sind immer Anzugeben und selbige immer im Spoiler in Textform.
    Sind keine Nfo vorhanden z.B. Eigenpublikationen, sind im Spoiler folgende Dateiinformationen zusätzlich anzugeben :
    Quelle
    Video (Auflösung und Bitrate)
    Ton (Sprache, Format und Bitrate der einzelnen Spuren)
    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
    Bei SD kann auf diese zusätzlichen Dateiinformationen verzichtet werden.

    Alle benötigten Passwörter sind, sofern vorhanden, in Textform im Angebot anzugeben.
    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


    Releases

    - Sind Retail-Release verfügbar, sind alle anderen Variationen untersagt. Ausnahmen: Alle deutschen Retail-Release sind CUT, in diesem Fall sind dubbed UNCUT-Release zulässig.
    - Im Serien-Bereich gilt speziell: Wenn ein Retail vor Abschluss einer laufenden Staffel erscheint, darf diese Staffel noch zu Ende gebracht werden.62
    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
    - P2P und Scene Releases dürfen nicht verändert oder gar unter einem iND Tag eingestellt werden.


    Support, Diskussionen und Suche

    - Supportanfragen sind entweder per PN oder im Bereich Talk zu stellen.
    - Diskussionen und Bewertungen sind im Talk Bereich zu führen. Fragen an die Uploader haben ausschließlich via PN zu erfolgen, und sind in den Angeboten untersagt.
    - Anfragen zu Upload-Wünschen sind nur im Bereich Suche Video erlaubt. Antworten dürfen nur auf Angebote von MyBoerse.bz verlinkt werden.


    Verbote

    - Untersagt sind mehrere Formate in einem einzigen Angebotsthread, wie beispielsweise das gleichzeitige Anbieten von DivX/XviD, 720p und 1080p in einem Thread. Pro Format, Release und Auflösung ist ein eigener Thread zu eröffnen.
    - Grundsätzlich ebenso verboten sind Dupes. Uploader haben sich an geeigneter Stelle darüber zu informieren, ob es sich bei einem Release um ein Dupe handelt.
    - Gefakte, nur teilweise lauffähige oder unvollständige Angebote sind untersagt. Dies gilt auch für eigene Publikationen, die augenscheinlich nicht selbst von z.B. einer DVD gerippt wurden. Laufende Serien, bei denen noch nicht alle Folgen verfügbar sind, dürfen erstellt und regelmäßig geupdatet werden.
    - Untersagt sind Angebote, welche nur und ausschließlich in einer anderen Sprache als deutsch oder englisch vorliegen. Ausnahmen sind VORHER mit den Moderatoren zu klären.


    Verstoß gegen die Regeln

    - Angebote oder Beiträge, die gegen die Forenregeln verstoßen, sind über den "Melden"-Button im Beitrag zu melden.
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.

*** Bestes IPTV *** bester Preis *** gratis Test ***



Englische Tutorials

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Creating a Gundam Character in Maya 2022
Published 7/2024
Created by Digital Saucer Studios
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 131 Lectures ( 36h 35m ) | Size: 28 GB



Master Professional Modelling Techniques to Create a Space Gundam Character in Maya



What you'll learn:

You need to know some basic Maya skills
This courtse is for anyone who is willing to learn how to create characters in Maya
They will learn Maya's modelling tools
They will learn how to create 3D models

Requirements:
You should know some basic skills in Maya.

Description:
This one's epic, folks! Over 30 hours of pure 3D awesomeness! I will take you on your amazing 3D journey on how to create a Gundam robot character from those classic Japanese cartoon shows.You will learn how to model the head, the helmet and all the details on it, then the body, the arms, the legs -- in fact the entire thing! And then how to model the weapons.You will master the most common modelling tools. How to use the various options, and shortcuts. You will master the Multi-Cut Tool, the Bevel Tool, the Mirror Tool, and how to master component selections.You will learn all about topology and resolution. What makes great topology, and how to fix bad topology. You will earn how to create quadrangulated geometry - that is, 4-sided geometry.You will learn how to work in low resolution level, and how to increase the geometry to high resolution. You will understand how adding holding edge loops creates sharper edges for your models. You will learn how to delete history, how to center the pivot, and how to freeze transformations -- very important aspects in 3D modelling.Finally, you will get to pose the character to make him look interesting and exciting. A big part of modelling is presentation, so therefore it is very important that your model looks like it has personality.

Who this course is for:
My course is for those who are interested in modelling in 3D.



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Master of Ai in hr&recruitment
Published 7/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 58h 34m | Size: 25 GB

AI LEADERSHIP & DRIVEN STRATEGIES, GENERATIVE AI & LEARNING AI APPLIED TO HR & RECRUITMENT



What you'll learn
AI LEADERSHIP IN RECRUITMENT & HR
MASTER AI-DRIVEN STRATEGIES IN HR & RECRUITMENT
TALENT ATTRACTION & RECRUITMENT MARKETING POWERED WITH AI
TALENT ACQUISITION & RECRUITMENT PROCESS POWERED WITH AI
TALENT MANAGEMENT & EMPLOYEE JOURNEY POWERED WITH AI
HR SYSTEMS, ATS, HRIS & HR CONSULTING WITH AI INTEGRATION
HR & RECRUITMENT PROJECT MANAGEMENT & METHODOLOGIES
BUILDING AN AI-DRIVEN RECRUITMENT BUSINESS
BUILDING AN AI-DRIVEN HR CONSULTING BUSINESS
MASTER GENERATIVE AI & LEARNING AI IN HR & RECRUITMENT
3 Months Internship in USA (Immersive HR & Recruitment AI Implementation)


Requirements
No experience needed in AI.
Minimum experience (Familiarity)to Senior experience in Recruitment & HR.


