{"id":8255,"date":"2021-12-03T12:31:32","date_gmt":"2021-12-03T20:31:32","guid":{"rendered":"https:\/\/www.springboard.com\/?p=8255"},"modified":"2023-08-18T09:21:20","modified_gmt":"2023-08-18T16:21:20","slug":"machine-learning-certificates","status":"publish","type":"post","link":"https:\/\/www.springboard.com\/blog\/data-science\/machine-learning-certificates\/","title":{"rendered":"10 Best Machine Learning Certifications to Boost Your Career"},"content":{"rendered":"\n

There\u2019s never been a better time to earn a machine learning certification. Record levels of funding poured into AI startups this year, and AI hiring has increased by 32% since 2019. AI and machine learning skills are highly sought-after by employers, and demand for these skills is slated to grow by 71% over the next 5 years. <\/p>\n\n\n\n

According to Sundar Pichai, CEO of Alphabet Inc. and its subsidiary Google, the social impacts of AI will surpass those of fire and electricity. AI now supports complex, critical infrastructure like electric grids, food warehousing and distribution, cybersecurity, healthcare, and more\u2014and its numerous applications are growing. In 2020, the global AI market was valued at $35.92 billion and is projected to grow to $360.36 billion in 2028 as demand for AI solutions continues to expand across industries. <\/p>\n\n\n\n

To land a role in the field, you\u2019ll need proven production engineering skills and a strong portfolio that showcases your ability to design, prototype, and deploy a machine learning or deep learning system. A machine learning certification can help you build key skills and accrue the vital hands-on experience you need to get hired. <\/p>\n\n\n\n

Do You Really Need a Machine Learning Certificate?<\/h2>\n\n\n\n
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While theoretical knowledge is important, it\u2019s not enough to secure a machine learning position. You\u2019ll need to practically demonstrate your mastery of machine learning concepts to impress hiring managers. Many candidates lack the applied skills necessary to succeed in machine learning roles, so building production engineering skills through a machine learning certification program is a way to make your application robust and competitive. <\/p>\n\n\n\n

The best machine learning certifications will help you master specific tools and technical concepts and guide you through the process of building realistic, complete machine learning applications. A machine learning certification will also validate your machine learning expertise in hiring contexts. Machine learning certifications that emphasize job readiness and offer career support will be most effective in helping you land your dream role. <\/p>\n\n\n\n

The Best Machine Learning Certifications<\/h2>\n\n\n\n

Want to evaluate your options? Let\u2019s compare top machine learning certifications on the basis of cost, duration, reputation, and more. <\/p>\n\n\n\n

Springboard\u2019s Machine Learning Engineering Career Track<\/h3>\n\n\n\n
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Students enrolled in Springboard\u2019s Machine Learning Engineering Career Track<\/a> learn how to create and deploy ML algorithms, all while building a professional portfolio<\/a> that will stand out to hiring managers. <\/p>\n\n\n\n

What We Like About This Certification<\/h4>\n\n\n\n

Springboard\u2019s machine learning certification program matches students with industry expert mentors, who provide unlimited one-to-one support throughout the duration of the course. This machine learning certification also emphasizes hands-on skill building, and 50% of the program focuses on production engineering skills. <\/p>\n\n\n\n

Certification Details<\/h4>\n\n\n\n

This 500-hour course typically takes six months to complete at a pace of 15-20 hours of learning per week\u2014although those with prior programming experience may finish faster. <\/p>\n\n\n\n

The program costs $13,140, but students who pay tuition upfront receive a 17% discount, which lowers the total cost to $10,900. Students can pay tuition over the course of six months, or defer payments until after landing a job. <\/p>\n\n\n\n

Springboard\u2019s Machine Learning Engineering Career Track boasts a curated curriculum that covers the machine learning engineering stack, battle-tested machine learning models, deep learning, computer vision and image processing, machine learning models at scale and in production, and deploying ML systems to production. <\/p>\n\n\n\n

Springboard\u2019s courses are highly rated on review boards like CourseReport<\/a>, which awarded Springboard \u201cBest Online Bootcamp\u201d commendations in 2019, 2020, and 2021. Since Springboard\u2019s founding, 94% of eligible graduates have won jobs within a year of completing their certification. Springboard grads have earned an average salary bump of $26k. <\/p>\n\n\n\n

AWS Certified Machine Learning \u2014 Specialty <\/h3>\n\n\n\n
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Offered by Amazon, this certification<\/a> proves expertise in creating, training, refining, and deploying machine learning models on the AWS Cloud. To earn this certification, candidates must pass the AWS Certified Machine Learning \u2013 Specialty exam. No coursework is required, but independent preparation is recommended. <\/p>\n\n\n\n

