Artifial Intellegence Training

Certificate of completion (supplied by PasarTrainer)

Training Material

Introduction
● Machine Learning
● What is data?
● The terminology of AI
● What makes an AI company?
● What machine learning can and cannot do
● More examples of what machine learning can and cannot do
● Non-technical explanation of deep learning

Whats Ai? - Session 1

Workflow of a machine learning project
● Workflow of a data science project
● Every job function needs to learn how to use data
● How to choose an AI project (Part 1)
● How to choose an AI project (Part 2)
● Working with an AI team
● Technical tools for AI teams (optional)

One Day 2 Session each Session will be Held on 2 Hours

Building Ai Projects - Session 2

Case study
● Example roles of an AI team
● AI Transformation Playbook
● AI pitfalls to avoid
● Taking your first step in AI
● Survey of major AI application areas (optional)
● Survey of major AI techniques (optional)

Building AI In Your Company - Session 3

A realistic view of AI
● Discrimination / Bias
● Adversarial attacks on AI
● Adverse uses of AI
● AI and developing economies
● AI and jobs
● Conclusion

Ai and Society - Session 4

This course provides knowledge and hands-on experience using AI.

What’s Covered in The Course:
● Introduction
● Why using AI
● Basic theory of AI
● How to build AI in company