Workshop on Basics of AI/ML
A 3-Day Workshop for First Year Students covering Artificial Intelligence, Machine Learning, Generative AI Tools, Prompting Techniques and Basic AI/ML Applications
Workshop Overview
The fundamental aim of this workshop was to equip participants with practical experience in Artificial Intelligence and Machine Learning concepts, generative AI tools, prompting techniques, and basic AI/ML applications.
Each day featured a comprehensive blend of theoretical knowledge and practical activities tailored for the students. A total of 70 students benefitted immensely from this workshop.
The workshop provided students with opportunities to explore AI/ML concepts, practical coding, generative AI tools, prompting techniques and basic applications through a blend of theory and hands-on activities.
Objectives of the Workshop
Know What AI/ML Is
Learn what Artificial Intelligence and Machine Learning mean, and see how they are used in daily life, such as Google Maps, YouTube suggestions or Alexa.
Learn the Basics
Understand simple ideas like data, algorithms, and how machines can “learn” from examples.
Try It Yourself
Perform small hands-on activities with Python and simple ML tasks to build confidence in coding and experimentation.
Hands-on Practice
Gain hands-on practice with Google Colab, Jupyter Notebook and ChatGPT.
Think Smart
Practice solving small problems step by step, and learn how to use logic and data to find answers.
Connect with Your Studies
See how the workshop links to the diploma syllabus and how it will help in future labs, projects and exams.
Get Inspired
Explore real-world uses of AI/ML and career opportunities to stay motivated to learn more in the coming semesters.
Tools & Technologies Explored
Google Colab
- Write and run Python code in the cloud without installation.
- Use notebooks for experiments with data and ML models.
- Upload datasets such as CSV and Excel files and analyze them.
- Run simple machine learning tasks such as classification and prediction.
- Share notebooks easily with classmates or teachers.
Jupyter Notebook
- Create interactive notebooks on a computer.
- Write code and explanations together using code and text.
- Visualize data using graphs and charts.
- Perform step-by-step debugging and testing of Python programs.
- Save notebooks for assignments and projects.
ChatGPT
- Understand how AI chatbots work.
- Use ChatGPT to explain concepts in simple language.
- Generate ideas for projects, assignments or reports.
- Practice prompts and learn to ask clear questions.
- Explore conversational AI for learning and problem-solving.
Core AI/ML Learning Areas
Workshop Impact
The workshop also highlighted the relevance of AI/ML to the diploma syllabus, future laboratory work, projects, examinations and career opportunities.
Workshop Information
Event Gallery
Building the Foundation for AI/ML Learning
The 3-day workshop provided First Year students with an introduction to Artificial Intelligence and Machine Learning through a combination of theoretical knowledge and practical activities. The exposure to Python, Google Colab, Jupyter Notebook, ChatGPT and prompting techniques created opportunities for students to experiment, solve problems and explore real-world AI/ML applications.
The department is optimistic that this endeavour will significantly advance the students’ skills and practical expertise in the times ahead.
