




Next Class @Plug and Play. Sign up, you will get first class FREE!
Deep Learning class Aug 24th 9:30-10:30pm click here
Sample Projects :
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Deep Learning ------ Pedestrian Detection GitHub Link Youtube Link
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Deep Learning ------ Intrusion Detection GitHub Link
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FaceNet ------ Facial Detection GitHub Link Youtube Link
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AGV2000------Self-driving With LPCNOD Control GitHub Link Youtube Link
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Deep Learning ------ Hand Written Digital Recognition GitHub Link
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Self-Driving ------ LSM & Laser Sensors for Self-Driving GitHub Link
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AGV4000 ------ TX2 Cloning Procedure GitHub Link
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AGV4000 ------ AGV WEBSVR GitHub Link Youtube Link

2021
From May to August
Rolling Enrollment
Any Time with proper preparation
Our professional engineers and talents are coming from around globe, including:
1. Boston University
2. Carnegie Mellon University
3. Case Western Reserve University
4. Central Michigan University
5. Columbia University
6. Emlyon Business School (France)
7. Illinois Wesleyan University
8. New York University
9. Penn State University
10. San Francisco State University
11. San Jose State University
12. Santa Clara University
13. Syracuse University
Don't forget to contact us for the PROMOTION CODE!
CONTACT US : (650)400-1116
14. University of California, Irvine
15. University of California, LA
16. University of Florida
17. University of Michigan
18. University of Pittsburgh
19. University of Southampton (UK)
20. University of South California
21. De Anza College
22. Foothill College
We Offer The Following Training Options
Deep Learning
Tensor flow, python implementation of deep learning algorithms, hands-on assignment and projects, 2D convolution kernel design, Laplace of Gaussian (LoG), feed-forward fully connected feed-forward neural networks, LeNet, OpenCV plus Tensor Flow for video/imaging recognitions.
Advanced Deep Learning
Advanced Deep learning as deep structured learning or hierarchical learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.
Full Stack Embedded Software Engineering
Full Stack DeveloperEmbedded Software Engineering is the process of controlling various devices and machines that are different from traditional computers, using software engineering. Integrating software engineering with non-computer devices leads to the formation of embedded systems.

IP 520

IP 510
Machine Learning
Machine learning and statistical pattern recognition including supervised learning, e.g., generative vs. discriminative learning, parametric vs. non-parametric learning, neural networks, support vector machines; unsupervised learning e.g., clustering, dimensionality reduction, kernel methods and reinforcement learning and adaptive control, also recent applications in robotic control and autonomous navigation, OpenCV and Tensorflow Hands-on labs.

IP 522

IP 530
AI
Artificial Intelligence is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. It is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving"

IP 540

IP 550

IP 560

IP 570
Industrial IoT
ARM embedded system platform, Nvidia Tx1/2, Linux OS porting, bootloader, make menuconfig, I2C, SPI, UART, GPIO, PWM, ADC device drivers, industrial Internet of Things (IoT), sensors (optic encoder, ultra-sound, magnetic compass), motor drive interface for IoT and self-driving applications.
Network Security
Network security consists of the policies and practices adopted to prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources. Network security involves the authorization of access to data in a network, which is controlled by the network administrator.
Marketing
Marketing is the study and the management of exchange relationships. Marketing is the business process of creating relationships with and satisfying customers. With its focus on the customer, marketing is one of the premier components of business management.

IP 522

IP 580
Embedded Edge AI Computing
(July 2021 On Going!)
Embedded Edge AI computing, Nividia Jetson NANO and Tx2; OpenCV, Python, TF, Pytorch for Deep Learning, IP video streaming, PTZ CAM control, and yolo4; TF Program/performance profiling, Hardware Architecture, GPU and its optimization; Cuda Programming and debugging tools. Unity AI platform, C# and interface to TF and other Deep Learning package. Mathematical foundation in Deep Reinforcement Learning.
NOW!!!
Advanced Deep Learning
Advanced Deep learning as deep structured learning or hierarchical learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised.
What Makes Us Unique?
03
01
Expert Faculty at Silicon Valley with Rich Professional Experience
Meet your instructors from the Silicon Valley with years of professional working experiences.
02
San Jose. Right at the Center of Silicon Vally
Startup your alumni's networking among the world's technology center
Internship with hands-on projects
Learn while you are doing real industrial projects
04
Career Startup Mentor and Guidance
Obtain internship opportunities from us and expand your career path
05
Complete a Professional Training in 10 Weeks and beyond
Become professionals and get ready to be hired via 10-week training