What you’ll learn
- Skills that employers desire, helping you ace machine learning interview questions and land your dream job
- Discover new ways to use LLMs, including how to build your own chatbot
- Compare generative models, use FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques
- Go from zero to hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, unsupervised Machine Learning
- Use dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis
- Various ML modellings such as Supervised Machine Learning Modelling, Unsupervised Machine Learning Modelling, Reinforcement Machine Learning Modelling
Skills You'll Master
- Machine Learning
- Deep Learning
- LSTMs/GRUs
- TensorFlow
- Scikit-Learn
- Reinforcement Machine Learning Modelling
- LLMs
- LangChain
Program Curriculum and Components
AI : Big Data & AI
AI on the Cloud
AI in Banking
AI Exploring Feature Selection
AI Chatbots
AI : White Box XAI for AI Bias and Ethics
Essential ML : Machine Learning and Python
ML : Supervised Learning – Classification & Regression
ML :Unsupervised Learning – Detecting Patterns

ML : Dimensionality Reduction

ML : Visualising Data for Machine Learning

NLP : Natural Language Processing Using Python

Learning Projects

Modules

Group Learning

Reflective Practice

Career Guidance
Frequently Asked Questions
What is your online data science course about?
What are the prerequisites for this data science course?
How is this online data science course structured?
Our online data science course combines live online sessions, recorded lectures, ha personalised mentorship. The flexible format allows you to learn at your own pace.