Introduction to
Deep Learning and AI (1-day)

Understand how Deep Learning & AI work as the basis of all modern AI systems

Utilize and build upon existing “foundational” models using Hugging Face’s vast model library

Differentiate between classical machine learning and modern deep-learned AI, including when which models are preferred

Understand which challenges exist in building deep neural networks and what countermeasures are taken architecturally and by careful hyperparameter tuning

Effectively communicate the mechanisms, capabilities and limitations of modern deep learned AI systems to non-technical stakeholders

Build your own dense neural networks using Tensorflow/Keras

You want to understand how modern AI works

You are looking for a general introduction into Deep Learning & AI without going into too much technical depth of each relevant AI architecture

You are interested in implementing and adopting out-of-the-box AI models

You are a developer or product owner that wants to understand the fundamentals of AI so you can better communicate and collaborate with AI Engineering teams

You are looking for a non-technical course for AI strategy or product management (you may be interested Certified Analytics Translation or Analytics for Executives)

You are looking for a technical deep dive into a specific AI domain such as specific computer vision or natural language processing architectures (you may be interested in: Deep Learning & AI for Computer Vision or Deep Learning & AI for Natural Language Processing)

You are interested in Building LLM Applications

You are interested in productionizing your existing AI/ML models (you may be interested in Production-Ready Machine Learning or MLOps for Azure, GCP, or AWS)

All literature and course materials are included in the price.

Information on the software and tooling will be shared before the start date.

This is a technical course involving some extent of programming. You will need a laptop.

Online courses are delivered via Zoom or Microsoft Teams.