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Design better digital products for creative problem solving.
Build real-world AI systems from neural networks to deployment. Master Python, TensorFlow and MLOps through hands-on projects designed.
Event information
Skills you'll gain
- Build and train neural networks from scratch in Python.
- Master TensorFlow, PyTorch and scikit-learn workflows.
- Fine-tune large language models and generative AI
- Build a career-ready portfolio of 8 deployed projects.
- Deploy machine learning models to production with MLOps
- Work with real datasets: cleaning, features and pipelines
- Evaluate models with the right metrics and validation
- Understand the math behind gradient descent and backprop
Event agenda
10:00am Foundations of Machine Learning
We kick off with problem-framing exercises: mapping user pain points, separating symptoms from causes, and writing sharp "How might we" statements your group will build on all morning.
10:45am Divergent thinking sprints
We kick off with problem-framing exercises: mapping user pain points, separating symptoms from causes, and writing sharp "How might we" statements your group will build on all morning.
11:15am Rapid prototyping & testing
We kick off with problem-framing exercises: mapping user pain points, separating symptoms from causes, and writing sharp "How might we" statements your group will build on all morning.
11:45am Showcase & next steps
We kick off with problem-framing exercises: mapping user pain points, separating symptoms from causes, and writing sharp "How might we" statements your group will build on all morning.
Speakers & facilitators
