Azure Databricks Trainings

Azure Databricks, the managed data + AI lakehouse on Azure

Azure Databricks is the lakehouse platform co-developed by Databricks and Microsoft Azure, combining data warehouse and data lake in a unified architecture. Launched in 2018 as part of a strategic partnership between Microsoft and Databricks, Azure Databricks exposes the full Databricks platform (managed Apache Spark, Delta Lake, Unity Catalog, MLflow, Mosaic AI, Databricks SQL, Databricks Genie) with native Azure integration (Azure Data Lake Storage Gen2, Azure Active Directory, Azure Key Vault, Azure Monitor) and billing via Azure subscription. Azure Databricks is today a de facto standard for enterprise data engineering, data science and generative AI architectures on Azure.

Azure Databricks functional scope covers the full data and AI lifecycle: ingestion via Auto Loader and Delta Live Tables, transformation with Apache Spark (Python, SQL, Scala, R), Delta Lake storage (ACID, time travel, schema enforcement), Unity Catalog governance (data catalogue, lineage, access control, Delta Sharing), Databricks SQL warehouse for BI, machine learning with MLflow and AutoML, generative AI with Mosaic AI Model Serving, RAG and fine-tuning, AI agents with Databricks Agents. In 2026, the key evolution is deep generative AI integration (Genie for conversational BI, Mosaic AI for custom LLMs).

In French-speaking Switzerland, Geneva private banks, Lake Geneva international organisations, telecom operators, pharmaceutical industries, large insurers and cantonal administrations build their data platform on Azure Databricks, with various use cases: modern data warehouse, 360 analytics platform, ML in production, AI agents with business data access, RAG on internal document bases. Azure Databricks coexists with and complements Microsoft Fabric in many Azure landscapes. ITTA offers the Azure Databricks catalogue covering DP-3014 (ML with Azure Databricks) and DP-3028 (Generative AI with Azure Databricks).

Following a recognised Azure Databricks training opens access to highly demanded roles in French-speaking Switzerland: Azure data engineer, data scientist, ML engineer, Databricks engineer, Spark developer, analytics engineer, lakehouse data architect, AI engineer. Whether you are preparing the Microsoft Applied Skills DP-3014 or DP-3028, or targeting the Databricks Certified Associate certification, our Azure Databricks training in Geneva and Lausanne covers the full path.

The ITTA Azure Databricks catalogue

Implementing a Machine Learning Solution with Azure Databricks (DP-3014)

Implementing a Machine Learning Solution with Azure Databricks (DP-3014) is the Microsoft Applied Skill training for data scientists and ML engineers building end-to-end ML solutions on Azure Databricks. The programme covers Azure Databricks onboarding (workspaces, clusters, notebooks), data preparation with Apache Spark and Delta Lake, MLflow usage for experiment tracking, AutoML for baselines, classical ML model training (scikit-learn, XGBoost, LightGBM) and deep learning (TensorFlow, PyTorch), model registry, deployment with Model Serving, production model monitoring, and MLOps best practices. Targets Azure data scientists, ML engineers and analytics engineers.

Implementing Generative AI Solutions with Azure Databricks (DP-3028)

Implementing Generative AI Solutions with Azure Databricks (DP-3028) is the Microsoft Applied Skill training oriented on generative AI on Azure Databricks. The programme covers Mosaic AI (Databricks’s generative AI suite), use of Databricks-hosted Foundation Models, RAG with Vector Search, LLM fine-tuning, Mosaic AI Model Serving for deployment, LLM evaluation with MLflow, Databricks Genie for conversational BI, Databricks agents and integration with Unity Catalog for data and AI model governance. Targets generative AI data scientists and ML engineers industrialising generative AI.

Azure Databricks and the publisher ecosystem at ITTA

Azure Databricks fits into a broader Azure data and AI ecosystem. The Microsoft Azure publisher covers Azure fundamentals essential (subscriptions, ADLS Gen2, networking) to host Azure Databricks. The Microsoft Fabric publisher is the native Microsoft data and BI platform that often coexists with and complements Azure Databricks (Fabric Synapse Data Engineering, OneLake). The data science sub-domain regroups all data science practices transverse to platforms (Databricks, Fabric, Azure ML, Snowflake). The analytics and databases sub-domain regroups SQL, BI and modelling fundamentals essential before Databricks.

