Machine Learning using AWS SageMaker Training
Machine Learning using AWS SageMaker Course:
Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. With native support for bring-your-own-algorithms and frameworks, Amazon SageMaker offers flexible distributed training options that adjust to your specific workflows. Deploy a model into a secure and scalable environment by launching it with a single click from the Amazon SageMaker console. Training and hosting are billed by minutes of usage, with no minimum fees and no upfront commitments. A complete hands-on course for anybody with fundamental understanding of machine learning.
Machine Learning using AWS SageMaker Course Curriculum
Understanding Machine Learning Pipeline
SageMaker for Machine Learning
AWS account creation
AWS S3 bucket creation
Data collection, transformation & upload to S3
Model Deployment
Common Information
K-Means Algorithms
Neural Topic Model
Random Cut Forest
XGBoost Algorithm
Custom Interface Code
Use Algorithm & Model Package Resource
Monitor & Analyze Training jobs
Hyperparameter Tuning
Interface Pipeline
Elastic Interface
Standard Practices
Apache Spark with Amazon SageMaker
Apache MXNet with Amazon SageMaker
PyTorch with Amazon SageMaker
Monitoring with CloudWatch
Logging in SageMaker API Calls with AWS CloudTrail
Data Labeling
Workforce for labeling - public,private,vendor
Understanding boto3
DataType
Frequently Asked Questions
This "Machine Learning using AWS SageMaker" course is an instructor-led training (ILT). The trainer travels to your office location and delivers the training within your office premises. If you need training space for the training we can provide a fully-equipped lab with all the required facilities. The online instructor-led training is also available if required. Online training is live and the instructor's screen will be visible and voice will be audible. Participants screen will also be visible and participants can ask queries during the live session.
Participants will be provided "Machine Learning using AWS SageMaker"-specific study material. Participants will have lifetime access to all the code and resources needed for this "Machine Learning using AWS SageMaker". Our public GitHub repository and the study material will also be shared with the participants.
All the courses from zekeLabs are hands-on courses. The code/document used in the class will be provided to the participants. Cloud-lab and Virtual Machines are provided to every participant during the "Machine Learning using AWS SageMaker" training.
The "Machine Learning using AWS SageMaker" training varies several factors. Including the prior knowledge of the team on the subject, the objective of the team learning from the program, customization in the course is needed among others. Contact us to know more about "Machine Learning using AWS SageMaker" course duration.
The "Machine Learning using AWS SageMaker" training is organised at the client's premises. We have delivered and continue to deliver "Machine Learning using AWS SageMaker" training in India, USA, Singapore, Hong Kong, and Indonesia. We also have state-of-art training facilities based on client requirement.
Our Subject matter experts (SMEs) have more than ten years of industry experience. This ensures that the learning program is a 360-degree holistic knowledge and learning experience. The course program has been designed in close collaboration with the experts working in esteemed organizations such as Google, Microsoft, Amazon, and similar others.
Yes, absolutely. For every training, we conduct a technical call with our Subject Matter Expert (SME) and the technical lead of the team that undergoes training. The course is tailored based on the current expertise of the participants, objectives of the team undergoing the training program and short term and long term objectives of the organisation.
Drop a mail to us at [email protected] or call us at +91 8041690175 and we will get back to you at the earliest for your queries on "Machine Learning using AWS SageMaker" course.
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