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Data fundamentals, accelerated by AI

AI-Augmented Data Engineering

Build reliable pipelines and accelerate your work with AI.

Design, deploy and operate a modern pipeline, using AI as a controlled copilot for SQL, testing, documentation and operations.

A learner building a data pipeline with a mentor
Data & AI EngineeringLIVE COURSE

24 h
of group sessions

Intermediate
level

FR + EN
Discord

01 — OUTCOME

What you’ll be able to do

Design a replayable ingestion and storage architecture

Model and transform data with SQL, DuckDB, Spark and dbt

Orchestrate reliable workflows with Airflow

Implement contracts, tests, lineage and observability

Use AI without delegating validation or production actions

02 — CURRICULUM

A clear, progressive learning path

Detailed content may evolve to stay aligned with current tools and practices.

01

Architecture, ingestion and storage

APIs, files and databases; batch, incremental, Parquet, partitions, schemas and idempotency.

02

Processing and analytical modeling

DuckDB, Spark, dbt models and AI-assisted SQL verified through tests and plans.

03

Reliable orchestration with Airflow

DAGs, tasks, assets, schedules, retries, timeouts, backfills and replayable workflows.

04

Contracts, quality and documentation

Data contracts, tests, freshness, SLAs and CI-validated documentation.

05

Observability, governance and cloud

Lineage, volumes, schemas, alerts, runbooks, personal data, secrets and least privilege.

06

Production engineering and capstone

CI/CD, deployment to the cohort’s selected cloud and response to a simulated incident.

Project & deliverables

  • A versioned, runnable and deployable end-to-end pipeline
  • A trust package: contract, models, tests, documentation and lineage
  • An operations package: alerts, runbook and incident report

Prerequisites

Basic Python, SQL—SELECT, joins and aggregations—Git and command-line skills. Docker is helpful but not required.

03 — FORMAT

Live guidance, practice and feedback.

24 h

Group sessions

Demonstrations, exercises, reviews and Q&A over video calls.

3

Practical deliverables

Guided outputs that apply the skills to realistic scenarios.

24/7

Discord

A private space for announcements, questions and peer support.

04ENROLMENT

One clear plan, delivered live with the group.

One-time payment. Software subscriptions, API credits and cloud services are not included.

Voluntary satisfaction guarantee

Join with confidence: request a full refund before the second group session begins.

The schedule is sent by email.

05 — FAQ

Before joining the cohort

How is the course delivered?

The course includes 24 hours of live group sessions, exercises, practical deliverables and supporting resources.

When will I receive the schedule?

The cohort schedule is sent by email.

What does the Cohort plan include?

The plan includes 24 hours of live group training, guided exercises and deliverables, supporting resources, access to the private Discord and a certificate of completion.

What certificate will I receive?

At the end of the course, you will receive a Genial AI Academy certificate of completion confirming that you completed the training. It is separate from a professional certification.

Is the course recorded?

The initial format is based on live sessions. Access to a complete recorded course library is not promised.

Can I pay by card or PayPal?

Yes. One-time payment is available by card through Stripe or with PayPal.

How does the guarantee work?

You may request a full refund before the second group session begins, without giving a reason.

Ready to begin?

A practical path, live interaction and a community to grow with.

View the plan