3D Interactions and Navigation

Rated 2.9 out of 5

Welcome to 3D Interactions and Navigation the third course in the Unity Certified Programmer Specialization from Unity Technologies.
This course will help you prepare for the Unity Certified Programmer exam the professional certification for entry to mid-level Unity programmers. Unity is used to create real-time 3D applications for many industries including video games automotive film training and more. In this course you will be challenged to solve realistic Unity programming problems that are aligned to topics covered on the exam.

In the third course you will start development on a new 3D application: Stealth. In this application a 3D stealth-style game the user guides a 3D character through a maze-like environment filled with hazards in an attempt to avoid detection. In implementing this application you will review and practice many of the skills covered in the exam including setting up navigation meshes and agents working with 3D character animation scripting camera movement and more.

This is an intermediate course intended for people who are ready for their first paying roles as Unity programmers or enthusiasts who would like to verify their skills against a professional standard. To succeed you should have at least 1-2 years of experience programming interactive applications in Unity. You should be proficient at programming in the C# language and familiar with Unity's scripting APIs. You should have experience in the full product development lifecycle from concept to launch (and beyond). And you should understand multi-platform development including deploying applications to XR (AR and VR) platforms.

3 hours to complete
Agent Navigation
Welcome to the third course in the Unity Certified Programmer exam preparation series. For the first week of this course you'll begin to build out the Stealth game. It's a third-person 3D game with stealth mechanics and the first thing you'll do is implement the navigation of the enemy a robot sentry.
6 videos (Total 30 min) 5 readings 1 quiz

5 hours to complete
Character Animation and Camera Control
The enemy agent can now move around the level but we need to let our a player character or avatar move. In this week's lessons you'll implement character animation and a sophisticated camera system to track it.
5 videos (Total 37 min) 5 readings 2 quizzes

3 hours to complete
Environmental Interactions
Next you'll create a set of environmental interactions that will give context to the character and enemy movement and help complete the core interaction loop for the Stealth game.
3 videos (Total 31 min) 2 readings 1 quiz

3 hours to complete
2D Overlays: Mini-Map
Finally for this course you'll give the player the ability to look beyond what the main camera shows by creating a mini-map that renders in a corner of the screen. Your work on this mini-map will be reviewed by your peers for your final graded assessment of the course.
3 videos (Total 18 min) 3 readings 1 quiz

Tham gia đánh giá khóa học

Nếu bạn đã học qua khóa học này thì mời bạn tham gia đóng góp ý kiến và đánh giá để cộng đồng bạn học có thêm thông tin tham khảo.

Cung cấp bởi: Coursera /  Unity

Thời lượng: 13 giờ
Ngôn ngữ giảng dạy: Tiếng Anh
Chi phí: Miễn phí / 0
Đối tượng: Intermediate

Thông tin về nhà cung cấp

Coursera (/ kərˈsɛrə /) là một nền tảng học tập trực tuyến toàn cầu được thành lập vào năm 2012 bởi 2 giáo sư khoa học máy tính của đại học Stanford là Andrew NgDaphne Koller, nền tảng này cung cấp các khóa học trực tuyến (MOOC) cho cộng đồng người học online.

Coursera hợp tác với các trường đại học danh tiếng tại Bắc Mỹ và trên khắp thế giới, cùng với nhiều tổ chức khác để cung cấp các khóa học trực tuyến chất lượng, theo chuyên ngành và được cấp chứng chỉ trong nhiều lĩnh vực như kỹ thuật, khoa học dữ liệu, học máy, toán học, kinh doanh, khoa học máy tính, tiếp thị kỹ thuật số, nhân văn, y học, sinh học, khoa học xã hội , và nhiều ngành khác.

Các khóa học cùng chủ đề

Visual Perception for Self-Driving Cars

This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the...

Motion Planning for Self-Driving Cars

This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be...

Capstone: Autonomous Runway Detection for IoT

This capstone project course ties together the knowledge from three previous courses in IoT though embedded systems: Development of Real-Time Systems Web Connectivity & Security and Embedded Hardware and Operating...

Leave a Reply

Your email address will not be published. Required fields are marked *

Scroll to Top