Top 10 Certifications for AI Data Engineers

As the demand for Artificial Intelligence (AI) and Data Engineering continues to increase, it’s becoming more important for professionals to gain industry-recognized certifications that demonstrate their expertise and competence in these fields. AI Data Engineers are responsible for designing, building, and maintaining the data infrastructure that enables the development and deployment of AI models. In this blog post, we’ll be discussing the top 10 certifications for AI Data Engineers that are highly valued by employers and can help individuals advance their careers in this rapidly growing field.

1. AWS Certified Machine Learning – Specialty

Overview

The AWS Certified Machine Learning – Specialty certification is designed for individuals who have a strong understanding of AWS services and have experience in building, deploying, and maintaining machine learning (ML) solutions. This certification validates an individual’s expertise in designing and implementing ML solutions using AWS services.

Topics Covered

  • Data engineering: how to preprocess and transform data, and how to choose and implement the appropriate data storage solutions for ML.
  • Exploratory data analysis: how to use statistical techniques to gain insights into data and how to visualize data for analysis.
  • ML modeling: how to select and use the appropriate ML algorithms for a given problem and how to train and evaluate models.
  • ML implementation and operations: how to deploy ML models into production using AWS services and how to monitor and troubleshoot ML models.

Prerequisites

  • At least one year of experience in developing and maintaining ML applications on AWS
  • In-depth knowledge of at least one high-level programming language
  • Knowledge of basic ML concepts
  • Familiarity with AWS services and architectures
  • A general understanding of security best practices for ML on AWS

Study Duration

AWS recommends that candidates spend at least six months working with AWS services before attempting the certification exam.

Costs

The cost of the AWS Certified Machine Learning – Specialty certification exam is currently $300. In addition to the exam fee, candidates may choose to purchase study materials or attend training courses, which can vary in cost.

Exams

The certification exam consists of 65 multiple-choice and multiple-response questions and must be completed within 180 minutes. The exam covers a range of topics related to ML on AWS, including data preparation, feature engineering, ML algorithms, model training and tuning, and deployment and monitoring. Candidates must achieve a passing score of 750 out of 1000 to earn the certification.

2. Google Cloud Professional Data Engineer

Overview

The Google Cloud Professional Data Engineer certification is designed for individuals who have a strong understanding of Google Cloud Platform (GCP) services and have experience in designing and building data processing systems, data pipelines, and machine learning solutions. This certification validates an individual’s expertise in designing and implementing scalable, reliable, and secure data processing systems on GCP.

Topics Covered

  • Designing and planning data processing systems: how to design and implement data processing systems, data pipelines, and storage systems on GCP.
  • Building and maintaining data structures and databases: how to create and maintain data structures, databases, and tables to support data processing and analysis.
  • Analyzing and visualizing data: how to analyze and visualize data using GCP tools, such as BigQuery and Data Studio.
  • Machine learning implementation: how to design and implement machine learning solutions on GCP using tools like Cloud ML Engine and TensorFlow.

Prerequisites

  • At least three years of experience in the data engineering field
  • In-depth knowledge of at least one high-level programming language
  • Knowledge of basic data processing and machine learning concepts
  • Familiarity with GCP services and architectures
  • A general understanding of security best practices for data processing on GCP

Study Duration

Google recommends that candidates spend at least six months working with GCP services before attempting the certification exam.

Costs

The cost of the Google Cloud Professional Data Engineer certification exam is currently $200. In addition to the exam fee, candidates may choose to purchase study materials or attend training courses, which can vary in cost.

Exams

The certification exam consists of 50 multiple-choice and multiple-select questions and must be completed within two hours. The exam covers a range of topics related to data engineering on GCP, including data processing, storage, analysis, and machine learning. Candidates must achieve a passing score of 70% to earn the certification.

3. Microsoft Certified: Azure Data Engineer Associate

Overview

The Microsoft Certified: Azure Data Engineer Associate certification is designed for individuals who have experience in designing and implementing Azure data solutions, including data storage, processing, and visualization. This certification validates an individual’s expertise in designing and implementing solutions that meet business and technical requirements using Azure data services.

