AI has revolutionized our world, and our work. LLM’s such as ChatGPT burst onto the scene in 2022 and smashed our conception of what is possible.
Now AI is everywhere, from development productivity tools such as CoPilot to cloud modules that provide natural language and non-structured data analysis.
In this seminar, not dedicated to data scientists, we’ll try to answer these questions
How does it work? What advancements in AI have led to this revolution?
Prompt Engineering : How can I get the AI to do what I want?
How can I call ChatGPT as a service from my software? What can I do with it?
What AI powered tools and services are there that I can use?
Where can I use AI at work, and in my software?
Can I trust the responses I get from AI? Will AI replace my job?
Who Should Attend
Software developers curious about the role of AI in modern software
Prerequisites
Software development experience in a language such as Java, Python Node
Course Contents
Introduction to AI
Traditional AI and latest advancements
Importance and dangers of AI
AI Algorithms
Types of AI and Learning
Machine Learning
Structured and Unstructured Learning
Generative and predictive
Deep Learning
Neural Networks
LLMs
Machine Learning Techniques
A few Traditional AI Algorithms
Regression
K Closest Neighbors
Clustering and K-Means
AI Most Popular Tools Overview, AI IDE’s demonstrations