Description
Course Overview: Welcome to the "Master of AI in HR & Recruitment," an in-depth course designed to revolutionize your approach to HR and recruitment through the strategic application of Artificial Intelligence (AI). This comprehensive program spans seven modules, covering the future of recruitment, the intricacies of AI in recruitment processes, talent attraction, AI-enhanced recruitment marketing, talent acquisition, AI's role in HR and talent management, project management for HR and recruitment, and AI consulting and transformation. By the end of this course, you will be equipped with cutting-edge knowledge and practical skills to lead in the dynamic field of AI-driven HR and recruitment.Course Material7 Modules, 56 Chapters.110+ hours Videos content.+ 400 Deep Dive Lessons ( with Lifetime updates)Exercises & Quizzes.Audits, articles & Guides.AI Project Implementations.1 hour Consultation per Module.3 months Internship for Graduates (USA).Free consultation & Audit for companies.Accredited Master in AI for HR & Recruitment.Course programModule 1: The Future of RecruitmentYour Role in Shaping the Future of HR & Recruitment (FREE INTRO) Understand your pivotal role in the evolving landscape of HR and recruitment, and how AI is shaping the future.The Future of AI in Recruitment: Trends and Possibilities Explore emerging trends and the potential future impact of AI on recruitment strategies.The Evolution of Recruitment: Digitalization to AI Integration Trace the journey from traditional recruitment to digital and AI-integrated methods.Agile Recruiting: Adapting to Modern Dynamics with AI Learn how to incorporate agile methodologies in recruitment to keep pace with modern demands.Empowering the Future: Merging Human Expertise with AI Innovation Discover the synergy between human skills and AI, fostering innovation in HR practices.AI in Overcoming Communication Challenges: Unrealistic Hiring Managers Leverage AI to address and overcome communication barriers with hiring managers.AI and Diversity, Equity, and Inclusion (DE&I) in Recruitment Utilize AI to enhance DE&I initiatives, ensuring a fair and inclusive recruitment process.Module 2: AI in RecruitmentThe Levels of AI and Its Possibilities Including ChatGPT and Limited Memory Understand various AI levels and their applications, focusing on tools like ChatGPT.AI's Impact on Industry Benchmarking: Staying Ahead in Recruitment Use AI for industry benchmarking to maintain a competitive edge in recruitment.Mastering AI Prompts: Precision and Clarity in Communication Develop skills to craft precise and clear AI prompts for effective communication.Recruitment Automation: Streamlining Processes for Efficiency Implement automation to enhance efficiency and streamline recruitment processes.AI & Chatbots: Unraveling the Potential in Recruitment Explore the potential of chatbots in transforming recruitment engagement and tasks.Chatbots in Recruitment: Enhancing Candidate Interaction Learn how to enhance candidate interaction and experience through AI-driven chatbots.AI Ethics and Bias Mitigation in HR & Recruitment Address ethical considerations and strategies for mitigating biases in AI applications.Module 3: Talent Attraction & Recruitment MarketingCandidate Sourcing with AI: Expanding Reach and Targeting Master social media and AI tools to expand sourcing reach and precision.Recruitment Marketing: Beyond Traditional Methods with AI Develop innovative AI-enhanced recruitment marketing strategies.Recruitment Marketing Strategies: AI-Enhanced Outreach Leverage AI to create and execute effective outreach strategies.Creating Candidate Personas with AI: Precision in Targeting Use AI to develop detailed candidate personas for targeted recruitment.AI and Employer Value Proposition (EVP): Building a Compelling Brand Enhance your employer brand with AI to attract top talent.The Role of AI in Writing Job Ads. Crafting Engaging Description Learn how to question the job analysis to remake better job description with AISEO Enhanced with AI for Recruitment: Optimizing Job Ads for Maximum Visibility Implement AI-driven SEO strategies to increase job ad visibility.Module 4: Talent Acquisition & Recruitment ProcessGame Recruitment Using AI Innovate and streamline game recruitment processes with AI.Screening Resumes with AI: Efficient Candidate Qualification Automate resume screening to quickly identify top candidates.AI-Powered Interviewing: Asking the Right Questions Use AI to optimize interview questions and assess candidates effectively.The Art of Interviewing: AI-Enhanced Techniques and Training Enhance your interviewing techniques and training with AI.Crafting Interview Reports: AI-Generated Insights Utilize AI to create detailed, insightful interview reports.Crafting Biographies with AI: Showcasing Candidates Effectively Employ AI to create compelling candidate biographies.Personalized Candidate Experience: AI-Driven Communication Enhance candidate experience through personalized AI communication.Onboarding Reinvented: Designing Effective Processes with AI Redesign onboarding processes with AI for a seamless experience.Harnessing AI's Potential in HR Explore the full potential of AI in transforming HR functions.Module 5: AI in HR & Talent ManagementAI & UX Design for Candidates: Enhancing the Application Experience Improve the candidate application experience with AI-driven UX design.AI & UX Design for Employees: Improving the Employee Journey Enhance the employee journey with AI-optimized UX design.AI & Employee Engagement Boost employee engagement using AI tools and strategies.AI & Employee Development Implement AI to personalize and optimize employee development programs.AI & Performance Management Use AI to streamline and enhance performance management processes.AI & Employee Retention Leverage AI to improve employee retention strategies.AI in HR: Analytics & Predictive HR Apply AI analytics for predictive insights in HR management.AI in HR: Compliance & Legal Considerations Navigate the compliance and legal aspects of implementing AI in HR.AI Integration with ATS & HRIS Systems Integrate AI with existing ATS and HRIS systems for enhanced functionality.AI Recommendation Engines: Revolutionizing HR Intranets Transform HR intranets with AI-powered recommendation engines.AI Integration into HR Systems and Change Management Manage the change process effectively when integrating AI into HR systems.Module 6: HR & Recruitment Project ManagementMethodologies & Project Management in HR & Recruitment Learn the best project management methodologies tailored for HR and recruitment.25 Project Management Breakdowns for Internal HR Gain insights into 25 detailed project management breakdowns for internal HR projects.25 Project Management Breakdowns for External AI Consultants Explore 25 comprehensive project management strategies for external AI consultants.Change Management for Organizations: Pivot and Adopt AI Master change management techniques to pivot and adopt AI seamlessly.AI's Role in Data-Driven Decision Making: Insights and Trends Harness AI to enhance data-driven decision-making processes in HR.Analytics in Recruitment: Leveraging Data for Informed Decisions Utilize analytics to make informed recruitment decisions and optimize processes.Dangers of Too Much Data Understand the potential pitfalls of data overload and how to manage it effectively.Module 7: AI Consulting & TransformationGenerative AI, Learning AI, Theory of Mind in HR & Recruitment Dive deep into advanced AI concepts and their applications in HR.Navigating Technical Jargon with AI: Clarity and Understanding Simplify complex AI terminology to ensure clarity and understanding.Natural Language Processing Explore the applications and benefits of NLP in HR and recruitment.Deep Learning vs. Machine Learning Compare and contrast deep learning and machine learning, and their HR applications.AI Myths and Misguidance Debunk common AI myths and navigate through misguidance.Responsible AI: Ensuring Objectivity Implement responsible AI practices to ensure objectivity and fairness.Emotional AI Controversy Understand the controversies surrounding emotional AI and its implications.Making AI More Human Learn techniques to make AI interactions more human-like and relatable.Building an AI Recruitment Company Get insights on starting and running an AI-powered recruitment company.Building an AI HR Consulting Company Learn the essentials of establishing and managing an AI-driven HR consulting firm.Course Outcome: By the end of this master course, you will be equipped with the advanced skills and knowledge to harness AI in HR and recruitment effectively. You will understand how to integrate AI tools, address ethical considerations, and lead innovative HR projects. This course positions you at the forefront of the AI revolution in HR, empowering you to drive significant improvements in recruitment and talent management practices.As you conclude this Master course, you're not just equipped with knowledge; you're armed with a cutting-edge expertise to revolutionize the HR and Recruitment landscape. Whether you're an aspiring professional, an HR intern, a Recruitment Consultant, Headhunting or Consulting company wishing to develop an AI offer... Or a seasoned HR expert who needs to prepare for internal AI transformations; the skills and insights gained in this course will be the driving force behind your success not least to be prepared for the Great AI Shift but to exceed and thrive in it. Embrace the future with confidence, knowing that you have the expertise to navigate the dynamic intersections of AI within HR & the Recruitment Industry.

