Best MLOps Courses Online with Certificates [2024]

Machine learning (ML) is transforming industries, but unleashing its real world power requires more than just building cool models. You need a way to deploy, monitor, and maintain them – that's where MLOps comes in. Think of MLOps as the bridge between data science and software engineering, ensuring your ML creations deliver tangible results.

If you are looking to level up your skills or jump into this exciting field, this guide explores some of the best online MLOps courses with certificates in 2024. Let's also answer some burning questions about MLOps training and certifications.

Learning MLOps in 2024: Your Options

The beauty of learning MLOps in 2024 is the variety of options available. Here are some popular paths:

• Online Courses: Platforms like igmGuru, Coursera, and Udemy offer a treasure trove of courses catering to all levels, from newbie to seasoned pro. Expect video lectures, hands-on exercises, and certificates upon completion.

• Bootcamps: Boot camps offer an intensive learning experience, often lasting weeks or months. They typically combine lectures, coding exercises, and projects, fast-tracking your path to an MLOps career.

• University Programs: Universities are increasingly recognizing the MLOps demand. You can find graduate degrees and certificate programs that provide a strong theoretical foundation alongside practical skills development.

• Self-Learning: For the self-directed learners out there, a wealth of online resources awaits! Tutorials, documentation, open-source projects, and excellent MLOps books can equip you with the necessary knowledge.

Choosing the Perfect Course

Finding the "best" MLOps course online depends on your background and goals. Here are some factors to consider:

• Your MLOps Experience: Are you a complete beginner in both ML and software engineering, or do you have a solid foundation in one or both? Beginner courses will build your core competencies, while advanced courses delve deeper into specific topics.

• Learning Style: Do you thrive on video lectures, prefer interactive exercises, or learn best through projects? Different courses cater to different learning styles.

• Time Commitment: Be realistic about how much time you can dedicate each week. Course durations vary greatly, so choose one that fits your schedule.

• Budget: Free and paid options are available. Free courses offer a great starting point, while paid courses often provide more in-depth content, personalized feedback, and even career support.

MLOps Certifications: Worth It?

There isn't a universally recognized MLOps certification yet. However, many platforms offer their own certificates upon course completion. These demonstrate your commitment to learning and can enhance your resume, even though they are not mandatory for an MLOps career. Additionally, cloud providers like Google and Amazon offer certifications specific to their MLOps platforms, which can be valuable if you plan to work in that particular cloud environment.

Is MLOps the Future?

As ML adoption skyrockets, the demand for skilled MLOps professionals will only soar. MLOps professionals bridge the gap between data science teams and production environments, ensuring that valuable ML models are successfully deployed and deliver real business impact.

Top-Notch MLOps Courses with Certificates (2024 Edition)

Now, let's explore some of the best MLOps courses with certificates available online in 2024, catering to different learning needs and experience levels:

• Machine Learning Engineering for Production (MLOps) Specialization by DeepLearning.AI (igmGuru): Led by the renowned deep learning expert Andrew Ng, this comprehensive specialization takes you through the entire MLOps lifecycle, from model development to monitoring. Expect video lectures, hands-on labs, and a final project to solidify your learnings.

• MLOps | Machine Learning Operations: This course provides a solid foundation in MLOps concepts, tools, and methodologies. You'll dive into version control, CI/CD pipelines, containerization, and popular MLOps tools like MLflow.

• Made with ML's MLOps Course: This free, project-based course by Goku Mohandas (Apple) focuses on building a complete MLOps pipeline with a strong emphasis on software engineering best practices. While it doesn't include video lectures yet, the high-quality code examples and active community make it a valuable resource.

In Conclusion

Pursuing an MLOps course online can be a valuable investment in your career, especially in the rapidly evolving field of machine learning. Choose a course that aligns with your learning goals and start building your skills in MLOps today.