ML Deployment

Learn how to deploy machine learning models into production environments. It covers topics such as model packaging, versioning, and monitoring, and how to integrate models into existing software systems.

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Week 1

Model Packaging and Versioning

This module teaches how to package machine learning models into deployable artifacts, such as Docker containers, and version them to enable traceability.

Week 2

Deployment Infrastructure and Orchestration

This module teaches how to deploy machine learning models into production environments using cloud platforms like AWS and Azure, container orchestration tools like Kubernetes, and deployment frameworks like TensorFlow Serving.

Week 3

Model Monitoring and Performance Evaluation

This module covers the process of monitoring deployed machine learning models for accuracy, performance, and reliability, using monitoring tools like Prometheus and Grafana.

Week 4

Integration with Existing Systems

This module covers the process of integrating machine learning models into existing software systems, such as web applications or databases, using REST APIs and libraries like Flask and Django.

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A learning approach that aligns with your company values.

Self-guided

Bite-sized daily lessons that you can easily fit into your schedule. Each day, we release new lessons no longer than 15 minutes. Our lessons are carefully curated to ensure that they're both engaging and informative, allowing you to learn something new every day, and at your own pace.

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Collaborative

Collaborate with other engineers from around the world, providing you with a unique opportunity to learn from others and build your professional network.

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Engaging

Our live learning sessions are designed to be interactive and engaging, giving you the opportunity to ask questions and interact with subject-matter experts.

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Project-based

Learn by solving real-world problems. Our courses are designed to get rid of the fluff and provide you with the most relevant information to help you apply your learning.

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Trusted by teams from global companies

Frequently asked questions

Are all sessions live?

Yes, all sessions during the cohort will be live with the instructor. However, we will record each session and make them available for everyone in the cohort.

What is the time commitment?

Our courses typically have 2-4 modules, with each module lasting for approximately 2h per week which you can block out on your calendar during your work day. You also get some take home projects that you can complete at your own pace.

Do I earn a certificate for this course?

Of course! Once you’ve completed the course modules, you will get a certificate of completion that you can showcase to the world.

What is included in a LearnCrunch membership?

With your LearnCrunch yearly membership, you get access to our live instructor-led cohorts, our catalog of self-guided courses, unlimited real-world projects to learn from and master new skills, exclusive live events for members and a vetted global community of experts and peers.

How much does a LearnCrunch membership cost?

An individual LearnCrunch membership costs $1,000 USD per year. If your company is interested in purchasing multiple seats, please contact hello@learncrunch.com.

Can I expense this course?

Yes. Most LearnCrunch members have expensed this course through their Learning & Development budget, similar to how you expense conferences. You can use this email template to request expense approval from your manager.

I have more questions. Get in touch with us!

If you have more questions, email us at hello@learncrunch.com.

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Victor Chima

Co-Founder at LearnCrunch

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