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Metaverse: Avatars, NFTs, Artyfact Fi, GAN-Gough & Open GL

Metaverse- How to build digital twins, deep fakes, meta stack, Crypto- punks & buying of virtual Land assets using NFTs
4.4
4.4/5
(28 reviews)
8,337 students
Created by

9.2

CourseMarks Score®

10.0

Freshness

7.8

Feedback

9.2

Content

Platform: Udemy
Video: 3h 0m
Language: English
Next start: On Demand

Top Metaverse courses:

Detailed Analysis

CourseMarks Score®

9.2 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 5/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.8 / 10
We analyzed factors such as the rating (4.4/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.2 / 10
Video Score: 8.0 / 10
The course includes 3h 0m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

12 articles.
20 resources.
0 exercise.
0 test.

Table of contents

Description

Metaverse is a simulated digital environment that uses augmented reality (AR), virtual reality (VR), and blockchain, along with concepts from social media, to create spaces for rich user interaction mimicking the real world. It will allow people to showcase digital forms of art and property, and NFTs will allow them to put a price on that content with proof of ownership.
This course is designed meticulously to impart to learners the very concept of the metaverse and its implementation in the virtual domain. To build a foundation first, it would be explained how early virtual worlds were owned and controlled by companies whereas metaverse is a fully decentralized concept with some or all components of metaverse built on blockchain technology.
Representing real-world economies in a virtual world, transacting them in the virtual world, and then bringing them back into the real world is also emphasized in this course.
This course covers topics ranging from entering metaverse using DECENTRALAND and SANDBOX to acquire virtual spaces using NFTs. You would be exposed to create your own avatars in the metaverse, spatial audio- video immersive environment creation and how to use ownership, agency, co- location and external experience for the metaverse embodiment. 
This course is a complete package and shall cover every aspect related to the metaverse. The topics include are mentioned as under;

1. An insight into Metaverse.
2. Fundamentals of Metaverse Horizon.
3. Virtual Holographic Representations using Unreal Engines.
4. Metaverse: Building Blocks to Full Stack Development.
5. Creating Customized Virtual Spaces including home, office, social gathering, virtual meetings and amusement activities etc.
6. Building Metaverse Next- stage Apps for content creation.
7. NFTs fueling Metaverse.
8. Learn to invest in meta verse using NFTs.
9. Unity and Unreal Engines for diverse applications in the metaverse.
10. Decentraland and Sandbox as 3D Virtual Markets.
11. Open Metaverse.
12. Future Trends in Metaverse.

You will learn

✓ Metaverse: Fundamental Concepts from Virtual Reality to Virtual Twins
✓ Metaverse: Full Stack Development including Avatars, Teleporting, Interoperability & Privacy
✓ Metaverse: How to build Metaverse (Horizon Marketplace) landscape, Entertainment, Gaming and Social Events
✓ Metaverse: How to invest in metaverse assets using NFTs
✓ Metaverse: Learn about the Cambria, pancake optics and Project Nazare (Metaverse)
✓ Drills with solutions on Metaverse Concepts
✓ Role of NFTs in Metaverse

Requirements

• No programming experience is required. You shall learn everything you need to know.

This course is for

• Beginners curious about Metaverse concept, implications and its future
• Beginners interested in developing full stack metaverse
• Students and Researchers interested in buying virtual metaverse spaces using NFTs

How much does the Metaverse: Avatars, NFTs, Artyfact Fi, GAN-Gough & Open GL course cost? Is it worth it?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.

Does the Metaverse: Avatars, NFTs, Artyfact Fi, GAN-Gough & Open GL course have a money back guarantee or refund policy?

YES, Metaverse: Avatars, NFTs, Artyfact Fi, GAN-Gough & Open GL has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Metaverse: Avatars, NFTs, Artyfact Fi, GAN-Gough & Open GL course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who is the instructor? Is Junaid Zafar a SCAM or a TRUSTED instructor?

Junaid Zafar has created 9 courses that got 405 reviews which are generally positive. Junaid Zafar has taught 42,687 students and received a 4.0 average review out of 405 reviews. Depending on the information available, Junaid Zafar is a TRUSTED instructor.
Dr. Engr. Junaid Zafar- Academician with 20 years experience
Prof. Dr. Engr. Junaid Zafar is currently working as Chairperson in Department of Electrical and Computer Engineering, Government College University, Lahore. He is also Director, Office of Research, innovation and Commercialization. He has completed his PhD in Electrical and Electronics Engineering, The University of Manchester University, UK, and BSc in Electrical Engineering from U.E.T Lahore. He is Academic visitor to the University of Cambridge, UK, MMU, UK and National University of Ireland. He remained Dual Degree programme coordinator at the Lancaster University, UK. Dr. Engr. Junaid Zafar received Roll of Honors for National Education Commission and Outstanding Teacher/ Researcher Awards from the Higher Education Commission, Pakistan. He is leading the macine learning and Artificial Intelligence centre with GC University, Lahore. He is member of Universal Association of Electronics & Computer Engineers, International Association of Computer Science & Information, and member of International Association of Engineers, IAENG Society of Artificial Intelligence, IAENG Society of Electrical Engineering, Science & Engineering Institute, IAENG Society of Imaging Engineering, Institute of Research Engineers & Doctors, and IAENG Society of Wireless Networks. He is member of editorial board in Journal of Future Technologies & Communications, Technical Programme committee, Frontiers of Information & Technologies, and Technical Programme Committee, Multi- Conference on Sciences & Technology. He is also serving as reviewer for IEEE Transactions on Microwave Theory & Techniques, IEEE Transactions on Antennas, IEEE Antenna & Wireless Propagation Letters, IEEE Transactions on Plasma Science, IEEE Transactions on Magnetics, International Journal of Electronics, and IET Antennas & Radio- wave Propagation. He has so far taught over twenty diffrent online courses based on outcome based student oriented models. He has also supervised more than 100 Masters/ MPhil thesis. He has published over 50 high impact factor publications and presented his work at several national and international renowned platforms.

9.2

CourseMarks Score®

10.0

Freshness

7.8

Feedback

9.2

Content

Platform: Udemy
Video: 3h 0m
Language: English
Next start: On Demand

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