What are the benefits of getting a Databricks Certification?

Databricks certifications confirm an individual's knowledge and skills to apply the Databricks Lakehouse Platform in data and AI workloads. Benefits include: Demonstrating expertise in data engineering, machine learning, or business intelligence. Career advancement through the validation of technical skills in a competitive market. Establishing credibility and recognition as a qualified professional in data and AI technologies. Databricks certifications help professionals demonstrate their ability to use Databricks tools to solve real-world business challenges effectively.

Will the training at Databricks be recorded? Can I record the training?

Recording instructor-led training sessions is not allowed for personal use or by the organisation hosting the training. This policy ensures the privacy of both instructors and participants. In addition, the lack of recordings encourages active participation, as students are more likely to ask questions and engage with the material without concerns about being recorded. Databricks Academy offers pre-recorded self-paced training materials upon logging in for those who want to have recorded resources.

Are Databricks courses accredited?

While Databricks courses themselves may not hold traditional academic accreditations like those from universities or colleges, they are widely recognised and respected within the data engineering and data Science communities. Databricks is a leading cloud-based data analytics platform, and its courses are developed by industry experts with extensive experience in data processing and analysis. The platform's popularity and the demand for Databricks skills in the job market contribute to the credibility of its courses.

How do I get certification from Databrick?

To get certified from DataBricks, follow these steps: Choose a course that fits your role. Sign up and prepare for the exam. Take the exam. If you score 80% or higher, you will be certified.

Databricks Courses & Certifications Online

4.9 /5

(54 Ratings)

Databricks
All About Courses & Platform

Databricks courses are designed to help learners build strong skills in data and AI using the Databricks platform. The programs are typically role-based, instructor-led, and lab-based, allowing hands-on practice and expert guidance.

Training Modes

Mode	Description
Role-based	Courses are tailored to specific job roles, such as - Data Engineer Data Architect Data Analyst Data Scientist Machine Learning Engineer
Instructor-led	Sessions are guided by certified instructors and often include live virtual classrooms or in-person training.
Lab-based	Lab-based courses include hands-on lab exercises using real datasets in a Databricks environment to practice skills.

1. Introductory Level Courses

These are beginner-friendly courses for those new to Databricks or data and Artificial Intelligence concepts. They help you understand basic tools, platform navigation, and foundational analytics.

Course Name & Duration	Description	USPs
Create Your First Workspace Using Databricks Express 1h 30m · Free	Learn how to set up and explore a Databricks Express workspace with a guided trial.	Quick setup of serverless workspace Use Unity Catalog for analysis Explore credit-based trial usage
Databricks AI Security Fundamentals 1h · Free	Understand basic security principles related to AI on the Databricks platform.	Covers *AI model* risks Includes recent security cases Focus on compliance standards
Databricks Fundamentals 1h · Free	Introduces Databricks platform features and how they support data and AI usage.	Overview of Databricks platform tools For all experience levels Helps understand business use
Databricks Fundamentals Accreditation 30m · Free	Short quiz testing Databricks fundamentals; badge on completion.	20-question quiz Digital badge Quick review format
Generative AI Fundamentals 2h · Free	Discover the fundamentals of generative AI, including large language models (LLMs) and key usage considerations.	Focus on LLMs Covers AI risks Useful for AI beginners
Generative AI Fundamentals Accreditation 10m · Free	Quick test on generative AI basics with a badge on an 80% score.	10-minute quiz Recognized badge Linked to AI learning path
Introduction to Python for Data Science and Data Engineering 12h · Paid	Learn the basics of Python for handling data, including Pandas and cloud tools.	Covers Python fundamentals Hands-on labs Includes pandas and cloud basics

2. Onboarding Courses

These courses are for new users or teams who have just started using Databricks in their organization. The content is focused on practical setup, collaboration features, and workspace use.

Course Name & Duration	Description	USPs
Databricks AI/BI for Self-Service Analytics 3h · Free	Learn to use AI/BI dashboards and natural language queries in Databricks.	Dashboard exploration Natural language insights Shareable visualizations
Get Started with Databricks for Data Engineering 2h · Free	Covers basic tools for data workflows using Databricks.	Hands-on engineering flow Use of Delta Lake Platform object navigation
Get Started with Databricks for Data Engineering 3h · Paid (Lab)	Instructor-led version of the same course with guided labs.	Guided labs Hands-on cluster usage Realistic workflows
Get Started with Databricks for Data Warehousing 2h · Free (Instructor-led)	Learn modern data lakehouse and data warehousing concepts.	Lakehouse overview AI-driven tools Beginner-friendly
Get Started with Databricks for Data Warehousing 3h · Paid (Lab)	Practical sessions on AI-powered warehouse building on Databricks.	Lab-based tasks Hands-on transformation Model deployment focus
Get Started with Databricks for Generative AI 2h · Free (Instructor-led)	Learn how to use Mosaic AI tools for building generative AI apps.	Covers RAG pipelines Deploy agents Use evaluation frameworks

3. Associate Level Courses

Intermediate-level courses that prepare you for associate certifications. Ideal for users with some experience in data engineering, machine learning, or analytics.