What We Like About This Certification<\/h4>\n\n\n\n

This certification is designed for machine learning professionals with more than one year of experience developing and deploying machine learning or deep learning models in the AWS Cloud\u2014which means it\u2019s a great way for those who\u2019ve already built machine learning skills to validate their cloud expertise with an industry-recognized credential. <\/p>\n\n\n\n

Certification Details<\/h4>\n\n\n\n

Candidates receive 180 minutes to complete the exam, which consists of 65 multiple choice or multiple response questions. Amazon offers free and paid study resources to help candidates prepare for the test independently. The exam costs $300, and a practice exam costs $40. <\/p>\n\n\n\n

This certification evaluates a candidate\u2019s ability to solve business problems with appropriate machine learning solutions, identify appropriate AWS services to implement machine learning solutions, and deploy scalable, cost-effective machine learning solutions. The exam covers data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. <\/p>\n\n\n\n

Amazon is an industry leader in the field of AI, meaning this certification will confer a high level of confidence in your technical knowledge and core competencies. As per this recent survey<\/a>, 70% of interviewed AWS professional certificate holders reported a 20% salary increase after earning their certification\u2014showing that this credential carries weight with employers.<\/p>\n\n\n

Get To Know Other\tData Science Students<\/h4>
\"Bryan<\/a>

Bryan Dickinson<\/p>

Senior Marketing Analyst at REI<\/p><\/div>

<\/div>

Read Story<\/a><\/p><\/div><\/div>

\"Haotian<\/a>

Haotian Wu<\/p>

Data Scientist at RepTrak<\/p><\/div>

Read Story<\/a><\/p><\/div><\/div>

\"Esme<\/a>

Esme Gaisford<\/p>

Senior Quantitative Data Analyst at Pandora<\/p><\/div>

Read Story<\/a><\/p><\/div><\/div><\/div><\/div>\n\n\n\n

Professional Machine Learning Engineer by Google<\/h3>\n\n\n\n
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This certification<\/a> measures your ability to design, build, and productionize machine learning models with Google Cloud technologies. Candidates must pass an exam to earn this certification, which is designed for machine learning engineers with at least three years of industry experience and one year or more of experience with the Google Cloud platform. <\/p>\n\n\n\n

What We Like About This Certification<\/h4>\n\n\n\n

Google offers a variety of resources to support exam preparation. Candidates can experiment with Google Cloud Free Tier for select products. Additionally, Google offers no-cost self-study courses as well as webinars and an exam guide. Newcomers to the platform can also explore the documentation and hands-on guides that address the use of machine learning methods and tools on Google Cloud.<\/p>\n\n\n\n

Certification Details<\/h4>\n\n\n\n

Candidates are allotted two hours to take the exam, which costs $200. This certification assesses proficiency with framing and solving machine learning problems and ML model development. It also measures skills related to the design of data preparation and processing systems as well as the automation and orchestration of machine learning pipelines. <\/p>\n\n\n\n

Google\u2019s core competency is artificial intelligence and machine learning, and its cloud platform is a popular tool for leveraging AI solutions. In fact, Job listings citing \u201cGoogle Cloud” as a desired skill have increased tenfold<\/a> over the past three years. In addition to verifying your expertise in the eyes of hiring managers, this certification also opens up access to the Google Cloud Certified community and Credential Holder Directory\u2014which can be used to tap into new job opportunities. <\/p>\n\n\n\n

Azure AI Engineer Associate by Microsoft<\/h3>\n\n\n\n
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This certification<\/a>\u2014which candidates earn through passing an exam\u2014verifies your ability to implement AI solutions using Azure Cognitive Services and Azure Applied AI services. Candidates should be proficient in C# or Python and should have experience using REST-based APIs and SDKs to develop and deploy natural language processing, knowledge mining, computer vision, and conversational AI solutions on Azure. <\/p>\n\n\n\n

What We Like About This Certification<\/h4>\n\n\n\n

Microsoft offers free, self-directed learning paths to help candidates prepare for the Azure AI Engineer Associate exam. Some learning paths focus on broader topics like extracting text from images and documents, while others focus on learning how to use Azure\u2019s services to perform key tasks. Alternatively, Microsoft also offers a paid, instructor-led course to help candidates prep for their test. <\/p>\n\n\n\n

Certification Details<\/h4>\n\n\n\n

Registration for Microsoft\u2019s certification exam costs $165. The exam covers the following topics:<\/p>\n\n\n\n