Data and AI platform onboarding and certification readiness: Lakehouse, warehouse and BI
A ready-made course you customise for your organisation, with a live session deck and two surveys. You only add the 7 details that are specific to your organisation.
- Length
- 45 min
- Lessons
- 6 lessons
- Frequency
- At onboarding of data engineers and analysts
- Last reviewed
- 21 Oct 2026
A supplier sends a file every morning
Try it: this is one of 16 interactive activities in the course.
What's included
Three pieces that work together
Copy once, get everything. Learners prepare on their own, you answer questions live, and the surveys tell you what stuck.
Self-paced course
Short lessons with real workplace scenarios, not walls of text.
- 6 lessons, about 45 minutes
- Scenario, sorting activity, timeline, accordion and quizzes
Live session deck
An AhaSlides presentation to run after the course, in person or online.
- 10 slides
- Quiz, poll, ranking, word cloud slides
- A closing slide for your contacts
Two surveys
Find out what landed, and whether people use it on the job.
- Post-course feedback, about 2 minutes
- 30-day check-in
- Anonymous by default
- Results feed your next refresher
Learning objectives
At the end of this course, learners can
Each objective and the lesson that covers it.
| ID | Objective | Source | Where it's covered |
|---|---|---|---|
| TO 235.0 | Achieve ≥ 80% on the final assessment | - | Whole course |
| SO 235.1 | Describe workspaces, lakehouses and warehouses and when to use each | Best practice | Whole course |
| SO 235.2 | Choose an ingestion and transformation approach for a stated source | Best practice | Whole course |
| SO 235.3 | Explain batch versus streaming and pick one for a use case | Best practice | Whole course |
| SO 235.4 | Apply access control, governance and monitoring basics + your info | Organisation's data policy | Whole course |
| SO 235.5 | Spot performance and cost problems and name a first fix | Best practice | Whole course |
Your part: what a template can't do for you
- Your workplace details: fill in the 7 highlighted fields so the course describes your own policies, contacts and locations.
- Records: record completion in your own LMS or record system.
Course outline
6 lessons, about 45 minutes
Minutes per lesson are an estimate, shared out by page count.
1A report that showed yesterday's numbers
3 pages
9 min
A report that showed yesterday's numbers
3 pages
2Platform concepts: workspaces, lakehouses and warehouses
3 pages
8 min
Platform concepts: workspaces, lakehouses and warehouses
3 pages
3Ingesting and transforming data
3 pages
8 min
Ingesting and transforming data
3 pages
4Real-time and streaming analytics
2 pages
6 min
Real-time and streaming analytics
2 pages
5Security, governance and monitoring
2 pages
6 min
Security, governance and monitoring
2 pages
6Optimising performance and cost, and your checklist
3 pages
8 min
Optimising performance and cost, and your checklist
3 pages
Live deck and surveys
10 slides to run live, two surveys to close the loop
Pink slides are interactive. Both surveys are anonymous; pink questions are written for this course.
Post-course feedback: 11 questions, about 2 min
- Overall rating 5 stars
- Relevant, realistic, right length, helpful activities agree/disagree grid
- What was most useful? multi-select
- Confidence before this course, and now 1-5 scale
- Confidence in platform concepts · ingestion · streaming · governance · cost grid
- Do you get alerts when a load fails? multiple choice
- Which platform task do you want covered? short text
- I can say ‘I do not understand this component’ without feeling judged. 1-5 scale
- One thing we should change or add open text
- Would you recommend this course? NPS
30-day check-in
- Have you used what you learned since the course? multiple choice
- How confident are you today? Compare with day 1 1-5 scale
- Do you know where to find the platform onboarding checklist and data policy? yes / no / not sure
- A moment where the training helped, or where you weren't sure open text
- Which topics should the next refresher focus on? ranking
Results show whether people use the training on the job, not just whether they finished it.
Make it yours
7 fields to fill in, and you're ready
Everything else is done. These are the details only your organisation knows; each one is highlighted inside the course.
- Link to the data classification and access policy
{{DATA_CLASSIFICATION_POLICY_LINK}} - Who to ask for help or to report a concern
{{HELP_CONTACT}} - Where completion is recorded
{{LMS_OR_RECORD_SYSTEM}} - Link to the post-course and 30-day survey
{{SURVEY_2_URL}} - Link to the self-paced course
{{COURSE_URL}} - List of approved tools and versions
{{APPROVED_TOOLS}}
Show all 7 fields
- Link to the baseline survey
{{SURVEY_1_URL}}
FAQ
Common questions
Can I run data and AI platform onboarding and certification readiness: Lakehouse, warehouse and BI training online?
Yes. The course is self-paced and online, and the live deck lets you add a live session in the room or online.
How often is this training needed?
At onboarding of data engineers and analysts, and in the weeks before a platform certification exam.
Who needs this training?
Data engineers, analysts, BI developers and platform administrators; run by data and analytics leads, partners or L&D.
What records should I keep?
Record completion in your own LMS or record system, so you can show who finished the course and when.
Can I edit the content?
Yes, everything. Change the wording, swap scenarios for ones from your workplace, add your logo, or remove parts that don't apply.
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Ready to run it?
Open the live deck to see how the session runs alongside the course and both surveys.