Saqlain Gilani Computer Programming
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I have my PhD in Artificial Intelligence from a reputable Chinese University. I have worked for the companies such as Huawei Chengdu, China, Microsoft XiaoIce Beijing as Data Analyst and Software Intern. I also have taught CS at University level at Chinese top universities such as Sichuan Normal University, Chengdu, NeuSoft University Chengdu, China etc. As a Professional in my field, I make sure that the knowledge I deliver is presented in the easiest and smoothest way possible which leads to an astounding learning environment. My experience as a teacher and educationist instils into my students, the critical thinking, curiosity and passion for learning more. I'll be thrilled to provide my expertise in CS related subjects and to have you as a curious learner. saqlaindotncepuatgmaildotcom

Subjects

  • Computer Science Expert

  • Machine Learning Doctorate/PhD

  • Data Science Grade 10-Doctorate/PhD

  • IT (Information Technology) Doctorate/PhD

  • Computer Programing Doctorate/PhD

Experience

  • Research Assistant (Jan, 2019–Aug, 2021) at North China electric power university, Beijing
    Leading the team of researchers in Machine Learning projects

Education

  • PhD In Artificial Intelligence (Aug, 2016–Jul, 2023) from North China electric power university, Beijing
  • Masters In Software Engineering (Aug, 2013–Jul, 2016) from University of Electronic Science and Technology of China - UESTC

Fee details

    Rs4,000/day (US$14.35/day)

    4000PKR/ class is the minimum and rhe fee can vary based on number of hours

Courses offered

  • Introduction to Machine Learning

    • US$50
    • Duration: 60 days
    • Delivery mode: Online
    • Group size: 4
    • Instruction language: English
    • Certificate provided: Yes
    This course offers introduction to machine learning from scratch zero. It doesn't necessarily require any prior knowledge of machine learning or Python programming. The first half of the course will focus on introducing you to Python programming (if you have no background in it). The second half of the course will teach you fundamental concepts and algorithms in ML with open source datasets. In this course, you will be able to work on your own Python/ML projects that will not only boost your knowledge/Portfolio as an AI practitioner but will also equip you with current industry progress regarding the advances in AI. The course workflow is flexible and will be designed according to the student's choice and based on what he/she wants to learn.

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