Data & AI
- Home
- Programmes
- Data & AI
Overview
This course offers a comprehensive introduction to the world of Data and Artificial Intelligence (AI), exploring how data is collected, processed, and utilized to develop AI-driven solutions. Students will learn about the fundamental concepts of data science, machine learning, and AI, as well as the tools and techniques used to analyze data and build AI models. The course also covers the ethical, legal, and societal implications of AI, providing a well-rounded understanding of its impact on various industries.
Explore Job roles
¢3,500
AI Engineer
An AI Engineer is a skilled professional responsible for designing, developing, and deploying artificial intelligence solutions. They work closely with data scientists and engineers to build and implement machine learning models, natural language processing systems, and other AI applications.
- 3 modules
- 1month
¢3,500
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines and infrastructure. They ensure the efficient collection, storage, and processing of data to support AI and data analytics initiatives.
- 3 modules
- 1month
¢3,000
Azure Data Engineer
An Azure Data Engineer specializes in designing and implementing data solutions within the Microsoft Azure cloud platform. They leverage Azure data services to build data pipelines, extract insights, and support AI initiatives.
- 5 modules
- 6 weeks
¢3,000
Azure AI Engineer
As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI. Your responsibilities include participating in all phases of AI solutions development.
- 5 modules
- 6 weeks
¢3,200
Data Scientist
A Data Scientist is a professional who extracts insights and value from data. They use statistical methods, machine learning algorithms, and data visualization techniques to analyze data and solve complex problems.
- 6 modules
- 6 weeks
¢3,200
Database Administrator
A Database Administrator (DBA) is responsible for managing and maintaining databases. They ensure data integrity, security, and performance. DBAs often work with relational databases and NoSQL databases.
- 7 modules
- 6 weeks