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AI Engineering
“What is AI?” and why this is a problematic question
High level AI domains
The AI learning vocabulary
LSTM and BERT at production execution speeds
The Pareto Principle for AI Engineering
How does an LSTM work?
What is a GRU?
AI Engineering through the lens of Systems Thinking
The anatomy of data stream processing
The basics of Deep Learning
Just enough math to understand how Deep Learning works
What is a convolution and why it matters for Deep Learning
CPU vs GPU and why it is such a big deal for AI Engineering in production
Validating AI software
Business & Careers
Psychological Safety for Knowledge Workers
Your work is not limited by a job description
Results oriented work environemnts and Remote by Default
The difficulty of selling AI
Career growth through problem solving
Grittiness is a powerful thing
Imposter Syndrome is real and it is critical to overcome it
The power of one-to-one communication
The upside-down pitch
Bias in AI is a threat to your business
Ambition is not fundamentally negative
Stop projecting and start empathising
5 things I learnt in my first 100 days at a startup
5 things I learnt in my second 100 days at a startup
Strategies to stay productive as an engineer
The magical mix of technical ability and interpersonal skills
The importance of feedback loops
The core of Systems Thinking
Production quality software
Docker patterns for development and production
Testing for AI Engineering
CI / CD for AI Engineering
Focus on writing better software not thon the language you are writing it in
Unit tests simply aren’t enough