Who this course is for
HR Internal Managers, Recruitment Consultants, Consulting Managers,
Staffing agencies, Recruitment & Consulting Companies
Young Graduates & Post Graduates
Entrepreneurs & AI Startups
AI enthusiasts


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Japanese 3D Environment - In-Depth Tutorial Course
Published 5/2024
Created by FastTrack Tutorials
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 102 Lectures ( 43h 26m ) | Size: 40.4 GB



Learn how a professional environment artist works when creating environments for games and cinematics.



What you'll learn:

Learn how to create advanced 3D environments in Unreal Engine 5
Learn everything from 3D modeling to texturing to level art & lighting
Learn how to create complex shaders in Unreal Engine
Learn how to use the latest tools in Unreal Engine 5 to create environments

Requirements:
You will need to know the basics of the programs mentioned in the description.

Description:
Japanese Game Environment In-Depth Tutorial CourseLearn how a professional environment artist works when creating environments for games & cinematics. In this course you will learn from start to finish how to create a high quality environment including everything from modeling, sculpting, material creation, engine setup and lighting.3DS MAX, SUBSTANCE, ZBRUSH AND UNREAL ENGINE 5This course will cover a very large number of topics, but the biggest topics are as followed:Doing project planning and creating proper blockout scenes.Creating assets that make extensive use of Nanite.Creating an advanced shader that allows for highly optimized textures.Creating tileable materials using both Zbrush and Substance 3D Designer.Creating unique textures using Substance 3D Painter.Doing level art, lighting and post effects in unreal engine 5.Using advanced Displacement & Scattering techniques to add real displaced textures, moss & leaves.Creating high quality foliage assets.Various techniques on creating an optimized scene.And so much more.The general takeaway of this course is that at the end, you will have the knowledge on how to create exactly what you see in the images, and you can apply this knowledge to almost any type of environment.43+ HOURS!This course contains over 43+ hours of content You can follow along with every single step This course has been done 100% in real-time with narration except for a few timelapses for very repetitive tasks.This course has been divided up into easy-to-understand chapters. We will start the course off by planning our environment and creating our blockout assets.During this time we will already design our entire level layout.After this we will first create all of our tillable materials using Substance 3D Designer.Then we will focus on taking our assets to final, in these stages you will learn everything from modeling in 3ds max (you are able to use your own preferred modeling software), sculpting in Zbrush, UV-Unwrapping in RizomUV and texturing in Substance 3D Painter.We will then focus on getting all of our final models and textures in Unreal Engine and implementing them in our scene.We will also be creating an advanced material that allows us to basically render our textures at extremely low resolutions while keeping a high res feel for great performance.After this is done, we will start focusing on doing our first lighting pass, creating some additional assets and taking our scene closer to final.We will then go over some advanced scattering techniques which along with the power of nanite allows us to render actual geometry moss and leaves.Finally, we will finish up by creating some simple foliage, polishing up our scene and optimizing our scene further, take some final screenshots and then this environment is completed.SKILL LEVELThis game art tutorial is considered a more advanced course and we require students to have familiarity with a 3d Modeling tool, Zbrush and Unreal Engine 5 Everything in this tutorial will be explained in detail but we will not be going over the basics of the software mentioned below.TOOLS USEDUnreal Engine 53DS Max (you are able to use other modeling software)SpeedTreeRizomUVMarmoset Toolbag 4Substance DesignerSubstance PainterZbrushGraphNPlease note that most techniques used are universal, so they can be replicated in almost any 3D software like Maya & Blender.YOUR INSTRUCTOREmiel Sleegers is a lead environment artist and owner of FastTrack Tutorials. He s worked on games like The Division 2 + DLC at Ubisoft, Forza Horizon 3 at Playground Games, and as a Freelancer on multiple projects as an Environment Artist and Material Artist.