Course Name & Duration	Description	USPs
AI/BI for Data Analysts 2h · Free	Learn to create and manage AI/BI dashboards for analytics.	Dashboard creation Stakeholder access control Support for self-service
Apache Spark Programming with Databricks 16h · Paid (Lab)	Learn Apache Spark basics and how to use DataFrame APIs.	Covers distributed computing Uses Python workflows Practice with real data
AWS Databricks Platform Architect Accreditation 20m · Free	Quiz to validate platform knowledge on AWS setup.	Cloud-specific content Quick test format Digital Badge
Azure Databricks Platform Architect Accreditation 20m · Free	Similar to the AWS version but focused on the Azure platform.	Azure integration focus Badge for credentialing Tests core knowledge
Data Engineering with Databricks 16h · Paid (Lab)	Learn core data engineering skills with Delta Lake and Unity Catalog.	Focus on real-world ETL Use of Delta Live Tables Covers data governance as well
Data Ingestion with Delta Lake 4h · Paid (Lab)	Build data pipelines with Delta Live Tables and Databricks Workflows.	Ingestion automation Code promotion via Repos Production-ready workflows

4. Professional Level Courses

Advanced training for experienced practitioners. These courses focus on specific technologies, tools, and best practices, aligning with professional certifications.

Course Name & Duration	Description	USPs
Advanced Data Engineering with Databricks 16h · Paid (Lab)	Learn advanced concepts like streaming, optimization, and deployment.	Streaming with Delta Live Data privacy compliance DevOps for engineering
Advanced Machine Learning Operations 2h · Free	Introduction to MLOps tools and best practices on Databricks.	Overview of ML lifecycle Automation via DABs Scalable infra examples
Advanced Machine Learning Operations 4h · Paid (Lab)	Instructor-led course with labs on MLOps tools and strategies.	CI/CD pipelines Drift monitoring Model rollout strategies
Advanced Machine Learning Operations 3h · Paid (Lab)	Covers monitoring, A/B testing, and reliable ML systems.	Model reliability focus Custom metrics setup Multi-model testing
Advanced Machine Learning with Databricks 8h · Paid (Lab)	Deep dive into ML at scale and operations.	Two-part course ML pipeline design Infrastructure management
Automated Deployment with Databricks Asset Bundles 3h · Paid	Apply DevOps principles for automating data pipeline deployments.	Covers CI/CD Introduces DABs Supports repeatable workflows
Automated Deployment with Databricks Asset Bundles 2h · Free	Short version focusing on automation practices.	Quick DevOps overview Asset Bundles usage Deployment readiness
Automated Deployment with Databricks Asset Bundles 4h · Paid (Lab)	Instructor-led course with labs for automated deployment.	Hands-on deployment Real-time DevOps setup Covers integration
Databricks Data Privacy 2h · Free	Learn to manage sensitive data securely and meet data privacy standards.	GDPR/CCPA focus Unity Catalog tools Change Data Feed usage

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Showing 43 Courses

Generative AI Engineering with Databricks

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₹1.27 L

Duration

16 hours

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Databricks Certified Data Engineer Professional

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Databricks Certified Generative AI Engineer Associate

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Databricks Certified Machine Learning Associate

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Scalable Machine Learning with Apache Spark

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16 hours

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Machine Learning in Production

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₹84.83 K

Duration

8 hours

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Data Engineering with Databricks

Certificate

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₹12.59 K

Duration

16 hours

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Data Science

Advanced Data Engineering with Databricks

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₹1.27 L

Duration

16 hours

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Advanced

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Data Science Hadoop Spark

Generative AI Application Deployment and Monitoring

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₹63.6 K

Duration

4 hours

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Generative AI Solution Development

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₹63.6 K

Duration

4 hours

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Introduction to Python for Data Science and Data Engineering

