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Professional Diploma in Machine Learning and Artificial Intelligence

The machine learning and artificial intelligence course typically covers the principles, algorithms, and techniques used in creating intelligent systems that can learn and make predictions or decisions based on data. The course would cover topics such as supervised and unsupervised learning, regression and classification models, deep learning, neural networks, reinforcement learning, and natural language processing.

5 ( 1 ratings ) 205 students enrolled
Reviewed on 2023-02-17 13:56:11 Last updated on 2024-04-24 17:58:49 English
What I will learn?

    Professional Diploma in Machine Learning and Artificial Intelligence is a premium programme offered by Pedagog, approved and awarded by European International University-Paris

    Course content:

    • Students would learn how to use popular machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch, and may gain practical experience in building and training machine learning models using real-world data sets.
    • The ethical and social implications of machine learning and artificial intelligence

    Students are required to complete Performance-based assessment task involving machine learning model development and evaluation and may gain experience in designing and implementing intelligent systems. 


    On successful completion of the course, the student will be awarded an Internationally accredited Diploma Certificate from EIU-PARIS, evidencing your competitive advantage locally and Internationally.

     

    THE DUAL CERTIFICATE is awarded by EIU-Paris (University) and Pedagog.

    Please Note: A Hard Copy of certificate from the university can be requested at an additional minimal fee, via e-mail to hello@pedagog.ac


Lessons for this course
1 Units
  •     Learning Material 2
  •     Assignment Outline 2
  •     Assignment Submission 35
Requirements
  • No Requirements
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Course Objective

The course would be geared towards students with a strong background in programming, mathematics, and statistics, and may prepare students for careers in data science, artificial intelligence, or software engineering.

Upon completion of the programme, graduates can pursue careers as data analysts, data scientists, database administrators, business intelligence analysts, and software developers in a wide range of industries, including finance, healthcare, technology, and government.

About the institution
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Advanced Solutions Technical Institute
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About institution

Authorised Partners

Dr. Ancil Peters (Executive Director)

Advanced Solutions Technical Institute

T: (868) 610-7500 | M: (868) 485-1835

E: ancil@astitnt.com, education@astitnt.com

www.astitnt.com

#46 Boundary Road, San Juan, Trinidad and Tobago.


EMMANUEL CARIBBEAN UNIVERSITY

mainoffice.ecu@gmail.com

(876) 630-7633 (876) 801-9312 (WhatsApp)

Unit 36, Blue Diamond Shopping Mall

Irinshore. Mintego Bay, St. James, Jamaica


JAMAICA THEOLOGICAL SEMINARY

14 - 16 West Avenue 

Constant Spring

Kingston 8 

Phone: (876)-969-8211

Email: admissions@jts.edu.jm 



Dr. Wayne Charles-Soverall

Address: Apt.5, # 53 Husbands Heights,

St. James,

Barbados

Telephone Number: 1 246 830 6509

Student feedback
Average rating
5

BF

Babajide Fakile


05:00:00 PM 2024-01-04

The course is very complete and the explanations are very good for cumbersome topics in particular for the probability and statistics section. However, it is so complete that for someone who went through a good business bachelor, or a STEM course, at least half of the course will be with little value added. For someone who has very weak mathematical and statistical background this course is fantastic, and I would absolutely recommend it. I think those topics should be on the appendix and instead bring the panda's section to an earlier and not appendix part of the course. The last case is the best, and even if someone with background could discuss some decisions, the explanation of the steps and the layout of the code is very step by step and beginner friendly. Overall the course is great for absolute beginners but not so much for people with quantitative background



$3000
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