Who this course is for:
This course is intended for intermediate to advanced artists.



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AWS Solutions Architect Associate (SAA-C03) Training 2024
Published 7/2024
Created by CloudFolks HUB
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 250 Lectures ( 58h 2m ) | Size: 58.2 GB



Master AWS Solutions Architect Skills: From Basics to Certification with SAA-C03



What you'll learn:

Gain comprehensive knowledge of core AWS services, including EC2, S3, RDS, VPC, and IAM
Learn how to design highly available, fault-tolerant, and scalable architectures on AWS.
Understand and apply elasticity and scalability concepts using Auto Scaling, Load Balancers, and other AWS services.
Learn strategies to optimize cloud performance, including caching,and database optimization
Implement robust security practices, including IAM policies, encryption, and network security.
Understand cost management techniques and AWS pricing models to optimize cloud spending.
Gain hands-on experience in deploying, managing, and troubleshooting applications on the AWS cloud.
Learn about VPC configurations, Route 53, DNS, and other networking services.
Explore various AWS storage options and database services for efficient data management.
Utilize AWS tools like CloudWatch and CloudTrail for monitoring, logging, and auditing resources.
Get equipped with the knowledge and skills required to successfully pass the AWS SAA-C03 certification exam

Requirements:
No prior AWS or cloud computing experience is necessary; this course is structured to guide beginners through the basics and gradually introduce more advanced topics.

Description:
Course Description:Master AWS Solutions Architect Skills: From Basics to Certification with SAA-C03This comprehensive course is designed to equip you with the skills needed to become a proficient AWS Solutions Architect. Whether you're a cloud professional, DevOps engineer, web developer, or an IT enthusiast, this course will provide you with the knowledge and hands-on experience to excel in AWS architecture and services.You will start with the fundamentals of cloud computing, learning about its advantages and the different types of cloud environments. The course will delve into various AWS services, including EC2, S3, RDS, VPC, and IAM, providing detailed insights into their functionalities and applications.Throughout the course, you will explore advanced topics such as designing resilient architectures, implementing elasticity and scalability, optimizing cloud performance, and enhancing security and compliance. You'll also learn about cost management techniques and AWS pricing models to effectively manage cloud spending.Practical sessions will guide you through deploying, managing, and troubleshooting applications on AWS. You'll gain expertise in networking with VPC configurations, Route 53, and DNS, as well as understanding AWS storage options and database services for efficient data management. The course will cover monitoring and auditing resources using AWS tools like CloudWatch and CloudTrail.Additionally, you'll learn to design highly available, fault-tolerant, and scalable systems, applying best practices for operational excellence.By the end of this course, you will be prepared to take the AWS Certified Solutions Architect Associate (SAA-C03) exam, armed with the knowledge and skills to design, deploy, and manage applications on the AWS platform effectively. Join us to master AWS and advance your career in cloud computing.

Who this course is for:
Aspiring Cloud Professionals and Engineers
DevOps and IT Professionals
Web Developers and Solution Architects
Students, Enthusiasts, and Small Business Owners



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Rebelway Intro to Unreal Engine
Floyd Billingy | Duration: 25+ h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 33,6 GB | Language: English

Curious if Intro to Unreal is the right course for you? Check out the . to see what this Unreal Engine basics course is all about.

Unreal Engine is one of the best realtime tools for creating games, cinematics, and more. Inside this exclusive beginners course, Floyd Billingy will show you how to navigate and use Unreal Engine from scratch.

This course is designed for anyone who is looking to learn Unreal Engine for the first time. By the end of this course you will be able to create beautiful 3D worlds inside Unreal Engine and know how to approach design for games and realtime projects. This course will cover everything from landscapes to FX. We will leave no stone unturned as we dive deep into the exciting world of Unreal Engine.

Along the way, you'll get feedback directly from Unreal Engine experts and chat with fellow artists as they learn this exclusive tool.

If you've ever wanted to use Unreal Engine for game design or realtime cinematics, this is the course for you. Welcome to the most exciting Unreal Engine basics course in the world. This course will utilize both Unreal Engine 4 and Unreal Engine 5.



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AOER : The Art of Effective Rigging 2
P2design Academy | Duration: 33+ h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | 117 GB | Language: English

AOER is the most extensive Blender rigging course released to date. It will take you from the very fundamentals of rigging in Blender to high-end, advanced level character rigging from scratch.

You'll learn to

What is rigging and what is it made for.
Parenting and basic constraints.
Bones manipulation & Vertex groups.
Using and managing an armature.
Naming conventions.

Create a Bouncing ball rig.
Squash and stretch mechanism.
Add a Spinning mechanism.
Create controller's custom shapes.

Create a little spider robot that can fold into a sphere.
Combine different mechanism.
Create inverse Kinematics legs and arms.
"Look at" function for the head orientation.
Introduction to scripting and custom Rig UI.

Create your first biped character rig.
Inverse and forward kinematics switch.
Simple spine rig.
Skinning and weights painting basics.
Full IK leg rig with foot roll.
Full custom Rig UI using scripting templates
IK/FK snapping tools.

Create an advanced biped character
Advanced spine rig.
Pistons and secondary armor rig.
Skinning and weights painting techniques.
Full IK/FK switchable arms and legs.



