AWS SageMaker
Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows
Classes : 60 Days : 6 months Duration : Weekdays / Weekends
Get the best of 2 worlds i.e. AWS and ML; and be prepared for your dream job. Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. SageMaker is essentially a cloud-based platform designed to streamline the machine learning workflow.
During this training, you shall be able to build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more - all in one integrated development environment (IDE). In addition, we shall train you to build your own FMs, large models that were trained on massive datasets, with purpose-built tools to fine-tune, experiment, retrain, and deploy FMs.
Apart from learning SageMaker Components, students shall be exposed to the Advanced Techniques i.e. Distributed training using SageMaker with Data Parallelism and Model Parallelism and Hyperparameter Tuning with SageMaker Autopilot. Be it Model Deployment, Model Monitoring or Management, SageMaker Pipelines, SageMaker Security, MLOps or real-world use cases, you get the exposure to the best practices from the industry.
Delivery Method:
This training program is delivered in-person via classroom sessions only. The hands-on labs can be conducted virtually using cloud-based environments with pre-configured SageMaker resources. The training is designed using Certification syllabus and best practices.
Trainers:
Equipped with a multidisciplinary background, Experts from the field of Maths, Financial Markets, Data Science and Management, each with over 25 years of International experience working in EU/US/Australia
Who this training is for:
- Data Scientists (both beginners and experienced)
- Machine Learning Engineers
- Developers interested in Machine Learning and Cloud computing
- AI Scientists and Researchers
- Business analysts who want to get started in AWS
- Financial Institutions
- Finance graduates and professionals who need to better apply their knowledge in Data Science
- PhD students who wish to learn the practical applications of AWS and ML
So what are you waiting for! Learn how to work with AWS SageMaker and be miles ahead of the competition
To get the maximum benefit from the training, we expect that you are familiar with :-
- Basic SQL- Basic Statistics
- Basics of ML
- Basics of Cloud Computing
- Python programming
- Intro to SageMaker Studio
- SageMaker JumpStart
- Basics of SQL, Statistics & Python
- Basics of Machine Learning
- Linear Learner and XGBoost in SageMaker
- Train, Optimize and Deploy Models
- SageMaker Housekeeping
- Pre-trained Service
- AI services
- Time Series Forecasting
- Recommender Systems
- Deep Learning and Neural Networks
- Classifying images with SageMaker
- Model Tuning with SageMaker
- Emerging AI Trends
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AWS SageMaker
Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows
Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.