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This Machine Learning Pipeline on AWS course from CloudThat teaches candidates how to use the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Candidates taking up this Machine Learning Pipeline on AWS training also learn to solve one of three business problems, including recommendation engines, fraud detection, or flight delays.
By the end of the Machine Learning Pipeline AWS training and certification course, candidates are successfully trained to build, evaluate, tune, and deploy an ML model using Amazon SageMaker. Candidates with basic knowledge of Statistics will find this course helpful. This course comprises presentations, group exercises, demonstrations, and hands-on labs.
After completing this course, students will be able to:
To be Decided
We recommend that attendees of this Machine Learning Pipeline on AWS course must have:
Module 0: Introduction
Module 1: Introduction to Machine Learning and the ML Pipeline
Module 2: Introduction to Amazon SageMaker
Module 3: Problem Formulation
Checkpoint 1 and Answer Review
Module 4: Preprocessing
Checkpoint 2 and Answer Review
Module 5: Model Training
Module 6: Model Evaluation
Checkpoint 3 and Answer Review
Module 7: Feature Engineering and Model Tuning
Module 8: Deployment
Pavan is a Microsoft Certified Trainer at CloudThat. He is an enthusiastic and passionate trainer, empathic observer towards the trending technologies with demonstrated skill in Azure and hybrid Cloud Administration. He has 6+ years of corporate experience, etc.
Vivek has been involved in various large and complex projects with global clients. He has experience in AWS, GCP and Azure Cloud Platforms. He has experience in various software development fields like Image Processing, Web designing, Networking etc.
He has been a part of several large and complex software development projects with global clients. He has worked in USA for over 11 years before relocating to India. He has expertise in Database design/development, Web development, etc.
Haris works as Cloud Solutions Architect in CloudThat technologies, being passionate about ever evolving technology. He is specialist on Docker, Kubernetes, Ansible, Git/Jenkins, Terraform and other DevOps Technologies. Haris Architects’ solutions on Cloud as well on-Premises using wide etc.
A Microsoft Certified Trainer with more than 15+ years of Corporate, Online and Classroom Training Experience, well versed in AWS an Azure Cloud platform and have been delivering trainings for more than 5years. Also has a vast etc.
Ajay is cloud obsessed and cloud addict, that's how he describes himself. Ajay has been working with all the major cloud computing platforms like AWS, Azure, and GCP for more than 5 years now. He is into etc.
He is a Cloud enthusiast with demonstrated skills in Azure, AWS Hybrid-Cloud administration, Linux and DevOps. Alongside working on Azure Cloud deployment, administration and implementation, he is also engaged in planning, designing and executing various nice technology etc.
Prarthit has been involved in various large and complex projects with global clients. He has experience in Microsoft, MS office 365 & AWS Infrastructure technologies and Windows servers, designing Active Directory and managing various domain services. He etc.
Priyant is working in the Microsoft Technology space for last 5 years and is sharing the knowledge gained on Azure Administration, Azure Data Engineering and Dynamics 365 CE Apps. He has trained 1000+ professionals as a corporate trainer at etc.
He had involved in various client projects to set up infrastructure on Cloud for various Analytics applications, E-Commerce, setup CICD Pipeline using AWS services. He has experience in developing highly secure, scalable web applications using MVC architecture. etc.
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Course ID: 8546
Course Price at