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Complete Machine Learning,NLP Bootcamp MLOPS & Deployment
Published 6/2024
Created by Krish Naik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 218 Lectures ( 47h 25m ) | Size: 50.2 GB



Master the theory, practice, and math behind ML,NLP. Build real-world projects with MLOPS, git, Dockers with deployment



What you'll learn:

Master foundational and advanced Machine Learning and NLP concepts.
Apply theoretical and practical knowledge to real-world projects using Machine learning,NLP And MLOPS
Understand and implement mathematical principles behind ML algorithms.
Develop and optimize ML models using industry-standard tools and techniques.
Understand The Core intuition of Deep Learning such as optimizers,loss functions,neural networks and cnn

Requirements:
Basic understanding of high school mathematics (algebra and statistics).
Familiarity with programming concepts (Python preferred).
Willingness to learn and apply theoretical and practical knowledge.
Access to a computer with internet connectivity for hands-on practice.

Description:
Are you looking to master Machine Learning (ML) and Natural Language Processing (NLP) from the ground up? This comprehensive course is designed to take you on a journey from understanding the basics to mastering advanced concepts, all while providing practical insights and hands-on experience.What You'll Learn:Foundational Concepts: Start with the basics of ML and NLP, including algorithms, models, and techniques used in these fields. Understand the core principles that drive machine learning and natural language processing.Advanced Topics: Dive deeper into advanced topics such as deep learning, reinforcement learning, and transformer models. Learn how to apply these concepts to build more complex and powerful models.Practical Applications: Gain practical experience by working on real-world projects and case studies. Apply your knowledge to solve problems in various domains, including healthcare, finance, and e-commerce.Mathematical Foundations: Develop a strong mathematical foundation by learning the math behind ML and NLP algorithms. Understand concepts such as linear algebra, calculus, and probability theory.Industry-standard Tools: Familiarize yourself with industry-standard tools and libraries used in ML and NLP, including TensorFlow, PyTorch, and scikit-learn. Learn how to use these tools to build and deploy models.Optimization Techniques: Learn how to optimize ML and NLP models for better performance and efficiency. Understand techniques such as hyperparameter tuning, model selection, and model evaluation.Who Is This Course For:This course is suitable for anyone interested in learning machine learning and natural language processing, from beginners to advanced learners. Whether you're a student, a professional looking to upskill, or someone looking to switch careers, this course will provide you with the knowledge and skills you need to succeed in the field of ML and NLP.Why Take This Course:By the end of this course, you'll have a comprehensive understanding of machine learning and natural language processing, from the basics to advanced concepts. You'll be able to apply your knowledge to build real-world projects, and you'll have the skills needed to pursue a career in ML and NLP.Join us on this journey to master Machine Learning and Natural Language Processing. Enroll now and start building your future in AI.

Who this course is for:
Aspiring data scientists and machine learning enthusiasts.
Students and professionals looking to enhance their ML and NLP skills.
Beginners with a basic understanding of programming and mathematics.
Anyone interested in understanding and applying machine learning and NLP techniques from scratch to advanced levels.
Beginners Python Developer who wants to get into the Data Science field



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Data Science, AI, Machine Learning with Python
Last updated 7/2024
Created by Uplatz Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 55 Lectures ( 49h 54m ) | Size: 25.8 GB



Complete Python Course: Data Science, Artificial Intelligence, and Machine Learning from basics to advanced



What you'll learn:

Learn the basics of Data Science, Artificial Intelligence, and Machine Learning
Understand and implement the Python Environment Setup
Get introduced to Python Programming for AI, DS and ML
Learn Data Importing
Understand Exploratory Data Analysis & Descriptive Statistics
Master Probability Theory & Inferential Statistics
Learn how to do Data Visualization using Python
Take a deep-dive into implementation of Data Cleaning, Data Manipulation & Pre-processing using Python programming
Understand Predictive Modeling & Machine Learning

Requirements:
Enthusiasm and determination to make your mark on the world!

