AI and Machine Learning
Go from regression to neural networks, training and evaluating models on structured and unstructured data.
- Duration
- 16 weeks
- Format
- Hybrid
- Level
- Advanced
Course overview
Go from regression to neural networks, training and evaluating models on structured and unstructured data. The course is organised into 6 modules, each combining short lessons, exercises and a project task. [Editable overview copy.]
What you will learn
- Train and evaluate supervised models
- Choose features and avoid data leakage
- Build neural networks with a modern framework
- Work with text and image data
- Tune and compare model performance
- Package a model behind a simple API
Course curriculum
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Recap and quiz
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Recap and quiz
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Overview and setup
- Core concepts
- Guided walkthrough
- Hands-on exercise
- Module project
- Recap and quiz
Requirements
- Working knowledge of Python and basic statistics
- A laptop with at least 8 GB RAM
- Around 10–12 hours a week for lessons and projects
Who should enroll
- College students building practical skills
- Freshers preparing for their first role
- Working professionals who want to upskill
- Career switchers moving into ai and ml
Your instructor
Meera Krishnan
Data scientist and instructor
Meera works with Python, statistics and machine learning, and focuses on explaining the reasoning behind each technique. [Sample instructor profile — replace with verified details.]
Frequently asked questions
[Placeholder: access period, e.g. 12 months from purchase.]
[Placeholder: describe the course completion record, if offered.]
See our Refund Policy for eligibility. [Placeholder terms.]
Yes, through the course Q&A. Live sessions also include time for questions.
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