Azure Databricks trends in 2026

Azure Databricks evolves rapidly in 2026. Mosaic AI (from the Mosaic ML acquisition by Databricks) structures the generative AI stack with Foundation Model APIs, managed Vector Search and Model Serving. Databricks Genie democratises conversational BI access to Delta data with an AI agent. Unity Catalog becomes the unified governance standard (data, models, AI agents). The Microsoft + Databricks partnership strengthens, with controlled coexistence of Azure Databricks and Microsoft Fabric (Fabric Mirroring to Delta, OneLake in shared background). Databricks certifications (Data Engineer Associate, ML Associate, Generative AI Engineer Associate) are recognised on the job market. Our pedagogical content regularly integrates these evolutions to remain aligned with current practices.

Azure Databricks training in Geneva, Lausanne and online

All our Azure Databricks courses are available on-site in our Geneva and Lausanne centres, as well as in interactive virtual classroom with a certified Data and AI consultant live. Our sessions are organised in 5-week cycles. Each session includes hands-on labs on dedicated Azure Databricks workspace, Spark pipelines to write, ML models to train with MLflow, RAG architectures with Vector Search to build, Foundation Models to invoke, and concrete cases inspired by real projects (modern data warehouse, customer scoring, document RAG, conversational BI). Customised corporate training is also possible at your premises, in Geneva, Lausanne, Vaud and across French-speaking Switzerland, with a programme adapted to your stack (Azure Databricks, Microsoft Fabric, Snowflake).

Why choose ITTA

ITTA offers a training catalogue. Our Azure Databricks trainers are Microsoft and Databricks certified data engineers, data scientists and ML engineers active with Swiss and international clients, covering lakehouse architecture, Spark data engineering, MLOps machine learning, Mosaic AI generative AI, Unity Catalog governance. The Azure Databricks catalogue regroups DP-3014 and DP-3028. Our pedagogical team supports you in choosing the right path, identifying prerequisites (Python, SQL, Azure fundamentals) and identifying funding solutions adapted to your professional situation.

Our pedagogical approach favours learning by doing, with Spark pipelines to write from the first hours, ML models to train, RAG architectures to build, Foundation Models to invoke, and concrete cases inspired by real projects. Each session combines training time, applied exercises and exchanges with the trainer, allowing each participant to progress at their own pace and leave with skills directly usable in their professional context.

Our training is aimed at varied audiences: data engineers, data scientists, ML engineers, analytics engineers, data architects, BI consultants, internal IT teams managing a lakehouse project, data-specialised IT services teams. Our pedagogical team adapts the content to the participants’ context.

Featured courses in this catalogue

Here is a selection of reference training courses in this catalogue, accessible directly:

• Implementing a Machine Learning Solution with Azure Databricks (DP-3014)
• Implementing Generative AI Solutions with Azure Databricks (DP-3028)

FAQ

What is the difference between Azure Databricks and Microsoft Fabric?

Azure Databricks is the Databricks lakehouse platform co-deployed on Azure, widely adopted in data engineering and data science with Apache Spark and Delta Lake. Microsoft Fabric is Microsoft’s all-in-one data + BI platform (Synapse Data Engineering, Data Factory, Power BI, OneLake). Both coexist in many organisations: Databricks remains strong in advanced engineering and custom generative AI, Fabric shines in Power BI BI and low-code data. Our pedagogical team guides you based on your target architecture.

Is Python or SQL required to follow Azure Databricks training?

Yes, mastery of Python (data science) and/or SQL (data engineering / BI) is expected before Azure Databricks training. A habit of Jupyter or Databricks notebooks is a plus. For profiles without Python, we offer a Python training as prerequisite. For SQL profiles with little Python, learning is fast in parallel with Databricks labs.

Which Databricks certification to target?

On the Microsoft side, Applied Skills DP-3014 (ML with Azure Databricks) and DP-3028 (Generative AI) are the references. On the Databricks publisher side, the Databricks Certified Data Engineer Associate, ML Associate and Generative AI Engineer Associate are recognised on the market. Our pedagogical team guides you based on your role and career project.

Are your Azure Databricks courses available for companies?

Yes, the entire Azure Databricks catalogue is available in-house, in Geneva, Lausanne and in virtual classroom, with a programme adapted to your stack (Azure Databricks, ADLS Gen2, Unity Catalog, MLflow, Mosaic AI) and business use cases (modern data warehouse, ML in production, RAG, conversational BI). Our team builds the specifications with you and organises sessions according to your calendar.