Description:
A warm welcome to the Data Science, Artificial Intelligence, and Machine Learning with Python course by Uplatz.Data ScienceData Science is an interdisciplinary field focused on extracting knowledge and insights from structured and unstructured data. It involves various techniques from statistics, computer science, and information theory to analyze and interpret complex data.Key Components:Data Collection: Gathering data from various sources.Data Cleaning: Preparing data for analysis by handling missing values, outliers, etc.Data Exploration: Analyzing data to understand its structure and characteristics.Data Analysis: Applying statistical and machine learning techniques to extract insights.Data Visualization: Presenting data in a visual context to make the analysis results understandable.Python in Data SciencePython is widely used in Data Science because of its simplicity and the availability of powerful libraries:pandas: For data manipulation and analysis.NumPy: For numerical computations.Matplotlib and Seaborn: For data visualization.SciPy: For advanced statistical operations.Jupyter Notebooks: For interactive data analysis and sharing code and results.Artificial Intelligence (AI)Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider smart. It includes anything from a computer program playing a game of chess to voice recognition systems like Siri and Alexa.Key Components:Expert Systems: Computer programs that emulate the decision-making ability of a human expert.Natural Language Processing (NLP): Understanding and generating human language.Robotics: Designing and programming robots to perform tasks.Computer Vision: Interpreting and understanding visual information from the world.Python in AIPython is preferred in AI for its ease of use and the extensive support it provides through various libraries:TensorFlow and PyTorch: For deep learning and neural networks.OpenCV: For computer vision tasks.NLTK and spaCy: For natural language processing.Scikit-learn: For general machine learning tasks.Keras: For simplifying the creation of neural networks.Machine Learning (ML)Machine Learning is a subset of AI that involves the development of algorithms that allow computers to learn from and make predictions or decisions based on data. It can be divided into supervised learning, unsupervised learning, and reinforcement learning.Key Components:Supervised Learning: Algorithms are trained on labeled data.Unsupervised Learning: Algorithms find patterns in unlabeled data.Reinforcement Learning: Algorithms learn by interacting with an environment to maximize some notion of cumulative reward.Python in Machine LearningPython is highly utilized in ML due to its powerful libraries and community support:Scikit-learn: For implementing basic machine learning algorithms.TensorFlow and PyTorch: For building and training complex neural networks.Keras: For simplifying neural network creation.XGBoost: For gradient boosting framework.LightGBM: For gradient boosting framework optimized for speed and performance.Python serves as a unifying language across these domains due to:Ease of Learning and Use: Python's syntax is clear and readable, making it accessible for beginners and efficient for experienced developers.Extensive Libraries and Frameworks: Python has a rich ecosystem of libraries that simplify various tasks in data science, AI, and ML.Community and Support: A large and active community contributes to a wealth of resources, tutorials, and forums for problem-solving.Integration Capabilities: Python can easily integrate with other languages and technologies, making it versatile for various applications.Artificial Intelligence, Data Science, and Machine Learning with Python - Course Curriculum1. Overview of Artificial Intelligence, and Python Environment SetupEssential concepts of Artificial Intelligence, data science, Python with Anaconda environment setup2. Introduction to Python Programming for AI, DS and MLBasic concepts of python programming3. Data ImportingEffective ways of handling various file types and importing techniques4. Exploratory Data Analysis & Descriptive StatisticsUnderstanding patterns, summarizing data5. Probability Theory & Inferential StatisticsCore concepts of mastering statistical thinking and probability theory6. Data VisualizationPresentation of data using charts, graphs, and interactive visualizations7. Data Cleaning, Data Manipulation & Pre-processingGarbage in - Garbage out (Wrangling/Munging): Making the data ready to use in statistical models8. Predictive Modeling & Machine LearningSet of algorithms that use data to learn, generalize, and predict1. Overview of Data Science and Python Environment SetupOverview of Data ScienceIntroduction to Data ScienceComponents of Data ScienceVerticals influenced by Data ScienceData Science Use cases and Business ApplicationsLifecycle of Data Science ProjectPython Environment SetupIntroduction to Anaconda DistributionInstallation of Anaconda for PythonAnaconda Navigator and Jupyter NotebookMarkdown Introduction and ScriptingSpyder IDE Introduction and Features2. Introduction to Python ProgrammingVariables, Identifiers, and OperatorsVariable TypesStatements, Assignments, and ExpressionsArithmetic Operators and PrecedenceRelational OperatorsLogical OperatorsMembership OperatorsIterables / ContainersStringsListsTuplesSetsDictionariesConditionals and Loopsif elseWhile LoopFor LoopContinue, Break and PassNested LoopsList comprehensionsFunctionsBuilt-in FunctionsUser-defined functionNamespaces and ScopeRecursive FunctionsNested functionDefault and flexible argumentsLambda functionAnonymous function3. Data ImportingFlat-files dataExcel dataDatabases (MySQL, SQLite...etc)Statistical software data (SAS, SPSS, Stata...etc)web-based data (HTML, XML, JSON...etc)Cloud hosted data (Google Sheets)social media networks (Facebook Twitter Google sheets APIs)4. Data Cleaning, Data Manipulation & Pre-processingHandling errors, missing values, and outliersIrrelevant and inconsistent dataReshape data (adding, filtering, and merging)Rename columns and data type conversionFeature selection and feature scalinguseful Python packagesNumpyPandasScipy5. Exploratory Data Analysis & Descriptive StatisticsTypes of Variables & Scales of MeasurementQualitative/CategoricalNominalOrdinalQuantitative/NumericalDiscreteContinuousIntervalRatioMeasures of Central TendencyMean, median, mode,Measures of Variability & ShapeStandard deviation, variance, and Range, IQRSkewness & KurtosisUnivariate data analysisBivariate data analysisMultivariate Data analysis6. Probability Theory & Inferential StatisticsProbability & Probability DistributionsIntroduction to probabilityRelative Frequency and Cumulative FrequencyFrequencies of cross-tabulation or Contingency TablesProbabilities of 2 or more EventsConditional ProbabilityIndependent and Dependent EventsMutually Exclusive EventsBayes Theorembinomial distributionuniform distributionchi-squared distributionF distributionPoisson distributionStudent's t distributionnormal distributionSampling, Parameter Estimation & Statistical TestsSampling DistributionCentral Limit TheoremConfidence IntervalHypothesis Testingz-test, t-test, chi-squared test, ANOVAZ scores & P-ValuesCorrelation & Covariance7. Data VisualizationPlotting Charts and GraphicsScatterplotsBar Plots / Stacked bar chartPie ChartsBox PlotsHistogramsLine Graphsggplot2, lattice packagesMatplotlib & Seaborn packagesInteractive Data VisualizationPlot ly8. Statistical Modeling & Machine LearningRegressionSimple Linear RegressionMultiple Linear RegressionPolynomial regressionClassificationLogistic RegressionK-Nearest Neighbors (KNN)Support Vector MachinesDecision Trees, Random ForestNaive Bayes ClassifierClusteringK-Means ClusteringHierarchical clusteringDBSCAN clusteringAssociation Rule MiningAprioriMarket Basket AnalysisDimensionality ReductionPrincipal Component Analysis (PCA)Linear Discriminant Analysis (LDA)Ensemble MethodsBaggingBoosting9. End to End Capstone Project

Who this course is for:
Data Scientists and Machine Learning Engineers
Beginners & newbies aspiring for a career in Data Science and Machine Learning
Anyone Interested in Data Science and AI
Software Developers and Engineers
Data Analysts and Business Analysts
Researchers and Academics
IT and Data Professionals
Managers and Executives
Entrepreneurs and Startups



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Oracle Cards Reading For Psychic Development Course
Published 7/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 50.79 GB | Duration: 19h 27m

Learn oracle cards reading and develop your natural psychic abilities in powerful, fun and easy lessons



What you'll learn
Oracle cards reading
Psychic development
Starting your own oracle cards reading business
Journaling
Personal development


