Artificial Intelligence

This explores the topics, technology and skills required to gain practice in the successful application of AI techniques to address key industry problems. AI Practitioners – Can contribute to the digital transformation of enterprises by leveraging their understanding on industry AI adoption patterns. Familiar with AI technologies such as natural language processing, machine learning, neural networks, virtual agents, and computer vision

Audience:

• Individuals with an active interest in applying for entry level jobs to work in AI related fields.

Prerequisite:

• Basic IT literacy skills
• Fundamental modern software concepts such as databases, parallel processing, searching, indexing
• Understanding that machine learning is not static programming

Key Features:

• Understand the evolution and relevance of AI in the world today.
• Analyze existing and future implementations of AI solutions across multiple industries Including automotive, education, policy, social media, government, consumer, and others.
• Understand AI technology building blocks, including natural language processing, machine and deep learning, neural networks, virtual agents, autonomics and computer vision.
• Explore opportunities brought by the intersection between human expertise and machine learning
• Gain a competitive edge using low-code cloudbased AI tools and pre-built machine learning algorithms.
• Develop a deeper understanding of machine learning techniques and the algorithms that power those systems.