Stanford University
April 22 to June 16, 2024
Code in Place is an introduction to programming course that covers the material from Stanford's CS106A Programming Methodologies. The class emphasizes the fundamentals of programming including: control flow, loops and conditionals, console programs with variables, graphics, lists and dictionaries. The course is taught in the Python programming language. To complete the course students must program a significant implementation in each of the following units:
IBM
January 10, 2024
applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models,
and realizing the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices.
DeepLearning.AI | Stanford Online
June 20, 2024
• Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn.
• Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
MathWorks | Training Services
February 8, 2025
Introduction to Matlab designed and developed by Renee Coetsee . This course aim to teach you the fundamentals of Matlab.
MathWorks | Training Services
February 16, 2025
basics of how to create, edit, and simulate models in Simulink®. Use block diagrams to represent real-world systems and simulate components and algorithms. Instructed by Alisha Schor
November 5, 2022
Part of the Google IT Support Professional Certificate
Outcome
● utilize best practices for choosing hardware, vendors, and services for your organization
● understand how the most common infrastructure services that keep an organization
running work, and how to manage infrastructure servers
● understand how to make the most of the cloud for your organization
● manage an organization’s computers and users using the directory services, Active
Directory, and OpenLDAP
● backup your organization’s data and know how to recover your IT infrastructure in the case of
a disaster
● utilize systems administration knowledge to plan and improve processes for IT environments
September 29, 2021
Part of the Google IT Support Professional Certificate
Outcomes ● understand how the binary system works
● assemble a computer from scratch
● choose and install an operating system on a computer
● understand what the Internet is, how it works, and the impact it has in the modern world
● learn how applications are created and how they work under the hood of a computer
● utilize common problem-solving methodologies and soft skills in an Information Technology setting
The American Center at U.S. Embassy Dhaka & Supported by Arduino Community Bangladesh
March 16 to March 20, 2021
This is a Fundamental course on 3D designing in Blender. It consists of creating low-poly and basic topology, and hands-on experience in Projects.