Course Overview
This hands-on course follows on from COMP 2853 - Introduction to Python for Data Analysis and COMP 2854 -Data Analytics Fundamentals. Students will explore prompt engineering fundamentals, craft effective instructions for AI tools and compare the strengths of different GenAI platforms in real-world analytics scenarios. COMP 3854 starts with an introduction to using Generative AI technologies for enhanced data analytics. Labs and exercises use AI-assisted tools to generate and refine SQL queries, design, and implement data pipelines, and build agentic workflows for advanced data exploration using AWS services. Key topics include AI-driven code generation and troubleshooting, interactive data visualizations, and the application of responsible AI and data privacy principles. Participants will also gain practical experience in designing and validating data warehouse schemas with AI guidance and will analyse cross-industry case studies to see how GenAI is transforming data analytics. Successful students will complete a capstone project with an end-to-end AI-augmented data analysis from raw data to final presentation. They will have developed skills to use AI tools for efficient, ethical, and innovative data solutions.
Registration requirements
Departmental approval is required to register for this course. You must have approval from the department to register. Students accepted into a program can register directly.
Domestic fees
$579.00
International fees are typically 3.4 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Explain core Generative AI concepts, including LLMs and their role in modern data workflows.
- Apply prompt engineering techniques to generate accurate, useful outputs for data analytics tasks.
- Evaluate and compare GenAI tools and platforms for data analytics use cases, including AWS AI services.
- Generate, review, and refine SQL queries using AI coding assistants.
- Design and implement AI-augmented ETL pipelines using AWS AI tools.
- Build agentic pipelines for automated data exploration on AWS.
- Apply responsible AI principles, including data privacy, governance standards, and anonymization practices.
- Design and validate data warehouse schemas using AI-guided methodologies.
- Interpret and communicate AI-generated insights to support business decision-making.
- Complete an end-to-end AI-augmented data analysis project from raw data to final presentation.
Effective as of Fall 2026
Course Offerings
Fall 2026
Below is one offering of COMP 3854 for the Fall 2026 term.
CRN 52796
Dates
Sep 10 - Nov 26 Loading
- CRN 52796
- $579.00 Domestic fees
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Sep 10 - Nov 26 | Thu | 18:00 - 21:00 | Online |
Duration
12 weeks
Instructor
TBD
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Important information
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
- Please email cstflex@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 36 hours synchronous online classes. Please Note: Attendance, participation in class and the BCIT Learning Hub are mandatory. You should prepare to spend 2-3 hours on homework for every 1 hour of class time. This course may require an average total time commitment of 9-12+ hours per week. 3 hours of synchronous class time and 6-9+ hours per week for homework. Late registration is not permitted. BCIT Computing is primarily a Microsoft Windows environment. Students must provide their own current model Windows-compatible PC with microphone and video camera. i5 or higher equivalent processor, with 8 GB of RAM minimum, and 256 GB minimum storage. Highspeed internet access is needed for online sections and for homework. Mac users must have the ability to manage and support their iOS computer. They may need to create a virtual Windows environment using Parallels or VMWare Fusion. COMP instructors may not be able to assist Mac users with software compatibility issues. BCIT does not provide access to Parallels or support for students to use a Mac to run Windows.
Confirmation
Required
To proceed with registration and add this course to the cart, please confirm:
No approval yet? Request approval You must have approval from the department to register. Students accepted into a program can register directly.
Status
If you have any questions about this course, please contact us.
Programs and courses are subject to change without notice. Find out more about BCIT course cancellations.