AWS Specialty Machine Learning Training - India

Offered byThe knowledge academy

AWS Specialty Machine Learning Training - India
at
The knowledge academy
Overview

Duration	2 days
Start from	Start Now
Total fee	₹39,995
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

AWS Specialty Machine Learning Training - India

Table of content

Overview
Highlights
Course Details
Curriculum
Admission Process

AWS Specialty Machine Learning Training - India
at
The knowledge academy
Highlights

Earn a certificate from The Knowledge Academy
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success

AWS Specialty Machine Learning Training - India
at
The knowledge academy
Course details

Who should do this course?

The AWS Machine Learning Course is designed for professionals aiming to harness the power of Machine Learning using Amazon Web Services technologies. This AWS Certification Training Course can be beneficial to various professionals, including:

Data Scientists
Machine Learning Engineers
Software Developers
Data Engineers
Business Analysts
AI Researchers
Solution Architects

What are the course deliverables?

To master AWS SageMaker for Machine Learning model development
To understand data preprocessing and feature engineering
To implement model training and evaluation methodologies
To deploy Machine Learning models on AWS infrastructure
To learn to handle real-world data challenges
To gain proficiency in AWS Machine Learning services

More about this course

This 2-day AWS Specialty Machine Learning Training offered by The Knowledge Academy provides delegates with practical experience using AWS Machine Learning services

You'll learn to process data, train models, and deploy them effectively. Additionally, you'll discover how to seamlessly integrate AWS Machine Learning into your projects, improving productivity and decision-making.

This course is also available in other delivery mode

AWS Specialty Machine Learning Training - India
at
The knowledge academy
Curriculum

Module 1: Get Started with Machine Learning

Artificial Intelligence
Machine Learning
Deep Learning

Module 2: Machine Learning and Deep Learning Theory

Machine Learning Concepts
- Machine Learning Lifecycle
- Supervised Learning, Unsupervised Learning, and Reinforcement Learning
- Optimisation
- Hyperparameters and Validation
Machine Learning Algorithms
- Linear Regression
- Logistic Regression and Syntax of Logistic Regression
- Support Vector Machines
- Decision Tree and Random Forests
- Latent Dirichlet Allocation
Deep Learning Algorithm
Model Performance and Optimisation
Machine Learning Tools and Frameworks

Module 3: Amazon Web Services

Introduction to AWS Services
- S3
- Glue
- Athena
- Quick Start
- Kinesis Data Stream and Kinesis Data Firehose
- Kinesis Video Streams
- Kinesis Data Analytics
- EMR with Spark
- Amazon ML
AWS Application Services AI/MI
- Amazon Recognition
- Amazon Polly
- Amazon Translate
- Amazon Comprehend
- Amazon Lex
- Amazon Service Chaining with AWS Step Functions

Module 4: Amazon SageMaker

What is Amazon SageMaker?
Three Stages
Control SDK and Control Notebooks
SageMaker Notebooks
Build
- Data Preprocessing
- Ground Truth
- Preprocessing Image Data
- Algorithms
Train
- SageMaker Algorithms-Architecture
- Training an Image Classifier
- Hyperparameter Tunning
Deploy
- Inference Pipelines
- Real-Time and Batch Inference
- Deploy an Image Classifier
- Accessing Inference form Apps
- Create a Custom APIs for Inference
Security
- Securing SageMaker Notebooks
- SageMaker and the VPC