Data & AI · Learning guide

LLMs

Asked for in 11 job posts at 7 companies across Canada.

No job posts in Columbus yet, so we're showing all of Canada.

Demand over time

Job posts asking for LLMs, by week, last 16 weeks

in the last 4 weeks · 5 the 4 before

Job posts asking for this skill, by week
Week of	Job posts
Jul 20	1
Jul 27	0
Aug 3	0
Aug 10	0
Aug 17	0
Aug 24	0
Aug 31	0
Sep 7	0
Sep 14	2
Sep 21	1
Sep 28	1
Oct 5	1
Oct 12	0
Oct 19	0
Oct 26	1
Nov 2	3

Who's hiring

Companies with posts that ask for it

CCohere3
LLightspeed2
ssyndio2
aaltaml1
JJobber1
HHopper1
11Password1

Newest job posts

Learn next

Asked for in the same posts

Python JavaScript TypeScript CI/CD Go machine learning Node.js React

Impact projects

Real problems in Canada, from public data. Build something that helps, and prove LLMs while you do it.

AI-suggestedUN SDG 13

Greenhouse gas emissions from industries and households in Alberta went from 265130 in 2009 to 271415 in 2023. This impacts residents and nearby communities dealing with environmental degradation.

Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent)

Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent)
Period	Value
2009	265,130 kilotonnes
2010	273,996 kilotonnes
2011	285,154 kilotonnes
2012	290,700 kilotonnes
2013	300,770 kilotonnes
2014	303,757 kilotonnes
2015	295,870 kilotonnes
2016	278,406 kilotonnes
2017	291,330 kilotonnes
2018	291,567 kilotonnes
2019	292,346 kilotonnes
2020	271,006 kilotonnes
2021	275,547 kilotonnes
2022	273,636 kilotonnes
2023	271,415 kilotonnes

What to build: Build a document retrieval assistant for environmental advocates analyzing local climate policies.
How it practises LLMs: Practise LLMs by designing a retrieval-augmented generation pipeline with prompt engineering and vector search.
Proof to submit: Submit a public GitHub repository with the pipeline code and a video demo of question answering.

Data: Statistics Canada table 38-10-0097-01

AI-suggestedUN SDG 8

The share of youth aged 15 to 24 not in education, employment or training in Canada changed from 13.7 in 2010 to 13.27 in 2025. This impacts young individuals in Canada trying to access education and steady work.

Share of youth aged 15 to 24 not in education, employment or training, Canada (yearly)

Share of youth aged 15 to 24 not in education, employment or training, Canada (yearly)
Period	Value
2010	13.7%
2011	13.19%
2012	13.25%
2013	12.91%
2014	13.55%
2015	13.27%
2016	12.89%
2017	12.07%
2018	12.21%
2019	12.04%
2020	17.86%
2021	12.82%
2022	11.6%
2023	11.74%
2024	12.99%
2025	13.27%

What to build: Build an AI coaching application that reviews resumes for youth seeking entry-level jobs.
How it practises LLMs: Practise LLMs by setting up structured prompt chains, output parsers, and evaluation prompts.
Proof to submit: Submit a public repository with the application code and sample input and output logs.

Data: UN SDG indicator 8.6.1

Best resources

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