Immerse in the critical field of machine learning, and through our training, equip your team with practical skills to streamline and scale up operations, overcoming the challenges of managing models in production.
Embark on an MLOps journey with our immersive training program today
Who is this for?
Data Scientists, Data Engineers, DevOps Engineers and more
In-depth Coverage: MLOps Training Course
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Recap of Machine learning and its Frameworks
Revisit the fundamentals of machine learning and its frameworks, refreshing your understanding of the concepts and tools that drive modern AI solutions.
Introduction to MLOps and managing machine learning lifecycles
Discover the world of MLOps, the practice that streamlines machine learning lifecycles, and learn how to manage the development, deployment, and maintenance of AI applications.
Managing Data Science Artifacts and features with DVC and Feast
Explore Data Version Control (DVC) and Feast, the tools that facilitate efficient management of data science artifacts and features, ensuring seamless collaboration and reproducibility.
Building and deploying machine learning pipelines with Kubeflow
Discover Kubeflow, the platform that simplifies the creation and deployment of machine learning pipelines, boosting your ability to manage complex AI workflows.
Job orchestration with Airflow
Gain insights into the power of Apache Airflow for orchestrating and scheduling machine learning jobs, optimizing the execution of your AI workloads.
Deploying ML artifacts to production
Learn the best practices and techniques for deploying machine learning artifacts to production, ensuring the seamless integration of AI solutions into your applications and systems.
Future topics shaped by your team's needs
The journey doesn't stop here! Depending on your team's requirements, we're ready to introduce future topics or additional technology training, providing an adaptable learning experience you won't find elsewhere.
Program Goal
What You Will Take Away
The goal of this course is to provide you with a comprehensive understanding of MLOps and its ecosystem. By the end of the course, you will be able to:
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Understand the challenges of managing machine learning models in production
Use common tools to track and manage machine learning experiments and artifacts
Use Kubeflow to build and deploy machine learning pipelines
Deploy machine learning models to production and monitor them
Hear from our satisfied course attendees
UTA coached my team along the development process of the migration plan of our on premises data lake to the public cloud. The outstanding level of expertise, both on a technical and organizational level, ensured a well-structured and realistic migration plan including timeline, milestones, and efforts. The enablement of my team was at the center of a very smooth collaboration. Through UTA, we achieved our goal faster and reduced risks of the migration project significantly. I highly recommend UTA’s services!
Reinhard Burgmann
Head of Data Ecosystem, A1 Telekom Austria AG
I recently attended Vattenfall IT's online Kafka training day hosted by Ultra Tendency and it was an enriching experience. The trainer, Ahmed, did a fantastic job of explaining the theory behind Kafka, and the emphasis on practical application was great. The hands-on programming exercises were particularly helpful, and I've never experienced training with so many interactive examples! Overall, I highly recommend this training to anyone who wants to improve their Kafka knowledge interactively and gain valuable skills.
Bernard Benning
Vattenfall, BA Heat
Meet the Trainers
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Matthias Baumann
Chief Technology Officer & Principal Big Data Solutions Architect Lead, Ultra Tendency
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Hudhaifa Ahmed
Senior Lead Big Data Developer & Berlin Territory Manager, Ultra Tendency
Marvin Taschenberger
Professional Software Architect, Ultra Tendency
Frequently Asked Questions
Here you can see a series of questions that are commonly asked by customers.
Customized Trainings
Tailor-made training programs meet your team's unique needs, promoting exponential skills growth.
Practice-oriented Approach
Our method provides hands-on solutions to real data challenges, enabling immediate practical application.
Broad Technological Coverage
Our comprehensive knowledge of modern technologies ensures your business can scale and excel in the digital era.
Tech Deep Dive
Experience a deep exploration into new tech trends, gaining profound insights and knowledge.
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