Defining Quality AI Solutions

The field of AI is quite different from traditional IT, as an AI system is driven by a probabilistic core. Therefore, for many experienced IT professionals, understanding AI is a challenge. 

And while implementation is usually handled by well-educated AI engineers and data scientists, they rarely understand your requirements the way you do, and often tend to gravitate to technology demonstration when left without input.

It takes years to understand AI at the level of AI developers. However this course can teach you enough AI to define necessary requirements and guardrail.

Like any training by business Abstraction, this course is very practical and focused on your current needs.

Training schedule

While a course is always custimised to your needs, the following is used as the starting point for custiomisation:

Day1: Overview of AI 

Attendance of everyone is expected, inclluding management/executives

• Understanding modern AI

• Generative AI revolution

• Lab: running AI prompts

• Graph analytics overview

• Lab: experiementing with graph analytics

Day 2: Graph Schema Definition

Attendance of everyone is expected, management/executives optional

• Graph database schema (customised to fit the client's platform)

• Lab: modelling 

Day 3: Graph queries

Mostly for technical staff, and hands-on analysts. 

• Introduction to query language: navigation and pattern-matching

• Lab: running basic queries

• Defining models for queries

• Lab: review and optimise the model produced on Day 2. Write queries. 

Day 4: Using graph data programmatically