Topics Covered

  • Designing and implementing data storage solutions: how to design and implement data storage solutions using Azure services, such as Azure SQL Database, Cosmos DB, and Data Lake Storage.
  • Designing and implementing data processing solutions: how to design and implement data processing solutions using Azure services, such as Azure Data Factory, Databricks, and Stream Analytics.
  • Designing and implementing data security solutions: how to design and implement data security solutions using Azure services, such as Azure Key Vault and Azure Active Directory.
  • Monitoring and optimizing data solutions: how to monitor and optimize data solutions using Azure services, such as Azure Monitor and Log Analytics.

Prerequisites

  • At least two years of experience in data engineering or a related field
  • In-depth knowledge of at least one high-level programming language
  • Knowledge of basic data processing and storage concepts
  • Familiarity with Azure services and architectures
  • A general understanding of security best practices for data processing on Azure

Study Duration

Microsoft recommends that candidates spend at least six months working with Azure services before attempting the certification exam.

Costs

The cost of the Microsoft Certified: Azure Data Engineer Associate certification exam is currently $165 USD. In addition to the exam fee, candidates may choose to purchase study materials or attend training courses, which can vary in cost.

Exams

The certification exam consists of 40-60 multiple-choice and multiple-response questions and must be completed within 180 minutes. The exam covers a range of topics related to data engineering on Azure, including data storage, processing, visualization, and security. Candidates must achieve a passing score of 700 out of 1000 to earn the certification.

4. Cloudera Certified Data Engineer

Overview

The Cloudera Certified Data Engineer (CCDE) certification is designed for individuals who have experience in developing, maintaining, and testing big data solutions using Apache Hadoop and related technologies. This certification validates an individual’s ability to design, develop, and deploy advanced big data solutions that meet business and technical requirements using Cloudera technologies.

Topics Covered

  • Data engineering: how to design, build, and maintain large-scale data processing systems using Apache Hadoop and related technologies.
  • Data ingestion and processing: how to ingest and process large volumes of data using tools like Apache Flume, Apache Kafka, Apache Spark, and Cloudera Stream Processing (CSP).
  • Data storage and retrieval: how to design and implement scalable and fault-tolerant storage solutions using technologies like Apache HDFS, Apache HBase, and Apache Kudu.
  • Data transformation and analysis: how to transform and analyze data using technologies like Apache Spark, Apache Hive, and Apache Impala.
  • Monitoring and troubleshooting: how to monitor and troubleshoot big data solutions using Cloudera Manager and other tools.

Prerequisites

  • At least three years of experience in data engineering or a related field
  • In-depth knowledge of at least one programming language, such as Java or Python
  • Experience working with Apache Hadoop and related technologies
  • Familiarity with Linux and basic shell scripting

Study Duration

Cloudera recommends that candidates spend at least six months working with Cloudera technologies before attempting the certification exam.

Costs

The cost of the Cloudera Certified Data Engineer (CCDE) certification exam is currently $400 USD. In addition to the exam fee, candidates may choose to purchase study materials or attend training courses, which can vary in cost.

Exams

The certification exam consists of 8-12 performance-based tasks and must be completed within 120 minutes. The exam tests an individual’s ability to design, develop, and deploy big data solutions using Cloudera technologies. Candidates must achieve a passing score of 70 out of 100 to earn the certification.

5. Databricks Certified Associate Developer for Apache Spark

Overview

The Databricks Certified Associate Developer for Apache Spark certification is designed for individuals who have experience in developing Apache Spark applications using Databricks. This certification validates an individual’s ability to design, develop, and deploy Spark applications using Databricks in a production environment.

Topics Covered

  • Spark fundamentals: how to write and run Spark applications, work with RDDs, and use Spark SQL.
  • Spark streaming: how to work with Spark Streaming, including building and deploying streaming applications.
  • Machine learning with Spark: how to use Spark MLlib to build and deploy machine learning models.
  • Deployment and optimization: how to deploy Spark applications to production environments and optimize their performance.

Prerequisites

  • Experience developing Spark applications using Databricks in a production environment
  • Knowledge of Spark fundamentals, including working with RDDs and Spark SQL
  • Familiarity with machine learning using Spark MLlib
  • Familiarity with deployment and optimization of Spark applications

Study Duration

Databricks recommends that candidates spend at least six months working with Databricks and Spark before attempting the certification exam.

Costs

The cost of the Databricks Certified Associate Developer for Apache Spark certification exam is currently $300 USD. In addition to the exam fee, candidates may choose to purchase study materials or attend training courses, which can vary in cost.