Requirements
No prior experience required


Description
This course is ideal for those who wish to learn oracle cards reading, whilst simultaneously developing their natural psychic abilities in a powerful way.Imagine learning and refining your skills in lighthearted daily lessons, that offer you tons of valuable guidance for highly rewarding personal growth.Abundance manifestation coaching forms a natural part of this course. Yet again, lessons are presented in a way that s soul caressing and empowering.Journaling throughout this coaching is highly recommended. However, even this approach is gentle, easy and kind on the mind.It is recommend you commence this course on a Monday. Lessons have been created to be worked through Mondays to Fridays - weekends off!!! For clearer understanding on this course s flow, watch the first few free lessons to make a clear decision if joining this coaching, in my coaching style sits comfortably with you.Knowledge I share with you, stems from my personal experience in:Oracle cards reading Tarot readingPsychic development Abundance manifestation Hypnotherapy NLPReiki mastersCrystal healingVision boardsAffirmationsAstrologyNumerologyInner peace development It would be my absolute pleasure to be your personal oracle cards reading and psychic development mentor, my beautiful cosmic sibling of unlimited eternal potential.Forever loveAdrian NelsonLife transformation coach

Overview
Section 1: WEEK ONE

Lecture 1 Hello And Welcome

Lecture 2 Day 1: Becoming Present

Lecture 3 Day 2: Intention

Lecture 4 Day 3: Pay Attention

Lecture 5 Day 4: Cleansing Your Deck

Lecture 6 Day 5: Drawing Cards

Section 2: WEEK TWO

Lecture 7 Day 6.1: Daily Lessons Flow

Lecture 8 Day 6.2: When the Storm Spirits Play

Lecture 9 Day 7: Let the Fire Dragons Sleep

Lecture 10 Day 8: When Coyote Calls Your Name

Lecture 11 Day 9: If the River Flows This Way

Lecture 12 Day 10: Let Your Dreams Be Woven True

Section 3: WEEK THREE

Lecture 13 Day 11: When You Feel the Magic Sing

Lecture 14 Day 12: If You Hear a Sasquatch Sigh

Lecture 15 Day 13: Could It Be a Dragonfly

Lecture 16 Day 14: When a Witch Must Drink Their Brew

Lecture 17 Day 15: All the Diamonds in the Sky

Section 4: WEEK FOUR

Lecture 18 Day 16: If the Fox Can t Find His Tail

Lecture 19 Day 17: If the Wild Ones Come with Sticks

Lecture 20 Day 18: Co-creating with Spirit

Lecture 21 Day 19: All the Willows Know Your Name

Lecture 22 Day 20: All the Magic Everywhere

Section 5: WEEK FIVE

Lecture 23 Day 21: In the Middle of the Bridge

Lecture 24 Day 22: Underneath the Lizard s Skin

Lecture 25 Day 23: Even Wisdom Needs to Rest

Lecture 26 Day 24: What the Sunbeams Have to Show

Lecture 27 Day 25: Only Weavers Know the Time

Section 6: WEEK SIX

Lecture 28 Day 26: What the Winter Spirits Know

Lecture 29 Day 27: Lemons to Lemonade

Lecture 30 Day 28: All the Shoes Fell from the Sky

Lecture 31 Day 29: Surfing Rainbows on the Moon

Lecture 32 Day 30: Painting Joy Across the Sky

Section 7: WEEK SEVEN

Lecture 33 Day 31: Weavers Share Their Magic Tea

Lecture 34 Day 32: Time to Feed the Hungry Heart

Lecture 35 Day 33: For the Wind That Blows Our Sails

Lecture 36 Day 34: When the Grit Became a Pearl

Lecture 37 Day 35: A Firebird Is Called to Soar

Section 8: WEEK EIGHT

Lecture 38 Day 36: All Is Calm upon These Shores

Lecture 39 Day 37: Beyond Your Fears the Weavers Dance

Lecture 40 Day 38: When the Birds Sing Grat-it-tude

Lecture 41 Day 39: When It s Time to Say Good-Bye

Lecture 42 Day 40: Peaceful Release

Section 9: WEEK NINE

Lecture 43 Day 41: If the Dogs Come Circling Round

Lecture 44 Day 42: When the Weavers Call Your Heart

Lecture 45 Day 43: All the Threads of Fate Must Bend

Lecture 46 Day 44: If a Cat Curls Round the Moon

Lecture 47 Day 45: Time to Dance Around the Sun

Section 10: WEEK TEN

Lecture 48 Day 46: If the Taste Is Sweet and Good

Lecture 49 Day 47: As the Weavers Way Is True

Lecture 50 Day 48: When the Weavers Built the Sun

Lecture 51 Day 49: Weavers Watch the Dragons Fly

Lecture 52 Day 50: Red Car Theory

Section 11: WEEK ELEVEN

Lecture 53 Day 51: When You re Neither Here nor There

Lecture 54 Day 52: When the Ones You Need Fly Close

Lecture 55 Day 53: Weavers Know That All Is God

Lecture 56 Day 54: Giving A Reading

Lecture 57 Day 55: Integration Guided Meditation

Section 12: ADDITIONAL COACHING

Lecture 58 Clairs

Lecture 59 Summary

Lecture 60 Marketing & Advertising

Lecture 61 Thank You

Lecture 62 Get Your Certificate

Oracle cards reading and psychic development


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Microwave/RF Engineering: Microwave/RF Design & Applications
Published 7/2024
Created by Hitesh Dholakiya
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 96 Lectures ( 18h 59m ) | Size: 20.5 GB

A complete guide to Microwave Basics, Transmission Lines, Smith Chart, Scattering Parameters, Waveguides, Diodes



What you'll learn:
Introduction to Microwave Fundamentals
Transmission Lines
Smith Chart
Scattering Parameters
Waveguides
Microwave Devices
Microwave Sources
Microwave Diodes

