A six-month online Machine Learning on AWS offers comprehensive instruction in Amazon Web Services (AWS) cloud computing technologies.
The Machine Learning on AWS program offers a comprehensive suite of tools and services designed to help organizations build, train, and deploy machine learning models efficiently. Key components include Amazon SageMaker, a fully managed service providing an integrated development environment, automated model tuning, and easy deployment. AWS offers pre-built AI services for tasks such as image and video analysis, natural language processing, and personalized recommendations. Additionally, it supports popular machine learning frameworks like TensorFlow, PyTorch, and MXNet. Security and scalability are prioritized, with features such as data encryption and autoscaling. AWS also provides extensive resources for education and training, including the AWS Machine Learning University and certification programs. Overall, it enables businesses to leverage machine learning without needing deep expertise in the field.
₹65000
Programming and scripting/ AWS services/ problem-solving/ Basic understanding of cloud computing
400 Hours
| METHODS | REGISTRATION FEE | PROGRAM FEE | TOTAL FEE |
|---|---|---|---|
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) Track - 1 |
₹3,000 | ₹50,000 | ₹53,000 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) Track - 2 |
- | ₹50,000 | ₹50,000 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) Track - 1 |
$50 | $290 | $340 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) Track - 2 |
- | $290 | $340 |
Notes: GST of 18% is applicable as per Govt of India notification on total course fee.
Students residing outside India need to pay additional fee towards courier charges.
E Prospectus and Application Form
Empowering through innovative solutions and technology integration.
Introduction to Machine Learning and AWS
AWS Machine Learning Services Overview
Data Collection and Preparation
Feature Engineering and Data Transformation
Supervised Learning Algorithms
Unsupervised Learning Algorithms
Model Training and Evaluation
Introduction to Amazon SageMaker
Deployment and Monitoring of ML Models
Real-world Applications of ML on AWS
Advanced Machine Learning Algorithms
Deep Learning with AWS
Natural Language Processing (NLP) on AWS
Computer Vision on AWS
Hyperparameter Tuning and Optimization
Large-scale Machine Learning
Security and Compliance in ML
Ethics and Bias in Machine Learning
Capstone Project Planning
Capstone Project Execution and Presentation
The AWS Master Program is an advanced training and certification initiative offered by Amazon Web Services (AWS) to help professionals deepen their expertise in cloud computing and AWS services. It is designed for individuals who aim to become proficient in architecting, designing, and managing AWS solutions at an advanced level.
To qualify for the AWS Master Program, candidates typically need to hold multiple AWS certifications, including the AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, and AWS Certified SysOps Administrator - Associate certifications. Additionally, candidates should have hands-on experience designing, deploying, and managing complex AWS environments.
Completing the AWS Master Program demonstrates a high level of proficiency in AWS technologies, which can lead to increased job opportunities, career advancement, and higher earning potential. Additionally, participants gain access to exclusive networking opportunities, advanced training materials, and recognition as a certified AWS Master by Amazon Web Services.
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