Artificial Intelligence for Business
Timeline
-
September 23, 2024Experience start
-
September 28, 2024Project Scope Meeting (TBD)
-
October 26, 2024Midway Check-in (TBD)
-
November 21, 2024Final Presentation (TBD) -
-
November 23, 2024Experience end
Timeline
-
September 23, 2024Experience start
-
September 28, 2024Project Scope Meeting (TBD)
Conference call/ Meeting between students/instructors
and organization to confirm: project scope, communication styles, and important dates.
-
October 26, 2024Midway Check-in (TBD)
Conference call/ Meeting between students and the
organization to ensure that progress is on track halfway through completion.
-
November 21, 2024Final Presentation (TBD) -
Be available to attend the final presentation day (in-person or
remote), and provide feedback to students on their completed project.
-
November 23, 2024Experience end
General
- Certificate
- 20 learners; teams of 4
- 30 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 3/3 project matches
- Anywhere
- Academic experience
- Any company type
- Any industries
Categories
Skills
Project timeline
-
September 23, 2024Experience start
-
September 28, 2024Project Scope Meeting (TBD)
-
October 26, 2024Midway Check-in (TBD)
-
November 21, 2024Final Presentation (TBD) -
-
November 23, 2024Experience end
Timeline
-
September 23, 2024Experience start
-
September 28, 2024Project Scope Meeting (TBD)
Conference call/ Meeting between students/instructors
and organization to confirm: project scope, communication styles, and important dates.
-
October 26, 2024Midway Check-in (TBD)
Conference call/ Meeting between students and the
organization to ensure that progress is on track halfway through completion.
-
November 21, 2024Final Presentation (TBD) -
Be available to attend the final presentation day (in-person or
remote), and provide feedback to students on their completed project.
-
November 23, 2024Experience end
Overview
- Learner goals and capabilities
-
This course is part of the Data Analytics certificate program. Students in the program
are adult learners with a post-secondary degree/diploma in computer science,
engineering, business, etc.
This course presents the principles of artificial intelligence (AI) through an exploration of
its history, capabilities, technologies, framework, and its future. AI applications in
various industries will be reviewed through some case examples. Current trends in AI
will be discussed and students will be encouraged to consider the potentials of AI to
solve complex problems. This course will help students to understand the implications
of AI for business strategy, as well as the economic and societal issues it raises
- Expected outcomes and deliverables
-
The final project deliverables will include:
- A report on students’ findings and details of the problem presented
- Future collaboration ideas will be identified based on current project outcomes
Project Examples
The project(s) should provide an opportunity for the students to collaborate with the
project sponsor to identify and translate a real business problem into an AI analytics
problem. The projects can be short, where the students can apply their learnings to
address the sponsors business problem. Some examples are:
- Describe AI capabilities and the AI technologies to your team
- Discover how AI can be exploited through some case studies
- Identify the risks of AI
- Apply some of the AI tools such as TensorFlow and the services such as IBM Watson cognitive services
- Build an AI agent or an AI application using AI services and AI tools
You should submit a high-level proposal/business problem statement including
relevant data sets and definitions, a list of acceptable tools (if applicable), and
expected deliverables. Business datasets could be provided based on a non-
disclosure agreement or in an anonymized/synthetic data format that is relevant to
your organization and business problem. The course instructors will review the
documents to confirm the scope and timing of the proposed problem and its
alignment with the capstone course requirements.
Analytics solution may be applicable for (however they are not limited to) the following
topics:
1. Customer acquisition and retention
2. Cross-sell and upsell opportunities
3. Develop high propensity target markets
4. Customer segmentation (behavioral or transactional)
5. New Product/Product line development
6. Ranking markets by potential revenue
Timeline
-
September 23, 2024Experience start
-
September 28, 2024Project Scope Meeting (TBD)
-
October 26, 2024Midway Check-in (TBD)
-
November 21, 2024Final Presentation (TBD) -
-
November 23, 2024Experience end
Timeline
-
September 23, 2024Experience start
-
September 28, 2024Project Scope Meeting (TBD)
Conference call/ Meeting between students/instructors
and organization to confirm: project scope, communication styles, and important dates.
-
October 26, 2024Midway Check-in (TBD)
Conference call/ Meeting between students and the
organization to ensure that progress is on track halfway through completion.
-
November 21, 2024Final Presentation (TBD) -
Be available to attend the final presentation day (in-person or
remote), and provide feedback to students on their completed project.
-
November 23, 2024Experience end