Boot Camp: Hand-on Real Industrial Machine Learning / AI Project

$400.00

SKU: 002-2022-1 Category: Tags: , , , ,

Description

Introduction:

You might hear that FANG (Facebook, Amazon, Apple, Netflix, and Google) pays $140k+ annual compensation for an entry level Software/Machine Learning Engineer. You also might have taken Python and machine learning courses, have been practicing LeetCode, and have worked on online tutorials. But you still have no interviews or fail in interviews. The reason is that you have not enough hands-on real project experiences and lack of project stories to confidently share in interviews. The goal of this boot camp is to help you to gain experiences and confidence through a real Zerobox project and the day-to-day whole lifecycle of real-world machine learning engineering. This boot camp will guide you to work on a real Object Detection machine learning project from Zerobox. You will also learn the whole machine learning application development life cycle from setting up the environment to developing a machine learning based application with programming in Python.

Registration Link: [TO BE ADDED]

Content:

  • Overview of Machine Learning and Object Detection
    • Overview of Machine Learning, Deep Learning, Object Detection
    • History and Theory 
    • Object Detection Real Industry Application Examples
    • YOLO (You Only Look Once) Real-time Object Detection Model
    • Numpy, Scipy, Pandas, YOLO v5, OpenCV
  • Hands-on Real Industrial Project from Zerobox: Build a Real-world Usable Custom Drinkware Detection System:
    • Set up professional development environment
      • Setup PyCharm, remote debug with GPU servers, GitHub, virtual environments, and python libraries
    • Prepare Dataset
    • Train
    • Plot and analysis results
    • Tune Hyperparameters
    • Improve Dataset
  • Q&A and Career Suggestions:
    • Manage your GitHub/LinkedIn/AngelList profiles, etc.
    • Where to find jobs 
    • How to prepare interviews

Instructor: Jack Kuang, MSc

Jack Kuang is currently working as a researcher in Computer Vision at University of Alberta. He also has more than 6 years of experience in software development and project management. Zijian Kuang has been studying AI and machine learning for more than 3 years and currently working on his research topics in computer vision at University of Alberta.

Highlights:

  1. Earn a shareable certificate if passing final exam
  2. No prior experience required
  3. Reference support
  4. Help on Troubleshooting
  5. Career mentorship 
  6. Join and connect with the local AI community
  7. Access to course recording, no worries if you need to miss a day
  8. Study anywhere through Zoom

Audience: Who targets to find a job in FANG

Prerequisites: major in engineering / science or familiar with coding

Required Commitment: 3 hours for lecture + 6 hours for assignments every week

Skill Level: Beginner / Intermediate

Location: Online (Zoom Meeting link will be sent by email after registration)

Language: English

Tuition Fee: $400 for one student or $600 for two students together

Organizers: Zerobox, Alberta Artificial Intelligence Association (AlbertaAI www.albertaai.org)

Certificate: You will receive a certificate from Zerobox and AlbertaAI if you pass the final evaluation (need to use the same name for registration and certificate)

Requirement: Use your own personal computer for this boot camp

Date & Time:

Class ID Date Time
002-2022-1 Jan 9-30, 2022 Sundays, 13pm-16pm MT

 

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