Exams

The certification exam consists of 60 multiple-choice questions and must be completed within 120 minutes. The exam tests an individual’s ability to design, develop, and deploy Spark applications using Databricks in a production environment. Candidates must achieve a passing score of 70 out of 100 to earn the certification.

6. SAS Certified Big Data Professional

Overview

The SAS Certified Big Data Professional certification is designed for individuals who work with big data and use SAS technologies to manage and analyze large datasets. This certification validates an individual’s ability to work with big data and use SAS tools to extract meaningful insights from it.

Topics Covered

  • SAS programming skills: how to use SAS programming language to read, manipulate, and analyze big data.
  • Data management: how to manage and manipulate large datasets, including cleaning and transforming data, handling missing data, and merging data.
  • Hadoop and Hive: how to work with Hadoop and Hive, including loading data into Hadoop, querying data with Hive, and creating and using Hive tables.
  • SAS and Hadoop integration: how to use SAS technologies to integrate with Hadoop, including using SAS/ACCESS to Hadoop and SAS Data Loader for Hadoop.
  • Advanced analytics: how to perform advanced analytics on big data, including predictive modeling and machine learning.

Prerequisites

  • A minimum of six months of experience working with big data and SAS technologies
  • Experience with SAS programming and data manipulation
  • Familiarity with Hadoop and Hive

Study Duration

SAS recommends that candidates spend at least six months working with big data and SAS technologies before attempting the certification exam.

Costs

The cost of the SAS Certified Big Data Professional certification exam is currently $180 USD. In addition to the exam fee, candidates may choose to purchase study materials or attend training courses, which can vary in cost.

Exams

The certification exam consists of multiple-choice and short-answer questions and must be completed within three and a half hours. The exam tests an individual’s ability to work with big data and use SAS technologies to manage and analyze large datasets. Candidates must achieve a passing score of 68% to earn the certification.

7. Google Cloud Certified – Professional Cloud Architect

Overview

The Google Cloud Certified – Professional Cloud Architect certification is designed for individuals who design and manage cloud solutions on the Google Cloud Platform (GCP). This certification validates an individual’s ability to design, develop, and manage secure, scalable, and reliable cloud solutions using GCP technologies.

Topics Covered

  • GCP infrastructure: how to design and manage GCP infrastructure, including networking, storage, and compute resources.
  • GCP services: how to use GCP services to develop and manage cloud solutions, including compute, storage, and database services.
  • Security and compliance: how to ensure the security and compliance of cloud solutions on GCP, including identity and access management, encryption, and regulatory compliance.
  • Solution design: how to design cloud solutions on GCP that are scalable, resilient, and cost-effective.
  • Technical management: how to manage the technical aspects of cloud solutions on GCP, including monitoring, logging, and debugging.

Prerequisites

There are no formal prerequisites for the Google Cloud Certified – Professional Cloud Architect certification, but Google recommends that candidates have:

  • At least three years of industry experience, including one year of designing and managing solutions on GCP
  • Familiarity with GCP technologies and services
  • Experience with designing and managing cloud solutions in general

Study Duration

Google recommends that candidates spend at least six months working with GCP technologies before attempting the certification exam.

Costs

The cost of the Google Cloud Certified – Professional Cloud Architect certification exam is currently $200 USD. In addition to the exam fee, candidates may choose to purchase study materials or attend training courses, which can vary in cost.

Exams

The certification exam consists of multiple-choice and multiple-select questions and must be completed within two hours. The exam tests an individual’s ability to design and manage cloud solutions on GCP. Candidates must achieve a passing score of 70% to earn the certification.

8. Microsoft Certified: Azure Solutions Architect Expert

Overview

The Microsoft Certified: Azure Solutions Architect Expert certification is designed for individuals who design and implement solutions on Microsoft Azure. This certification validates an individual’s ability to advise stakeholders and translate business requirements into secure, scalable, and reliable cloud solutions.

Topics Covered

  • Designing and implementing solutions on Azure: how to design and implement solutions that meet business requirements and use Azure services effectively.
  • Security and compliance: how to ensure the security and compliance of cloud solutions on Azure, including identity and access management, encryption, and regulatory compliance.
  • Infrastructure and networking: how to design and implement Azure infrastructure and networking solutions that are scalable and resilient.
  • Data storage and management: how to design and implement Azure data storage and management solutions that are efficient and secure.
  • Business continuity and disaster recovery: how to design and implement Azure solutions that ensure business continuity and disaster recovery.

