- Leveraging Pre-Trained Models
- Deploying An Edge App
- The Model Optimizer
- The Inference Engine
Intermediate
Online
3 Months
Quick facts
particular | details | |||
---|---|---|---|---|
Collaborators
Intel
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10 Hours Per Week
|
Course overview
By bringing quick and smart behaviour to the required locations, Edge AI applications are revolutionising the IoT industry now. The Nanodegree program Intel® Edge AI for IoT Developers certification by Udacity will teach the aspirants how to build and optimise Edge AI systems using the Intel® Distribution of OpenVino™ Toolkit. They will learn how to construct efficient computer vision and deep learning inference applications, and execute pre-trained deep learning models for computer vision on-premise. They will become adept at using the Intel® DevCloud for the Edge to test model performance on different hardware types (FPGA, CPU, VPU, and Integrated GPU). They'll be able to employ software tools to refine deep learning models and thus enhance the performance of Edge AI systems.
The Intel® Edge AI for IoT Developers certification by Udacity is a 3-month programme. There will be 10 hours of class per week. Flexible learning is an advantage of this programme so that candidates can schedule their own study time. There will be a chat interface built within the classroom called Student Hub. Through Student Hub candidates can interact with each other. The Intel® Edge AI for IoT Developers certification course offers real-world industry-relevant projects that will help. candidates build their expertise in Artificial Intelligence and the Internet of Things.
The highlights
3 months programme
10 hours per week
Contents are co-created with Intel®
Certifications from Udacity
Program offerings
- Real world projects
- Project feedback from experienced reviewers
- Personal career coaching
- Resume service
- Interview preparation
- Github review
Course and certificate fees
certificate availability
certificate providing authority
Eligibility criteria
Experience
For appearance to this programme:
- Candidates should have intermediate programming knowledge in Python.
- He/ She should have experience in training and deploying deep learning models
- Candidates should be familiar with different DL layers and CNN-based architecture
- They should be familiar with command lines (bash terminal) and experience in using OpenCV
Certification Qualifying Details
To receive the certification for the Intel® Edge AI for IoT Developers online course, the candidates need to pay the fees, and complete all the 3 courses and the 3 projects.
What you will learn
After completing the Intel® Edge AI for IoT Developers certification syllabus, The candidates will gain insights and knowledge of the following:
- In-depth knowledge of Edge AI fundamentals with OpenVino™.
- Hardware for computer vision deep learning application deployment.
- Optimisation techniques and tools for deep learning application.
Who it is for
The Intel® Edge AI for IoT Developers online course is ideally best suited for people working as:
- Enterprise Developer
- Professional Developer
- Software Developer
- Computer Programmer
- Web Developer
- IoT Application Prototyper
- IoT System Prototypes
- Heterogenous Architect namely, Algorithm Developer, Solution Developer, Device Developer, Security Specialist, Solution Architect, Application Prototype.
Admission details
Filling the form
For applying to the Intel® Edge AI for IoT Developers certification course all candidates required to follow the steps given below here.
Step 1: Candidates visiting this programme must log on to
https://www.udacity.com/course/intel-edge-ai-for-iot-developers-nanodegree--nd131
Step 2: Then, click on ‘Enroll Now’ tab mentioned at the top of the page.
Step 3: See which payment plan you would prefer.
Step 4: You will get two options, one of them being ‘Quick Checkout’ (if you are not a regular visitor of Udacity) and ‘Returning Student’ (if you take courses from Udacity regularly).
Step 5: If you choose the first option, then you must log in through Google or Facebook.
Step 6: There will be an e-receipt showing the total amount inclusive of the base price and bundle discount.
Step 7: Thereafter you need to enter a coupon code if you have one. Else, click on the ‘Continue With Checkout’ option.
Step 6: Enter your billing details.
Step 7: You have access to the course once the transaction is complete.
The syllabus
Course 1: Edge AI Fundamentals with OpenVINO™
Course Project Deploy a People Counter App at the Edge
Course 2: Hardware for Computer Vision Deep Learning Application Deployment
Course Project Smart Queuing System
- Introduction to Hardware at the Edge
- Field Programmable Gate Arrays
- CPU and Integrated GPU
- Vision Processing Units
Course 3: Optimization Techniques and Tools for Computer Vision Deep Learning Applications
Course Project Computer Pointer Controller
- Introduction to Software Optimization
- Reducing Model Size
- Other Software Optimization Techniques
- Reducing Model Operations
Scholarship Details
Participants who are willing to apply for scholarship click on the respected URL i.e. https://udacity.zendesk.com/hc/en-us/categories/360002443511-Scholarship-Programs. This will lead the candidate to ‘Notify Me’ page. Fill in the necessary details and submit it. Once it is submitted, the candidates will start receiving information pertaining to upcoming scholarships that are uploaded on the website.
How it helps
The real-life projects will prepare the candidates to take on work in this field. The recruiters always look for a great portfolio. One of the major Intel® Edge AI for IoT Developers certification benefits is that along with the theoretical knowledge, the candidates will learn on the go with these real-life projects.
Along with the subject knowledge, they will thus become equipped at tackling real-life scenarios that can pop in their field.
Instructors
Mr Stewart Christie
Community Manager
Intel Corporation
Mr Michael Virgo
Manager
Udacity
Mr Soham Chatterjee
Researcher
Freelancer
Other Bachelors, Other Masters
Ms Vaidheeswaran Archana
Instructor
Freelancer
Other Bachelors
FAQs
The Intel® Edge AI for IoT Developers training course will require a period of three months to complete. Candidates should dedicatedly work for 10 hours per week.
The Intel® Edge AI for IoT Developers online course has been developed in a way that candidates need to complete three projects within 3 months. In case candidates are not successful in completing this then they will not be given the certificate of participation.
If the mentioned dates do not suit your availability, you can connect with the Administration of Udacity.
Once this programme is completed, candidates can go for Artificial Intelligence Nanodegree Programme and Self Driving Car Engineer Programme.
Candidates will require a system which will have 64-bit OS with 6th generation or above Intel processor. It should run either with Ubuntu or Win. Candidates have to install Intel’s Deep Learning Workbench and Intel Distribution of OpenVINO Toolkit.
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