Top 10 Knowledge Engineer Certifications

Certifications are important for knowledge engineers in the job market because they demonstrate a level of expertise and a commitment to professional development. Certifications can also be used as a way to differentiate yourself from other applicants and show potential employers that you have the skills and knowledge necessary for the position. Certifications may also help you gain access to higher paying positions or open doors to opportunities that would otherwise be unavailable. Additionally, certifications may provide access to valuable networks of professionals who can offer advice and support throughout your career.

This article reviews the top certifications for Knowledge Engineers and outlines how they can contribute to a Knowledge Engineer's career.

What are Knowledge Engineer Certifications?

Knowledge engineer certification is a type of professional certification that recognizes the skills and knowledge required for working in the field of knowledge engineering. Knowledge engineering is a specialized field of computer science that focuses on creating systems that can acquire and process knowledge from experts, databases, and other sources to produce insights, advice, or recommendations. Knowledge engineers combine principles from artificial intelligence, natural language processing, machine learning, and other disciplines to design these systems.

Knowledge engineer certification helps individuals demonstrate their expertise in knowledge engineering by providing them with an official credential they can use when applying for jobs or pursuing career advancement opportunities. By obtaining this certification, professionals show potential employers that they have the necessary skills and experience to work effectively in this field. It also provides students with a formal way to validate their knowledge engineering capabilities before entering the job market. Additionally, it offers employers assurance that they are hiring individuals who possess the qualifications needed to do the job correctly.

Pro Tip: When considering a knowledge engineer certification, make sure to research the program thoroughly and ensure that it is accredited and recognized by relevant industry organizations. Additionally, it is wise to read reviews from current and past students to get an accurate idea of the quality of instruction and resources provided.

Related: What does a Knowledge Engineer do?

Top 10 Knowledge Engineer Certifications

Here’s our list of the best certifications available to Knowledge Engineers today.

1. Certified Knowledge Engineer (CKE)

Certified Knowledge Engineer (CKE) is a professional certification awarded by the International Association for Information and Data Science (IAIDS). It is designed to recognize individuals who have demonstrated mastery of knowledge engineering concepts, principles, and practices. The CKE certification validates an individual’s understanding of data science, analytics, machine learning, artificial intelligence, natural language processing, and other related technologies.

The CKE certification requires passing an online exam that consists of multiple choice questions. It typically takes around 2-3 hours to complete the exam. The cost of the exam is $250 USD. To get certified as a CKE, you must have at least three years of experience in knowledge engineering or related fields such as data science or artificial intelligence. Additionally, you must pass the CKE exam with a score of 70% or higher.

2. Certified Artificial Intelligence Expert (CAIE)

Certified Artificial Intelligence Expert (CAIE) is a professional certification program offered by the International Institute of Artificial Intelligence (IIAI). The CAIE program is designed to provide individuals with the knowledge, skills and abilities needed to become successful in the field of artificial intelligence. It covers topics such as machine learning, natural language processing, deep learning, and computer vision.

The CAIE program consists of two parts: an online course and an in-person exam. The online course covers the basics of AI and provides students with an introduction to the technology. The in-person exam tests students' knowledge on specific AI topics.

The entire CAIE program usually takes about six months to complete. During this time, students must take the online course and pass the in-person exam. Students can also choose to take additional courses or workshops if they wish to further their education in AI.

In order to get certified as a CAIE, individuals must first register for the program through IIAI's website. After registering, they will receive access to the online course materials and will be able to begin studying for their exam right away. Once they have completed their studies, they will need to schedule an appointment with IIAI for their in-person exam.

The cost of becoming a Certified Artificial Intelligence Expert varies depending on which package you choose from IIAI's website. Generally speaking, packages range from $500-$2000 USD depending on what type of support you need during your studies and how quickly you want to complete your certification process.

3. Certified Machine Learning Engineer (CMLE)

A Certified Machine Learning Engineer (CMLE) is a professional who has the knowledge and skills to design, develop, deploy, and maintain machine learning solutions. The certification is designed for engineers who want to demonstrate their expertise in the field of machine learning.

The certification requires candidates to pass an exam that tests their knowledge and understanding of the fundamentals of machine learning, including topics such as supervised and unsupervised learning algorithms, data pre-processing techniques, model evaluation methods, optimization strategies, and deep learning architectures.

The exam takes approximately 4 hours to complete and consists of multiple-choice questions. Candidates must score at least 70% on the exam in order to receive their certification.

The cost of the CMLE certification is $499 USD. This fee covers the cost of the exam as well as access to online study materials and practice exams.