Requirements:
No Prior knowledge is needed

Description:
A Microwave/RF Engineering course delves into the principles and applications of microwave frequencies, typically ranging from 1 GHz to 300 GHz. Students explore the design, analysis, and case studies of microwave circuits and systems.The Microwave/RF Engineering course caters specifically to Engineers, Professionals, Researchers, and Enthusiasts keen on delving into Microwave/RF Systems. It stands out as a distinctive offering within the online learning landscape.Designed as an advanced program, this Microwave/RF Engineering course aims to give students an in-depth grasp of Microwave/RF systems, encompassing their principles, applications, and design intricacies. Microwave systems serve as pivotal components across diverse sectors such as aviation, defense, meteorology, and remote sensing, underscoring their significance. This course equips participants with a robust knowledge base by delving into theoretical underpinnings and contemporary advancements in Microwave Engineering.This playlist includes videos related to Microwave Engineering and covers all Microwave/RF Engineering fundamentals.Here Prof. Hitesh Dholakiya has covered all the topics of Microwave/RF with the following outlines:1. Introduction to Microwave Engineering:Microwave Frequency Bands, Microwave Applications, Advantages of Microwave Signals.2. Transmission Line:Basics of Transmission Line, Types of Transmission Line {Two Parallel Wire Transmission Line, Coaxial Transmission Line and Microstrip Transmission Line}, Transmission Line Equivalent Circuit, Transmission Line Equations, Parameters of Transmission Line {Propagation Constant, Attenuation Constant, Phase Constant, Characteristics Impedance, Reflection Coefficient, Transmittance Coefficient, VSWR, Standing Patter, Input Impedance}, Generation of Phase Delay in Transmission Line, Examples on Transmission Line, Transmission Line Parameters, Impedance matching of Transmission Line, Losses in Transmission Line.3. Smith Chart:Basics of Smith Chart, Mathematics of Smith Chart, Examples on Smith Chart, Parameters of Smith chart like VSWR, Reflection Coefficient, Load Impedance, Input Impedance, Line Impedance, Vmax and Vmin location, Admittance, Parallel stub Impedance matching, Series stub Impedance matching.4. Scattering Parameters:Basics of Scattering parameters, Properties of Scattering parameters, Scattering parameters for two port network, Scattering parameters for four-port network, Examples of Scattering parameters.5. Waveguide in Microwave:Basics of Waveguide, Parameters of Waveguide, Comparison of Waveguide and Transmission line, Why TEM Mode is not possible in rectangular Waveguide, Parallel plate waveguide, Rectangular Waveguide, Group velocity and phase velocity in rectangular Waveguide, Modes in Rectangular Waveguide, Degenerated Modes in Rectangular Waveguide, Dominant Modes if Waveguide, Cut off frequency in rectangular Waveguide, Circular Waveguide, Comparison of Rectangular Waveguide and Circular Waveguide, Examples of circular Waveguide, Comparison of circular waveguide and rectangular waveguide, Examples on waveguide.6. Microwave Devices:Waveguide Discontinuities, Coupling Mechanisms in Waveguides, Waveguide Attenuators, Waveguide Phase Shifters, Isolator in Microwave, Waveguide Gyrators, Circulator in Microwave, Examples on Circulators in Microwave, Directional Coupler in Microwave, Examples of directional couplers in Microwave, Two holes directional coupler in Microwave, E plane Tee, H plane Tee, Magic Tee, Hybrid Ring or Rat Race coupler.7. Microwave sources:Reflex Klystron, Two cavity Klystron amplifier, Comparison of Reflex klystron and two cavity klystron, Magnetron Oscillator, Travelling wave tube, Parametric Amplifier, MASER - Microwave Amplification Stimulated Emission Radiation, Cavity Resonator, Limitations of conventional tubes over microwave tubes.8. Microwave Diodes:Schottky Diode, Gunn Diode, Varactor Diode, TRAPATT Diode, Tunnel Diode, IMPATT Diode, BARITT Diode, PIN Diode.9. Microwave Measurement:EMI, EMC, Power Measurement {Bolometer}, Attenuation Measurement {Power Ratio Method}, Phase Shift Measurement, VSWR Measurement, Impedance Measurement, Quality Factor Measurement.I'll see you in the course! You're going to love it!Thank You


Who this course is for:
Students (Engineering, Diploma, Science)
Engineering students specializing in electrical, electronic, or communication engineering
Professionals working in industries such as defense, aerospace, and telecommunications
Researchers and scientists interested in advancing their knowledge of Microwave Systems
Individuals seeking to transition into Microwave/RF or related fields
Anyone with a keen interest in understanding the principles and applications of Microwave


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CASP+ (CAS-004) Complete Course & Full-Length Practice Exam
Last updated 6/2024
Duration: 31h28m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 28.4 GB
Genre: eLearning | Language: English

Pass the CompTIA Advanced Security Practitioner (CAS-004) exam on your 1st attempt, includes full-length practice exam!



What you'll learn
Take and pass the CompTIA Advanced Security Practitioner+ (CASP+) (CAS-004) certification exam
Understand security architecture and operations concepts, techniques, and requirements
Explain risk analysis by interpreting trending data and indicators of compromise
Select appropriate cyber security controls in response to a given threat or scenario


Requirements
You should have a solid understanding of networks and network security
Reviewed the concepts from the CompTIA Network+, Security+, CySA+, CompTIA PenTest+ objectives


Description
*** Taught by a Best Selling IT Certification


Homepage

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Master Urban Environments in Blender
Cov Phillips | Duration: 29 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 144 GB | Language: English

Your all-in-one course to create epic city environments in Blender.

Have you ever tried to build an entire urban environment in 3D?

Creating buildings, adding props and filling the city streets with life? That can be an incredibly overwhelming task, but such a cool project! But it s hard to find an all-in-one resource that teaches you to create exactly that, step by step.

That is why we created Master Urban Environments in Blender.

This course aims to cover everything that you can think of, to help you create all the city environments you can imagine. By the end of the course, you will have built your own urban scene in Blender, full of details that convey a unique mood.

This course is taught in a way that beginners can jump right in, and experienced artists will still gain vital and exciting new creative skills.


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