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Cloud computing and MLOps
Please note to take this course you must first have completed Programming in Python
This course introduces cloud computing and MLOps. It covers the basics of cloud computing from a user point-of-view as well as the principles and practices of MLOps, including model training, deployment, and monitoring. The focus is on giving practical knowledge to participants which gives them the right tools to deploy, test and maintain data science models at scale and structure data science projects correctly.
This module can be taken alone or as part of a PG Certificate, PG Diploma or Full Masters Program.
- 10 Credits
- 100 hours of study
- 15 contact hours
- 85 hours for private study
Faculty
Structure
Structure
Cloud computing and MLOps is an elective 10 credit course and therefore students are expected to input approximately 100 hours of study into the course.
The total number of contact hours is 15 hours. This leaves 85 hours for private study.
There will be an assessment at the end of the course
Lectures
This module consists of 2 - hour lectures per day for 5 days, plus a 1 - hour tutorial per day.
There will be optional clinics on the last day of the course.
The dates of each lecture are confirmed closer to the start of each term. If you have any questions about dates, please contact edu@timberlake.co.uk.
Module Programme
Introduction to Cloud Computing
- Basics of cloud computing
- Using cloud computing in data science projects
Introduction to MLOps
- Basics of MLOps and its importance in data science projects
- Key components of modern MLOps.
Cloud Computing and MLOps
- Building and deploying ML models in the cloud
- Development and testing environments
- Maintaining and monitoring ML models in the cloud
- Versioning, continuous integration, and monitoring in the cloud.
Troubleshooting ML Models in the Cloud
- Challenges and solutions for troubleshooting models in the cloud
- Debugging and ML models in the cloud.
Prerequisites
English Language Requirements
Both Programmes are open to applicants anywhere in the world. We may ask applicants to provide a recognised English language qualification, dependent upon their nationality and where they have studied/worked previously.
The requirement is an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We will also consider other English language qualifications. If their score is below our requirements, they may be eligible for one of Lancaster University's pre-sessional English language programmes.
Academic Requirements
Applicants to the Postgraduate Certificate of Achievement, Postgraduate Certificate, Postgraduate Diploma or full MSc in either programme require either an upper second-class degree in economics, econometrics or related subjects.
Module Requirements
'Module Requirements' - for some modules they must have first completed other modules, for example for this course students must first complete 'Foundations of Econometrics"
Learning Outcomes
- Cloud Computing Proficiency: Ability to utilise cloud computing services in data scienceprojects
- Deployment of Machine Learning Models: Skills to deploy, test, and maintain machinelearning models
- Cloud Service Utilisation: Proficiency in using cloud services for data science applications
- Machine Learning Model Maintenance: Knowledge and skills to maintain machine learningmodels over time
- Practical Application: Applying cloud computing and machine learning skills to real-worldprojects
- Testing Machine Learning Models: Ability to rigorously test machine learning models forreliability
- Cloud Resource Management: Efficiently managing and optimising resources in cloudenvironments
- Data Science Project Implementation: Integrating cloud computing and machine learninginto successful data science projects.
- Understand the basics of cloud computing and its applications
- Compare and contrast the different types of cloud computing services
- Apply the principles and practices of MLOps to train, deploy, and monitor machine learningmodels in the cloud
- Use popular cloud computing platforms, such as AWS and Azure, for MLOps
- Communicate effectively about cloud computing and MLOps concepts and techniques.
Frequently Asked Questions
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
I am very pleased with the MSc programme. As I had already taken some Timberlake courses, I knew what to expect with regard to the quality of teaching and I was not disappointed. I am so satisfied with the lecturers. It is a privilege to attend their lectures and take advantage of their expertise. Apart from that, they are always ready and willing to clarify doubts.
A Collaboration Like No Other
Timberlake Consultants and Lancaster University Management School (LUMS) Economics department have a longstanding partnership; combining 40+ years of industry expertise with over 50 years of academic excellence. We are delighted to build on this with our micro-credential postgraduate courses.
Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education
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Flexible learning
Online postgraduate courses
Specialist courses
Best-in-field experts
Tailored learning
Career-oriented education