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
Ingesting and transforming data
What would you do?

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.

IDObjectiveSourceWhere it's covered
TO 235.0Achieve ≥ 80% on the final assessment-Whole course
SO 235.1Describe workspaces, lakehouses and warehouses and when to use eachBest practiceWhole course
SO 235.2Choose an ingestion and transformation approach for a stated sourceBest practiceWhole course
SO 235.3Explain batch versus streaming and pick one for a use caseBest practiceWhole course
SO 235.4Apply access control, governance and monitoring basics + your infoOrganisation's data policyWhole course
SO 235.5Spot performance and cost problems and name a first fixBest practiceWhole 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.

ContentInteractiveVideoYou customise
1

A report that showed yesterday's numbers

3 pages

9 min
Before you beginNoteList
The incidentTextImage
What went wrongTimelineQuiz
2

Platform concepts: workspaces, lakehouses and warehouses

3 pages

8 min
ComponentsAccordion
Which component?Sorting activity
CheckFlashcardsMatching quiz
3

Ingesting and transforming data

3 pages

8 min
StepsProcess
Pick the approachScenarioQuiz
CheckMulti-select quiz
4

Real-time and streaming analytics

2 pages

6 min
Batch or stream?Sorting activity
The delayScenarioQuiz
5

Security, governance and monitoring

2 pages

6 min
ControlsChecklistYour info
Share safelyScenarioQuiz
6

Optimising performance and cost, and your checklist

3 pages

8 min
Quick winsTableKey factYour info
Onboarding checklistChecklist
PracticeQuizKey factNoteButtonYour info

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.

ContentTitle, agenda, "bring a dataset you use
PollWhere does your team's data land first?
QuizRaw files in many formats go first to… (Lakehouse landing area ✔ · Dashboard · Spreadsheet · Email)
Content · customiseComponents, batch versus streaming, the governance checklist {{DATA_CLASSIFICATION_POLICY_LINK}}
RankingRank by urgency: silent load failure, slow report, duplicate table, unused workspace
QuizA supplier file arrives daily. Best design? (Scheduled pipeline with validation ✔)
Word cloudThe data surprise that cost you most
ScaleHow confident are you picking the right component?
Q&AAsk the trainer anything
Content · customiseClosing {{HELP_CONTACT}}, {{COURSE_URL}}, {{SURVEY_2_URL}}
Post-course feedback: 11 questions, about 2 min
  1. Overall rating 5 stars
  2. Relevant, realistic, right length, helpful activities agree/disagree grid
  3. What was most useful? multi-select
  4. Confidence before this course, and now 1-5 scale
  5. Confidence in platform concepts · ingestion · streaming · governance · cost grid
  6. Do you get alerts when a load fails? multiple choice
  7. Which platform task do you want covered? short text
  8. I can say ‘I do not understand this component’ without feeling judged. 1-5 scale
  9. One thing we should change or add open text
  10. Would you recommend this course? NPS
30-day check-in
  1. Have you used what you learned since the course? multiple choice
  2. How confident are you today? Compare with day 1 1-5 scale
  3. Do you know where to find the platform onboarding checklist and data policy? yes / no / not sure
  4. A moment where the training helped, or where you weren't sure open text
  5. 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.

Ready to run it?

Open the live deck to see how the session runs alongside the course and both surveys.