Looking for the best industry-ready and most recognized Machine Learning certifications?
There are many Machine Learning certifications available online. Choosing the ONE certified ML program among them can be difficult. You need to analyze the suitability of these Machine Learning certified programs and evaluate the value they add to your CV.
No need to look further.
Here is a complete handpicked list of the most industry-recognized and best Machine Learning certifications you can consider if you want your CV to stand out.
Top Machine Learning certifications
Google Professional Machine Learning Engineer Certification
This is regarded as one of the top Machine Learning training and certifications available online. The Google Professional Machine Learning Engineer Certification program helps you learn how to build, architect, and deploy ML models using Google Cloud and Vertex AI.
Cost: Paid
Best suited for: This ML certification is for intermediate and advanced-level professionals with experience in cloud technologies and Machine Learning. On completion, you have to take a 2-hour online proctored exam to earn the certificate. As a result, it adds significant value to your CV and is highly regarded among modern tech employers.
AWS Certified Machine Learning Engineer – Associate
AWS Certified Machine Learning Engineer – Associate is a specialty Machine Learning certification for professionals for deploying cloud-driven ML architecture. This certification program covers exploratory data analysis, modeling, data engineering, and more using Amazon SageMaker.
Cost: Paid
Best suited for: The AWS Machine Learning certification is for cloud engineers, data scientists, and professional ML practitioners. This certification requires at least two years of experience in Machine Learning. To earn the certification, you can either take an online proctored exam or choose an in-person testing center.
IBM Machine Learning Professional Certificate
This is an IBM-certified ML program, one of the best Machine Learning certifications for beginners. It presents theoretical concepts with hands-on projects and is suitable for aspiring professionals.
Cost: Paid (subscription-based)
Best suited for: This is another top Machine Learning certification suitable for intermediate professionals with knowledge of Python, linear algebra, and statistics. You can also build open-source projects for your portfolio during this learning program, which adds practical skills to your CV.
DeepLearning.AI Machine Learning Specialization (by Andrew Ng)
DeepLearning ML certification is a highly respected Machine Learning credential that combines theoretical knowledge with practical application through hands-on activities.
Cost: Paid (subscription-based)
Best suited for: This Machine Learning certification is suitable for beginners, data analysts, and software engineers who want a solid foundation in ML. If you are an early-stage software developer or IT professional, you can use this ML certification program to upskill and gain applied Machine Learning capabilities. This certification requires knowledge of foundational algebra, arithmetic, and basic coding.
Stanford Online Machine Learning Specialization
This is the newest version of Andrew Ng’s popular Stanford ML certification program. It consists of topics such as supervised and unsupervised learning, as well as best practices for Machine Learning innovation.
Cost: Paid (subscription-based)
Best suited for: This is one of the best and most recognized Machine Learning certifications, suitable for beginners with no prior knowledge. It is also useful for tech professionals, data analysts, and ML enthusiasts who are interested in building ML models for real-world applications.
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Professional Certificate Program in Machine Learning & Artificial Intelligence – Massachusetts Institute of Technology (MIT)
MIT offers the Professional Certificate Program in Machine Learning & Artificial Intelligence for professionals seeking specialized knowledge in ML. This program is guided by MIT faculty and industry experts to help you learn how to build Machine Learning models in real-world environments.
Cost: Paid (premium)
Best suited for: This certification is suited for data scientists, software engineers, and experienced professionals looking to strengthen their knowledge in Machine Learning. An MIT certification on your CV is a great addition, as MIT is globally recognized for high-quality technical training.
Professional Certificate in Tiny Machine Learning (TinyML) – Harvard University
This is an industry-recognized professional Machine Learning certification, a collaborative program of Harvard University with Google TensorFlow. You will learn the fundamentals of ML, deep learning, and embedded devices.
