Databricks Reviews on Courses, Pricing, Features & Career Impact

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.

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.

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.

Here are some ways to assess the credibility of Databricks courses:

1. Course Content and Structure:

1. Comprehensive Curriculum: Evaluate if the courses cover a wide range of topics relevant to Databricks and data analytics.

2. Hands-On Experience: Look for courses that provide practical exercises and projects to reinforce learning.

3. Industry Relevance: Check if the course content aligns with current industry trends and best practices.

2. Instructor Qualifications:

1. Expertise: Verify that the instructors have experience working with Databricks and related technologies.

2. Industry Connections: Look for instructors with industry experience and connections.

3. Student Reviews and Testimonials:

1. Online Forums: Search for reviews and feedback from previous students on platforms like online forums or social media.

2. Databricks Community: Explore the Databricks community to see what users are saying about the courses.

4. Certifications:

1. Databricks Certifications: If the course leads to Databricks certifications, these can be a valuable indicator of quality.

2. Industry Recognition: Check if the certifications are recognised by employers in the field.

5. Company Reputation:

1. Databricks' Standing: Research Databricks' reputation as a company and its commitment to providing quality education.

2. Industry Partnerships: Look for partnerships with universities or other educational institutions.

To get certified from DataBricks, follow these steps: 

1. Choose a course that fits your role. 

2. Sign up and prepare for the exam. 

3. Take the exam. If you score 80% or higher, you will be certified.

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.

Databricks instructor-led training is available to everyone for a fee.

• Public Training: In public training, the schedule follows a set schedule; it is accessible to participants of various organizations. It is advisable for individuals or small groups in a company who want to enroll without holding a dedicated session.

• Private Training: Designed for groups of one organization. This means more flexibility in scheduling and a customized delivery experience. Although the content of the course will remain standardized, private sessions can include a customized combination of existing materials based on the organization's requirements.

Custom course development is not available for either public or private sessions.

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.