4. Certified Business Intelligence Professional (CBIP)

Certified Business Intelligence Professional (CBIP) is a certification program offered by the International Institute of Business Analysis (IIBA). It is designed to recognize professionals who have achieved a high level of expertise in the field of business intelligence. The CBIP certification provides an objective measure of knowledge and skills in the areas of data warehousing, analytics, reporting, and visualization.

The CBIP certification program consists of three levels: Associate, Professional, and Expert. Each level requires passing a written exam that covers topics such as data modeling, ETL processes, data warehousing fundamentals, and more. The exams are administered by Pearson VUE testing centers worldwide.

To become certified at any level requires a minimum of two years' experience in business intelligence or related fields. To become an Expert requires five years' experience.

The cost for each exam varies depending on location and currency exchange rates but generally ranges from $200 to $400 USD per exam. Once all exams have been passed successfully, there is an annual maintenance fee of $100 USD to keep the certification active.

5. Certified Data Scientist (CDS)

Certified Data Scientist (CDS) is a professional certification offered by the International Institute for Analytics (IIA). It is designed to recognize professionals who have demonstrated mastery in the field of data science. The certification requires candidates to demonstrate knowledge and skills in areas such as data analysis, machine learning, statistical modeling, and programming.

To become a Certified Data Scientist, applicants must pass an exam that covers topics such as data wrangling, exploratory analysis, supervised and unsupervised learning algorithms, model evaluation and selection, big data technologies, and communication of results. The exam consists of multiple-choice questions and takes approximately four hours to complete.

The cost of the CDS certification exam varies depending on where it is taken. In the United States, it costs $495 USD; in Canada it costs $595 CAD; in Europe it costs €395 EUR; in India it costs ₹2995 INR; in Australia it costs $595 AUD; and in other countries it costs $495 USD.

In order to get certified as a Data Scientist by IIA, applicants must first register for the exam on the IIA website. Once registered, they can then access study materials via the IIA Learning Portal or purchase additional resources from third-party vendors. After studying for the exam and passing all components successfully, applicants will be awarded their CDS designation.

6. Certified Natural Language Processing Engineer (CNLP)

A Certified Natural Language Processing Engineer (CNLP) is a professional who specializes in the development, implementation, and maintenance of natural language processing (NLP) systems. NLP is a branch of artificial intelligence that enables machines to understand human language and interact with humans in natural ways. CNLP engineers are responsible for creating algorithms and software programs that enable computers to interpret and process human language accurately.

It typically takes two to three years of experience working with NLP systems before one can become certified as a CNLP engineer. To become certified, you must pass an exam administered by the Association for Natural Language Processing (ANLP). This exam tests your knowledge of NLP concepts, algorithms, and programming languages used in the field.

The cost of taking the ANLP certification exam varies depending on the country in which you take it. In the US, it costs $400 USD to take the exam. The cost also includes a one-year membership to ANLP which gives you access to additional resources such as webinars and conferences related to NLP topics.

Once you have passed the exam, you will receive your official CNLP certificate from ANLP which will be valid for three years. After this period has expired, you will need to renew your certification by taking another exam or completing continuing education credits related to NLP topics.

7. IBM Watson Certification

IBM Watson Certification is a professional certification program that demonstrates your expertise in the IBM Watson platform. The certification is designed to validate technical skills and knowledge of the IBM Watson platform, including its various components, such as Natural Language Processing (NLP), Machine Learning (ML), Cognitive Computing, and more. The certification is available for both developers and data scientists.

To get certified, you must take an online exam that covers topics such as designing cognitive applications, developing cognitive solutions with IBM Watson services, and understanding the fundamentals of machine learning. The exam consists of multiple-choice questions and takes approximately 90 minutes to complete.

The cost of the exam varies depending on your region but typically ranges from $100 to $200 USD. After passing the exam, you will receive an official IBM Watson Certification badge that can be displayed on your website or social media profiles. You will also receive a digital certificate that you can use to demonstrate your expertise in the IBM Watson platform.

8. Microsoft Professional Program in AI

Microsoft Professional Program in AI is a comprehensive program designed to help professionals gain the skills and knowledge needed to become an expert in Artificial Intelligence (AI). The program consists of 10 courses that cover topics such as machine learning, natural language processing, computer vision, and more. It is intended for those who have some experience with coding and data science.

The program takes about 6 months to complete. It includes hands-on labs and projects that help you apply your new skills in real-world scenarios. You can also access additional resources such as webinars and blogs to further your knowledge.