Cost: Paid (premium)
Best suited for: This Machine Learning certification is for IoT professionals, engineers, and Machine Learning enthusiasts who want to learn to deploy ML models in low-powered resource-constrained devices. TinyML is an emerging solution in consumer electronics, healthcare, and industry automation. An ML certification from Harvard University can definitely help you build a powerful resume, demonstrating your expertise in developing practical Machine Learning solutions.
Databricks Certified Machine Learning (Associate/Professional)
The Databricks Certified Machine Learning program offers two levels: associate and professional. This Machine Learning certification allows you to build and deploy ML models within Databricks Lakehouse architecture. Exams on both levels are proctored.
Cost: Paid
Best suited for: this is considered one of the top Machine Learning certifications for ML engineers, data scientists, and experienced professionals who want to build enterprise-level production-ready Machine Learning solutions. Having this specialized ML certification on your CV proves you can build and deploy end-to-end machine learning pipelines on Big Data infrastructure. As a result, this professional Machine Learning credential can significantly strengthen your CV.
HarvardX: Data Science: Building Machine Learning Models
This is a self-paced online Machine Learning certification program offered by Harvard Online. In this program, you learn the basics of Machine Learning, perform cross-validation, and build a recommendation system.
Cost: Paid
Best suited for: It is best suited for beginner to intermediate ML learners. This Machine Learning certification includes theoretical and practical implementation of ML models. This Harvard certification adds significant value to your CV, demonstrating your technical skills for data-driven roles.
Comparison between the best Machine Learning certifications we have discussed
| Certification | Institution/Platform | Suitable for | Learning mode | Value to CV |
|---|---|---|---|---|
| Google Professional Machine Learning Engineer | Intermediate to advanced | Online (Proctored exam) | High | |
| AWS Certified ML Engineer – Associate | Amazon Web Services (AWS) | Cloud engineers, data scientists, and ML practitioners | Online (Proctored exam) | High |
| IBM Machine Learning Professional Certificate | IBM / Coursera | Beginners to intermediate developers with Python basics | Online (Self-paced, free audit available) | Medium-High |
| DeepLearning.AI Machine Learning Specialization (by Andrew Ng) | DeepLearning.AI (Andrew Ng) | Beginners, software engineers, and data analysts | Online (Self-paced, free audit available) | High |
| Stanford Online Machine Learning Specialization | Stanford Online / Coursera | Beginners with a prior machine learning background | Online (Self-paced, free audit available) | High |
| Professional Certificate Program in Machine Learning & Artificial Intelligence – Massachusetts Institute of Technology (MIT) | MIT | Experienced engineers, data scientists, and tech leads | Online | Very High |
| Tiny Machine Learning (TinyML) – Harvard University | Harvard University | IoT professionals, engineers, and enthusiasts | Online (Self-paced, free audit available) | High |
| Databricks Certified Machine Learning (Associate/Professional) | Databricks Academy | MLOps engineers and big data specialists | Online (Proctored Exam) | High |
| HarvardX: Data Science: Building Machine Learning Models | Harvard University / edX | Aspiring data scientists, analysts, and R developers | Online (Self-paced, free audit available) | High |
Conclusion
Machine Learning certifications are a great way to strengthen your CV and pass the Applicant Tracking System (ATS). A good and recognized ML certification can help you validate your learning and practical skills.
If you are confused about which certification program to choose from the list above, first consider each program’s cost. Some of the Machine Learning certifications are free, but for the certification, you would have to pay the fees for the program.
If you are a beginner, go for IBM or Stanford’s Machine Learning certifications. Experienced professionals should pursue ML certifications offered by the Google, AWS, Harvard, or Databricks. Carefully read the information before you register, and make sure the program program’s curriculum aligns with your career goals and previous prior domain expertise. A Machine Learning certification cannot guarantee a job, but it sure can strengthen your CV and make it stand out to employers.
Find the right Machine Learning institutes near you using CourseVidya.com, India’s own course search engine. You can compare institutes side by side and contact them instantly from a single unified platform.
