Artificial Intelligence (AI) - An Introductory Course

Talentsburg

Freemium

Talentsburg facilitates the connection between recruiters and talent by means of a visual recruiting process and AI-driven job matching.

Higher education assessing in the age of AI

Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.

MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services

Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.

The Ethics of AI

Study the ethical consequences of AI development and implementation, emphasizing generative AI, AI governance, and pragmatic ethical decision-making in practical contexts.

Data Science with Python: Introduction

In this course, students gain the skills necessary to use Python for data science, machine learning, and foundational applications of artificial intelligence.

Applications of TinyML

Gain an extensive understanding of TinyML applications, fundamental principles, and the ethical development of artificial intelligence.

Computer Science and Programming: Introduction

This training offers essential knowledge in the domains of data, computation, cryptography, and programming, with a focus on the Ruby on Rails framework.

Assessment Design with AI

In order to balance or improve the integration of AI in education, this course examines conversational AI technologies and provides evaluation designs.

ML Use Cases in Finance

Learn to apply advanced machine learning and deep learning models to real-world challenges by immersing yourself in the cutting-edge world of AI-powered finance and insurance.

Unsupervised, Deep and Reinforcement Learning: Introduction

Acquire an extensive understanding of reinforcement learning, deep neural networks, clustering, and dimensionality reduction to effectively address real-world machine learning challenges.