TurinTech AI Lab

Add to Wishlist

From data to production ready AI model code

Enrolled: 154 students
Lectures: 22

Do you want your AI team to be better and faster at developing AI projects while writing production-quality code? Are you exploring a new career path in data science, or are you looking for peers with whom to work together and refine your skills in AI and coding?
This is the course for you! Even if you are from a business background, you will learn about the end-to-end AI development process to better collaborate with your technical colleagues.
In this 5-week course, we will take you through a range of lessons spanning from data wrangling to AI code optimisation. Designed by TurinTech’s researchers, the course brings together academic rigour with industry best practices.
As an added advantage, you will have the opportunity to try out TurinTech’s AI-powered code optimisation platform, evoML.

No prior knowledge of evoML is needed to complete this course.

Introduction to Machine Learning

1
Upstream: Data Gathering, Preparation
2
Learning: Supervised, Unsupervised, Reinforcement Learning & Time Series
3
Building: Model Training & Evaluation
4
Downstream: Model Deployment, Serving, Monitoring & Maintenance
5
Quiz: Machine Learning Life-Cycle
49 questions
6
Watch the Webinar video

Uncover Gems in your dataset with Feature Engineering

1
Introduction to Feature Engineering
2
Feature Improvement
3
Feature Generation
4
Feature Selection
5
Conclusion and References
6
Quiz: Basics of feature engineering
15 questions
7
Watch the Webinar video

Empower that model: a time-series tale

1
Introduction to forecasting
2
Forecasting with AR, MA and ARMA
3
Non-Stationary Series: SARIMA and Exponential Smoothing
4
Data Splitting and Leakage
5
Quiz
15 questions

Let your model speak via Explainability

1
Interpreting and Evaluating a Model
2
Explainability and Model Agnostic Methods
3
Explaining Neural Network Models
4
Using Explainability to Make Decisions
5
Quiz: Explainable AI

Automatic Code Optimisation of ML Models

1
Introduction to Efficient Code Design
2
Concept: Tracking ML Code Performance
3
Concept: Inference using the ONNX & TVM Framework
4
Quiz: Code Management and Deployment