AI can be a useful tool, but it's important to understand both what it can do and where its limitations are. This course invites learners to explore AI with a thoughtful and responsible approach, including how data is used, how bias can show up, and why privacy and local control of data matter. Learners will build the skills to make informed choices about how AI can be used in their work, learning, and communities.
Register
- Application Deadline
- TBD
- Fee
- Funded (Indigenous, 18–35, BC)
No dates available.
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Course Details
- Start Date
- TBD
- Location
- Live, online instruction
- Course Length
- 6 Weeks
- Schedule
- Monday–Friday 9 am–4 pm
About The Course
This six-week, hands-on course builds on foundational artificial intelligence (AI) knowledge and focuses on the practical application of modern artificial intelligence in real-world contexts. Students learn how generative AI systems work, how to design effective prompts and workflows, and how to apply AI tools responsibly to automate tasks, analyze data, and support decision-making.
Through guided projects and applied exercises, learners progress from prompt engineering and document-based automation to using ChatGPT Advanced Data Analysis, writing simple Python scripts, and prototyping basic AI agents and custom GPTs. Key system patterns—such as tool use, retrieval-augmented generation, and agentic workflows—are introduced in accessible, non-mathematical ways, with an emphasis on when and why to use them.
Responsible AI use is a core theme throughout the course. Students critically examine issues such as data privacy, bias, environmental impact, and the limits of automation, emphasizing the importance of human judgment and local data control. Indigenous perspectives are integrated across the curriculum, exploring how Indigenous artists, communities, and organizations engage with AI, and how Indigenous ways of knowing inform values-based, ethical approaches to emerging technologies.
What You'll Learn
- Engage with Indigenous perspectives on AI
- Explain core AI and generative AI concepts in an accessible language
- Design, test, and refine effective prompts and workflows
- Evaluate AI use cases and output quality
- Automate document- and data-based tasks using AI tools
- Use Python to support AI-enabled workflows
- Build and prototype basic AI agents and custom GPTs
- Recognize and apply common AI system patterns
- Apply principles of responsible and trustworthy AI
Course Details
Credentials Earned upon Completion
This is a non-credited professional development course. Learners will receive:
- An FNTC certificate and a custom course badge.
- Official certificates of completion issued by the Coursera content providers.
You'll Need to Have
An internet connection and basic to proficient computer skills including; laptop operation and maintenance, video conferencing, MS office as well as some knowledge/experience within the area you’re interested in pursuing.
Skills & Career Pathways
You'll Gain
Specific skills and certifications toward your chosen career path.
Learner Support
Each course is supported with funding, equipment, and access to a dedicated support team. Learners may also be eligible for additional support, helping remove barriers and make learning more accessible.
Funded
This course is funded for Indigenous Peoples aged 18-35 living in BC.
Equipment
Equipment and technology required for this course is provided.
Support Team
Our caring staff are always available for 1:1 meetings.
Living
Learners are eligible to apply for funding to cover some living expenses.