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₹1.27 L

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12 hours

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– / –

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Data Science Cloud Computing Data visualization Python +1 more

Data Ingestion with Delta Lake

Certificate

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₹63.62 K

Duration

4 hours

Difficulty level

Intermediate

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Python

Data Analytics and Warehousing with Databricks

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₹63.62 K

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4 hours

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– / –

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Data analysis Data Warehousing Data visualization

Data Governance with Unity Catalog

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₹62.93 K

Duration

4 hours

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Apache Spark Programming with Databricks

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₹1.27 L

Duration

12 hours

Difficulty level

– / –

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Apache Spark Python

Databricks Streaming and Delta Live Tables

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₹63.62 K

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4 hours

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Spark Data Science

Generative AI Application Development

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₹63.6 K

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4 hours

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Databricks Certified Machine Learning Professional

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Deploy Workloads with Databricks Workflows

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₹63.62 K

Duration

4 hours

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– / –

Skills

Cloud Computing

Generative AI Application Evaluation and Governance

Certificate

Total Fees

₹63.6 K

Duration

4 hours

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Commonly asked questions
On All Courses

Q: Are the certificates provided by Databricks recognised globally?

Yes, Databricks certifications are generally recognised globally.

Here's why:

Industry Leader: Databricks is a leading cloud-based data analytics platform, widely used by organizations worldwide.
Global Demand: There is a strong global demand for professionals skilled in Databricks, making its certifications valuable in various regions.
Industry Standards: Databricks certifications align with industry standards and best practices, ensuring their relevance across different geographies.
Employer Recognition: Many employers worldwide recognize Databricks certifications as a sign of expertise and value them in hiring decisions.

Q: How are Databricks badges different from Databricks certifications?

Databricks Badges and certifications are different for two reasons:

Databricks Badges: Badges are non-proctored, free assessments that help one gauge their understanding of a particular subject, such as Lakehouse architecture or Generative AI.

Databricks Certifications: These are formal assessments evaluating a person's skills and competencies for certain positions. The certification exams are timed, fee-based, and taken to prove one's professional expertise in data analysis, machine learning, or data engineering.

Q: Will I get a job after completing the Databricks course?

Completing a Databricks course can significantly improve your job prospects in the field of data engineering, data science, or big data analytics. Databricks has gained significant traction in the industry, and there is a growing demand for professionals skilled in its platform.

However, getting a job also depends on other factors such as:

Experience: Practical experience with Databricks and related technologies can be a valuable asset.
Portfolio: Demonstrating your skills through projects or case studies can make you stand out.
Networking: Building connections within the data community can help you find opportunities.
Soft skills: Effective communication, problem-solving, and teamwork skills are essential.

Q: Is Databricks online certificate valid?

Yes, Databricks online certificates are generally considered valid. They are recognised by many employers and industry professionals as a credential indicating proficiency in Databricks and related technologies.

Databricks
Students Ratings & Reviews

4.9/5

54 Ratings

4-5
24
3-4
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Shubham Bulbule

Databricks Certified Data Engineer Associate

Learning Experience: A very good course and certification provided from Databricks platform, It is very useful for data engineers

Faculty: Faculty was very helpful Yes I liked course curriculum, It will cover all about Databricks and their lakehouse platform

Course Support: Got promotion

Reviewed on 3 Mar 2023Read More

Debajit paul

Databricks Certified Associate Developer for Apache Spark

Learning Experience: The course content includes Dataframe operations, garbeg collection, AQE related questions and some dry run coding concepts of Pyspark and the also Pyspark Architeture

Faculty: Udemy and YouTube videos The exam is pretty up todate. always need to keep practicing the Pyspark code

Reviewed on 5 Feb 2023Read More

Kirti Jain

Databricks Partners: Databricks Developer Essentials Badge Learning Pathway

Learning Experience: Platform - Databricks community

Faculty: You just need to register on a partner academy and enroll to the databricks capstone. Course structure is very interesting. Every step is written in the instructor.

Course Support: Yes, I learned alot and got hand on experience.

Reviewed on 29 Aug 2022Read More

Sidhartha Sankar Jena

Databricks Partners: Databricks Developer Essentials Badge Learning Pathway

Learning Experience: Nice content

Faculty: Training experience was perfect and the lab was also exciting Great curriculum

Course Support: Yes

Reviewed on 30 Jul 2022Read More

Pharas ram Rai

Databricks Certified Associate Developer for Apache Spark

Learning Experience: Learning experience was good

Faculty: Instructors taught well Nothing want to change