Prerequisites

To earn the Microsoft Certified: Azure Solutions Architect Expert certification, candidates must first pass two exams:

  • Exam AZ-303: Microsoft Azure Architect Technologies
  • Exam AZ-304: Microsoft Azure Architect Design

There are no formal prerequisites for these exams, but Microsoft recommends that candidates have:

  • At least two years of industry experience, including one year of designing solutions on Azure
  • Familiarity with Azure technologies and services
  • Experience with designing and managing cloud solutions in general

Study Duration

Microsoft recommends that candidates spend at least six months working with Azure technologies before attempting the certification exams.

Costs

The cost of each certification exam is currently $165 USD. In addition to the exam fees, candidates may choose to purchase study materials or attend training courses, which can vary in cost.

Exams

Both certification exams consist of multiple-choice and multiple-select questions and must be completed within three hours. The exams test an individual’s ability to design and implement solutions on Azure. Candidates must achieve a passing score of 700 out of 1000 to earn each certification.

9. AWS Certified Solutions Architect – Associate

Overview

The AWS Certified Solutions Architect – Associate certification validates the technical skills and knowledge required to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform.

Topics Covered

  • Designing and deploying scalable, highly available, and fault-tolerant systems on AWS
  • Lift and shift of an existing on-premises application to AWS
  • Ingress and egress of data to and from AWS
  • Selecting the appropriate AWS service based on data, compute, database, or security requirements
  • Identifying appropriate use of AWS architectural best practices
  • Estimating AWS costs and identifying cost control mechanisms

Prerequisites

There are no formal prerequisites for the AWS Certified Solutions Architect – Associate certification, but it is recommended that candidates have some experience with AWS services and knowledge of basic architectural principles.

Study Duration

The length of time it takes to prepare for and pass the certification exam varies depending on the individual’s prior experience and knowledge of AWS services. Some candidates may require several weeks or months of preparation, while others may only need a few weeks.

Costs

The cost of the AWS Certified Solutions Architect – Associate certification exam is $150 USD. However, additional costs may be incurred for study materials, practice exams, and training courses.

Exams

The certification exam consists of 65 multiple-choice and multiple-response questions, and candidates are given 130 minutes to complete it. The exam is computer-based and can be taken at a testing center or remotely. To pass the exam, candidates must score at least 720 out of 1000 points.

10. CompTIA Cloud+ Certification

Overview

CompTIA Cloud+ Certification is a vendor-neutral certification that validates the skills and knowledge required to deploy and manage cloud computing systems. It is designed for professionals who work with cloud technologies, including AI Data Engineers, cloud architects, cloud developers, and system administrators.

Topics Covered

  • Cloud architecture and design
  • Deployment, maintenance, and management of cloud systems
  • Security in the cloud environment
  • Troubleshooting and optimization of cloud systems
  • Automation and orchestration of cloud systems

Prerequisites

There are no prerequisites for the CompTIA Cloud+ certification, although it is recommended that candidates have at least two to three years of experience working with cloud technologies.

Study Duration

Candidates should expect to spend several months preparing for the exam, depending on their level of experience.

Costs

The cost of the certification exam varies by location, but it typically ranges from $329 to $349 USD. Training courses and study materials are available for an additional cost.

Exams

The CompTIA Cloud+ certification exam consists of 90 multiple-choice questions, which must be completed within 90 minutes. The exam is available in several languages, including English, Japanese, and Portuguese. The exam covers a range of topics related to cloud computing, including cloud architecture, deployment and maintenance, security, troubleshooting, and automation.

In conclusion, obtaining a certification in AI Data Engineering can be a significant step in advancing one’s career and demonstrating their knowledge and skills to potential employers. The certifications we’ve discussed in this post are some of the most highly regarded in the industry and cover a broad range of topics, from cloud computing to machine learning and big data. By investing time and effort into obtaining these certifications, AI Data Engineers can stand out in a competitive job market, increase their earning potential, and keep up with the latest industry trends and best practices. Whether you’re just starting in this field or looking to expand your skill set, obtaining one of these certifications is definitely worth considering.


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