To get the Microsoft Professional Program in AI, you must first register on the Microsoft Professional Program website. You will then be able to enroll in the courses available through the program. Each course has a fee associated with it, so you will need to pay for each course individually or purchase a bundle package if available.

The cost of the Microsoft Professional Program in AI varies depending on which courses you choose and how many you take. Generally speaking, it can range from $500 USD up to $1,000 USD or more depending on your selection of courses.

9. Oracle Autonomous Database Cloud 2020 Specialist

Oracle Autonomous Database Cloud 2020 Specialist is a certification program designed to demonstrate a professional’s knowledge of Oracle Autonomous Database Cloud technology. This certification is available to individuals who have completed the Oracle Autonomous Database Cloud 2020 course and passed the associated exam. The certification is valid for three years from the date of completion.

The Oracle Autonomous Database Cloud 2020 course covers topics such as cloud computing, database security, data management, and performance tuning. It also provides an in-depth look at how to use Oracle's cloud-based database solutions. Upon successful completion of the course and passing the associated exam, you will be awarded the Oracle Autonomous Database Cloud 2020 Specialist certification.

It typically takes about two weeks to complete the course and pass the associated exam. To get started, you must first register for the course on Oracle's website. Once registered, you can access all of the course materials online or download them for offline viewing. You will then need to complete all of the modules within two weeks in order to be eligible for taking the exam.

The cost of this certification program varies depending on your region and country but typically ranges between $500 - $1000 USD.

10. AWS Certified Machine Learning - Specialty

AWS Certified Machine Learning - Specialty is a certification that demonstrates an individual's expertise in using Amazon Web Services (AWS) to build, train, and deploy machine learning models. It is designed to validate the skills of experienced ML practitioners who have a deep understanding of AWS services and ML best practices.

It typically takes about 4-6 months of preparation to become certified. This includes studying for the exam, taking practice tests, and gaining hands-on experience with AWS services related to machine learning.

To get the certification, you must first register for the exam through the AWS Certification Portal. After registering, you must pass an online proctored exam that consists of multiple choice questions and performance-based tasks. The exam fee is $300 USD.

Do You Really Need a Knowledge Engineer Certificate?

The answer to this question depends on your goals and what you want to achieve with a Knowledge Engineer Certificate. A Knowledge Engineer Certificate can be very helpful for those who want to pursue a career in knowledge engineering or artificial intelligence. With the knowledge engineer certificate, you will be able to show potential employers that you have the necessary skills and experience to work in the field.

Having a certificate in knowledge engineering will also make it easier for you to find jobs in the industry. It is becoming increasingly important for companies to hire knowledgeable employees who are up-to-date on the latest technology and trends in the industry. A certificate shows that you have taken time out of your life to learn about this specific area and that you are serious about pursuing a career in it.

In addition, having a certificate can also open up opportunities for further education or research into artificial intelligence and other related fields. This can lead to new job opportunities or even advancement within your current position.

Overall, whether or not you need a Knowledge Engineer Certificate is entirely up to you and your own individual goals. If you are interested in pursuing a career in knowledge engineering or artificial intelligence, then having this certification could be beneficial for your future prospects.

Related: Knowledge Engineer Resume Examples

FAQs About Knowledge Engineer Certifications

Q1. What is a Knowledge Engineer Certification?

A1. A Knowledge Engineer Certification is a credential that demonstrates mastery of the principles and techniques of knowledge engineering. It is granted to individuals who have demonstrated their ability to create, maintain and deploy knowledge-based systems.

Q2. What are the benefits of obtaining a Knowledge Engineer Certification?

A2. Obtaining a Knowledge Engineer Certification can help demonstrate your expertise in knowledge engineering and increase your chances of securing jobs in this field. Additionally, having the certification may also make you eligible for higher salaries and other job opportunities.

Q3. How do I become certified as a Knowledge Engineer?

A3. To become certified as a Knowledge Engineer, you must pass an exam administered by an accredited institution or organization. You will need to demonstrate knowledge in areas such as data management, artificial intelligence, natural language processing, and machine learning algorithms.

Q4. How long does it take to get certified as a Knowledge Engineer?

A4. The time it takes to get certified as a Knowledge Engineer varies depending on experience level and the institution offering the certification program. Generally speaking, it takes between 6 months to 2 years to complete the necessary coursework and exams required for certification.

Q5. Are there any prerequisites for taking the exam?

A5: Yes, most organizations offering knowledge engineer certifications require applicants to have at least two years of professional experience in related fields such as software development or computer science before they can take the exam. Additionally, some programs may also require applicants to pass additional tests or show proof of academic qualifications before being allowed to take the exam.